MEPS HC-097: 2005 Full Year Consolidated Data File

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MEPS HC-097: 2005 Full Year Consolidated Data File
November 2007
Agency for Healthcare Research and Quality
Center for Financing, Access, and Cost Trends
540 Gaither Road
Rockville, MD 20850
(301) 427-1406

Table of Contents

A. Data Use Agreement
B. Background
1.0 Household Component
2.0 Medical Provider Component
3.0 Survey Management and Data Collection
C. Technical and Programming Information
1.0 General Information
2.0 Data File Information
2.1 Using MEPS Data for Longitudinal Analysis
2.2 Codebook Structure
2.3 Reserved Codes
2.4 Codebook Format
2.5 Variable Naming
2.6 File Contents
2.6.1 Survey Administration Variables (DUID- RURSLT53)
2.6.2 Navigating the MEPS Data with Information on Person Disposition Status
2.6.3 Demographic Variables (AGE31X-DAPID53X)
2.6.4 Income and Tax Filing Variables (SSIDIS05-OTHIMP05)
2.6.4.1 Income Top-Coding
2.6.4.2 Poverty Status
2.6.5 Health Status Variables (RTHLTH31-DSPRX53)
2.6.5.1 Perceived Health Status and IADL and ADL Limitations
2.6.5.2 Functional and Activity Limitations
2.6.5.3 Vision Problems
2.6.5.4 Hearing Problems
2.6.5.5 Any Limitation Rounds 3, 4, and 5 (Panel 9) / Rounds 1, 2, and 3 (Panel 10)
2.6.5.6 Child Health and Preventive Care
2.6.5.7 Preventive Care Variables
2.6.5.8 Priority Conditions
2.6.5.9 2005 Self-Administered Questionnaire (SAQ)
2.6.5.10 Diabetes Care Survey (DCS)
2.6.6 Disability Days Indicator Variables (DDNWRK31 - OTHNDD53)
2.6.7 Access to Care Variables (ACCELI42-PMDLPR42)
2.6.7.1 Family Members' Origins and Preferred Languages
2.6.7.2 Family Members' Usual Source of Health Care
2.6.7.3 Characteristics of Usual Source of Health Care Providers
2.6.7.4 Access to and Satisfaction with the Provider
2.6.7.5 Access to Medical Treatment, Dental Treatment, and Prescription Medicines
2.6.7.6 Editing the Access to Care Variables
2.6.7.7 Recoding of Additional Other Specify Text Items
2.6.8 Employment Variables (EMPST31-YNOINS53)
2.6.9 Health Insurance Variables (TRIJA05X-PMEDPY53)
2.6.9.1 Monthly Health Insurance Indicators (TRIJA05X-INSDE05X)
2.6.9.2 Summary Insurance Coverage Indicators (PRVEV05-INSCOV05)
2.6.9.3 FY 2005 PUF Managed Care Variables (TRIST31X-PRDRNP05)
2.6.9.4 Unedited Health Insurance Variables (PREVCOVR-INSENDYY)
2.6.9.5 Health Insurance Coverage Variables – At Any Time/At Interview Date/At 12-31 Variables (TRICR31X - EVRUNAT)
2.6.9.6 Dental and Prescription Drug Private Insurance Variables (DENTIN31-PMEDPY53)
2.6.9.7 Experiences with Public Plans Variables (GDCPBM42 – RTPLNT42)
2.6.10 Utilization, Expenditures and Sources of Payment Variables (TOTTCH05-RXOSR05)
2.6.10.1 Expenditure Definition
2.6.10.2 Utilization and Expenditure Variables by Type of Medical Service
2.7 Linking to Other Files
2.7.1 Event and Condition Files
2.7.2 National Health Interview Survey
2.7.3 Pooling Annual Files
2.7.4 Longitudinal Analysis
3.0 Survey Sample Information
3.1 Background on Sample Design and Response Rates
3.1.1 References
3.1.2 MEPS--Linked to the National Health Interview Survey
3.1.3 Sample Weights and Variance Estimation
3.2 The MEPS Sampling Process and Response Rates: An Overview
3.2.1 Response Rates
3.2.2 Panel 10 Response Rates
3.2.3 Panel 9 Response Rates
3.2.4 Combined Panel Response
3.2.5 Oversampling
3.3 Background on Person-Level Estimation Using this MEPS Public Use Release
3.3.1 Overview
3.3.2 Developing Person-Level Estimates
3.4 Details on Person-Level Weights Construction
3.4.1 Overview
3.4.2 MEPS Panel 9
3.4.3 MEPS Panel 10
3.4.4 Raking
3.4.5 The Final Weight for 2005
3.4.6 A Note on MEPS Population Estimates
3.4.7 Coverage
3.5 Family-Level Estimation Using This MEPS Public Use Release
3.6 Analysis Using Health Insurance Eligibility Units
3.7 Weights and Response Rates for the Self-Administered Questionnaire
3.8 Weights and Response Rates for the Diabetes Care Survey
3.9 Variance Estimation
3.10 Guidelines for Determining which Weight to Use for Analysis Involving Data/Variables from Multiple Sources and Supplements: MEPS 2005 Full-Year Consolidated File
3.11 Using MEPS Data for Trend Analysis
D. Variable-Source Crosswalk
Appendix 1: Summary of Utilization and Expenditure Variables by Health Service Category

A. Data Use Agreement

Individual identifiers have been removed from the micro-data contained in these files. Nevertheless, under sections 308 (d) and 903 (c) of the Public Health Service Act (42 U.S.C. 242m and 42 U.S.C. 299 a-1), data collected by the Agency for Healthcare Research and Quality (AHRQ) and/or the National Center for Health Statistics (NCHS) may not be used for any purpose other than for the purpose for which they were supplied; any effort to determine the identity of any reported cases is prohibited by law.

Therefore in accordance with the above referenced Federal Statute, it is understood that:

No one is to use the data in this data set in any way except for statistical reporting and analysis; and
If the identity of any person or establishment should be discovered inadvertently, then (a) no use will be made of this knowledge, (b) the Director Office of Management AHRQ will be advised of this incident, (c) the information that would identify any individual or establishment will be safeguarded or destroyed, as requested by AHRQ, and (d) no one else will be informed of the discovered identity; and
No one will attempt to link this data set with individually identifiable records from any data sets other than the Medical Expenditure Panel Survey or the National Health Interview Survey.

By using these data you signify your agreement to comply with the above stated statutorily based requirements with the knowledge that deliberately making a false statement in any matter within the jurisdiction of any department or agency of the Federal Government violates Title 18 part 1 Chapter 47 Section 1001 and is punishable by a fine of up to $10,000 or up to 5 years in prison.

The Agency for Healthcare Research and Quality requests that users cite AHRQ and the Medical Expenditure Panel Survey as the data source in any publications or research based upon these data.

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B. Background

1.0 Household Component

The Medical Expenditure Panel Survey (MEPS) provides nationally representative estimates of health care use, expenditures, sources of payment, and health insurance coverage for the U.S. civilian non-institutionalized population. The MEPS Household Component (HC) also provides estimates of respondents' health status, demographic and socio-economic characteristics, employment, access to care, and satisfaction with health care. Estimates can be produced for individuals, families, and selected population subgroups. The panel design of the survey, which includes 5 Rounds of interviews covering 2 full calendar years, provides data for examining person level changes in selected variables such as expenditures, health insurance coverage, and health status. Using computer assisted personal interviewing (CAPI) technology, information about each household member is collected, and the survey builds on this information from interview to interview. All data for a sampled household are reported by a single household respondent.

The MEPS-HC was initiated in 1996. Each year a new panel of sample households is selected. Because the data collected are comparable to those from earlier medical expenditure surveys conducted in 1977 and 1987, it is possible to analyze long-term trends. Each annual MEPS-HC sample size is about 15,000 households. Data can be analyzed at either the person or event level. Data must be weighted to produce national estimates.

The set of households selected for each panel of the MEPS HC is a subsample of households participating in the previous year's National Health Interview Survey (NHIS) conducted by the National Center for Health Statistics. The NHIS sampling frame provides a nationally representative sample of the U.S. civilian non-institutionalized population and reflects an oversample of blacks and Hispanics. MEPS oversamples additional policy relevant sub-groups such as Asians and low income households. The linkage of the MEPS to the previous year's NHIS provides additional data for longitudinal analytic purposes.

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2.0 Medical Provider Component

Upon completion of the household CAPI interview and obtaining permission from the household survey respondents, a sample of medical providers are contacted by telephone to obtain information that household respondents can not accurately provide. This part of the MEPS is called the Medical Provider Component (MPC) and information is collected on dates of visit, diagnosis and procedure codes, charges and payments. The Pharmacy Component (PC), a subcomponent of the MPC, does not collect charges or diagnosis and procedure codes but does collect drug detail information, including National Drug Code (NDC) and medicine name, as well as date filled and sources and amounts of payment. The MPC is not designed to yield national estimates. It is primarily used as an imputation source to supplement/replace household reported expenditure information.

3.0 Survey Management and Data Collection

MEPS HC and MPC data are collected under the authority of the Public Health Service Act. Data are collected under contract with Westat, Inc. Data sets and summary statistics are edited and published in accordance with the confidentiality provisions of the Public Health Service Act and the Privacy Act. The National Center for Health statistics (NCHS) provides consultation and technical assistance.

As soon as data collection and editing are completed, the MEPS survey data are released to the public in staged releases of summary reports, micro data files, and tables via the MEPS web site: www.meps.ahrq.gov. Selected data can be analyzed through MEPSnet, an on-line interactive tool designed to give data users the capability to statistically analyze MEPS data in a menu-driven environment.

Additional information on MEPS is available from the MEPS project manager or the MEPS public use data manager at the Center for Financing Access and Cost Trends, Agency for Healthcare Research and Quality, 540 Gaither Road, Rockville, MD 20850 (301-427-1406).

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C. Technical and Programming Information

1.0 General Information

This documentation describes the 2005 full-year consolidated data file from the Medical Expenditure Panel Survey Household Component (MEPS HC). Released as an ASCII file (with related SAS and SPSS programming statements and data user information) and a SAS transport dataset, this public use file provides information collected on a nationally representative sample of the civilian noninstitutionalized population of the United States for calendar year 2005. The file contains 1655 variables and has a logical record length of 4543 with an additional 2-byte carriage return/line feed at the end of each record.

This file consists of MEPS survey data obtained in Rounds 3, 4, and 5 of Panel 9 and Rounds 1, 2, and 3 of Panel 10, the rounds for the MEPS panels covering calendar year 2005, and contains variables pertaining to survey administration, demographics, employment, health status, disability days, quality of care, patient satisfaction, health insurance, income and person-level medical care use and expenditures.

The following documentation offers a brief overview of the types and levels of data provided, content and structure of the files, and programming information. It contains the following sections:

Data File Information
Survey Sample Information
Variable-Source Crosswalk (Section D)

A codebook of all the variables included in the 2005 full-year consolidated data file is provided in a separate file (H97CB.PDF, H97CB.HTM).

A database of all MEPS products released to date and a variable locator indicating the major MEPS data items on public use files that have been released to date can be found at the following link on the MEPS Web site: www.meps.ahrq.gov.

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2.0 Data File Information

This public use dataset contains variables and frequency distributions associated with 33,961 persons who participated in the MEPS Household Component of the Medical Expenditure Panel Survey in 2005. These persons received a person-level weight, a family-level weight, or both (some participating persons belonged to families characterized as family-level nonrespondents while some members of participating families were not eligible for a person-level weight). These persons were part of one of the two MEPS panels for whom data were collected in 2005: Rounds 3, 4, and 5 of Panel 9 or Rounds 1, 2, and 3 of Panel 10. Of these persons, 32,320 were assigned a positive person-level weight. There were 12,810 families receiving a positive family-level weight. The codebook provides both weighted and unweighted frequencies for each variable on the dataset. In conjunction with the person-level weight variable (PERWT05F) provided on this file, data for persons with a positive person-level weight can be used to make estimates for the civilian noninstitutionalized U. S. population for 2005.

2.1 Using MEPS Data for Longitudinal Analysis

The records on this file can be linked to all other 2005 MEPS-HC public use data sets by the sample person identifier (DUPERSID). Panel 9 cases (PANEL=9) can also be linked back to the 2004 MEPS-HC public use files. Panel specific files containing estimation variables to facilitate longitudinal analysis are available for downloading in the data section of the MEPS Web site.
Each MEPS panel can also be linked back to the previous years National Health Interview Survey public use data files. For information on obtaining MEPS/NHIS link files please see http://www.meps.ahrq.gov/mepsweb/data_stats/more_info_download_data_files.jsp.

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2.2 Codebook Structure

The codebook and data file sequence lists variables in the following order:

Unique person identifiers and survey administration variables
Geographic variables
Demographic variables
Income and tax filing variables
Employment variables
Health insurance variables
Disability days variables
Access to care variables
Health status variables
Utilization, expenditure, and source of payment variables
Weight and variance estimation variables

2.3 Reserved Codes

The following reserved code values are used:

VALUE	DEFINITION
-1 INAPPLICABLE	Question was not asked due to skip pattern
-2 DETERMINED IN PREVIOUS ROUND	Question was not asked in round because there was no change in current main job since previous round
-7 REFUSED	Question was asked and respondent refused to answer question
-8 DK	Question was asked and respondent did not know answer
-9 NOT ASCERTAINED	Interviewer did not record the data
-10 HOURLY WAGE>= $72.12	Hourly wage was top-coded for confidentiality
-13 INITIAL WAGE IMPUTED	Hourly wage was previously imputed so an updated wage is not included in this file

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2.4 Codebook Format

This codebook describes an ASCII data set and provides the following programming identifiers for each variable:

IDENTIFIER	DESCRIPTION
Name	Variable name (maximum of 8 characters)
Description	Variable descriptor (maximum 40 characters)
Format	Number of bytes
Type	Type of data: numeric (indicated by NUM) or character (indicated by CHAR)
Start	Beginning column position of variable in record
End	Ending column position of variable in record

2.5 Variable Naming

In general, variable names reflect the content of the variable, with an eight-character limitation. Edited variables end in an X and are so noted in the variable label. The last two characters in round-specific variables denote the rounds of data collection, Round 3, 4, or 5 of Panel 9 and Round 1, 2, or 3 of Panel 10. Unless otherwise noted, variables that end in “05” represent status as of December 31, 2005.

Variables contained in this delivery were derived either from the questionnaire itself or from the CAPI. The source of each variable is identified in the section of the documentation entitled “Section D. Variable-Source Crosswalk”. Sources for each variable are indicated in one of four ways: (1) variables derived from CAPI or assigned in sampling are so indicated; (2) variables derived from complex algorithms associated with re-enumeration are labeled “RE Section”; (3) variables that are collected by one or more specific questions in the instrument have those question numbers listed in the Source column; and (4) variables constructed from multiple questions using complex algorithms are labeled “Constructed.”

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2.6 File Contents

Users of MEPS data should be aware that the survey collects data for all sample persons who were in the survey target population at any time during the survey period. In other words, a small proportion of individuals in MEPS analytic files are not members of the survey target population (i.e., civilian noninstitutionalized) for the entire survey period. These persons include those who had periods during which they lived in an institution (e.g., nursing home or prison), were in the military, or lived out of the country, as well as those who were born (or adopted) into MEPS sample households or died during the year. They are considered respondents to the survey and are included in MEPS data files with positive person weights, but no data were collected for the periods they were not in-scope and their annual data for variables like health care utilization, expenditures, and insurance coverage reflect only the part of the year they were in-scope for the survey. Persons who are in-scope for only part of the year should not be confused with non-respondents. Sample persons who are classified as non-respondents to one or more rounds of data collection (i.e., initial non-respondents and drop outs over time) are not included in MEPS annual files, and survey weights for full-year respondents are inflated through statistical adjustment procedures to compensate for both full and part-year nonresponse (see section 3.0 for more information). For more details about the identification and analytic considerations regarding sample persons who are in-scope only part of the year, see www.meps.ahrq.gov/about_meps/hc_sample.shtml.

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2.6.1 Survey Administration Variables (DUID-RURSLT53)

The survey administration variables contain information related to conducting the interview, household and family composition, and person-level and RU-level status codes. Data for the survey administration variables were derived from the sampling process, the CAPI programs, or were computed based on information provided by the respondent in the re-enumeration section of the questionnaire. Most survey administration variables on this file are asked during every round of the MEPS interview. They describe data for Rounds 3/1, 4/2, 5/3 status and status as of December 31, 2005. Variable names ending in “xy” represent variables relevant to Round “x” of Panel 9 or Round “y” of Panel 10. For example, RULETR53 is a variable relevant to Round 5 of Panel 9 or Round 3 of Panel 10, depending on the panel in which the person was included. The variable PANEL indicates the panel in which the person participated.

The December 31, 2005 variables were developed in two ways. Those used in the construction ofeligibility, inscope, and the end reference date were based on an exact date. The remaining variables were constructed using data from specific rounds, if available. If data were missing from the target round but were available in another round, data from that other round were used in the variable construction. If no valid data were available during any round of data collection, an appropriate reserved code was assigned.

Dwelling Units, Reporting Units, and Families

The definitions of Dwelling Units (DUs) in the MEPS Household Survey are generally consistent with the definitions employed for the National Health Interview Survey (NHIS). The Dwelling Unit ID (DUID) is a five-digit random ID number assigned after the case was sampled for MEPS. A person number (PID) uniquely identifies each person within the DU. The variable DUPERSID is the combination of the variables DUID and PID.

PANEL is a constructed variable used to specify the panel number for the person. PANEL will indicate either Panel 9 or Panel 10 for each person on the file. Panel 9 is the panel that started in 2004, and Panel 10 is the panel that started in 2005.

A Reporting Unit (RU) is a person or group of persons in the sampled DU who are related by blood, marriage, adoption, foster care, or other family association. Each RU was interviewed as a single entity for MEPS. Thus, the RU serves chiefly as a family-based “survey” operations unit rather than an analytic unit. Members of each RU within the DU are identified in the pertinent three rounds by the round-specific variables RULETR31, RULETR42, and RULETR53. End-of-year status (as of December 31, 2005 or the last round they were in the survey) is indicated by the RULETR05 variable. Regardless of the legal status of their association, two persons living together as a “family” unit were treated as a single RU if they chose to be so identified. Examples of different types of RUs are:

A married daughter and her husband living with her parents in the same DU constitute a single RU;
A husband and wife and their unmarried daughter, age 18, who is living away from home while at college constitute two RUs; and
Three unrelated persons living in the same DU would each constitute a distinct RU (a total of three RUs).

Unmarried college students (less than 24 years of age) who usually live in the sampled household but were living away from home and going to school at the time of the Round 3/1 MEPS interview were treated as a RU separate from that of their parents for the purpose of data collection.

The round-specific variables RUSIZE31, RUSIZE42, RUSIZE53, and the end-of-year status variable RUSIZE05 indicate the number of persons in each RU, treating students as single RUs separate from their parents. Thus, students are not included in the RUSIZE count of their parents’ RU. However, for many analytic objectives, the student RUs would be combined with their parents’ RU, treating the combined entity as a single family. Family identifier and size variables are described below and include students with their parents’ RU.

The round-specific variables FAMID31, FAMID42, FAMID53, and the end-of-year status variable FAMID05 identify a family (i.e., persons related to one another by blood, marriage, adoption, foster care, or self-identified as a single unit) for each round and as of December 31, 2005. The FAMID variables differ from the RULETR variables only in that student RUs are combined with their parents’ RU.

Two other family identifiers, FAMIDYR and CPSFAMID, are provided on this file. The annualized family ID letter, FAMIDYR, identifies eligible members of the eligible annualized families within a DU. The CPSFAMID represents a redefinition of MEPS families into families defined by the Current Population Survey (CPS). Some of the distinctions between CPS-and MEPS-defined families are that MEPS families include and CPS families do not include: non-married partners, foster children, and in-laws. These persons are considered as members of separate families for CPS-like families. The reason CPS-like families are defined is so that a poverty status classification variable consistent with established definitions of poverty can be assigned to the CPS-like families and used for weight poststratification purposes. In order to identify a person’s family affiliation, users must create a unique set of FAMID variables by concatenating the DU identifier and the FAMID variable. Instructions for creating family estimates are described in section 3.5.

Health Insurance Eligibility Units (HIEUs) are sub-family relationship units constructed to include adults plus those family members who would typically be eligible for coverage under the adults' private health insurance family plans. To construct the HIEUIDX variable, which links persons into a common HIEU, we begin with the family identification variable CPSFAMID. Working with this family ID, we define HIEUIDX using family relationships as of the end of 2005. Persons missing end-of-year relationship information are assigned to an HIEUIDX using relationship information from the last round in which they provided such information. HIEUs comprise adults, their spouses, and their unmarried natural/adoptive children age 18 and under. We also include children under age 24 who are full-time students (living at home or away from home). Other children who do not live with their natural/adoptive adult parents are placed in an HIEUIDX as follows:

Foster children always comprise a separate HIEUIDX.

Other unmarried children are placed in stepparent HIEUIDX, grandparent HIEUIDX, great-grandparent HIEUIDX, or aunt/uncle HIEUIDX.

Children of unmarried minors are placed (along with their minor parents) in the HIEUIDX of their adult grandparents (if possible). Married minors are placed into separate HIEUs along with any spouses and children they might have.

Some HIEUs are headed by unmarried minors, when there is no adult family member present in the CPSFAMID.

HIEUs do not, in general, comprise adult (nonmarital) partnerships, because unmarried adult partners are rarely eligible for dependent coverage under each other's insurance. The exception to this rule is that we include adult partners in the same HIEU if there is at least one (out-of-wedlock) child in the family that links to both adult partners. In cases of missing or contradictory relationship codes, HIEUs are edited by hand, with the presumption being that the adults and children form a nuclear family.

The round-specific variables FAMSZE31, FAMSZE42, FAMSZE53, and the end-of-year status variable FAMSZE05 indicate the number of persons associated with a single family unit after students are linked to their associated parent RUs for analytical purposes. Family-level analyses should use the FAMSZE variables.

Note that the variables RUSIZE31, RUSIZE42, RUSIZE53, RUSIZE05, FAMSZE31, FAMSZE42, FAMSZE53, and FAMSZE05 exclude persons who are ineligible for data collection (i.e., those where ELGRND31 NE 1, ELGRND42 NE 1, ELGRND53 NE 1 or ELGRND05 NE 1); analysts should exclude ineligible persons in a given round from all family-level analyses for that round.

The round-specific variables RURSLT31, RURSLT42, and RURSLT53 indicate the RU response status for each round. Users should note that the values for RURSLT31 differ from those for RURSLT42 and RURSLT53. The values for RURSLT31 include the following:

Value	Definition
-1	Inapplicable
60	Complete with RU member
61	Complete with proxy‑‑all RU members deceased
62	Complete with proxy‑‑all RU members institutionalized or deceased
63	Complete with proxy, other
72	RU institutionalized in prior round; still institutionalized—R3 only
80	Entire RU merged with other RU
81	Entire RU deceased before 1/1/05
82	Entire RU is in military before 1/1/05
83	RU institutionalized before 1/1/05
84	Entire RU left U.S. before 1/1/05
85	RU ineligible before 1/1/05, multi-reason
86	RU ineligible, Non-Key NHIS study
87	Re-enumeration complete, no eligible RU member, Ineligible RU
88	Unavailable during field period
89	Too ill, No proxy
90	Physical/Mental incompetent, No proxy
91	Final Refusal
92	Final Breakoff
93	Unable to locate
94	Entire RU is military or left U.S. after 1/1/05
95	RU member institutionalized after 1/1/05, No proxy
96	RU member deceased after 1/1/05, No proxy
97	Re-enumeration complete, no RU member, Non-Response
98	RU moved too far away to interview
99	Final other Non-Response

The values for RURSLT42 and RURSLT53 include the following:

Value	Definition
-1	Inapplicable
60	Complete with RU member
61	Complete with proxy‑‑all RU members deceased
62	Complete with proxy‑‑all RU members institutionalized or deceased
63	Complete with proxy, other
70	Entire RU merged with other RU
71	Re-enumeration complete, no eligible RU member, Ineligible RU
72	RU institutionalized in prior round; still institutionalized
81	Entire RU deceased before 1/1/05
82	Entire RU is in military before 1/1/05
83	RU institutionalized before 1/1/05
84	Entire RU left U.S. before 1/1/05
85	RU ineligible before 1/1/05, multi-reason
86	RU ineligible, Non-Key NHIS study
87	Language Barrier
88	Unavailable during field period
89	Too ill, No proxy
90	Physical/Mental incompetent, No proxy
91	Final Refusal
92	Final Breakoff
93	Unable to locate
94	Entire RU is military or left U.S. after 1/1/05
95	RU member institutionalized after 1/1/05, No proxy
96	RU member deceased after 1/1/05, No proxy
97	Re-enumeration complete, no RU member, Non-Response
98	RU moved too far away to interview
99	Final other Non-Response

Standard or primary RUs are the original RUs from NHIS. A new RU is one created when members of the household leave the primary RU and are followed according to the rules of the survey. A student RU is an unmarried college student (under 24 years of age) who is considered a usual member of the household, but was living away from home while going to school, and was treated as a Reporting Unit (RU) separate from his or her parents’ RU for the purpose of data collection. RUCLAS05 was set based on the RUCLAS values from Rounds 3/1, 4/2, and 5/3. If the person was present in the responding RU in Round 5/3, then RUCLAS05 was set to RUCLAS53. If the person was not present in a responding RU in Round 5/3 but was present in Round 4/2, then RUCLAS05 was set to RUCLAS42. If the person was not present in either Rounds 4/2 or 5/3 but was present in Round 3/1, then RUCLAS05 was set to RUCLAS31. If the person was not linked to a responding RU during any round, then RUCLAS05 was set to -9.

Geographic Variables

The round-specific variables REGION31, REGION42, REGION53, and the end-of-year status variable REGION05 indicate the Census region for the RU. REGION05 indicates the region for the 2005 portion of Round 5/3. For most analyses, REGION05 should be used.

The values and states for each region include the following:

Value	Label	States
1	Northeast	Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont
2	Midwest	Indiana, Illinois, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin
3	South	Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West Virginia
4	West	Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming

The round-specific variables MSA31, MSA42, and MSA53 and the end-of-year status variable MSA05 indicate whether or not the RU is found in a metropolitan statistical area. MSA31, MSA42, and MSA53 indicate the MSA status at the time of Rounds 3/1, 4/2, and 5/3 interviews. MSA05 indicates the MSA status for the 2005 portion of Round 5/3. For most analyses, analysts should use MSA05 rather than MSA31, MSA42, or MSA53. For MEPS data releases prior to 2004 the MSA variables were coded in compliance with the definition of metropolitan statistical areas based on application of OMB standards to Census 1990 data.

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Reference Period Dates

The reference period is the period of time for which data were collected in each round for each person. The reference period dates were determined during the interview for each person by the CAPI program. The round-specific beginning reference period dates are included for each person. These variables include BEGRFM31, BEGRFD31, BEGRFY31, BEGRFM42, BEGRFD42, BEGRFY42, BEGRFM53, BEGRFD53, and BEGRFY53. The reference period for Round 1 for most persons began on January 1, 2005 and ended on the date of the Round 1 interview. For RU members who joined later in Round 1, the beginning Round 1 reference date was the date the person entered the RU. For all subsequent rounds, the reference period for most persons began on the date of the previous round’s interview and ended on the date of the current round’s interview. Persons who joined after the previous round’s interview had their beginning reference date for the round set to the day they joined the RU.

The round-specific ending reference period dates for Rounds 3/1, 4/2, and 5/3 as well as the end-of-year reference period end date variables are also included for each person. These variables include ENDRFM31, ENDRFD31, ENDRFY31, ENDRFM42, ENDRFD42, ENDRFY42, ENDRFM53, ENDRFD53, ENDRFY53, ENDRFM05, ENDRFD05, and ENDRFY05. For most persons in the sample, the date of the round’s interview is the reference period end date. Note that the end date of the reference period for a person is prior to the date of the interview if the person was deceased during the round, left the RU, was institutionalized prior to that round’s interview, or left the RU to join the military.

Reference Person Identifiers

The round-specific variables REFPRS31, REFPRS42, and REFPRS53 and the end-of-year status variable REFPRS05 identify the reference person for Rounds 3/1, 4/2 and 5/3, and as of December 31, 2005 (or the last round they were in the survey). In general, the reference person is defined as the household member 16 years of age or older who owns or rents the home. If more than one person meets this description, the household respondent identifies one from among them. If the respondent is unable to identify a person fitting this definition, the questionnaire asks for the head of household and this person is then considered the reference person for that RU. This information is collected in the Reenumeration section of the CAPI questionnaire.

Respondent Identifiers

The respondent is the person who answered the interview questions for the Reporting Unit (RU). The round-specific variables RESP31, RESP42, and RESP53 and the end-of-year status variable RESP05 identify the respondent for Rounds 3/1, 4/2, and 5/3 and as of December 31, 2005 (or the last round they were in the survey). Only one respondent is identified for each RU. In instances where the interview was completed in more than one session, only the first respondent is indicated.

There are two types of respondents. The respondent can be either an RU member or a non-RU member proxy. The round-specific variables PROXY31, PROXY42, and PROXY53 and the end-of-year status variable PROXY05 identify the type of respondent for Rounds 3/1, 4/2, 5/3 and as of December 31, 2005 (or the last round they were in the survey).

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Language of Interview

The language of interview variable (INTVLANG) is a summary value of the round-specific RU-level Closing section question, (CL62A), which asks the interviewer to record the language in which the interview was completed. Given the first round that the person was part of the study and the person’s associated RU for that round, INTVLANG is assigned the interview language value reported for the person's RU for the round.

Person Status

A number of variables describe the various components reflecting each person’s status for each round of data collection. These variables provide information about a person’s inscope status, Keyness status, eligibility status, and disposition status. These variables include: KEYNESS, INSCOP31, INSCOP42, INSCOP53, INSCOP05, INSC1231, INSCOPE, ELGRND31, ELGRND42, ELGRND53, ELGRND05, PSTATS31, PSTATS42, and PSTATS53. These variables are set based on sampling information and responses provided in the Re-enumeration section of the CAPI questionnaire.

Through the Re-enumeration section of the CAPI questionnaire, each member of a RU was classified as “Key” or “Non-Key”, “inscope” or “out-of-scope”, and “eligible” or “ineligible” for MEPS data collection. To be included in the set of persons used in the derivation of MEPS person-level estimates, a person had to be a member of the civilian noninstitutionalized population for at least one day during 2005. Because a person's eligibility for the survey might have changed since the NHIS interview, a sampling re-enumeration of household membership was conducted at the start of each round’s interview. Only persons who were “inscope” sometime during the year, were “Key”, and responded for the full period in which they were inscope were assigned positive person-level weights and thus are to be used in the derivation of person-level national estimates from the MEPS.

Note: If analysts want to subset to infants born during 2005, then newborns should be identified using AGE05X = 0 rather than PSTATSxy = 51.

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Inscope

The round-specific variables INSCOP31, INSCOP42, and INSCOP53 indicate a person’s inscope status for Rounds 3/1, 4/2, and 5/3. INSCOP05, INSC1231, and INSCOPE indicate a person’s inscope status for the portion of Round 5/3 that covers 2005, the person’s inscope status as of 12/31/05, and whether a person was ever inscope during the calendar year 2005. A person was considered as inscope during a round or a referenced time period if he or she was a member of the U.S. civilian, noninstitutionalized population at some time during that round or that time period. The values of these variables taken in conjunction allow one to determine inscope status over time (for example, becoming inscope in the middle of a round, as would be the case for newborns). These variables may contain the following values and corresponding labels:

Value	Definition
0	Incorrectly listed, or on NHIS roster but out-of-scope prior to January 1, 2005
1	Person is inscope for the whole reference period
2	Person is inscope at the start of the RU reference period, but not at the end of the RU reference period
3	Person is not inscope at the start of RU reference period, but is inscope at the end of the RU reference period. (For example, the person is inscope from the date the person joined the RU or the person was in the military in the previous round, but is no longer in the military in the current round)
4	Person is inscope during the reference period, but neither at the reference start date nor on the reference end date. (For example, person leaves an institution, goes into community, and then dies)
5	Person is out-of-scope for all of the reference period during which he or she is in an RU member. (For example, the person is in the military)
6	Person is out-of-scope for the entire reference period and is not a member of the RU during this time period and was inscope and an RU member in an earlier round
7	Person is not in an RU, joined in a later round (or joined the RU after December 31, 2005 for INSCOP05)
8	RU Non-response and Key persons who left an RU with no tracing info and so a new RU was not formed
9	Person is non-Key or full-time in the military, not a member of an RU during this time period, and was an RU member in an earlier round

Keyness

The term “Keyness” is related to an individual’s chance of being included in MEPS. A person is Key if that person is linked for sampling purposes to the set of NHIS sampled households designated for inclusion in MEPS. Specifically, a Key person was a member of an NHIS household at the time of the NHIS interview or became a member of such a household after being out-of-scope at the time of the NHIS (examples of the latter situation include newborns and persons returning from military service, an institution, or living outside the United States).

A non-Key person is one whose chance of selection for the NHIS (and MEPS) was associated with a household eligible but not sampled for the NHIS and who later became a member of a MEPS Reporting Unit. MEPS data (e.g., utilization and income) were collected for the period of time a non-Key person was part of the sampled unit to provide information for family-level analyses. However, non-Key persons who leave a sample household unaccompanied by a Key, inscope member were not followed for subsequent interviews. Non-Key individuals do not receive sample person-level weights and thus do not contribute to person-level national estimates.

The variable KEYNESS indicates a person’s Keyness status. This variable is not round specific. Instead, it is set at the time the person enters MEPS, and the person’s Keyness status never changes. Once a person is determined to be Key, that person will always be Key.

It should be pointed out that a person might be Key even though not part of the civilian, noninstitutionalized portion of the U.S. population. For example, a person in the military may have been living with his or her civilian spouse and children in a household sampled for NHIS. The person in the military would be considered a Key person for MEPS; however, such a person would not be eligible to receive a person-level sample weight if he or she was never inscope during 2005.

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Eligibility

The eligibility of a person for MEPS pertains to whether or not data were to be collected for that person. All of the Key inscope persons of a sampled RU were eligible for data collection. The only non-Key persons eligible for data collection were those who happened to be living in an RU with at least one Key, inscope person. Their eligibility continued only for the time that they were living with at least one such person. The only out-of-scope persons eligible for data collection were those who were living with Key inscope persons, again only for the time they were living with such a person. Only military persons can meet this description (for example, a person on full-time active duty military, living with a spouse who is Key).

A person may be classified as eligible for an entire round or for some part of a round. For persons who are eligible for only part of a round (for example, persons may have been institutionalized during a round), data were collected for the period of time for which that person was classified as eligible. The round-specific variables ELGRND31, ELGRND42, ELGRND53 and the end-of-year status variable ELGRND05 indicate a person’s eligibility status for Rounds 3/1, 4/2 and 5/3 and as of December 31, 2005.

Person Disposition Status

The round-specific variables PSTATS31, PSTATS42, and PSTATS53 indicate a person’s response and eligibility status for each round of interviewing. The PSTATSxy variables indicate the reasons for either continuing or terminating data collection for each person in the MEPS. Using this variable, one could identify persons who moved during the reference period, died, were born, institutionalized or who were in the military. Analysts should note that PSTATS53 provides a summary for all of Round 5/3, including transitions that occurred after 2005.

The following codes specify the value labels for the PSTATSxy variables.

Value	Definition
-1	The person was not fielded during the round or the RU was non‑response
0	Incorrectly listed in RU at NHIS ‑ applies to MEPS Round 1 only
11	Person in original RU , not full-time active military duty
12	Person in original RU, full-time active military duty, out‑of‑scope for whole reference period
13	Full-time student living away from home, but associated with sampled RU
14	The person is full-time active military duty during round, is inscope for part of the reference period and is in the RU at the end of the reference period
21	The person remains in a health care institution for the whole round ‑ Rounds 4/2 and 5/3 only
22	The person leaves an institution (health care or non-health care) and rejoins the community ‑ Rounds 4/2 and 5/3 only
24	The person dies in a health care institution during the round (former RU member) ‑ Rounds 4/2 and 5/3 only
31	Person from original RU, dies during reference period
32	Went to health care institution during reference period
33	Went to non‑healthcare institution during reference period
34	Moved from original RU, outside U.S. (not as student)
35	Moved from original RU, to a military facility while on full-time active military duty
36	Went to institution (type unknown) during reference period
41	Moved from the original RU, to new RU within U.S. (new RUs include RUs originally classified as “Student RU” but which converted to “New RU”)
42	The person joins RU and is not full-time military during round
43	The person's disposition as to why the person is not in the RU is unknown or the person moves and it is unknown whether the person moved inside or outside the U.S.
44	The person leaves an RU and joins an existing RU and is not both in the military and coded as inscope during the round
51	Newborn in reference period
61	Died prior to reference period (not eligible)‑Round 3/1 only
62	Institutionalized prior to reference period (not eligible)‑Round 3/1 only
63	Moved outside U.S., prior to reference period (not eligible)‑Round 3/1 only
64	Full-time military, living on a military facility, moved prior to reference period (not eligible)‑Round 3/1 only
71	Student under 24 living away at school in grades 1‑12 (Non‑Key)
72	Person is dropped from the RU roster as ineligible: the person is a non-Key student living away or the person is not related to reference person or the RU is the person's residence only during the school year
73	Not Key and not full‑time military, moved without someone Key and inscope (not eligible)
74	Moved as full‑time military but not to a military facility and without someone Key and inscope (not eligible this round)
81	Person moved from original RU, full-time student living away from home, did not respond

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2.6.2 Navigating the MEPS Data with Information on Person Disposition Status

Since the variables PSTATS31, PSTATS42, and PSTATS53 indicate the reasons for either continuing or terminating data collection for each person in MEPS, these variables can be used to explain the beginning and ending dates for each individual’s reference period of data collection, as well as which sections in the instrument each individual did not receive. By using the information included in the following table, analysts will be able to determine for each individual which sections of the MEPS questionnaire collected data elements for that person.

Some individuals have a reference period that spans an entire round, while other individuals may have data collected only for a portion of the round. When an individual’s reference period does not coincide with the RU reference period, the individual’s start date may be a later date, or the end date may be an earlier date, or both. In addition, some individuals have reference period information coded as “Inapplicable” (e.g., for individuals who were not actually in the household). The information in this table indicates the beginning and ending dates of reference periods for persons with various values of PSTATS31, PSTATS42, and PSTATS53. The actual dates for each individual can be found in the following variables included on this file: BEGRFM31, BEGRFM42, BEGRFM53, BEGRFD31, BEGRFD42, BEGRFD53, BEGRFY31, BEGRFY42, BEGRFY53, ENDRFM31, ENDRFM42, ENDRFM53, ENDRFD31, ENDRFD42, ENDRFD53, ENDRFY31, ENDRFY42, ENDRFY53, ENDRFM05, ENDRFD05, and ENDRFY05.

The table below also describes the section or sections of the questionnaire that were NOT asked for each value of PSTATS31, PSTATS42, and PSTATS53. For example, the condition enumeration (CE) and preventive care (AP) sections have questions that are not asked for deceased persons. The closing section (CL) also contains some questions or question rosters (see CL06A, CL35 through CL37, CL48 through CL50, CL54, CL58, and CL64) that exclude certain persons depending on whether the person died, became institutionalized, or otherwise left the RU; however, no one is considered to have skipped the entire section. Some questions or sections (e.g., health status (HE), employment (RJ, EM, EW)) are skipped if individuals are not within a certain age range. Since the PSTATS variables do not address skip patterns based on age, analysts will need to use the appropriate age variables.

The paper-and-pencil Self-Administered Questionnaire (SAQ) was designed to collect information based on two age categories during Panel 10 Round 2 and Panel 9 Round 4. A person was considered eligible to receive an SAQ if that person did not have a status of deceased or institutionalized, did not move out of the U. S. or to a military facility, was not a non-response at the time of the Round 2 or Round 4 interview date, and was 18 years of age or older. No RU members added in Round 3 or Round 5 were asked to complete an SAQ questionnaire. Because PSTATS variables do not address skip patterns based on age, this questionnaire was not included in the table below. Once again, analysts will need to use the appropriate age variable which in this case would be AGE42X. The documentation for this questionnaire appears in the SAQ section of this document under “Health Status Variables.”

Please note that the end reference date shown below for PSTATS53 reflects the Round 5/3 reference period rather than the portion of Round 5/3 that occurred during 2005.

PSTATS Value

PSTATS
Description

Sections in the instrument which persons with this PSTATS value do NOT receive

Begin Reference Date

End
Reference Date

-1

The person was not fielded during the round or the RU was non-response

ALL sections

Inapplicable

Incorrectly listed in RU at NHIS - Round 1 only

ALL sections after RE

Inapplicable

Person in original household, not FT active military duty (Person is in the same RU as the previous round)

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Interview date

Person in original household, FT active military duty, out-of-scope for whole reference period.

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Interview date

FT student living away from home, but associated with sampled household

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Interview date

The person is FT active military duty during round and is inscope for part of the reference period and is in the RU at the end of the reference period

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

PSTATS31: Interview date
PSTATS42 and PSTATS53: If the person is living w/ someone Key and inscope, then the interview date. If not living w/ someone who is Key and inscope, then the date the person joined the military

The person remains in a health care institution for the whole round - Rounds 4/2 and 5/3 only

All sections after RE

Inapplicable

The person leaves a health care institution and rejoins the community - Rounds 4/2 and 5/3 only

Date rejoined the community

Interview date

The person leaves a health care institution, goes into community and then dies - Rounds 4/2 and 5/3 only

Part of CE - Condition enumeration: Skip CE1 to-CE5
HE - Health status
AC - Access to care
Part of AP - Preventive care: Skip AP12 to AP22

Date rejoined the community

Date of Death

The person dies in a health care institution during the round (former household member) - Rounds 4/2 and 5/3 only

All sections after RE

Inapplicable

Person from original household, dies during reference period

Part of CE - Condition enumeration: Skip CE1 to CE5
HE - Health status
AC - Access to care
Part of AP - Preventive care: Skip AP12 to AP22

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Date of Death

Went to healthcare institution during reference period

Access to care (AC)

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Date institutionalized

Went to non-healthcare institution during reference period

Access to care (AC)

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Date institutionalized

Moved from original household, outside US

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Date left the RU

Moved from original household, to a military facility while on FT active military duty

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Date left the RU

Went to institution (type unknown) during reference period

Access to care (AC)

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Date institutionalized

Moved from the original household, to new household within US (new households include RUs originally classified as a student RU but which converted to a new RU; these are individuals in an RU that has split from an RU since the previous round)

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Interview date

The person joins household and is not full-time military during round

The later date of January 1, 2005 and the date the person joined the RU

Interview date

The person’s disposition as to why the person is not in the RU is unknown or the person moves and it is unknown whether the person moved inside or outside the U.S.

All sections after RE

Inapplicable

The person leaves an RU and joins an existing RU and is not both in the military and coded as inscope during the round

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date of the RU the person has joined. This may not be the interview date of the RU that the person came from

Interview date

Newborn in reference period

Questions where age must be > 1
Health status (HE),
Disability days (DD)
Employment (RJ/EM/EW) will be skipped)

PSTATS31: January 1, 2005 if born prior to 2005. The date of birth if born in 2005.
PSTATS42 and PSTATS53: The later of the Prior round interview date and date of birth

Interview date

Died prior to reference period (not eligible)--Round 3/1 only

All sections after RE

Inapplicable

Institutionalized prior to reference period (not eligible)--Round 3/1 only

All sections after RE

Inapplicable

Moved outside U.S., prior to reference period (not eligible)--Round 3/1 only

All sections after RE

Inapplicable

FT military, moved prior to reference period (not eligible)--Round 3/1 only

All sections after RE

Inapplicable

Student under 24 living away at school in grades 1 through 12 (Non-Key)

PSTATS31: January 1, 2005
PSTATS42 and PSTATS53: Prior round interview date

Interview date

Person is dropped from the RU roster as ineligible: the person is a Non-Key student living away or the person is not related to reference person or the RU is the person’s residence only during the school year

All sections after RE

Inapplicable

Not Key and not full-time military, moved w/o someone Key and inscope (not eligible)

All sections after RE

Inapplicable

Moved as full-time military but not to a military facility and w/o someone Key and inscope (not eligible)

All sections after RE

Inapplicable

Person moved from original household, FT student living away from home, did not respond

No data were collected

Inapplicable

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2.6.3 Demographic Variables (AGE31X-DADIP53X)

General Information

Demographic variables provide information about the demographic characteristics of each person from the MEPS-HC. The characteristics include age, sex, race, ethnicity, educational attainment, marital status, and military service. As noted below, some variables have edited and imputed values. Most demographic variables on this file were asked during every round of the MEPS interview. These variables describe data for Rounds 3, 4, and 5 of Panel 9 (the panel that started in 2004); Rounds 1, 2 and 3 of Panel 10 (the panel that started in 2005); and status as of December 31, 2005. Demographic variables that are round specific are identified by names including numbers “xy”, where x and y refer to Round numbers of Panels 9 and 10 respectively. Thus, for example, AGE31X represents the age data relevant to Round 3 of Panel 9 or Round 1 of Panel 10. As mentioned in Section 2.6.1 “Survey Administration” Variables, the variable PANEL indicates the panel from which the data were derived. A value of 9 indicates Panel 9 data and a value of 10 indicates Panel 10 data. The remaining demographic variables on this file are not round specific.

The variables describing demographic status of the person as of December 31, 2005 were developed in two ways. First, the age variable (AGE05X) represents the exact age as of 12/31/05, calculated from date of birth and indicates age status as of 12/31/05. For the remaining December 31st variables [i.e., related to marital status (MARRY05X, SPOUID05, SPOUIN05), student status (FTSTU05X), and the relationship to reference persons (RFREL05X)], the following algorithm was used: data were taken from Round 5/3 counterpart if non-missing; else, if missing, data were taken from the Round 4/2 counterpart; else from the Round 3/1 counterpart. If no valid data were available during any of these rounds of data collection, the algorithm assigned the missing value (other than -1 “Inapplicable”) from the first round that the person was part of the study. When all three rounds were set to –1, a value of –9 “Not Ascertained” was assigned.

Age

Date of birth and age for each RU member were asked or verified during each MEPS interview (DOBMM, DOBYY, AGE31X, AGE42X, AGE53X). If date of birth was available, age was calculated based on the difference between date of birth and date of interview. Inconsistencies between the calculated age and the age reported during the CAPI interview were reviewed and resolved. For purposes of confidentiality, the variables AGE31X, AGE42X, AGE53X and AGE05X were top coded at 85 years.

When date of birth was not provided but age was provided (either from the MEPS interviews or the 2003-2004 NHIS data), the month and year of birth were assigned randomly from among the possible valid options. For any cases still not accounted for, age was imputed using:

the mean age difference between MEPS participants with certain family relationships (where available) or
the mean age value for MEPS participants.

For example, a mother’s age is imputed as her child’s age plus 26, where 26 is the mean age difference between MEPS mothers and their children. A wife’s age is imputed as the husband’s age minus 3, where 3 is the mean age difference between MEPS wives and husbands.

Age was imputed in this way for 13 persons on this file. Age was determined for 10 additional persons from data in a later round.

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Sex

Data on the gender of each RU member (SEX) were initially determined from the 2003 NHIS for Panel 9 and from the 2004 NHIS for Panel 10. The SEX variable was verified and, if necessary, corrected during each MEPS interview. The data for new RU members (persons who were not members of the RU at the time of the NHIS interviews) were also obtained during each MEPS Round. When gender of the RU member was not available from the NHIS interviews and was not ascertained during one of the subsequent MEPS interviews, it was assigned in the following way. The person’s first name was used to assign gender if obvious (no cases were resolved in this way). If the person’s first name provided no indication of gender, then family relationships were reviewed (no cases were resolved this way). If neither of these approaches made it possible to determine the individual’s gender, gender was randomly assigned (no cases were resolved this way).

Race and Ethnicity Group

The race and the ethnic background questions were asked for each RU member during the MEPS interview. If the information was not obtained in Round 1, the questions were asked in subsequent rounds. It should be noted that race/ethnicity questions in the MEPS were revised starting in 2002. Race/ethnicity data from earlier years are not directly comparable. The following table shows the differences:

MEPS Race and Ethnicity Variables, by Years.

FY PUFS 1996 – 2001	FY PUFS 2002 – current
RACEX	RACEX
1 American Indian	1 White – No other race reported
2 Aleut, Eskimo	2 Black – No other race reported
3 Asian or Pacific Islander	3 American Indian / Alaska Native – No other race reported
4 Black	4 Asian – No other race reported
5 White	5 Native Hawaiian / Pacific Islander – No other race reported
91 Other	6 Multiple race reported
HISPANX	HISPANX
1 Hispanic	1 Hispanic
2 Not Hispanic	2 Not Hispanic
RACETHNX	RACETHNX
1 Person is Hispanic	1 Person is Hispanic
2 Person is Black / Not Hispanic	2 Person is Black – No other race reported / Not Hispanic
3 Other / Not Hispanic	3 Person is Asian – No other race reported / Not Hispanic
	4 Other race / Not Hispanic
HISPCAT	HISPCAT
-9 Not Ascertained	-9 Not Ascertained
-7 Refused	-8 DK
1 Puerto Rican	-7 Refused
2 Cuban	1 Puerto Rican
3 Mexican / Mexican American / Mexicano /Chicano	2 Cuban / Cuban American
4 Other Latin American / Other Spanish	3 Dominican
5 Non-Hispanic	4 Mexican / Mexican American
	5 Central or South American
	6 Non-Hispanic
	91 Other Latin American
	92 Other Hispanic / Latino
	RACEAX
	1 Asian – No other race reported
	2 Asian - Other race(s) reported
	3 All other race assignments
	RACEBX
	1 Black – No other race reported
	2 Black - Other race(s) reported
	3 All other race assignments
	RACEWX
	1 White – No other race reported
	2 White - Other race(s) reported
	3 All other race assignments

Values for these variables were obtained based on the following priority order. If available, data collected were used to determine race and ethnicity. If race and/or ethnicity were not reported in the interview, then data obtained from the originally collected NHIS data were used. If still not ascertained, the race, and/or ethnicity were assigned based on relationship to other members of the DU using a priority ordering that gave precedence to blood relatives in the immediate family (this approach was used on 12 persons to set race and 15 persons to set ethnicity).

Starting in 2002, individuals were allowed to choose more than one race and, as a result, three new variables were constructed: RACEBX, RACEAX, and RACEWX. RACEBX identifies individuals as being: 1) Black--- no other race reported, 2) Black--- other race(s) reported, or 3) not black. RACEAX and RACEWX are constructed similarly but apply to Asians and Whites. All race and ethnicity variables reflect the imputations done for RACEX and HISPANX. RACETHNX summarizes both race and ethnicity information in a single variable.

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Marital Status and Spouse ID

Current marital status was collected and/or updated during every round of the MEPS interview. This information was obtained in RE13 and RE97 and is reported as MARRY31X, MARRY42X, MARRY53X and MARRY05X. Persons under the age of 16 were coded as 6 “Under 16 – Inapplicable”. If marital status of a specified round differed from that of the previous round, then the marital status of the specified round was edited to reflect a change during the Round (e.g., married in round, divorced in round, separated in round, or widowed in round).

In instances where there were discrepancies between the marital status of two individuals within a family, other person-level variables were reviewed to determine the edited marital status for each individual. Thus, when one spouse was reported as married and the other spouse reported as widowed, the data were reviewed to determine if one partner should be coded as 8 “Widowed in Round”.

Edits were performed to ensure some consistency across rounds. First, a person could not be coded as “Never Married” after previously being coded as any other marital status (e.g., “Widowed”). Second, a person could not be coded as “Under 16 – Inapplicable” after being previously coded as any other marital status. Third, a person could not be coded as “Married in Round” after being coded as “Married” in the round immediately preceding. Fourth, a person could not be coded as an “in Round” code (e.g., “Widowed in Round”) in two subsequent rounds. Since marital status can change across rounds and it was not feasible to edit every combination of values across rounds, unlikely sequences for marital status across the round-specific variables do exist.

The person identifier for each individual’s spouse is reported in SPOUID31, SPOUID42, SPOUID53, and SPOUID05. These are the PIDs (within each family) of the person identified as the spouse during Round 3/1, Round 4/2, and Round 5/3 and as of December 31, 2005, respectively. If no spouse was identified in the household, the variable was coded as 995 “No spouse in household”. Those with unknown marital status are coded as 996 “Marital Status Unknown”. Persons under the age of 16 are coded as 997 “Less than 16 Years Old”.

The SPOUIN31, SPOUIN42, SPOUIN53, and SPOUIN05 variables indicate whether a person’s spouse was present in the RU during Round 3/1, Round 4/2, Round 5/3 and as of December 31, 2005 respectively. If the person had no spouse in the household, the value was coded as 2 “Not Married/No Spouse”. For persons under the age of 16 the value was coded as 3 “Under 16 – Inapplicable”.

The SPOUID and SPOUIN variables were obtained from RE76 and RE77, where the respondent was asked to identify how each pair of persons in the household were related. Analysts should note that this information was collected in a set of questions separate from the questions that asked about marital status. While editing was performed to ensure that SPOUID and SPOUIN are consistent within each round, there was no consistency check between these variables and marital status in a given round. Apparent discrepancies between marital status and spouse information may be due to any of the following causes:

Ambiguity as to when during a round a change in marital status occurred. This is a result of relationship information being asked for all persons living in the household at any time during the round, while marital status is asked as of the interview date (e.g., If one spouse died during the reference period, the surviving spouse’s marital status would be “Widowed in Round”, but SPOUIN and SPOUID for the same round would indicate that a spouse was present).
Valid discrepancies in the case of persons who are married but not living with their spouse, or separating but still living together.
Discrepancies that cannot be explained for either of the previous reasons.

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Student Status and Educational Attainment

The variables FTSTU31X, FTSTU42X, FTSTU53X and FTSTU05X indicate whether the person was a full-time student at the interview date (or 12/31/05 for FTSTU05X). These variables have valid values for all persons between the ages of 17 - 23 inclusive. When this question was asked during Round 1 of Panel 10, it was based on age as of the 2004 NHIS interview date.

Number of years of education completed is indicated in the variable EDUCYR. Information was obtained from questions RE 103-105. Children who are 5 years of age or older and who never attended school were coded as 0; children under the age of 5 years were coded as ‑1 “Inapplicable” regardless of whether they attended school. However, among the cases coded as –1 “Inapplicable”, there is no distinction between those who were under the age of five and others who were inapplicable, such as persons who may be institutionalized for an entire round. EDUCYR is based on the first round in which the number of years of education is collected for a person. The user should note that EDUCYR is an unedited variable and minimal data cleaning was performed on this variable.

The variable HIDEG, indicating highest degree of education, was obtained from three questions: highest grade completed (RE103), high school diploma (RE104), and highest degree (RE105). Persons under 16 years of age were coded as 8 “Under 16 – Inapplicable”. In cases where the response to the highest degree question was “No degree” and the response to the highest grade question was 13 through 17 “1 or More Years of College”, the variable HIDEG was coded as 3 “High School Diploma”. If highest grade completed was “Refused“ or “Don’t Know” for those with a “No Degree” response for the highest degree question, the variable HIDEG was coded as 1 “No Degree”. HIDEG is based on the first round in which the highest degree was collected for a person. The user should note that HIDEG is an unedited variable and minimal data cleaning was performed on this variable.

Military Service and Service Era

Information on active duty military status was collected during each round of the MEPS interview. Persons currently on full-time active duty status are identified in the variables ACTDTY42, and ACTDTY53. Those under 16 years of age were coded as 3 “Under 16 – Inapplicable”, and those over the age of 59 were coded as 4 “Over 59 – Inapplicable”.

It should be noted that information on active duty military status in the MEPS HC was revised significantly for the 2005 data collection. Due to the design changes introduced in 2005, the variable ACTDTY31 was removed from this delivery.

It should also be noted that the variables DIDSERVE, VETWW, VETVIET, VETKOR, VETGULF and VETOTH are no longer being provided due to the design changes mentioned above.

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Relationship to the Reference Person within Reporting Units

For each Reporting Unit (RU), the person who owns or rents the DU is usually defined as the reference person. For student RUs, the student is defined as the reference person. (For additional information on reference persons, see the documentation on survey administration variables.) The variables RFREL31X, RFREL42X, RFREL53X, and RFREL05X indicate the relationship of each individual to the reference person of the Reporting Unit (RU) in a given round. For the reference person, this variable has the value “Self”; for all other persons in the RU, relationship to the reference person is indicated by codes representing “Husband/Spouse”, “Wife/Spouse”, “Son”, “Daughter”, “Female Partner”, “Male Partner”, etc. A code of 91, meaning “Other Related, Specify”, was used to indicate rarely observed relationship descriptions such as “Mother of Partner”. If the relationship of an individual to the reference person was not ascertained during the round-specific interview, relationships between other RU members were used, where possible, to assign a relationship to the reference person. If MEPS data from calendar year 2005 were not sufficient to identify the relationship of an individual to the reference person, relationship variables from the 2004 MEPS or NHIS data were used to assign a relationship. In the event that a meaningful value could not be determined or data were missing, the relationship variable was assigned a missing value code.

For 201 cases, where two individuals’ relationship indicated they were spouses, but both had marital status indicating they were not married, their relationship was changed to non-marital partners. In addition, the relationship variables were edited to insure that they did not change across rounds for RUs in which the reference person did not change, with the exception of relationships identified as partner, spouse, or foster relationships.

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Parent Identifiers

The variables MOPID31X, MOPID42X, MOPID53X and DAPID31X, DAPID42X DAPID53X are round specific and are used to identify the parents (biological, adopted, or step) of the person represented on that record. MOPID##X contains the person identifier (PID) for each individual’s mother if she lived in the RU in that panel/round of the survey, or a value of –1 (Inapplicable) if she did not. Similarly, DAPID##X contains the person identifier (PID) for each individual’s father if he lived in the RU in that panel/round of the survey, or a value of –1 (Inapplicable) if he did not. MOPID##X and DAPID##X were constructed based on information collected in the relationship grid of the instrument each round at questions RE76 and RE77 and include biological, adopted, and step parents. Foster parents were not included. For persons who were not present in the household during a round, MOPID##X and DAPID##X have values of –1 (Inapplicable).

Edits were performed to ensure that MOPID##X and DAPID##X were consistent with each individual’s age, sex, and other relationships within the family. For instance, the gender of the parent must be consistent with the indicated relationship; mothers are at least 12 years older than the person and no more than 55 years older than the person; fathers are at least 12 years older than the person; each person has no more than one mother and no more than one father; any values set for MOPID##X and DAPID##X were removed from any person identified as a foster child; and the PID for the person’s mother and father are valid PIDs for that person’s RU for the 2005 Full Year File.

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2.6.4 Income and Tax Filing Variables (SSIDIS05 – OTHIMP05)

The file provides income and tax-related variables that were constructed primarily from data collected in the Panel 9 Round 5 and Panel 10 Round 3 Income Sections. Person-level income amounts have been edited and imputed for every record on the full-year file, with detailed imputation flags provided as a guide to the method of editing. The tax-filing variables and some program participation variables are unedited, as discussed below.

During imputation, logical editing and weighted, sequential hot-decks were used to estimate income amounts for missing values (both for item nonresponse and for persons in the full-year file who were not in the income rounds). Reported income components were generally left unedited (with the few exceptions noted below). Thus, analysts using these data may wish to apply additional checks for outlier values that would appear to stem from misreporting.

The editing process began with wage and salary income, WAGEP05X. Complete responses were left unedited, and this group of people was assigned WAGIMP05=1, where WAGIMP05 is the imputation flag for wage and salary data. The only exception was for a small number of persons who reported zero wage and salary income despite having been employed for pay during the year according to round level data (see below). Since data on tax filing and on taxable income sources were collected using an approach that encouraged respondents to provide information from their federal tax returns, logical edits were used to assign separate income amounts to married persons whose responses were based on combined income amounts on their joint tax returns.

Persons assigned WAGIMP05=2 were those providing broad income ranges rather than giving specific dollar amounts. Weighted sequential hot-decking was used to provide these individuals with specific dollar amounts. For this imputation, donors were persons who reported specific dollar amounts within the corresponding broad income ranges. All WAGEP05X hot-deck imputations used cells defined on the basis of a conventional list of person-level characteristics including age, education, employment status, race, sex, and region.

Persons assigned WAGIMP05=3 were those who did not report wage and salary income and who were assigned WAGEP05X=0 based on not having been employed during the year.

Persons assigned WAGIMP05=4 were those who did not provide valid dollar amounts or dollar ranges, but for whom we had information from the employment sections of the survey concerning wages, hours, and weeks worked (in all jobs). These data were used to construct annualized wage amounts to be used in place of missing annual wage and salary data. Comparisons of reported and constructed wages and salaries using persons who provided both sorts of information yielded a high degree of confidence that employment data could be reliably used to derive values to serve in place of missing wage and salary information. To implement this approach, part-year responders were assumed to be fully-employed during the remainder of the year if they were employed during the period in which they provided data. An exception was made for those who either died or were institutionalized. These persons were assigned zero wages and salaries for the time they were not in MEPS.

Hot-deck imputation was used for the remaining persons with missing WAGEP05X.
Donor pools included persons whose WAGEP05X amounts were edited in the steps described above. Whenever possible, the hot-deck imputations used data on whether or not the person had been employed at any point during the year (and, if available, the number of weeks worked). Imputations for persons deemed to have been employed were conditional in nature, using only donors with positive WAGEP05X amounts (WAGIMP05=5). Imputations for WAGEP05X for the remaining persons were unconditional, using both workers and non-workers as donors (WAGIMP05=6).

After editing WAGEP05X for all persons in the full-year file, the remaining income sources were edited in the following sequence: INTRP05X, BUSNP05X, DIVDP05X, REFDP05X, ALIMP05X, SALEP05X, TRSTP05X, PENSP05X, IRASP05X, SSECP05X, UNEMP05X, WCMPP05X, VETSP05X, CASHP05X, OTHRP05X, CHLDP05X, SSIP05X, and PUBP05X. Income components were edited sequentially, in each case using information regarding income amounts that had already been edited (so as to maintain patterns of correlation across income sources whenever possible). In all cases, bracketed responses were edited first (using hot-deck imputations from donors in corresponding brackets who gave specific dollar amounts), followed by imputations for remaining missing values. The hot-deck imputations used cells defined on the basis of income amounts already edited and a conventional list of person-level characteristics such as age, education, employment status, race, sex, and region. In addition, hot-deck imputations for CHLDP05X used family-level information concerning marital status and the number of children. Hot-deck imputations for SSIP05X and PUBP05X were also assigned using, in part, simulated program eligibility indicators that integrated state-level program eligibility criteria with data on family composition and income.

In the hotdecks for some income types, information from the National Health Interview Survey (NHIS) was used. The NHIS sample is the frame for the new sample selected for MEPS collection each year, with a year’s time lag. Data from the 2003 NHIS correspond to MEPS Panel 9, while those from the 2004 NHIS correspond to MEPS Panel 10. Because MEPS units come from the NHIS, it is possible to match individual MEPS responding units to an NHIS unit.

Taking advantage of this matching ability, income recipiency indicators collected by NHIS were used in imputing for missing data in certain MEPS income components − interest, dividends, business income, pensions, and Social Security. (Not all MEPS income categories have an equivalent in NHIS. Also, wage data were available from NHIS, but were not used in the MEPS imputation process.)

In cases where data on a particular income category were missing for a person in MEPS, the indicator in that income category on the NHIS file was employed, if a valid response was supplied. Indicators were examined for the entire tax-filing unit (two people in the case of married couples filing jointly; one person in all other cases).

Reported income amounts of less than one dollar were treated as missing amounts (to be hot-decked from donors with positive amounts of the corresponding income source). Also, a very few cases of outlier responses were edited (primarily public sources of income that exceeded possible amounts). Otherwise, reported amounts were left unchanged.

For each income component, the corresponding xxxxIMP05 variable contains an indicator concerning the method for editing/imputation. All the flag variables have the following formatted values:

1 = Original response used;
2 = Bracket converted;
3 = Missing value set to 0;
4 = Weeks worked/earnings used (WAGIMP05 only);
5 = Conditional hot-deck;
6 = Unconditional hot-deck;

Missing values were set to zero when there were too few recipients to warrant hot-deck imputations of positive values (as in the case of ALIMP05X received by males). “Conditional hot-decks” indicate instances where the respondent indicated receipt but not a specific dollar amount. In these cases, the donor pool was restricted to persons with nonzero amounts of the income source in question. “Unconditional hot-decks” indicate instances where the donor pool included persons receiving both zero and nonzero amounts (implemented in cases where there was little or no information about a person’s income source).

Total person-level income (TTLP05X) is the sum of all income components with the exception of REFDP05X and SALEP05X (to match as closely as possible the CPS definition of income; see Section 2.6.4.2). Some researchers may wish to define their own income measure by adding in one or both of these excluded components.

The tax variables, food stamp variables, SSI disability flag, and welfare participation flag are all completely unedited. The variable on previous years’ files that indicated the monthly amount paid by a family for food stamps (FOODCT04 in the 2004 file) is no longer available due to the source question for the variable being deleted from the collection instrument. Note that while the welfare participation flag is named AFDC05, in fact this variable reflects participation in Temporary Assistance for Needy Families (TANF), with respondents having been prompted with “TANF”, “AFDC”, and “welfare.” Unedited tax variables are provided to assist researchers building tax simulation programs. No efforts have been made to eliminate inconsistencies among these program participation and tax variables and other MEPS data. All of these unedited variables should be used with great care.

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2.6.4.1 Income Top-Coding

All income amounts on the file, including both total income and the separate sources of income, were top coded to preserve confidentiality. For each income source, top codes were applied to the top percentile of all cases (including negative amounts that exceeded income thresholds in absolute value). In cases where less than one percent of all persons received a particular income source, all recipients were top-coded.

Top-coded income amounts were masked using a regression-based approach. The regressions relied on many of the same variables used in the hot-deck imputations, with the dependent variable in each case being the natural logarithm of the amount that the income component was in excess of its top-code threshold. Predicted values from this regression were reconverted from logarithms to levels using a smearing correction, and these predicted amounts were then added back to the top-code thresholds. This approach preserves the component-by-component weighted means (both overall and among top-coded cases), while also preserving much of the income distribution conditional on the variables contained in the regressions. At the same time, this approach ensures that every reported amount in excess of its respective threshold is altered on the public use file. The process of top-coding income amounts in this way inevitably introduces measurement error in cases where income amounts were reported correctly by respondents. Note, however, that top-coding can also help to reduce the impact of outliers that occur due to reporting errors.

Total income is constructed as the sum of the adjusted income components. Having constructed total income in this manner, this total was then top-coded using the same regression-based procedure described above (again masking the top percentile of cases). Finally, the components of income were scaled up or down in order to make the sources of income consistent with the newly-adjusted totals.

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2.6.4.2 Poverty Status

The file includes a categorical variable for 2005 family income as a percentage of poverty (POVCAT05). The definitions of income, family, and poverty categories used were taken from the 2005 poverty statistics developed by the Current Population Survey (CPS).

Family income was derived by constructing person-level total income comprising annual earnings from wages, salaries, bonuses, tips, commissions; business and farm gains and losses; unemployment and workers’ compensation; interest and dividends; alimony, child support, and other private cash transfers; private pensions, IRA withdrawals, social security, and veterans payments; supplemental security income and cash welfare payments from public assistance, Temporary Assistance for Needy Families, and related programs; gains or losses from estates, trusts, partnerships, S corporations, rent, and royalties; and a small amount of “other” income. Family income excluded tax refunds and capital gains. Person-level income totals were then summed over family members as defined by CPSFAMID to yield the family-level total.

POVCAT05 was constructed by dividing family income by the applicable poverty line (based on family size and composition), with the resulting percentages grouped into 5 categories; negative or poor (less than 100%), near poor (100% to less than 125%), low income (125% to less than 200%), middle income (200% to less than 400%), and high income (greater than or equal to 400%). Persons missing CPSFAMID were treated as one-person families in constructing POVCAT05. Family income, as well as the components of person level income, has been subjected to internal editing patterns and derivation methods that are in accordance to specific definitions, and are not being released at this time. Researchers working with a family definition other than CPSFAMID may wish to create their own versions of total family income (and perhaps POVCAT05).

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2.6.5 Health Status Variables (RTHLTH31-DSPRX53)

Due to the overlapping panel design of the MEPS (Round 3 for Panel 9 overlapped with Round 1 for Panel 10, Round 4 for Panel 9 coincided with Round 2 for Panel 10, and Round 5 for Panel 9 occurred at the same time as Round 3 for Panel 10), data from overlapping rounds have been combined across panels. Thus, any variable ending in “31” reflects data obtained in Round 3 of Panel 9 and Round 1 of Panel 10. Analogous comments apply to variables ending in “42” and “53”. Health Status variables whose names end in “05” indicate a full-year measurement.

This data release incorporates information from calendar year 2005. However, health status data obtained in Round 3 of both Panel 9 and Panel 10 are included in variables that have names ending in "31" and "53" respectively. For persons in Panel 9, Round 3 extended from 2004 into 2005. Therefore, for these people, some information from late 2004 is included for variables that have names ending in "31". For persons in Panel 10, Round 3 extended from 2005 into 2006. Therefore, for these people, some information from early 2006 is included for variables that have names ending in "53". Note that for most Panel 9 persons, the Round 5 reference period ends on December 31, 2005; however, the Round 5 interview actually occurs in 2006. Round 5 respondents receive an instruction at the start of the Health Status (HE) section of CAPI to limit information about health status and limitations to the period ending on December 31, 2005. Nevertheless, if respondents forget or ignore this reference period instruction, some information collected in this section in Round 5 (variables ending in "53") might reflect circumstances in early 2006. Further, health status questions asked in the Condition Enumeration (CE), Preventive Care (AP), and Priority Conditions (PC) sections of CAPI in Round 5 do not contain a similar explicit instruction that the reference period ends on December 31, 2005, although this is stated at the start of the overall interview. Hence, in these sections, respondents may also be providing health status information that pertains to 2006.

Health Status variables in this data release can be classified into several conceptually distinct sets:

Perceived health status and ADL (Activities of Daily Living) and IADL (Instrumental Activities of Daily Living) limitations
Functional limitations and activity limitations
Vision problems
Hearing problems
Any limitations
Child health and preventive care
Preventive care
Priority conditions
Self-administered questionnaire
Diabetes care survey

Perceived health status and ADL and IADL limitations were measured in all rounds. Functional and activity limitations were measured in Rounds 3 and 5 for Panel 9 and Rounds 1 and 3 for Panel 10. Vision, hearing, and children’s health status were measured in Round 4 for Panel 9 and Round 2 for Panel 10. Preventive care and priority conditions were measured in Round 5 of Panel 9 and Round 3 of Panel 10. The self-administered questionnaire was distributed in Round 4 of Panel 9 and Round 2 of Panel 10. The diabetes care supplement was distributed in Round 5 of Panel 9 and Round 3 of Panel 10.

In general, Health Status variables involved the construction of person-level variables based on information collected in the Condition Enumeration and Health Status sections of the questionnaire. Many Health Status questions were initially asked at the family-level to ascertain if anyone in the household had a particular problem or limitation. These were followed up with questions to determine which household member had each problem or limitation. All information ascertained at the family-level has been brought to the person-level for this file. Logical edits were performed in constructing the person-level variables to assure that family-level and person-level values were consistent. Particular attention was given to cases where missing values were reported at the family-level to ensure that appropriate information was carried to the person-level.

Inapplicable cases occurred when a question was never asked because of a skip pattern in the survey (e.g., individuals who were 13 years of age or older were not asked some follow-up verification questions; individuals older than 17 were not asked questions pertaining to children’s health status). Inapplicable cases are coded as -1. In addition, deceased persons were coded as “Inapplicable” (-1).

Each of the sets of variables listed above will be described in turn.

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2.6.5.1 Perceived Health Status and IADL and ADL Limitations

Perceived Health Status

Perceived health status (RTHLTH31, RTHLTH42, and RTHLTH53) and perceived mental health status (MNHLTH31, MNHLTH42, and MNHLTH53) were collected in the Condition Enumeration section. These questions (CE01 and CE02) asked the respondent to rate each person in the family according to the following categories: excellent, very good, good, fair, and poor.

IADL Help

The Instrumental Activities of Daily Living (IADL) Help or Supervision variables (IADLHP31, IADLHP42, and IADLHP53) were each constructed from a series of three questions administered in the Health Status section of the interview. The initial question (HE01) determined if anyone in the family received help or supervision with IADLs such as using the telephone, paying bills, taking medications, preparing light meals, doing laundry, or going shopping. If the response was “Yes”, a follow-up question (HE02) was asked to determine which household member(s) received this help or supervision. For persons under age 13, a final verification question (HE03) was asked to confirm that the IADL help or supervision was the result of an impairment or physical or mental health problem. If the response to the final verification question was “No”, IADLHP31, IADLHP42, and IADLHP53 were coded “No” for persons under the age of 13.

If no one in the family was identified as receiving help or supervision with IADLs, all members of the family were coded as receiving no IADL help or supervision. In cases where the response to the family-level question was “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9), all persons were coded according to the family-level response. In cases where the response to the family-level question (HE01) was “Yes” but no specific individuals were identified in the follow-up question as having IADL difficulties, all persons were coded as “Don’t Know” (-8).

The Duration of IADL Condition variables (IADL3M31, IADL3M42 and IADL3M53) were constructed from a follow-up question (HE03A) in the Health Status section of the interview. For each person who received IADL help or supervision due to an impairment or physical or mental health problem (IADLHP## is coded “Yes”), HE03A was asked to determine whether the person was expected to need help or supervision with these activities for at least three more months. For persons coded “No” (2), “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9) for IADLHP##, IADL3M## was coded “Inapplicable” (-1).

ADL Help

The Activities of Daily Living (ADL) Help or Supervision variables (ADLHLP31, ADLHLP42, and ADLHLP53) were each constructed in the same manner as the IADL help variables, but using questions HE04-HE06. Coding conventions for missing data were the same as for the IADL variables.

The Duration of ADL Condition variables (ADL3MO31, ADL3MO42 and ADL3MO53) were constructed from a follow-up question (HE06A) in the Health Status section of the interview. For each person who received ADL help or supervision due to an impairment or physical or mental health problem (ADLHLP## is coded “Yes”), HE06A was asked to determine whether the person was expected to need help or supervision with these activities for at least three more months. For persons coded “No” (2), “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9) for ADLHLP##, ADL3MO## was coded “Inapplicable” (-1).

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2.6.5.2 Functional and Activity Limitations

Functional Limitations

A series of questions pertained to functional limitations, which are defined as difficulty in performing certain specific physical actions. WLKLIM31 and WLKLIM53 were the filter questions, depending on the round. These variables were derived from a question (HE09) that was asked at the family-level: “Does anyone in the family have difficulties walking, climbing stairs, grasping objects, reaching overhead, lifting, bending or stooping, or standing for long periods of time?” If the answer was “No”, then all family members were coded as “No” (2) on WLKLIM31 or WLKLIM53. If the answer was “Yes”, then the specific persons who had any of these difficulties were identified and coded as “Yes” (1), and remaining family members were coded as “No” (2). If the response to the family-level question was “Don’t Know” (-8), “Refused” (-7), “Not Ascertained” (-9), or “Inapplicable” (-1), then the corresponding missing value code was applied to each family member’s value for WLKLIM31 or WLKLIM53. If the answer to HE09 was “Yes” (1) but no specific individual was named as experiencing such difficulties, then each family member was assigned “Don’t Know” (-8). Deceased persons were assigned a -1 code (“Inapplicable”) for WLKLIM31 or WLKLIM53.

For Rounds 3 (Panel 9) and 1 (Panel 10), if WLKLIM31 was coded “Yes” (1) for any family member, a subsequent series of questions was administered. The series of questions for which WLKLIM31 served as a filter is as follows:

LFTDIF31 -	difficulty lifting 10 pounds
STPDIF31 -	difficulty walking up 10 steps
WLKDIF31 -	difficulty walking 3 blocks
MILDIF31 -	difficulty walking a mile
STNDIF31 -	difficulty standing 20 minutes
BENDIF31 -	difficulty bending or stooping
RCHDIF31 -	difficulty reaching over head
FNGRDF31 -	difficulty using fingers to grasp
WLK3MO31 -	expected to have difficulty with any of these activities for at least 3 more months

This series of questions was asked separately for each person whose response to WLKLIM31 was coded “Yes” (1). The series of questions was not asked for other individual family members whose response to WLKLIM31 was “No” (2). In addition, this series was not asked about family members who were less than 13 years of age, regardless of their status on WLKLIM31. These questions were not asked about deceased family members. In such cases (i.e., WLKLIM31 = 2, or age < 13, or PSTATS31 = 31), each question in the series was coded as “Inapplicable” (-1). Finally, if responses to WLKLIM31 were “Refused” (-7), “Don’t Know” (-8), “Not Ascertained” (-9), or otherwise “Inapplicable” (-1), then each question in this series was coded as “Inapplicable” (-1).

Analysts should note that WLKLIM31 was asked of all household members, regardless of age. For the subsequent series of questions, however, persons less than 13 years old were skipped and coded as “Inapplicable”. Therefore, it is possible for someone aged 12 or less to have a code of “Yes” (1) on WLKLIM31, and also to have codes of “Inapplicable” on the subsequent series of questions.

For Rounds 5 (Panel 9) and 3 (Panel 10), the corresponding filter question was WLKLIM53.

The series of questions for which WLKLIM53 served as a filter is as follows:

LFTDIF53 -	difficulty lifting 10 pounds
STPDIF53 -	difficulty walking up 10 steps
WLKDIF53 -	difficulty walking 3 blocks
MILDIF53 -	difficulty walking a mile
STNDIF53 -	difficulty standing 20 minutes
BENDIF53 -	difficulty bending or stooping
RCHDIF53 -	difficulty reaching over head
FNGRDF53 -	difficulty using fingers to grasp
WLK3MO53 -	expected to have difficulty with any of these activities for at least 3 more months

Editing conventions were the same for this “53” series of variables as they were for the corresponding “31” series described above.

Use of Assistive Technology and Social/Recreational Limitations

The variables indicating use of assistive technology (AIDHLP31 and AIDHLP53, from question HE07) and social/recreational limitations (SOCLIM31 and SOCLIM53, from question HE22) were collected initially at the family-level. If there was a “Yes” (1) response to the family-level question, a second question identified the specific individual(s) to whom the “Yes” response pertained. Each individual identified as having the difficulty was coded “Yes” (1) for the appropriate variable; all remaining family members were coded “No”. If the family-level response was “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9), all persons were coded with the family-level response. In cases where the family-level response was “Yes” but no specific individual was identified as having difficulty, all family members were coded as “Don’t Know” (-8).

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Work, Housework, and School Limitations

The variables indicating any limitation in work, housework, or school (ACTLIM31 and ACTLIM53) were constructed using questions HE19-HE20. Specifically, information was collected initially at the family-level. If there was a “Yes” (1) response to the family-level question (HE19), a second question (HE20) identified the specific individual(s) to whom the “Yes” (1) response pertained. Each individual identified as having a limitation was coded “Yes” (1) for the appropriate variable; all remaining family members were coded “No” (2). If the family-level response was “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9), all persons were coded with the family-level response. In cases where the family-level response was “Yes” (1) but no specific individual was identified as having difficulty, all family members were coded as “Don’t Know” (-8). Persons less than five years old were coded as “Inapplicable” (-1) on ACTLIM31 and ACTLIM53.

For Round 3 (Panel 9) or Round 1 (Panel 10), if ACTLIM31 was “Yes” (1) and the person was 5 years of age or older, a follow-up question (HE20A) was asked to identify the specific limitation or limitations for each person. These included working at a job (WRKLIM31), doing housework (HSELIM31), or going to school (SCHLIM31). Respondents could answer “Yes” (1) or “No” (2) to each activity; thus a person could report limitations in multiple activities. WRKLIM31, HSELIM31, and SCHLIM31 have values of “Yes” (1) or “No” (2) only if ACTLIM31 was “Yes” (1); each variable was coded as “Inapplicable” (-1) if ACTLIM31 was “No” (2). When ACTLIM31 was “Refused” (-7), these variables were all coded as “Refused” (-7); when ACTLIM31 was “Don’t Know” (-8), these variables were all coded as “Don’t Know” (-8); and when ACTLIM31 was “Not Ascertained” (-9), these variables were all coded as “Not Ascertained” (-9). If a person was under 5 years old or was deceased, WRKLIM31, HSELIM31, and SCHLIM31 were each coded as “Inapplicable” (-1).

An additional question (UNABLE31) was asked if the person was completely unable to work at a job, do housework, or go to school. Those respondents who were coded “No” (2), “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9) on ACTLIM31, were under 5 years of age, or were deceased were coded as “Inapplicable” (-1) on UNABLE31. UNABLE31 was asked once for whichever set of WRKLIM31, HSELIM31, and SCHLIM31 the respondent had limitations; if a respondent was limited in more than one of these three activities, UNABLE31 did not specify if the respondent was completely unable to perform all of them, or only some of them.

For Rounds 5 (Panel 9) or 3 (Panel 10) corresponding variables were ACTLIM53, WRKLIM53, HSELIM53, SCHLIM53, and UNABLE53. Editing conventions were the same as those described above.

Cognitive Limitations

The variables indicating any cognitive limitation (COGLIM31 or COGLIM53, depending on the round) were collected at the family-level as a three-part question (HE24-01 to HE24-03), asking if any of the adults in the family (1) experience confusion or memory loss, (2) have problems making decisions, or (3) require supervision for their own safety. If a “Yes” response was obtained to any item, the persons affected were identified in HE25, and COGLIM31 or COGLIM53 was coded as “Yes” (1). Remaining family members not identified were coded as “No” (2) for COGLIM31 or COGLIM53.

If responses to HE24-01 through HE24-03 were all “No”, or if two of three were “No” (2) and the remaining was “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9), all family members were coded as “No” (2). If responses to the three questions were combinations of “Don’t Know” (-8), “Refused” (-7), and missing, all persons were coded as “Don’t Know” (-8). If the response to any of the three questions was “Yes” (1) but no individual was identified in HE25, all persons were coded as “Don’t Know” (-8).

The cognitive limitations variables (COGLIM31 and COGLIM53) reflect whether any of the three component questions is “Yes” (1). Respondents with one, two, or three specific cognitive limitations cannot be distinguished. In addition, because the question asked specifically about adult family members, all persons less than 18 years of age are coded as “Inapplicable” (-1) on this question.

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2.6.5.3 Vision Problems

A series of questions (HE26 to HE32) provides information on visual impairment. These questions were asked of all household members, regardless of age. Deceased respondents were coded as “Inapplicable” (-1).

WRGLAS42 indicates whether a person wears eyeglasses or contact lenses. This variable was based on two questions, HE26 and HE27. The initial question (HE26) determined if anyone in the family wore eyeglasses or contact lenses. If the response was “Yes” (1), a follow-up question (HE27) was asked to determine which household member(s) wore eyeglasses or contact lenses. If the family-level response was “Don’t Know” (-8), “Refused” (-7), or “Not Ascertained” (-9), all persons were coded with the family-level response. In cases where the family-level response was “Yes” (1) but no specific individual was identified as wearing glasses or contact lenses, all family members were coded as “Don’t Know” (-8).

SEEDIF42 indicates whether anyone in the family had difficulty seeing (with glasses or contacts, if used). This variable was based on two questions, HE28 and HE29. The initial question (HE28) determined if anyone in the family had difficulty seeing. If the response was "Yes” (1), a follow-up question (HE29) was asked to determine which household member(s) had a visual impairment. If the family-level response was “Don’t Know” (-8), “Refused” (-7), or “Not Ascertained” (-9), all persons were coded with the family-level response. In cases where the family-level response was “Yes” (1) but no specific individual was identified as having difficulty seeing, all family members were coded as “Don’t Know” (-8).

Three subsequent questions were asked only of individuals who had difficulty seeing (i.e., SEEDIF42 was “Yes” (1)). Persons with no visual impairment were coded as “Inapplicable” (-1) for these questions, as were persons with “Don’t Know” (-8), “Refused” (-7), or “Not Ascertained” (-9) responses to SEEDIF42. The three subsequent questions are summarized in the three subsequent variables. BLIND42 determined if a person with difficulty seeing was blind. For persons who were not blind (BLIND42 was “No” (2)), READNW42 asked whether the person could see well enough to read ordinary newspaper print (with glasses or contacts, if used); persons who were blind were not asked this question and were coded “Inapplicable” (-1). For persons who could not read ordinary newspaper print (READNW42 was “No” (2)), RECPEP42 asked if the person could see well enough to recognize familiar people standing two or three feet away. Persons who were blind or who could read newsprint were not asked this question and were coded “Inapplicable” (-1).

VISION42 summarizes the pattern of responses to the set of visual impairment questions. Codes for VISION42 are as follows:

Value	Definition
-1	All component variables are “Inapplicable” (SEEDIF42 was -1 and BLIND42 was -1 and READNW42 was -1 and RECPEP42 was -1)
-9	One or more component variables was “Refused” (-7), “Don't know” (-8), or “Not ascertained” (-9)
1	No difficulty seeing (SEEDIF42 was “No” (2))
2	Some difficulty seeing, can read newsprint (SEEDIF42 was “Yes” (1) and BLIND42 was “No” (2) and READNW42 was “Yes” (1))
3	Some difficulty seeing, cannot read newsprint, can recognize familiar people (SEEDIF42 was “Yes” (1) and BLIND42 was “No” (2) and READNW42 was “No” (2) and RECPEP42 was “Yes” (1))
4	Some difficulty seeing, cannot read newsprint, cannot recognize familiar people but is not blind (SEEDIF42 was “Yes” (1) and BLIND42 was “No” (2) and READNW42 was “No” (2) and RECPEP42 was “No” (2))
5	Blind (SEEDIF42 was “Yes” (1) and BLIND42 was “Yes” (1)

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2.6.5.4 Hearing Problems

A series of questions (HE33 to HE39) provides information on hearing impairment. These questions were asked of all household members, regardless of age. Deceased respondents were coded “Inapplicable” (-1).

HEARAD42 indicates whether a person wears a hearing aid. This variable was based on two questions, HE33 and HE34. The initial question (HE33) determined if anyone in the family wore a hearing aid. If the response was “Yes”, a follow-up question (HE34) was asked to determine which household member(s) wore a hearing aid. If the family-level response was “Don’t Know” (-8), “Refused” (-7), or “Not Ascertained” (-9), all persons were coded with the family-level response. In cases where the family-level response was “Yes” but no specific individual was identified as wearing a hearing aid, all family members were coded as “Don’t Know” (-8).

HEARDI42 indicates whether a person had difficulty hearing (with a hearing aid, if used). This variable is based on two questions, HE35 and HE36. The initial question (HE35) determined if anyone in the family had difficulty hearing. If the response was “Yes”, a follow-up question (HE36) was asked to determine which household member had an aural impairment. If the family-level response was “Don’t Know” (-8), “Refused” (-7), or “Not Ascertained” (-9), all persons were coded with the family-level response. In cases where the family-level response was “Yes” but no specific individual was identified as using a hearing aid, all family members were coded as “Don’t Know” (-8).

Three subsequent questions were asked only of individuals who had difficulty hearing (i.e., HEARDI42 was “Yes” (1)). Persons with no hearing impairment were coded as “Inapplicable” (-1) for these questions, as were persons with “Don’t Know” (-8), “Refused” (-7), or “Not Ascertained” (-9) responses to HEARDI42. The three subsequent questions are summarized in the three subsequent variables. DEAF42 determined if a person with difficulty hearing was deaf. For persons who were not deaf (DEAF42 was “No” (2)), HEARMO42 asked whether the person could hear well enough to hear most of the things people say (with a hearing aid, if used); persons who were deaf were not asked this question and were coded as “Inapplicable” (-1). For persons who could not hear most things people say (HEARMO42 was “No” (2)), HEARSM42 asked if the person could hear well enough to hear some of the things that people say. Persons who were deaf or who could hear most conversation were not asked this question and were coded as “Inapplicable” (-1).

HEARNG42 summarizes the pattern of responses to the set of hearing impairment questions. Codes for HEARNG42 are as follows:

Value	Definition
-1	All component variables are “Inapplicable” (HEARDI42 was -1 and DEAF42 was -1 and HEARMO42 was -1 and HEARSM42 was -1)
-9	One or more component variables was “Refused” (-7), “Don't know” (-8), or “Not ascertained” (-9)
1	No difficulty hearing (HEARDI42 was “No” (2))
2	Some difficulty hearing, can hear most things people say (HEARDI42 was “Yes” (1) and DEAF42 was “No” (2) and HEARMO42 was “Yes” (1))
3	Some difficulty hearing, cannot hear most things people say, can hear some things people say (HEARDI42 was “Yes” (1) and DEAF42 was “No” (2) and HEARMO42 was “No” (2) and HEARSM42 was “Yes” (1))
4	Some difficulty hearing, cannot hear most things people say, cannot hear some things people say but is not deaf (HEARDI42 was “Yes” (1) and DEAF42 was “No” (2) and HEARMO42 was “No” (2) and HEARSM42 was “No” (2))
5	Deaf (HEARDI42 was “Yes” (1) and DEAF42 was “Yes” (1)

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2.6.5.5 Any Limitation Rounds 3, 4, and 5 (Panel 9) / Rounds 1, 2, and 3 (Panel 10)

ANYLIM05 summarizes whether a person has any ADL, IADL, activity, functional, or sensory limitations in any of the pertinent rounds. This variable was derived based on data from Rounds 3, 4, and 5 (Panel 9) or Rounds 1, 2, and 3 (Panel 10). ANYLIM05 was built using the component variables IADLHP31, IADLHP42, IADLHP53, ADLHLP31, ADLHLP42, ADLHLP53, WLKLIM31, WLKLIM42, WLKLIM53, ACTLIM31, ACTLIM53, SEEDIF42, and HEARDI42. (The latter two variables, discussed above, indicate any visual or hearing impairment, respectively.) If any of these components was coded “Yes”, then ANYLIM05 was coded “Yes” (1). If all components were coded “No”, then ANYLIM05 were coded “No” (2). If all the components were “Inapplicable” (-1), then ANYLIM05 was coded as “Inapplicable” (-1). If all the components had missing value codes (i.e., -7, -8, -9, or –1), ANYLIM05 was coded as “Not Ascertained” (-9). If some components were “No” and others had missing value codes, ANYLIM05 was coded as “Not Ascertained” (-9). The exception to this latter rule was for children younger than five years old, who were not asked questions that are the basis for ACTLIM31 or ACTLIM53; for these respondents, if all other components were “No”, then ANYLIM05 was coded as “No” (2). The variable label for ANYLIM05 departs slightly from conventions. Typically, variables that end in “05” refer only to 2005. However, some of the variables used to construct ANYLIM05 were assessed in 2006, so some information from early 2006 is incorporated into this variable.

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2.6.5.6 Child Health and Preventive Care

Starting in 2001, a Child Health and Preventive Care section was added to Rounds 2 and 4 of MEPS, and it contains questions that had been in the 2000 Parent Administered Questionnaire (PAQ), selected children’s questions that had been asked in previous years, and additional child preventive care questions. Questions were asked about each child (under the age of 18 excluding deceased children) in the applicable age subgroups to which they pertained. For the Child Supplement variables, a code of “Inapplicable” (-1) was assigned if a person was deceased, was not in the appropriate Round 2 or 4, or was not in the applicable age subgroup as of the interview date. This public use dataset contains variables and frequency distributions from the Child Health and Preventive Care Section associated with 10,078 children who were eligible for the Child Health and Preventive Care Section. Children were eligible for this section when PSTATS42 was not equal to 31 (Deceased) and 0 <= AGE42X <= 17. Of these children, 9,697 were assigned a positive person-level weight for 2005 (PERWT05F > 0). Cases not eligible for the Child Health and Preventive Care Section should be excluded from estimates made with the Child Health and Preventive Care Section. Questions in this section that previously had been in the Parent Administered Questionnaire in 2000 may produce slightly different estimates starting in 2001 due to the change in mode from a self-administered parent questionnaire in 2000 to an interviewer administered questionnaire starting in 2001.

Children’s General Health Status Questions (ages 0 - 17)

Several questions from the General Health Subscale of the Child Health Questionnaire were asked about all children ages 0 through 17. The questions asked starting in 2001 are slightly different from the questions asked in previous years. A key reference for the Child Health Questionnaire is:

Landgraf JM, Abaetz L., Ware JE. The CHQ User’s Manual. First Edition. Boston, MA: The Health Institute, New England Medical Center, 1996.

Four questions asked for ratings of the child’s health on a 5-point scale, ranging from “Definitely True” (1) to “Definitely False” (5). These questions were:

LSHLTH42 - child seems less healthy than other children
NEVILL42 - child has never been seriously ill
SICEAS42 - child usually catches whatever is going around
HLTHLF42 - expect child will have a healthy life
WRHLTH42 - worry more than is usual about child’s health

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Children with Special Health Care Needs Screener (ages 0 - 17)

The Children with Special Health Care Needs (CSHCN) Screener instrument was developed through a national collaborative process as part of the Child and Adolescent Health Measurement Initiative (CAHMI) under the coordination by the Foundation for Accountability. A key reference for this screener instrument is:

Bethel CD, Read D, Stein REK, Blumberg SJ, Wells N, Newacheck PW. Identifying Children with Special Health Care Needs: Development and Evaluation of a Short Screening Instrument. Ambulatory Pediatrics Volume 2, No. 1, January-February 2002, pp 38-48.

These questions are asked about children ages 0 –17 and had been asked in the 2000 PAQ. In general, the CSHCN screener identifies children with activity limitation or need or use of more health care or other services than is usual for most children of the same age. When a response to a gate question was set to “No” (2), “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9), follow-up variables based on the gate question were coded as “Inapplicable” (-1).

The variable CSHCN42 identifies children with special health care needs, and was created using the CSHCN screener questions according to the specifications in the reference above. The CSHCN screener questions consist of a series of question-sequences about the following five health consequences: the need or use of medicines prescribed by a doctor; the need or use of more medical care, mental health, or education services than is usual for most children; being limited or prevented in doing things most children can do; the need or use of special therapy such as physical, occupational, or speech therapy; and the need or use of treatment or counseling for emotional, developmental, or behavioral problems. Parents who responded “yes” to any of the “initial” questions in the five question-sequences were then asked to respond to up to two follow-up questions about whether the health consequence was attributable to a medical, behavioral, or other health condition lasting or expected to last at least 12 months. Children with positive responses to at least one of the five health consequences along with all of the follow-up questions were identified as having a Special Health Care Need. Children with a “no” response for at least one question for each of the five question-sequences were considered NOT to have a Special Health Care Need. Those children whose “special health care need” status could not be determined (due to missing data for any of the questions) were coded as “Unknown”. More information about the CSHCN screener questions can be obtained from (http://www.markle.org/resources/facct/).

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The CSHCN screener questions were:

CHPMED42 -	child needs or uses prescribed medicines
CHPMHB42 -	prescribed medicines were because of a medical, behavioral, or other health condition
CHPMCN42 -	health condition that causes a person to need prescribed medicines has lasted or is expected to last for at least 12 months
CHSERV42 -	child needs or uses more medical care, mental health, or education services than is usual for most children of the same age
CHSRHB42 -	child needs or uses more medical and other service because of a medical, behavioral, or other health condition
CHSRCN42 -	health condition that causes a person to need or use more medical and other services has lasted or is expected to last for at least 12 months
CHLIMI42 -	child is limited or prevented in any way in ability to do the things most children of the same age can do
CHLIHB42 -	child is limited in the ability to do the things most children can do because of a medical, behavioral, or other health condition
CHLICO42 -	health condition that causes a person to be limited in the ability to do the things most children can do has lasted or is expected to last for at least 12 months
CHTHER42 -	child needs or gets special therapy such as physical, occupational, or speech therapy
CHTHHB42 -	child needs or gets special therapy because of a medical, behavioral, or other health condition
CHTHCO42 -	health condition that causes a person to need or get special therapy has lasted or is expected to last for at least 12 months
CHCOUN42 -	child has an emotional, developmental, or behavioral problem for which he or she needs or gets treatment or counseling
CHEMPB42 -	problem for which a person needs or gets treatment or counseling is a condition that has lasted or is expected to last for at least 12 months
CSHCN42 -	identifies children with special health care needs

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Columbia Impairment Scale (ages 5 - 17)

These questions inquired about possible child behavioral problems and were asked in previous years. Respondents were asked to rate on a scale from 0 to 4, where “0” indicates “No Problem” and “4” indicates “A Very Big Problem”, how much of a problem the child has with thirteen specified activities. A key reference for the Columbia Impairment Scale is:

Bird HR, Andrews H, et. al. “Global Measures of Impairment for Epidemiologic and Clinical Use with Children and Adolescents.” International Journal of Methods in Psychiatric Research, vol. 6, 1996, pp. 295-307.

Certain questions in this series were coded to “Asked, but Inapplicable” (99) when the question was not applicable for a specific child. For example, if a child’s mother was deceased, a question about how much of a problem a child has getting along with his/her mother would be set to “Asked, but Inapplicable” (99). Similarly, the question about problems getting along with siblings would be set to “Asked, but Inapplicable” (99) for children with no siblings. Variables in this set include:

MOMPRO42 -	getting along with mother
DADPRO42 -	getting along with father
UNHAP42 -	feeling unhappy or sad
SCHLBH42 -	(his/her) behavior at school
HAVFUN42 -	having fun
ADUPRO42 -	getting along with adults
NERVAF42 -	feeling nervous or afraid
SIBPRO42 -	getting along with brothers and sisters
KIDPRO42 -	getting along with other kids
SPRPRO42 -	getting involved in activities like sports or hobbies
SCHPRO42 -	(his/her) schoolwork
HOMEBH42 -	(his/her) behavior at home
TRBLE42 -	staying out of trouble

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CAHPS® (Consumer Assessment of Healthcare Providers and Systems) ages 0 - 17

The health care quality measures were taken from the health plan version of CAHPS®, an AHRQ sponsored family of survey instruments designed to measure quality of care from the consumer’s perspective and had been asked in the 2000 PAQ. While there have been several changes in these questions since 2000 that are discussed in the specific year’s file documentation, there were no changes to these questions from 2004 to 2005. All of the CAHPS® variables refer to events experienced in the last 12 months. The variables included from the CAHPS® are:

CHILCR42 -	whether a person had an illness, injury, or condition that needed care right away from a clinic, emergency room, or doctor’s office
CHILWW42 -	how often a person got care as soon as was wanted for an illness, injury, or condition (coded as “-1 Inapplicable” when CHILCR42=2, -7, -8, or -9)
CHRTCR42 -	whether any appointments were made to see a doctor or other health provider for routine health care
CHRTWW42 -	how often a person got an appointment for routine health care as soon as was wanted (coded as “-1 Inapplicable” when CHRTCR42=2, -7, -8, or -9)
CHAPPT42 -	how many times a person went to a doctor’s office or clinic for care
CHNDCR42 -	whether the parent or a doctor believed the person needed any care, tests or treatment (coded as “-1 Inapplicable” when CHAPPT42=0, -7, -8, -9)
CHNECP42 -	how much of a problem it was to get a person the care, tests or treatment that the parent or a doctor believed necessary (coded as “-1 Inapplicable” when CHAPPT42=0, -7, -8, or -9 or when CHNDCR42=2, -7, -8, -9)
CHLIST42 -	how often a person’s doctors or other health providers listened carefully to the parent (coded as “-1 Inapplicable” when CHAPPT42=0, -7, -8, or -9)
CHEXPL42 -	how often a person’s doctors or other health providers explained things in a way the parent could understand (coded as “-1 Inapplicable” when CHAPPT42=0, -7, -8, or -9)
CHRESP42 -	how often a person’s doctors or other health providers showed respect for what the parent had to say (coded as “-1 Inapplicable” when CHAPPT42=0, -7, -8, or -9)
CHPRTM42 -	how often doctors or other health providers spent enough time with a person and parent (coded as “-1 Inapplicable” when CHAPPT42=0, -7, -8, or -9)
CHHECR42 -	rating of health care from 0 to 10 where 0 =Worst health care possible and 10=Best health care possible (coded as “-1 Inapplicable” when CHAPPT42=0, -7, -8, or -9)
CHSPEC42 -	whether a person needed to see a specialist
CHPRRE42 -	how much of a problem it was to see a specialist that child needed to see (coded as “-1 Inapplicable” when CHSPEC42=2, -7, -8, or -9)

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Child Preventive Care (age range depends on question)

A series of questions was asked about amounts and types of preventive care a child may receive when going to see a doctor or other health provider. Questions are asked of children of different age groups depending on the nature of the questions. When a response to a gate question was set to “No” (2), “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9), follow-up variables based on the gate question were coded as “Inapplicable” (-1). Variables in this set include:

MESHGT42 -	doctor or other health provider ever measured child’s height (0 – 17)
WHNHGT42 -	when doctor or other health provider measured child’s height (0 – 17)
MESWGT42 -	doctor or other health provider ever measured child’s weight (0 – 17)
WHNWGT42 -	when doctor or other health provider measured child’s weight (0 – 17)
CHBMIX42 -	child’s Body Mass Index (BMI) as based on child’s reported height and weight (6 – 17)
MESVIS42 -	doctor or other health provider ever checked child’s vision (3 – 6)
MESBPR42 -	doctor or other health provider ever checked child’s blood pressure (2 – 17)
WHNBPR42 -	when doctor or other health provider checked child’s blood pressure (2 – 17)
DENTAL42 -	doctor or other health provider ever advised a dental checkup (2 – 17)
WHNDEN42 -	when doctor or other health provider advised a dental checkup (2 – 17)
EATHLT42 -	doctor or other health provider ever given advice about child’s eating healthy (2 – 17)
WHNEAT42 -	when doctor or other health provider gave advice about eating healthy (2 – 17)
PHYSCL42 -	doctor or other health provider ever given advice about the amount and kind of exercise, sports or physically active hobbies the child should have (2 – 17)
WHNPHY42 -	when doctor or other health provider gave advice about exercise (2 – 17)
SAFEST42 -	doctor or other health provider ever given advice about using a safety seat when child rides in the car (weight <= 40 pounds or age 0 - 4 if weight is missing)
WHNSAF42 -	when doctor or other health provider gave advice about using a safety seat (weight <= 40 pounds or age 0 - 4 if weight is missing)
BOOST42 -	doctor or other health provider ever given advice about using a booster seat when child rides in the car (weight between 41 and 80 pounds or age > 4 and age <= 9 if weight is missing)
WHNBST42 -	when doctor or other health provider gave advice about using a booster seat (weight between 41 and 80 pounds or age > 4 and age <= 9 if weight is missing)
LAPBLT42 -	doctor or other health provider ever given advice about using lap and shoulder belts when child rides in the car (weight > 80 pounds or age > 9 if weight is missing)
WHNLAP42 -	when doctor or other health provider gave advice about using lap and shoulder belts (weight > 80 pounds or age > 9 if weight is missing)
HELMET42 -	doctor or other health provider ever given advice about the child’s using a helmet when riding a bicycle or motorcycle (2 – 17)
WHNHEL42 -	when doctor or other health provider gave advice about the child’s using a helmet when riding a bicycle or motorcycle (2 – 17)
NOSMOK42 -	doctor or other health provider ever given advice about how smoking in the house can be bad for child’s health (0 – 17)
WHNSMK42 -	when doctor or other health provider gave advice about how smoking in the house can be bad for the child’s health (0 – 17)
TIMALN42 -	during last health care visit, doctor or other health provider spent any time alone with the child (12 – 17)

Due to confidentiality concerns and restrictions, the variables HGTFT42, HGTIN42, WGTLB42 and WGTOZ42, will not be included on the Full-Year 2005 file. Instead, a Body Mass Index (BMI) variable, CHBMIX42, was calculated and included for children 6-17 years old. Due to a high percentage of missing height data for children ages 5 and under (29%), these children were given a “-1 Inapplicable” code for the variable CHBMIX42. CHBMIX42 is included in the 2005 file and on the above list. Please note: analysts can have access to the height and weight variables and/or construct a BMI variable of their own through the MEPS Data Center. To access information on the MEPS Data Center including an application, please go to the following Web address: meps.ahrq.gov/data_stats/onsite_datacenter.jsp.

The steps used to calculate the BMI for children 6-17 are as follows:

Construct child height and weight variables HGTFT42, HGTIN42, WGTLB42 and WGTOZ42 based on collected data
Create a preliminary data set containing height, weight, sex and age data.
Generate a preliminary child BMI using the preliminary data set and the procedure for calculating the BMI for children as described on the Centers for Disease Control and Prevention (www.cdc.gov) Web site
Create the child BMI variable CHBMIX42 using the preliminary child BMI, setting all deceased persons and all persons over 17 years old and all persons 5 years old or younger to Inapplicable (-1)

Note that for FY 2005, child height and weight were not top-coded prior to the construction of the preliminary data set. Where height in feet was > 0 and height in inches was missing, the mid-point value for height in inches (6 inches) was assigned to HGTIN42 for use in the calculation of the child BMI. Where height in feet was 0 and height in inches was missing, the preliminary child BMI was set to “Not Ascertained” (-9).

For cases where weight in pounds was between 1 and 20 and weight in ounces was missing (WGTOZ42 in (-7,-8,-9)), the mid-point value for weight in ounces (8 ounces) was assigned to WGTOZ42 for use in the calculation of the child BMI. Where weight in pounds was 0 and weight in ounces was missing, the preliminary child BMI was set to “Not Ascertained” (-9).

This use of the mid-points for inches and ounces ensures that children who have feet but not inches in height and/or pounds but not ounces in weight are included in the BMI calculation.

As indicated in step 2 above a preliminary SAS data set containing height, weight, sex and age data for children 6-17 years old in FY 2005 was created. Two SAS programs were downloaded from the Centers for Disease Control and Prevention Web site for the purpose of calculating the BMI for children (step 3). These programs used the preliminary data set of children to generate a preliminary child BMI based on the 2000 CDC growth charts (www.cdc.gov/growthcharts/). These programs used the following formula to calculate the preliminary BMI for children:

Weight in Kilograms / [(Height in Centimeters/100)]2

Note that weight in pounds and ounces was converted to weight in kilograms in the preliminary data set. Similarly, height in feet and inches was converted to height in centimeters in the preliminary data set.

As indicated in step 4 above, the child BMI variable CHBMIX42 was calculated using this preliminary BMI from step 3. Deceased persons, persons > 17 years old, and children younger than 6 years old were set to Inapplicable (-1) for CHBMIX42. Children 6-17 years old with a missing value for height in feet (HGTFT42 is “Refused” (–7), “Don’t Know” (-8), or “Not Ascertained” (-9)) and/or weight in pounds (WGTLB42 is “Refused” (–7), “Don’t Know” (-8), or “Not Ascertained” (-9)) were set to Not Ascertained (-9) for CHBMIX42. Children whose height in feet was 0 and height in inches was missing (HGTIN42 is “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9)) were set to “Not Ascertained” (-9) for CHBMIX42. Children whose weight in pounds was 0 and weight in ounces was missing (WGTOZ42 is “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9)) were set to “Not Ascertained” (-9) for CHBMIX42. All other children 6-17 years old have a calculated BMI for FY 2005.

As in 2004, CHBMIX42 was not top- or bottom-coded or edited.

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2.6.5.7 Preventive Care Variables

For each person, excluding deceased persons, a series of questions was asked primarily about the receipt of preventive care or screening examinations. Questions varied in the applicable age or gender subgroups to which they pertained. The list of variables in this series, along with their applicable subgroup is as follows:

DENTCK53 -	on average, frequency of dental check-up doctor or health professional All ages; both genders
CHOLCK53 -	about how long since last blood cholesterol check by Age >17; both genders
CHECK53 -	how long since last routine check-up by doctor or other health professional for assessing overall health Age >17; both genders
FLUSHT53 -	how long since last flu shot Age >17; both genders
LSTETH53 -	has person lost all natural (permanent) teeth Age >17; both genders
PSA53 -	how long since last prostate specific antigen (PSA) test Age >39; males only
HYSTER53 -	had a hysterectomy Age >17; females only
PAPSMR53 -	how long since last pap smear test Age >17; females only
MAMOGR53 -	how long since last mammogram Age >29; females only
STOOL53 -	ever had a blood stool test performed at home that was provided by doctor or other health professional to determine whether stool contains blood Age >17; both genders
WHENST53 -	when was last time had blood stool test using home kit Age >17; STOOL53=1 (yes, person had a blood stool test performed at home that was provided by doctor or other health professional to determine whether stool contains blood)
BOWEL53 -	ever had sigmoidoscopy or colonoscopy Age >17; both genders
WHNBWL53 -	when was last sigmoidoscopy or colonoscopy Age >17; BOWEL53=1 (yes, person had sigmoidoscopy or colonoscopy)
PHYACT53 -	currently spends half hour or more in moderate to vigorous physical activity at least three times a week Age>17; both genders
BMINDX53 -	Adult Body Mass Index (BMI) as based on reported height and weight Age > 17; both genders
SEATBE53 -	wears seat belt when drives or rides in a car Age >15; both genders

For each of the variables above, a code of “Inapplicable” (-1) was assigned if the person was deceased or if the person did not belong to the applicable subgroups.

Due to confidentiality concerns and restrictions, the variables HGHTFT53, HGHTIN53, WEIGHT53 and WGTEST53, will not be included on the Full-Year 2005 file. Instead, a Body Mass Index (BMI) variable, BMINDX53, was calculated for adults 18 years of age or older. BMINDX53 is included in the 2005 file and on the above list. Please note: analysts can have access to the height and weight variables and/or construct a BMI variable of their own through the MEPS Data Center. To access information on the MEPS Data Center including an application, please go to the following Web address: meps.ahrq.gov/data_stats/onsite_datacenter.jsp.

BMI categories for adults are the following:

Underweight = BMI is less than 18.5,
Normal Weight = BMI is between 18.5 – 24.9 inclusive,
Overweight = BMI is between 25.0 – 29.9 inclusive, and
Obesity = BMI greater than or equal to 30.0

The following formula used to calculate the BMI for adults was taken from the Centers for Disease Control and Prevention (www.cdc.gov/) Web site:
BMI = [Weight in Pounds / (Height in Inches)2 ] * 703
The steps used to calculate the BMI for adults are as follows:

Construct adult height, weight and weight estimate variables HGHTFT53, HGHTIN53, WEIGHT53 and WGTEST53
Create the building block variable ADHGTIN, indicating total height in inches for adults => 18 years old
Create the temporary variable MIDWGT, indicating the mid-point value of a person’s estimate of weight (WGTEST53)
Create the adult BMI variable BMINDX53 using the building block and the temporary variable, setting all deceased persons and all persons < 18 years old to Inapplicable (-1)

For FY 2005, adult height and weight were not top- or bottom-coded prior to the construction of the adult BMI.

The building block variable ADHGTIN was calculated as [(HGHTFT53 * 12) + (HGHTIN53)] to indicate total adult height in inches, step 2. Note that ADHGTIN was created for programming efficiency only and is not included in this data release. For cases where height in feet was > 0 (HGHTFT53 > 0) and height in inches was missing (HGHTIN53 in (-7, -8, -9)), the mid-point value for height in inches (6 inches) was used in the calculation of total height in inches [ADHGTIN = (HGHTFT53 * 12) + 6]. This use of the mid-point for inches ensures that adults who have feet but not inches in height are included in the BMI calculation. ADHGTIN was set to Not Ascertained (-9) for all cases where adult height in feet was “Refused”, “Don’t Know”, or “Not Ascertained” (HGHTFT53 in (-7, -8, -9)). Deceased persons and persons whose age was less than 18 years old were set to Inapplicable (-1) for ADHGTIN.

The temporary variable MIDWGT was calculated to indicate the mid-point value of person’s estimate of weight (WGTEST53), step 3. The value 400, rather than a mid-point, was assigned to MIDWGT where estimate of weight was “400 pounds or more” (WGTEST53 = 18). Note that MIDWGT was created for programming efficiency only and is not included in this data release.

The adult BMI variable BMINDX53 was calculated (step 4) using the building block variable ADHGTIN and adult weight in pounds (WEIGHT53) as follows:

BMINDX53 = [WEIGHT53 / (ADHGTIN)2 ] * 703

For adults whose weight in pounds was “Don’t Know” (WEIGHT53 = -8) and whose estimate of weight was > 0 (WGTEST53 between 1 and 18), MIDWGT was used in the calculation of BMINDX53:

BMINDX53 = [MIDWGT / (ADHGTIN)2 ] * 703

BMINDX53 was set to “Not Ascertained” (-9) for adults whose weight in pounds was “Refused” or “Not Ascertained” (WEIGHT53 in (-7, -9)). BMINDX53 was set to “Not Ascertained” (-9) for adults whose weight in pounds was “Don’t Know” (-8) and whose estimate of weight was “Refused”, “Don’t Know”, or “Not Ascertained” (WGTEST53 in (-7, -8, -9)). BMINDX53 was set to “Not Ascertained” (-9) for adults whose total height in inches was “Not Ascertained” (ADHGTIN = -9). Deceased persons and persons whose age was less than 18 years old were set to “Inapplicable” (-1) for BMINDX53.

As in 2004, BMINDX53 was not top- or bottom-coded or edited.

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2.6.5.8 Priority Conditions

For each person, excluding deceased persons, questions from the supplemental Priority Condition (PC) section were asked about the existence of select priority conditions. Questions varied in the applicable age subgroups to which they pertained.

Note that if edited age is within range for the variable to be set, but the source data are missing because person’s age in CAPI is not within range, the constructed variable is set to “Not Ascertained” (-9).

Questions were asked regarding the following conditions:

Sore Throat
Diabetes
Asthma
High blood pressure
High cholesterol
Heart disease (including coronary heart disease, angina, myocardial infarction)
Stroke
Emphysema
Joint pain
Arthritis

These conditions were selected because (1) they are relatively prevalent and (2) generally accepted standards for appropriate clinical care have been developed. As part of AHRQ’s focus on the quality of health care, this series of questions obtained information on the receipt of tests or procedures appropriate for each condition. This information thus supplements other information on medical conditions that is gathered in other parts of the interview.

It should be noted that unlike condition information collected elsewhere in the MEPS, conditions identified in the priority care section of the instrument were not added to the condition roster. In addition, chronic conditions asked about in this section were asked in the context of "has person ever been told by a doctor or other health care professional that they have (condition)?", rather than the standard reference period. Thus, there may be legitimate inconsistencies between items in this section and conditions recorded for a person on the condition file.

Editing of these variables focused on checking that skip patterns were consistent.

Sore Throat

Questions about sore throats were asked only of persons under age 18. Consequently, persons 18 years of age or older were coded as "Inapplicable" (-1) on these questions. SRTHRT53 indicates whether each person had a sore throat serious enough to cause the person to call a doctor or other health professional during the last 12 months. Those who said "Yes" (1) to SRTHRT53 were asked whether the person who contacted a doctor or other health professional in the last 12 months did so primarily due to a sore throat or some other symptoms (THSYMP53). For those who said "Sore Throat" (1) to THSYMP53, a follow-up question was asked which indicates whether the person actually saw the doctor or other health professional for the sore throat (DRTHRT53). THANTB53 indicates whether the doctor or other health provider prescribed antibiotics for the sore throat. Those who said "Yes" (1) to THANTB53 were asked whether the person received a throat swab before receiving the antibiotics (THSWAB53). For those who answered "No" (2), "Refused" (-7), or "Don't Know" (-8), a follow-up question, THSYMF53, was asked which indicates whether other persons in the household had similar symptoms around the same time. If THSYMF53 was answered "Yes" (1), the person was asked whether a doctor or other health professional gave these family members a throat swab (THSWBF53) and whether a doctor or health professional prescribed antibiotics for these family members (THANTF53).

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Diabetes

DIABDX53 indicates whether each person had ever been diagnosed with diabetes (excluding gestational diabetes). Each person who said they had received a diagnosis of diabetes was asked to complete a special self-administered questionnaire. The documentation for this questionnaire appears in the Diabetes Care Survey (DCS) section of the documentation.

Asthma

(Please note: the follow-up asthma questions were revised for 2003). ASTHDX53 indicates whether a respondent had ever been diagnosed with asthma. Those who said “Yes” were asked additional questions. ASSTIL53 asked if the person still had asthma. ASATAK53 asked whether the person had experienced an episode of asthma or an asthma attack in the past 12 months. Persons who said “Yes” for either ASSTIL53 or ASATAK53 were asked further follow-up questions regarding asthma medication used for quick relief (ASACUT53), preventive medicine (ASPREV53), and peak flow meters (ASPKFL53). ASACUT53 asked whether the person had used the kind of prescription inhaler that you breathe in through your mouth that gives quick relief from asthma symptoms. Those who said “Yes” to ASACUT53 were asked whether they had used more than three canisters of this type of inhaler in the past 3 months (ASMRCN53). ASPREV53 asked whether the person had ever taken the preventive kind of asthma medicine used every day to protect the lungs and prevent attacks, including both oral medicine and inhalers. Those who said “Yes” to ASPREV53 were asked whether they now took this kind of medication daily or almost daily (ASDALY53). ASPKFL53 indicates whether the person with asthma had a peak flow meter at home. Those persons who said “Yes” to ASPKFL53 were asked if they ever used the peak flow meter (ASEVFL53). Those persons who said “Yes” to ASEVFL53 (those persons who had used the peak flow meter) were asked when they last used the peak flow meter (ASWNFL53). Those who said “No” (2) (or “Refused” (-7) or “Don’t Know” (-8)) to ASTHDX53 were not asked ASSTIL53, ASATAK53, ASACUT53, ASMRCN53, ASPREV53, ASDAYLY53, ASPKFL53, ASEVFL53 and ASWNFL53; these respondents have been assigned a code of “Inapplicable” (-1) for these variables. Those who said “No” (2) (or “Refused” (-7) or “Don’t Know” (-8)) to ASSTIL53 and ASATAK53 were not asked ASACUT53, ASMRCN53, ASPREV53, ASDAYLY53, ASPKFL53, ASEVFL53 and ASWNFL53; these respondents have been assigned a code of “Inapplicable” (-1) for these variables.

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High Blood Pressure

Questions about high blood pressure (hypertension) were asked only of respondents aged 18 or older. Consequently, persons aged 17 or younger were coded as “Inapplicable” (-1) on these variables. HIBPDX53 ascertained whether the person had ever been diagnosed as having high blood pressure (other than during pregnancy). Those who had received this diagnosis were also asked if they had been told on two or more different visits that they had high blood pressure (BPMLDX53).

All respondents older than 17 (regardless of hypertension diagnosis) were also asked how long it had been since they had their blood pressure checked by a doctor, nurse, or other health professional (BPCHEK53). If the response was within the past year or two years, the number of months since the last blood pressure check was ascertained (BPMONT53). Note that analysts may observe a slight increase in the value “1” (1 month) in 2005 because interviewers were directed to enter ‘1’ if the response was “less than one month ago.” If the response to BPCHEK53 was longer than 2 years, BPMONT53 was not asked and was coded as “Inapplicable” (-1).

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High Cholesterol

New questions about high cholesterol were asked of respondents aged 18 or older. Consequently, persons aged 17 or younger were coded as “Inapplicable” (-1) on these variables. CHOLDX53 ascertained whether the person had ever been diagnosed as having high cholesterol. Those who had received this diagnosis were also asked at what age this diagnosis occurred (CHLAGE53). Note that, like the AGE##X variables, CHLAGE53 was top coded to 85 years of age for confidentiality purposes. Persons who were diagnosed over the age of 85 have CHLAGE53 set to 85.

Heart Disease

The next series of questions concerned ischemic heart disease. The questions were asked only of respondents aged 18 or older. Consequently, persons aged 17 or younger were coded as “Inapplicable” (-1) on all the variables in this set.

CHDDX53 -	asked if the person had ever been diagnosed as having coronary heart disease
ANGIDX53 -	asked if the person had ever been diagnosed as having angina, or angina pectoris
MIDX53 -	asked if the person had ever been diagnosed as having a heart attack, or myocardial infarction
OHRTDX53 -	asked if the person had ever been diagnosed with any other kind of heart disease or condition
STRKDX53 -	asked if the person had ever been diagnosed as having had a stroke or transient ischemic attack (TIA or ministroke)

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In addition, all persons aged 18 or older were asked the following three questions about diet, exercise and use of aspirin:

NOFAT53 -	asked if a doctor or other health professional had ever advised the person to eat fewer high fat or high cholesterol foods
EXRCIS53 -	asked if a doctor had advised the person to exercise more
ASPRIN53 -	asked if the person took aspirin frequently

If the answer to ASPRIN53 was “No”, or if the response was “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9), a follow-up question asked if the person had a health problem that made taking aspirin unsafe (NOASPR53). If the answer to NOASPR53 was “Yes” (1), the person was asked if this problem was stomach-related or something else (STOMCH53).

Those who answered “No” to NOASPR53 were coded as “Inapplicable” (-1) for STOMCH53. Those who answered “Yes” to ASPRIN53 were coded as “Inapplicable”
(-1) on NOASPR53 and on STOMCH53.

Emphysema

EMPHDX53 asked if the person (aged 18 or older) had ever been diagnosed with emphysema. Persons aged 17 or younger were coded as “Inapplicable” (-1).

Joint Pain

JTPAIN53 asked if the person (aged 18 or older) had experienced pain, swelling, or stiffness around a joint in the last 12 months. Persons aged 17 or younger were coded as “Inapplicable” (-1). This question is not intended to be used as an indicator of a diagnosis of arthritis.

Arthritis

ARTHDX53 asked if the person (age 18 or older) had ever been diagnosed with arthritis. Persons aged 17 or younger were coded as “Inapplicable” (-1). If the person said "Yes" (1) to ARTHDX53, a follow-up question, ARTHTX53, was asked which indicates whether the person is currently being treated for arthritis.

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2.6.5.9 2005 Self-Administered Questionnaire (SAQ)

The 2005 Self-Administered Questionnaire (SAQ), a paper-and-pencil questionnaire, was fielded during Panel 9 Round 4 and Panel 10 Round 2 of the 2005 Medical Expenditure Panel Survey (MEPS). The survey was designed to collect a variety of health status and health care quality measures of adults. All adults age 18 and older as of the Round 2 or 4 interview date (AGE42X >= 18) in MEPS households were asked to complete a SAQ. The questionnaires were administered in late 2005 and early 2006.

The variable SAQELIG indicates the person’s eligibility status for the SAQ. SAQELIG was used to construct the variables based on the SAQ data. SAQELIG was coded “0” (Not Eligible For SAQ) if there was no record for person in the round, if the person was deceased, institutionalized, moved out of the US, moved to a military facility, or the person’s disposition status was inapplicable, or if the person was less than 18 years old. SAQELIG was coded “1” (Eligible For SAQ and Has SAQ Data) if a SAQ record existed for the person in Round 2 (for Panel 10) or Round 4 (for Panel 9). SAQELIG was coded “2” (Eligible For SAQ, But No SAQ Data) if no SAQ record existed for the person in the round.

If a respondent was unable to respond to the SAQ, the questionnaire was completed by a proxy, as indicated by the variable ADPRX42 (ADPRX42 > 0). For the SAQ variables, a code of “Inapplicable” (-1) was assigned if a person was not eligible or was eligible but no data existed based on SAQELIG (SAQELIG was coded “0” or “2”). If a person was not assigned a positive SAQ weight, all SAQ variables, with the exception of SAQELIG, were coded “Inapplicable” (-1). When a response to a gate question answer was set to “No” (2), follow-up variables based on the gate question were coded as “Inapplicable” (-1). When a gate question answer was set to “Refused” (-7), “Don’t Know” (-8), or “Not Ascertained” (-9), follow-up variable answers were left as reported. A special weight variable (SAQWT05F) has been designed to be used with the SAQ for persons who were age 18 and older at the interview date. This weight adjusts for SAQ non-response and weights to the US civilian noninstitutionalized population (see Section 3.0 of the documentation for details). The variables created from the SAQ begin with “AD”.

The language in which the SAQ was completed is indicated by the variable ADLANG42. If the English version of the SAQ was completed, ADLANG42 was coded “1” (English Version SAQ Was Administered). If the Spanish version of the SAQ was completed, or if the English version was translated into Spanish, ADLANG42 was coded “2” (Spanish Version SAQ Was Administered). If the language in which the SAQ was administered was not ascertained, ADLANG42 was coded “-9” (Not Ascertained).

The month, day and year the SAQ was completed are indicated by the variables ADCMPM42, ADCMPD42 and ADCMPY42, respectively.

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Health Care Quality

CAHPS® (Consumer Assessment of Healthcare Providers and Systems)

The health care quality measures in the SAQ were taken from the health plan version of CAHPS®, an AHRQ-sponsored family of survey instruments designed to measure quality of care from the consumer’s perspective. All of the variables refer to events experienced in the last 12 months and were asked of adults age 18 and older. The variables included from the CAHPS® are:

ADILCR42 -	Had an illness, injury or condition needing care right away from a clinic, emergency room or doctor’s office
ADILWW42 -	If ADILCR42 = 1, how often got care for an illness, injury or condition as soon as wanted
ADRTCR42 -	Any appointment was made to see a doctor or other health provider for health care
ADRTWW42 -	If ADRTCR42 = 1, how often got an appointment for health care as soon as wanted
ADAPPT42 -	Number of times went to doctor’s office or clinic to get care
ADNDCR42 -	If ADAPPT42 > 0, whether you or a doctor believed you needed any care, tests, or treatment
ADNECP42 -	If ADAPPT42 > 0 and ADNDCR42= 1, how much of a problem it was to get care, tests or treatment you or a doctor believed necessary
ADLIST42 -	If ADAPPT42 > 0, how often health providers listened carefully to you
ADEXPL42 -	If ADAPPT42 > 0, how often health providers explained things so you understood
ADRESP42 -	If ADAPPT42 > 0, how often providers showed respect for what you had to say
ADPRTM42 -	If ADAPPT42 > 0, how often health providers spent enough time with you
ADHECR42 -	If ADAPPT42 > 0, rating of healthcare from all doctors and other health providers, from 0 (worst health care possible) to 10 (best health care possible)

General Health

ADSMOK42 -	Currently smoke
ADNSMK42 -	If ADSMOK42 = 1, doctor advised you to quit smoking
ADDRBP42 -	Blood pressure has been checked by a doctor, nurse, or other health professional
ADSPEC42 -	Needed to see a specialist
ADPRRE42 -	If ADSPEC42 = 1, how much of a problem it was to see a specialist

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Health Status

The SAQ contained three measures ofhealth status, the Short-Form 12 Version 2 (SF-12v2 (r), a registered trademark), the Kessler Index (K6) of non-specific psychological distress, and the Patient Health Questionnaire (PHQ-2). Key references for these three measures are:

1. Ware, J.E., Kosinski, M., and Keller, S.D. (1996). A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical Care 34:220.

2. Kessler, R.C., Andrews, G., Colpe, L.J., Hiripi, E., Mroczek, D.K., Normand, S.-L., Walters, E.E., and Zaslavsky, A.M. (2002). Short screening scales to monitor population prevalence and trends in non-specific psychological distress. Psychological Medicine 32: 959-976.

3. Kroenke, K., Spitzer, R.L., and Williams, J.B. (2003). The Patient Health Questionnaire-2: Validity of a two-item depressive screener. Medical Care 41: 1284-1292.

The SF-12v2 questions are as follows:

ADGENH42 -	General health today
ADDAYA42 -	During a typical day, limitations in moderate activities
ADCLIM42 -	During a typical day, limitations in climbing several flights of stairs
ADPALS42 -	During past 4 weeks, as result of physical health, accomplished less than would like
ADPWLM42 -	During past 4 weeks, as result of physical health, limited in kind of work or other activities
ADMALS42 -	During past 4 weeks, as result of mental problems, accomplished less than you would like
ADMWLM42 -	During past 4 weeks, as result of mental problems, limited in kind of work or other activities
ADPAIN42 -	During past 4 weeks, pain interfered with normal work outside the home and housework
ADCAPE42 -	During the past 4 weeks, felt calm and peaceful
ADNRGY42 -	During the past 4 weeks, had a lot of energy
ADDOWN42	During the past 4 weeks, felt downhearted and depressed
ADSOCA42 -	During the past 4 weeks, physical health or emotional problems interfered with social activities

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Short-Form 12 Version 2 (SF-12v2)

In analyzing data from the SF-12v2, the standard approach is to form two summary scores, based on responses to these questions. The underlying conception is that overall health is composed of a physical component and a mental component. The scoring algorithms for both the PCS and the MCS incorporate information from all 12 questions. However, the Physical Component Summary (PCS) weights more heavily responses to the following questions: ADDAYA42, ADCLIM42, ADPALS42, ADPWLM42, and ADPAIN42. The Mental Component Summary (MCS) weights more heavily responses to the following questions: ADDOWN42, ADCAPE42, ADMALS42, ADMWLM42, and ADSOCA42. The algorithm for computing the PCS and the MCS summary scores is described in the manual for the SF-12:

Ware, Jr., J.E., Kosinski, M., Turner-Bowker, DM, and Gandek, B. How to Score Version 2 of the SF-12 (r) Health Survey. (October, 2002). QualityMetric, Inc., Lincoln, RI.

This manual can be purchased from QualityMetric, Inc. (http://www.qualitymetric.com/). The PCS and MCS cannot be computed directly if a person has missing data for any of the twelve items. QualityMetric has developed a proprietary method for imputing the PCS and MCS scores if some data are missing. PCS and MCS scores calculated according to the standard algorithm, and incorporating imputations for some cases with missing data are available for analysts in this file. The PCS-12 score is PCS42, and the MCS-12 score is MCS42. Note that negative values are possible in PCS42 and MCS42 in rare cases. There is one record in 2005 where MCS42 is set to a negative value. Persons who were not eligible for the SAQ, or who were eligible but for whom no data existed based on SAQELIG, or who did not have a positive SAQ weight, were set to “Inapplicable” (-1) for PCS42 and MCS42. (These persons were set to missing in 2002.)

The variables PCS42 and MCS42 include cases in which the scores were imputed. SFFLAG42 indicates whether the physical component summary, PCS42, or the mental component, MCS42, were imputed for a respondent. In some cases the software could not impute a score due to amount of missing data; these cases have SFFLAG42 = 0 (No). (This represents a change from 2002, when these cases had SFFLAG42 = 1 (Yes)). Persons who were not eligible for the SAQ, or who were eligible but for whom no data existed based on SAQELIG, or who did not have a positive SAQ weight, were set to “Inapplicable” (-1) for SFFLAG42. (These persons were set to missing in 2002.)

In 2000, 2001, and 2002, MEPS used Version 1 of the SF-12. The PCS and MCS scores based on Version 1 of the SF-12 in these years were based on norms from 1990. Version 2 scores are based on norms from a 1998 national study. To appropriately compare Version 1 scores with Version 2 scores, Version 1 scores need to be rescaled to 1998 norms. This can be done by adding 1.07897 to PCS scores from Version 1, and by subtracting 0.16934 from Version 1 MCS scores. For full details, please consult the SF-12 reference manual cited above.

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Non-Specific Psychological Distress

The 2005 SAQ includes six new mental health-related questions, using the “K-6” scale developed by R.C. Kessler and colleagues. These questions assess the person’s non-specific psychological distress during the past 30 days.

The non-specific psychological distress variables are as follows:

ADNERV42 -	During the past 30 days, felt nervous
ADHOPE42 -	During the past 30 days, felt hopeless
ADREST42 -	During the past 30 days, felt restless or fidgety
ADSAD42 -	During the past 30 days, felt so sad that nothing could cheer the person up
ADEFRT42 -	During the past 30 days, felt that everything was an effort
ADWRTH42 -	During the past 30 days, felt worthless

Kessler Index (K6)

A summary of the six variables above provides an index to measure non-specific, rather than disorder-specific, psychological distress. Using the following values:

0	None of the Time
1	A Little of the Time
2	Some of the Time
3	Most of the Time
4	All of the Time

The index, called K6SUM42, is a summation of the values of the six variables above. The higher the value of K6SUM42, the greater the person’s tendency towards mental disability is.

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Patient Health Questionnaire (PHQ-2)

The 2005 SAQ includes two additional new mental health questions. These questions assess the frequency of the person’s depressed mood and decreased interest in usual activities.

ADINTR42 -	During the past two weeks, bothered by having little interest or pleasure in doing things
ADDPRS42 -	During the past two weeks, bothered by feeling down, depressed, or hopeless

HQ242 is a summation of the values of the two variables above, with scores ranging from 0 through 6. The higher the value of PHQ242, the greater the person’s tendency towards depression is. Kroenke et al. (2004) suggest a score of 3 as the optimal cutpoint for screening purposes. Note that these items are intended as a screening measure for depression and are not equivalent to a DSM-IV diagnosis of depression.

Attitudes about Health

The SAQ included four questions that ascertain certain health-related attitudes. Two items (ADINSA42 and ADINSB42) deal with attitudes toward health insurance. The other two questions (ADRISK42 and ADOVER42) deal with attitudes that might influence decisions to purchase health insurance or to use health services. These items were used in the 1987 National Medical Expenditure Survey. No editing has been performed for these items.

ADINSA42 -	Do not need health insurance
ADINSB42 -	Health insurance is not worth the money it costs
ADRISK42 -	More likely to take risks than the average person
ADOVER42 -	Can overcome illness without help from a medically trained person

Please note that the weighted frequencies displayed in the HC-097 codebook for the health status variables collected in the SAQ and DCS (as designated in the variable labels) are based on the full-year 2005 person weight PERWT05F. However, when using these variables in analysis, weights specific to each of these sets of questions should be used (SAQWT05F, DIABW05F). For persons who are not assigned a positive SAQ weight, the SAQ variables are recoded to “Inapplicable” (-1). Please see section “3.0. Survey Sample Information” for details.

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2.6.5.10 Diabetes Care Survey (DCS)

The Diabetes Care Survey (DCS), a self-administered paper-and-pencil questionnaire, was fielded during Panel 9, Round 5 and Panel 10, Round 3. Households received a DCS based on their response to DIABDX53 in the Priority Condition section of the CAPI instrument, which asks whether the respondent was ever told by a doctor or health professional that he/she had diabetes. The DCS asks the same question with responses summarized in the variable DSDIA53. DSDIA53 confirms that the respondent has ever been told by a health professional that he/she had diabetes or sugar diabetes. For a small number of cases DIABDX53 =YES (1) but DSDIA53 = NO (2). These people do not have a positive DCS weight. The DCS data are unedited, and, therefore, these and other data inconsistencies remain in the data. For all persons 17 years of age or younger, all the DCS variables are set to “Inapplicable” (-1) because there is not an appropriate weight included on the file to make national estimates for this population.

DSA1C53 and DSCKFT53 indicate the number of times the respondent reported having a hemoglobin A-one-C blood test and his/her feet checked for sores or irritations in 2005, respectively. DSEY0653, DSEY0553, DSEY0453, DSEB0453 and DSEYNV53 indicate the last time the respondent reported having an eye exam in which the pupils were dilated: in 2006, in 2005, in 2004, before 2004, or never, respectively. DSKIDN53 and DSEYPR53 ascertain whether the diabetes has caused kidney or eye problems, respectively. DSDIET53, DSMED53 and DSINSU53 indicate if the respondent reported being treated for his/her diabetes by the following methods: diet, oral medications or insulin, respectively. Note that, prior to 2005, DSA1C53 did not reflect whether the person had a hemoglobin A-one-C blood test, only whether the person had a hemoglobin A-one-C test. Also new in 2005 are four variables that assess different ways the person with diabetes can learn about diabetes care: PHONE53 (learned care over the phone), NURSE53 (learned care from a nurse), VISIT53 (learned care during a home visit), and REFER53 (learned care from a specialist). Also new in 2005 are two variables that indicate how long it has been since the person’s last cholesterol check (CHLCHK53) and how long it has been since the person’s last flu shot (FLSHOT53).

If a respondent was unable to respond to the DCS, the questionnaire was completed by a proxy (DSPRX53 = 1). A special weight variable (DIABW05F) has been designed to be used with DCS data. This weight adjusts for DCS nonresponse and weights to the number of diabetics in the US civilian noninstitutionalized population in 2005 (see section “3.0. Survey Sample Information” for details).

Please note that the weighted frequencies displayed in the HC-097 codebook for the health status variables collected in the SAQ and DCS (as designated in the variable labels) are based on the full-year 2005 person weight PERWT05F. However, when using these variables in analysis, weights specific to each of these sets of questions should be used (SAQWT05F, DIABW05F). For persons who are not assigned a positive DCS weight, the DCS variables are recoded to “Inapplicable” (-1). Please see section “3.0. Survey Sample Information” for details.

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2.6.6 Disability Days Indicator Variables (DDNWRK31- OTHNDD53)

The Disability Days section of the core interview contains questions about time lost from work or school and days spent in bed because of a physical illness or injury, or a mental or emotional problem. Data were collected on each individual in the household. These questions were repeated in each round of interviews; this file contains data from Rounds 3, 4, and 5 of the MEPS Panel 9 initiated in 2004 and Rounds 1, 2, and 3 of the MEPS Panel 10 initiated in 2005 respectively. The number at the end of the variable name (31, 42 or 53) identifies the rounds in which the information was collected.

The reference period for these questions is the time period between the beginning of the panel or the previous interview date and the current interview date. In order to establish the length of a round, analysts are referred to the variables that indicate the beginning date and ending date of each round (BEGRFD##, BEGRFM##, BEGRFY##, ENDRFD##, ENDRFM##, and ENDRFY##). Analysts should be aware that Round 3 is conducted across years. Starting in 2003, the Disability Days variables reflect only the data pertinent to the calendar year (i.e., the current delivery year of 2005). Previously, some data from Round 3 pertained to the following year. Analysts who are interested in examining disability days data across years can link to other person-level PUFs using the DUPERSID.

The flow of the Disability Days section relies on the person’s age as of the interview date. Therefore, the round-specific constructed age variables (AGE31X, AGE42X, and AGE53X) are used to construct the comparable round-specific Disability Days PUF variables. Due to the age-specific nature of the Disability Days section, age data from other rounds are not used should the person’s age for the round be missing.

The variables DDNWRK31, DDNWRK42 and DDNWRK53 represent the number of times the respondent lost a half-day or more from work because of illness, injury or mental or emotional problems during Rounds 31, 42, and 53, respectively. A response of "no work days lost" was coded zero; if the respondent did not work, these variables were coded -1 (Inapplicable). The analyst should note that there are cases where

EMPST## = 1 or 3 (has current job or job to return to) where DDNOWORK indicates work around the house only. This is because the responses to the Disability Days questions are independent of the responses to the employment questions. Respondents who were less than 16 years old or whose age is missing (AGE##X is set to -1) were not asked about work days lost, thus these variables are also coded -1 (Inapplicable).

WKINBD31, WKINBD42 and WKINBD53 represent the number of work days lost during each round in which the respondent spent at least half of the day in bed. These questions were asked only of persons aged 16 and over. Persons aged 15 or younger and persons whose age is missing received a code of -1 (Inapplicable). If a respondent answered the preceding work loss question with "zero days" or "does not work", then the corresponding WKINBD question was coded as -1 (Inapplicable).

DDNSCL31, DDNSCL42 and DDNSCL53 indicate the number of times that a respondent missed a half-day or more of school during Rounds 31, 42, or 53, respectively. These questions were asked of persons aged 3 to 22; respondents aged less than 3 or older than 22 and persons whose age is missing did not receive these questions and are coded as -1 on these variables (in a small number of cases this was not done for the 1996 data, the analyst will need to make this edit when doing longitudinal analyses). A code of -1 also indicates that the person does not attend school. The analyst should be aware that there was no attempt to reconcile school days lost with the time of year (e.g., summer vacation). In order to establish time of year, analysts are referred to the variables that indicate the beginning date and ending date of each round (BEGRFD##, BEGRFM##, BEGRFY##, ENDRFD##, ENDRFM##, and ENDRFY##).

SCLNBD31, SCLNBD42 and SCLNBD53 represent the number of school days lost during each round in which the individual spent at least a half-day in bed. Respondents aged less than 3 or older than 22 and persons whose age is missing did not receive these questions and are coded as -1 on these variables (in a small number of cases this was not done for the 1996 data, the analyst will need to make this edit when doing longitudinal analyses). If a respondent answered the preceding school days lost question with "zero days" or "does not attend school", then the corresponding SCLNBD question is coded as -1 (Inapplicable).

DDBDYS31, DDBDYS42 and DDBDYS53 represent additional days, other than school or work days, in which the respondent spent at least half a day in bed, because of a physical illness, injury or a mental or emotional problem. These are the only indicators of disability days for persons who do not work or go to school. This question was not asked of children less than one year of age and persons whose age is missing (coded -1).

A final set of variables indicate if an individual took a half-day or more off from work to care for the health problems of another individual in the family. OTHDYS31, OTHDYS42, and OTHDYS53 indicate if a person missed work because of someone else's illness, injury or health care needs, for example to take care of a sick child or relative. These variables each have three possible answers: yes - missed work to care for another (coded 1); no – did not miss work to care for another (coded 2); or the person does not work (coded 2), based on responses to the DDNWRK variable for the same round. Respondents younger than 16 and persons whose age is missing were not asked these questions and are coded as -1 (in a small number of cases this was not done for the 1996 data, the analyst will need to make this edit when doing longitudinal analyses).

OTHNDD31, OTHNDD42 and OTHNDD53 indicate the number of days during each round in which work was lost because of another's health problem. Respondents younger than 16, those whose age is missing, those who do not work, and those who answer "no" to OTHDYS are skipped out of OTHNDD and receive codes of -1.

Note that, because Disability Days variables use only those Round 3 data pertinent to the data year, it is possible to have person report missing work to care for the health problems of another individual (OTHDYS## = 1) but report no days missed (OTHNDD## = 0). This combination indicates that the person did not miss those work days during the data year. For OTHDYS31, a value of ‘0’ indicates that the person missed no work during the 2005 portion of Panel 9 Round 3 (i.e. any missed work days reported here occurred in the 2004 portion of Panel 9 Round 3). For OTHDYS53, a value of ‘0’ indicates that the person missed no work during the 2005 portion of Panel 10 Round 3 (i.e. any missed work days reported here occurred in the 2006 portion of Panel 10 Round 3).

Editing was done on these variables to preserve the skip patterns. No imputation was done for those with missing data.

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2.6.7 Access to Care Variables (ACCELI42- PMDLPR42)

The variables ACCELI42 through PMDLPR42 describe data from the Access to Care (AC) section of the MEPS HC questionnaire, which was administered in Panel 9 Round 4 and Panel 10 Round 2. This supplement serves a number of purposes in the MEPS HC by gathering information on five main topic areas: family members’ origins and preferred languages; family members’ usual source of health care; characteristics of usual source of health care providers; satisfaction with and access to the usual source of health care provider; and access to medical treatment, dental treatment, and prescription medicines. The variable ACCELI42 indicates whether persons were eligible to receive the Access to Care questions. Persons with ACCELI42 set to ‘-1’ (Inapplicable) should be excluded from estimates made with the Access to Care data.

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2.6.7.1 Family Members’ Origins and Preferred Languages

The AC section ascertains what language is most often spoken at home (LANGHM42) and, for those households that prefer to speak Spanish or another language other than English (LANGHM42 = 2 or 3), whether all members of the household are comfortable speaking English (ENGHME42). If not all persons in the household are comfortable speaking English, the AC section asks which person is not comfortable conversing in English (ENGSPK42).

Analysts also examining 2002 data should note that, in 2002, the variable ENGSPK42 indicated the persons who were comfortable speaking English. Due to a change to the survey in 2003, ENGSPK42 now indicates those persons who are not comfortable speaking English. Therefore, ENGSPK42 = 1 (YES) in 2002 is the same as ENGSPK42 = 2 (NO) in 2003 through the present, and ENGSPK42 = 2 (NO) in 2002 is the same as ENGSPK42 = 1 (YES) in 2003 through the present.

Foreign born status (USBORN42) and number of years in the US (USLGLV42) are not available for 2005 due to the narrow population for which the data were gathered by CAPI (i.e., only those persons who are selected as being not comfortable speaking English). These variables will be released in future public use files when the related questions (AC03 and AC04) are asked of a broader population (i.e., all persons who are eligible for the Access to Care section).

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2.6.7.2 Family Members' Usual Source of Health Care

For each individual family member, the AC section ascertains whether there is a particular doctor's office, clinic, health center, or other place that the individual usually goes to if he/she is sick or needs advice about his/her health (HAVEUS42).

YNOUSC42 indicates the main reason why a person does not have a usual source of care (USC) provider. For those family members who do not have a USC provider, question AC07 ascertains the main reason why. The variable YNOUSC42 has the following possible values:

1 Seldom or Never Sick

2 Recently Moved to Area

3 Don’t Know Where to Go

4 USC in Area Not Available

5 Can’t Find Provider Who Speaks Language

6 Goes Different Places for Diff Needs

7 Just Changed Insurance Plans

8 Don’t Use Docs/Treat Self

9 Cost of Medical Care

91 Other Reason

These values reflect the answer categories given at AC07. If persons choose ‘91’ (Other Reason) at AC07, they are asked at AC07OV to provide a verbal explanation of what the main reason is that they do not have a USC provider. These “text strings” can be recoded to one of the existing categorical values listed above or, if the frequency of the response warrants it, additional categorical values. Recoding is described in greater detail below.

Family members without a USC provider are then asked AC08, which ascertains whether there are any additional reasons why. The person may choose one or more reasons. A variable is constructed for each reason why:

NOREAS42 No Other Reason

SELDSI42 Seldom or Never Sick

NEWARE42 Recently Moved to Area

DKWHRU42 Don’t Know Where to Go

USCNOT42 USC in Area Not Available

PERSLA42 Can’t Find Provider Who Speaks Language

DIFFPL42 Goes Different Places For Diff Needs

INSRPL42 Just Changed Insurance Plans

MYSELF42 Don’t Use Docs/Treat Self

CARECO42 Cost of Medical Care

OTHREA42 Other Reason

These variables reflect the answer categories given at AC08. If persons choose ‘91’ (Other Reason) at AC08, they are asked at AC08OV to provide a verbal explanation of what the additional reason is that they do not have a USC provider. These “text strings” can be recoded to one of the existing yes/no variables listed above or, if the frequency of response warrants it, an additional yes/no variable. Recoding is described in greater detail below.

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2.6.7.3 Characteristics of Usual Source of Health Care Providers

The AC section collects information about the different characteristics of each unique USC provider for a given family. If the person does not have a USC provider (HAVEUS42 is set to ‘2’ (No), ‘-7’ (Refused), ‘-8’ (Don’t Know) or ‘-9’ (Not Ascertained)), then these variables are set to ‘-1’ (Inapplicable).

The basis for the AC provider questions is PROVTY42. This variable indicates whether the person’s provider is a facility (1), a person (2), or a person-in-facility (3). PROVTY42 is a copy of PROVTYPE (Provider Type) for persons who have a USC provider. For facility type providers, FACLPR42 indicates whether the person sees a particular provider at the facility.

Depending on how PROVTY42 is set, persons are asked about the provider’s location, the provider’s personal characteristics (e.g., race), the provider’s accessibility, and the person’s satisfaction with the provider.

Provider Location

Two variables indicate the location of the provider. For a facility and a person-in-facility type providers, PLCTYP42 indicates whether the person’s facility is a Hospital Clinic/Outpatient Department (1), a Hospital Emergency Room (2), or a Non-Hospital Place (3). According to CAPI flow, persons do not report the type of facility for person-type providers. Therefore, if PROVTY42 is set to ‘2’ (Person), PLCTYP42 is set to ‘-1’ (Inapplicable). For all provider types, including person-type, LOCATN42 indicates whether the person’s provider is located in an Office (1), a Hospital but Not the Emergency Room (2), or a Hospital Emergency Room (3).

Personal Characteristics of Providers

For person and person-in-facility type providers, TYPEPE42 indicates what type of doctor or other medical provider the person’s provider is. The possible values include:

1 MD – General/Family Practice

2 MD – Internal Medicine

3 MD – Pediatrics

4 MD – OB/Gyn

5 MD – Surgery

6 MD – Other

7 Chiropractor

8 Nurse

9 Nurse Practitioner

10 Physician’s Assistant

11 Other Non-MD Provider

12 Unknown

TYPEPE42 is constructed using variables collected at several questions: AC15 “Is provider a medical doctor?” (PROV.MEDTYPE); AC16 “Is provider a nurse, nurse practitioner, physician’s assistant, midwife, or some other kind of person?” (PROV.OTHTYPE); and AC17 “What is provider’s specialty?” (PROV.MDSPECLT). If persons choose ‘91’ (Other) at AC16 or AC17, they are asked at AC16OV or AC17OV, respectively, to provide a verbal explanation of the type of provider or medical doctor. These “text strings” can be recoded to one of the existing categorical values listed above or, if the frequency of the response warrants it, additional categorical values. Recoding is described in greater detail below.

The AC section also collects demographic information about person and person-in-facility type providers (PROVTY42 = 2 or 3). Six variables indicate the provider’s race: WHITPR42 (white), BLCKPR42 (black/African American), ASIANP42 (Asian), NATAMP42 (Indian/ Native American/Alaska Native), PACISP42 (Other Pacific Islander) and OTHRCP42 (Other Race). The person may choose more than one race for a single provider. These variables reflect the answer categories given at AC19. If persons choose ‘91’ (Some Other Race) at AC19, they are asked AC19OV to provide a verbal explanation of the provider’s race. These “text strings” can be recoded to one of the existing yes/no variables listed above or, if the frequency of response warrants it, an additional yes/no variable. Recoding is described in greater detail below.

In addition to the race variables, two other demographic variables are created: HSPLAP42 indicates whether the provider is Hispanic or Latino, and GENDRP42 indicates whether the provider is Male (1) or Female (2).

Using Constructed Variables to Describe the Usual Source of Care Provider

These variables describing a person’s USC provider can be used in combination to present a broader picture of the provider. For example, a person-in-facility provider with a particular person named who is a white, Hispanic, female pediatrician, with no other race specified; and whose location is in an office in a hospital is coded as:

PROVTY42 = 3

FACLPR42 = 1

PLCTYP42 = 1

TYPEPE42 = 3

HSPLAP42 = 1

WHITPR42 = 1

BLCKPR42 = 2

ASIANP42 = 2

NATAMP42 = 2

PACISP42 = 2

OTHRCP42 = 2

GENDRP42 = 2

LOCATN42 = 1

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2.6.7.4 Access to and Satisfaction with the Provider

The AC section collects information regarding the person’s ability to access the USC provider as well as the person’s satisfaction with the USC provider.

Access to the Provider

Two variables describe the person’s method of traveling to the USC provider. GOTOUS42 indicates how the person travels to the USC provider: ‘Drives’ (1), ‘Is Driven’ (2), ‘Taxi, Bus, Train, Other Public Transportation’ (3), or ‘Walks’ (4). TMTKUS42 indicates how long it takes the person to travel to the USC provider: ‘Less Than 15 Minutes’ (1), ‘15 to 30 Minutes’ (2), ‘31 to 60 Minutes’ (3), ‘61 to 90 Minutes’ (4), ‘91 Minutes to 120 Minutes’ (5), or ‘More than 120 Minutes’ (6).

OFFHOU42, DFTOUS42, PHNREG42, and AFTHOU42 assess aspects of the provider that may make it difficult for the person to get in contact with the USC provider. OFFHOU42 indicates whether the provider has office hours at night or on the weekend. The remaining three variables reflect the person’s rating of the difficulty of accessing the USC provider by travel (DFTOUS42), by phone (PHNREG42), and after hours (AFTHOU42). The person has the following choices: ‘Very Difficult’ (1), ‘Somewhat Difficult’ (2), ‘Not Too Difficult’ (3), or ‘Not at All Difficult’ (4).

Satisfaction with the Provider

These variables reflect the person’s confidence in and satisfaction with the USC provider. Four different facets of the person’s level of confidence in the USC provider are examined: Is the provider the person or place family members would go to for new health problems (MINORP42), preventive health care (PREVEN42), referrals to other health professionals (REFFRL42), or ongoing health problems (ONGONG42). The person’s level of satisfaction with the USC provider is examined in six ways: Does the USC provider generally listen to the person and seek the person’s advice when choosing between treatments (TREATM42), ask about and show respect for treatments other doctors may give the person (RESPCT42), ask the person to help make decisions (DECIDE42), explain options to the person (EXPLOP42), and speak the person’s language or provide translator services (LANGPR42) if the person prefers to speak in a language other than English (LANGHM42 is set to 2 (Spanish) or 3 (Another Language)). In 2003, all household members who share a USC provider and who live in a household where at least one person was not comfortable speaking English (ENGSPK42 = 2) had LANGPR42 set. Starting in 2004, only those persons who are not comfortable speaking English (ENGSPK42 = 1) have LANGPR42 set.

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2.6.7.5 Access to Medical Treatment, Dental Treatment, and Prescription Medicines

Finally, the Access to Care supplement gathers information on family members’ abilities to receive treatment and receive it without delay. These questions are split into three sections inquiring about medical, dental, and prescription medicine treatments. Each section inquires whether the person was unable to receive treatment (MDUNAB42, DNUNAB42, PMUNAB42) or was delayed in receiving treatment (MDDLAY42, DNDLAY42, PMDLAY42). A value of ‘1’ (Yes) for these two sets of variables indicates that the person needed treatment but was unable to receive it or was delayed in receiving it. A value of ‘2’ (No) for these two sets of variables indicates that either the person did not need treatment or the person needed treatment and was able to receive it without delay. If the person was unable to receive treatment, he/she was asked why (MDUNRS42, DNUNRS42, PMUNRS42). Persons were also asked why they were delayed in receiving treatment (MDDLRS42, DNDLRS42, PMDLRS42). Possible reasons include:

1 Could Not Afford Care

2 Ins Co Would Not Approve/Cover/Pay

3 Doctor Refused Family Ins Plan

4 Problems Getting To Doctor’s Office

5 Different Language

6 Could Not Get Time Off Work

7 DK Where To Go To Get Care

8 Was Refused Services

9 Could Not Get Child Care

10 Did Not Have Time or Took Too Long

91 Other

Finally, persons are also asked how much of a problem not receiving treatment (MDUNPR42, DNUNPR42, PMUNPR42) or being delayed in receiving treatment (MDDLPR42, DNDLPR42, PMDLPR42) was.

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2.6.7.6 Editing the Access to Care Variables

Editing consisted primarily of logical editing for consistency with skip patterns. Other editing included the construction of new response values and new variables describing the recoding of several "other specify" text items into existing or new categorical values, which are described below.

In previous years, not all variables or categories that appear in the Access to Care section of the HC questionnaire are included on the file, as some small cell sizes have been suppressed to maintain respondent confidentiality. No variables or categories were suppressed in 2005.

2.6.7.7 Recoding of Additional Other Specify Text Items

For Access to Care items AC07, AC08, AC16, AC17, and AC19, the other specify text responses were reviewed and coded as an existing or new value for the related categorical variable (for AC07, AC16, and AC17), or coded as an existing or new “yes/no” variable (for items AC08 and AC19). Note that, starting in 2005, additional categories and variables will be retained for low frequency responses to allow for pooling data.

The following are the new codes or variables which were created from these other specify text responses.

For item AC07 (“What is the main reason person does not have a usual source of health care”) - the following new values were constructed for the variable YNOUSC42:

10 Other Insurance Related Reason

11 Job-Related Reasons

12 Looking for a New Doctor

13 Doctor is Located Elsewhere

14 Don’t Like/Don’t Trust Doctors

15 Health-Related Reasons

16 Newborn-No Doctor Yet

17 Self, Relative, or Friend is a Doctor

19 Care Available on Job

20 Will Not Go to the Doctor

21 Problems with Time and Transportation

22 Person Goes to a Hospital, Clinic, or Emergency Room

For item AC08 (“What are the other reasons person does not have a usual source of health care”) – the following new variables were constructed:

OTHINS42 for other insurance reasons;

JOBRSN42 for job-related reasons;

NEWDOC42 is looking for a doctor;

DOCELS42 doctor is located elsewhere;

NOLIKE42 does not like doctor;

HEALTH42 health-related reasons;

KNOWDR42 the person knows or is a doctor;

ONJOB42 works with medical personnel;

NOGODR42 person will not go to the doctor;

TRANS42 the person had problems finding transportation or time;

CLINIC42 the person goes to a hospital, clinic, or emergency room.

OTHTYPE and MDSPECLT are used to construct the variable TYPEPE42. Unlike the other recoded variables, these variables’ text strings can be recoded to each other’s categories. For example, for persons who indicate that their USC provider is not a medical doctor (PROV.MEDTYPE = 2), the other type of USC provider is other (PROV.OTHTYPE = 91), and the text string collected is “GYNECOLOGIST”, TYPEPE42 would be set to ‘4’ (MD – OB/GYN) instead of ‘11’ (OTHER NON-MD PROVIDER.)

The 2005 data also warranted ten additional categories for TYPEPE42:

13 MD – Cardiologist

14 Doctor of Osteopathy

15 MD – Endocrinologist

16 MD – Gastroenterologist

17 MD – Geriatrician

18 MD – Nephrologist

19 MD – Oncologist

20 MD – Pulmonologist

21 MD – Rheumatologist

22 Psychiatrist/Psychologist

23 MD – Neurologist

Text responses at AC19 were not coded as new responses or new variables.

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2.6.8 Employment Variables (EMPST31-YNOINS53)

Employment questions were asked of all persons 16 years and older at the time of the interview. Employment variables consist of person-level indicators such as employment status and job-related variables such as hourly wage. All job-specific variables refer to a person’s current main job. The current main job, defined by the respondent, indicates the main source of employment.

Most employment variables pertain to the round interview date. The round dates are indicated by two numbers following the variable name; the first number representing the round for Panel 9 persons, the second number representing the round for Panel 10 persons. For example, EMPST31 refers to employment status on the Round 3 interview date for Panel 9 persons and employment status on the Round 1 interview date for Panel 10 persons.

With the exception of some health insurance variables, no attempt has been made to logically edit any employment variables. When missing, values were imputed for certain persons’ hourly wages; however, there was no editing performed on any values reported by the respondent. Due to confidentiality concerns, hourly wages greater than or equal to $72.12 were top-coded to –10 and the number of employees variable was top-coded at 500. With the exception of a variable indicating whether the employer has more than one location (MORE), all employer-specific variables refer to the establishment that is the location of a person’s current main job.

The MEPS employment section used dependent interviewing in Rounds 2 through 5. If employment status and certain job characteristics did not change from the previous round, as identified in the review of employment section, the respondent was skipped through the main employment section. A code of “–2” is used to indicate that the information in question was obtained in a previous round. For example, if the HRWG42X (Round 4 interview date hourly wage for Panel 9 persons or Round 2 interview date hourly wage for Panel 10 persons) is coded as “–2”, refer to HRWG31X (Round 3 interview date hourly wage for Panel 9 persons or Round 1 interview date hourly wage for Panel 10 persons) for the value for HRWG42X. Note that there may be a value for the Round 3/1 hourly wage or there may be an “Inapplicable” code (-1). The “–2” value for HRWG42X simply indicates that the person was skipped past the question at the time of the subsequent interview. To determine who should be skipped through various employment questions, certain information, such as employment status, had to be asked in every round and, thus, “-2” codes do not apply to employment status. Additionally, information on whether the person currently worked at more than one job or whether the person held health insurance from a current main employer was asked in every round, and, therefore, those variables also have no “–2” codes.

For Panel 9 persons who have a current main job in Round 3 that continues from Round 1 or 2, the “–2” code is not sufficient for those variables that the person was skipped past at the time of the interview. This is because the Panel 9 Round 1 and 2 data are not included on this release and therefore there are no data to which to refer. For such persons, the values for the variables for these skipped questions are copied from the Round 1 or 2 constructed variable on the 2004 Full Year Public Use Release, depending on the round in which the job first became the current main job. The accompanying variable RNDFLG31 indicates the round in which these data were collected. For example, if the person has a Round 3 current main job that continues from Round 2 and was first reported as the current main job in Round 2, HRWG31X will be a copy of the HRWG42X variable from the 2004 Full Year Public Use Release and RNDFLG31 will be “2”, indicating the round in which the job was first reported as the current main job.

Employment Status (EMPST31, EMPST42, and EMPST53)

Employment status was asked for all persons age 16 or older. Allowable responses to the employment status questions were as follows:

“currently employed” if the person had a job at the interview date;
“has a job to return to” if the person did not work during the reference period but had a job to return to as of the interview date;
“employed during the reference period” if the person had no job at the interview date but did work during the round;
“not employed with no job to return to” if the person did not have a job at the interview date, did not work during the reference period, and did not have a job to which he or she could return.

These responses were mutually exclusive. A current main job was defined for persons who either reported that they were currently employed and identified a current main job or who reported and identified a job to return to. Therefore, job-specific information such as hourly wage exists for persons not presently working at the interview date but who have a job to return to as of the interview date.

The analyst should note that there are cases where EMPST## = 1 or 3 (has current job or job to return to) where DDNOWORK indicates work around the house only. This is because the responses to the Disability Days questions are independent of the responses to the employment questions.

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Data Collection Round for Round 3/1 CMJ (RNDFLG31)

As mentioned above, for Panel 9, if a person’s Round 3 current main job (CMJ) is a continuation CMJ from Round 2 or Round 1, the value of most “31” variables will be copied forward from the variable representing the round in which the job was first reported as the CMJ. For persons in Panel 9, RNDFLG31 indicates the round in which the Round 3 CMJ was first reported as the CMJ and provides a timeframe for the reported wage information and other job details. RNDFLG31 is used with many “31” variables to indicate the round on which the reported information is based.

RNDFLG31 is set to “Inapplicable” (–1) for persons in either panel who are under age 16 or who do not have a CMJ in Panel 9 Round 3 or Panel 10 Round 1. For persons who are part of Panel 9, RNDFLG31 is also set to “Inapplicable” (–1) if the person is out-of-scope in the 2005 portion of Round 3. For persons who are part of Panel 10, RNDFLG31 is also set to “Inapplicable” (–1) if the person is out-of-scope in Round 1. For persons who are part of Panel 9, other values for RNDFLG31 are set

1	continuing Round 3 CMJs reported first in Round 1;
2	continuing Round 3 CMJs reported first in Round 2;
3	jobs newly reported as current main in Round 3;
-9	Round 3 CMJ is a continuation CMJ (wage information and other details were not collected in Round 3) but the Round 2 CMJ record either does not exist or is not the same job. This can occur in rare instances because corrections made to a person’s record in a current file cannot be made to that record in an earlier file due to data base processing constraints. Corrections are made based on respondent comments in subsequent rounds that affect employment information previously reported.

For persons who are part of Panel 10 and reported a Round 1 CMJ, RNDFLG31 is set to “1” indicating that the job information represented in the “31” variables was collected in Round 1.

Self-employed (SELFCM31, SELFCM42, and SELFCM53)

Information on whether an individual was self-employed at the current main job was obtained for all persons who reported a current main job. Certain questions, namely those regarding benefits and hourly wage, were not asked of the self-employed. Variables constructed from these questions indicate whether the establishment reported by wage earners (those not self-employed) as the main source of employment offered any of the following benefits:

Paid leave to visit a doctor (PAYDR31, PAYDR42, and PAYDR53)
Paid sick leave (SICPAY31, SICPAY42, and SICPAY53)
Paid vacation (PAYVAC31, PAYVAC42, and PAYVAC53)
Pension plan (RETPLN31, RETPLN42, and RETPLN53)

For persons who were self-employed at their current main job, these benefits variables were coded as “Inapplicable” (-1). Additionally, information on whether the firm had more than one business location (MORE31, MORE42, and MORE53) and whether the establishment was a private for-profit, nonprofit, or a government entity (JOBORG31, JOBORG42, and JOBORG53) was not applicable for self-employed persons. Conversely, the variables that identify whether a business was incorporated, a proprietorship, or a partnership (BSNTY31, BSNTY42, and BSNTY53) applied only to those who were self-employed at their current main job.

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Hourly wage (HRWG31X, HRWG42X, HRWG53X), Wage Update Variable (DIFFWG31, DIFFWG42, DIFFWG53), and Updated Hourly Wage (NHRWG31, NHRWG42, NHRWG53)

Hourly wage was asked of all persons who reported a current main job that was not self-employment (SELFCM). This initial report of a wage is reflected on the variables HRWG31X, HRWG42X, and HRWG53X. The 2005 Full-Year Use PUF also includes a variable, NHRWG31/42/53, to indicate a reported change in the wage at a person’s current main job. The variables DIFFWG31, DIFFWG42, and DIFFWG53 indicate if a wage at a person’s current main job has changed in the round.

Some wage information was logically edited for consistency. Edits were performed in cases where a respondent updates a wage, indicating that the amount reported in a previous round was in error, and then provides the corrected amount for the previous round.

The initial hourly wage variables (HRWG31X, HRWG42X, HRWG53X) on this file should be considered along with their accompanying variables – HRHOW31, HRHOW42, and HRHOW53 – which indicate how the respective round hourly wage was constructed. Hourly wage could be derived, as applicable, from a large number of source variables. In the simplest case, hourly wage was reported directly by the respondent. For other persons, construction of the hourly wage was based upon salary, the time period on which the salary was based, and the number of hours worked per time period. If the number of hours worked per time period was not available, a value of 40 hours per week was assumed, as identified in the HRHOW variable.

The initial hourly wage variable HRWG31/42/53X was imputed using a weighted sequential hot-deck procedure for those identified as having a current main job who were not self-employed and who did not know their wage or refused to report a wage. Hourly wage for persons for whom employment status was not known was coded as “Not Ascertained” (-9). Additionally, wages were imputed for wage earners reporting a wage range and not a specific value. For each of these persons, a value was imputed from other persons on the file who did report a specific value that fell within the reported range. The variables HRWGIM31, HRWGIM42, and HRWGIM53 identify persons whose wages were imputed. Note that wages were imputed only for persons with a positive person and/or positive family weight.

The variable DIFFWG31/42/53 indicates whether a person’s wage amount was different in the current round at a continuing, current main job. NHRWG31/42/53 contains the updated wage amount in cases where a person indicates a change in wages (DIFFWG = 1). While the question regarding wage changes pertains to the primary wage at the main job, occasionally respondents update their supplemental wage at the main job. In these cases, users should note that HRWG31/42/53X and NHRWG31/42/53 may not differ. Users may wish to refer to the 2005 Full-Year Jobs PUF to obtain the reason for the wage change by linking on DUPERSID for the appropriate round.

For all Panel 10 Round 1 persons, DIFFWG31 and NHRWG31 are set to ‘inapplicable’ because this was the first round that wages could be reported for those persons. In Rounds 2 through 5, no imputation was performed on NHRWG31/42/53. Instead, where an updated wage amount is ‘not known’ or is ‘refused,’ NHRWG31/42/53 is set to ‘not ascertained.’ For persons whose hourly wage variable HRWG31/42/53X was imputed and the respondent provides an updated wage amount in a subsequent round, the new wage, NHRWG31/42/53, is not presented. Instead, NHRWG31/42/53 is set to ‘-13’ to indicate that the initial HRWG31/42/53X was imputed. Users may wish to refer to the 2005 Full-Year Jobs PUF to obtain updated wage amounts for these jobs.

For reasons of confidentiality, the hourly wage variables were top-coded. A value of –10 indicates that the hourly wage was greater than or equal to $72.12. As of Full-Year 2004, the wage top code process used the highest reported wage on the file for an individual regardless of whether it was reported in an HRWG31/42/53X or NHRWG31/42/53X variable. Prior to Full-Year 2004, only the initial reported wage in Rounds 3 or 1 (HRWG31X) was used to calculate the wage top code amount. Also beginning with the 2004 file, all wages for a person were top coded if any wage variable was above the top code amount.

In order to protect the confidentiality of persons across deliveries, the same top code amount used in this Full-Year Use file was also applied to the Full-Year 2005 Jobs file. Because a person can have other jobs besides a current main job which are included in the corresponding 2005 Full Year Jobs PUF, wages at these other jobs had to be reviewed in the top coding process. In some cases for these persons, wages reported at the current main job were below the top-code amount while the wage at another job had to be top coded. To further protect the confidentiality of such persons across deliveries, wages reported at all jobs in the Full-Year 2005 Jobs PUF were top coded and the wages at their current main job (HRWG31/42/53X and NHRWG31/42/53) included in this file were also top coded.

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Health Insurance (HELD31X, HELD42X, HELD53X, OFFER31X, OFFER42X, OFFER53X, CHOIC31, CHOIC42, CHOIC53, DISVW31X, DISVW42X, DISVW53X, OFREMP31, OFREMP42, OFREMP53, YNOINS31, YNOINS42, YNOINS53)

There are several employment-related health insurance measures included in this release: health insurance held at a current main job (HELD31X, HELD42X, HELD53X), health insurance offered through a current main job (OFFER31X, OFFER42X, OFFER53X), and a choice of health plans available through the current main job (CHOIC31, CHOIC42, CHOIC53).

Several persons indicated that they held health insurance through a current main job in the employment section and then denied this coverage later in the interview in the health insurance section. Employment section health insurance HELD variables were edited for consistency to match the health insurance measures obtained in the health insurance section. To allow for easy identification of these individuals, round-specific flag variables were constructed (DISVW31X, DISVW42X, DISVW53X).

Responses in the employment section for health insurance held were recoded to be consistent with the variables in the health insurance section of the survey. Due to questionnaire skip patterns, the responses to health insurance offered were affected by editing the HELD variable. For example, if a person responded that health insurance was held from a current main job, the question relating to whether health insurance was offered was skipped. For persons who responded in the employment section that they held health insurance coverage and then disavowed the coverage in the health insurance section, it could not be ascertained whether they were offered a policy. These individuals are coded as –9 for the OFFER variables.

In the first round in which a person is reported as having a specific CMJ, MEPS asks if the person holds health insurance through that job. If the person does not hold insurance, then a follow-up question is asked as to whether the person was offered insurance (but declined coverage). However, if a person does hold insurance, then that person is skipped over the offered question and the offer variable (OFFER31X, OFFER42X, OFFER53X) is automatically set to “Yes” (1).

In the rounds after a CMJ is initially reported, the “held” question is asked again in each interview (whether a person now holds insurance). This is to determine if there has been any change in coverage. Respondents with a continuing job who did not have coverage in the current round are asked if they were offered insurance. This current round information can also affect the setting of the DISVW variable as well.

In addition to this modification to OFFER, MEPS includes several clarifying questions regarding insurance availability to the jobholder through an employer. When a respondent indicates that the jobholder neither held nor was offered health insurance at the job, the respondent is asked if any other employees at the job were offered health insurance. The variable OFREMP31/42/53 indicates whether an employer offered health insurance to other employees at a firm. If a respondent indicates that other employees were eligible for health insurance, a follow-up question is asked to determine the reason the jobholder was not eligible for coverage. This information is contained in the YNOINS31/42/53 variable. The questions related to both of these variables are asked when a job is initially reported and also for subsequent rounds in which the job continues, as applicable.

Data users should note that OFREMP31/42/53 is automatically set to ‘1’ in cases where HELD and OFFER are ‘1,’ thus indicating that the jobholder has health insurance coverage through the employer, that coverage is offered to the employee, and that the employer offers insurance to its employees.

The employment-related insurance variables, HELD, OFFER, DISVW, OFREMP, and YNOINS, for each round are logically edited for consistency.

Hours (HOUR31, HOUR42, HOUR53)

The hours measure refers to usual hours worked per week at the current main job.

Temporary (TEMPJB31, TEMPJB42, TEMPJB53) and Seasonal (SSNLJB31, SSNLJB42, SSNLJB53) Jobs

The temporary job variables (TEMPJB31, TEMPJB42, TEMPJB53) indicate whether a current main job lasts for only a limited amount of time or until the completion of a project.

The seasonal job variables (SSNLJB31, SSNLJB42, SSNLJB53) indicate whether the CMJ is only available during certain times of the year. SSNLJB is “YES” (‘1’) if the job is year round; SSNLJB is “NO” (‘2’) if the job is only available during certain times of the year. Teachers and other school personnel who work only during the school year are considered to work year round.

Both variables are set on current main jobs whether a person is self-employed or not. Both are constructed based on questions that are round-specific, i.e., the questions are asked when a job is newly reported and when it is reviewed in subsequent rounds, even when the job ends in that round.

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Number of Employees (NUMEMP31, NUMEMP42, NUMEMP53)

NUMEMP indicates the number of employees at the location of the person’s current main job. Due to confidentiality concerns, this variable indicating the number of employees at the establishment has been top coded at 500 or more employees. For persons who reported a categorical size, a median estimated size from donors within the reported range is used.

Other Employment Variables

Information about industry and occupation types for a person’s current main job at the interview date is also contained in this release. Based on verbatim text fields collected during the interview, numeric industry and occupation codes are assigned by trained coders at the Bureau of the Census. Census uses 2003 Census Industry and Occupation Coding schemes, which were developed for the Bureau’s Current Population Survey and American Community Survey. Users should note that FY2005 coding is comparable to the FY2002 through FY2004 coding, but not coding prior to FY2002.

Current main jobs were initially coded at the 4-digit level for both industry and occupation. Then, for confidentiality reasons, these codes were condensed into broader groups for release on the file. INDCAT31, INDCAT42, and INDCAT53 represent the condensed industry codes for a person’s current main job at the interview date. OCCCAT31, OCCCAT42, and OCCCAT53 represent the condensed occupation codes for a person’s current main job at the interview date.

This release incorporates crosswalks showing how the detailed 2003 Census industry and occupation codes were collapsed into the condensed codes on the file, in both HTML and PDF formats. The same type of crosswalk is included for the pre-2002 file condensed codes, collapsed from the 1990 Census categories.

Information indicating whether a person belonged to a labor union (UNION31, UNION42, and UNION53) is also contained in this release.

The day, month, and year that the current main job started for Rounds 3, 4, and 5 of Panel 9 and Rounds 1, 2, and 3 of Panel 10 are provided in this release (STJBDD31, STJBMM31, STJBYY31, STJBDD42, STJBMM42, STJBYY42, STJBDD53, STJBMM53, and STJBYY53).

There are two measures included in this release that relate to a person’s work history over a lifetime. One indicates whether a person ever retired from a job as of the Round 5 interview date for Panel 9 persons or the Round 3 interview date for Panel 10 persons (EVRETIRE). The other indicates whether a person ever worked for pay as of the Round 5 interview date for Panel 9 persons or the Round 3 interview date for Panel 10 persons (EVRWRK). The latter was asked of everyone who indicated that they were not working as of the round interview date. Therefore, anyone who indicated current employment or who had a job during any of the previous or current rounds was skipped past the question identifying whether the person ever worked for pay. These individuals were coded as “Inapplicable” (-1). All persons who ever reported a job and were 55 years or older as of the round interview date were asked if they “ever retired”. Since both of these variables are not round specific, there are no “–2” codes.

This release contains variables indicating the main reason a person did not work since the start of the reference period (NWK31, NWK42, and NWK53). If a person was not employed at all during the reference period (at the interview date or at any time during the reference period) but was employed some time prior to the reference period, the person was asked to choose from a list the main reason he or she did not work during the reference period. The “Inapplicable” (-1) category for the NWK variables includes:

Persons who were employed during the reference period;
Persons who were not employed during the reference period and who were never employed;

Persons who were out-of-scope the entire reference period and;
Persons who were less than 16 years old.

A measure of whether an individual had more than one job on the round interview date (MORJOB31, MORJOB42, and MORJOB53) is provided on this release. In addition to those under 16 and those individuals who were out-of-scope, the “Inapplicable” category includes those who did not report having a current main job. Because this is not a job-specific variable, there are no “–2” codes.

This release contains variables indicating if a current main job changed between the third and fourth rounds for Panel 9 persons or between the first and second rounds for Panel 10 persons (CHGJ3142) and between the fourth and fifth rounds for Panel 9 persons or between the second and third rounds for Panel 10 persons (CHGJ4253). In addition to the “Inapplicable”, “Refused”, “Don’t Know”, and “Not Ascertained” categories, the change job variables were coded to represent the following:

person left previous round current main job and now has a new current main job;
person still working at the previous round’s current main job but, as of the new round, no longer considers this job to be the current main job and defines a new main job (previous round’s current main job is now a current miscellaneous job);
person left previous round’s current main job and does not have a new job;
person did not change current main job.

Finally, this release contains the reason given by the respondent for the job change (YCHJ3142 and YCHJ4253). The reasons for a job change were listed in the CAPI questionnaire and a respondent was asked to choose the main reason from this list. In addition to those out-of-scope, those under 16, and those not having a current main job, the “Inapplicable” category for YCHJ3142 and YCHJ4253 includes workers who did not change jobs.

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2.6.9 Health Insurance Variables (TRIJA05X-PMEDIN53)

2.6.9.1 Monthly Health Insurance Indicators (TRIJA05X-INSDE05X)

Constructed and edited variables are provided that indicate any coverage in each month of 2005 for the sources of health insurance coverage collected during the MEPS interviews (Panel 9, Rounds 3 through 5 and Panel 10, Rounds 1 through 3). In Rounds 2, 3, 4, and 5, insurance that was in effect at the previous round’s interview date was reviewed with the respondent. Most of the insurance variables have been logically edited to address issues that arose during such reviews in Rounds 2, 3, 4, and 5. One edit to the private insurance variables corrects for a problem concerning covered benefits that occurred when respondents reported a change in any of their private health insurance plan names. Additional edits address issues of missing data on the time period of coverage for both public and private coverage that was either reviewed or initially reported in a given round. Additional edits, described below, were performed on the Medicare and Medicaid or State Children’s Health Insurance Program (SCHIP) variables to assign persons to coverage from these sources. Observations that contain edits assigning persons to Medicare or Medicaid/SCHIP coverage can be identified by comparing the edited and unedited versions of the Medicare and Medicaid/SCHIP variables. Starting October 1, 2001, persons 65 years and older have been able to retain TRICARE coverage in addition to Medicare. Therefore, unlike in earlier MEPS public use files, persons 65 years and older do not have their reported TRICARE coverage (TRIJA05X – TRIDE05X) overturned. TRICARE acts as a supplemental insurance for Medicare, similar to Medigap insurance.

Public sources include Medicare, TRICARE, Medicaid, SCHIP, and other public hospital/physician coverage. State-specific program participation in non-comprehensive coverage (STAJA05– STADE05) was also identified but is not considered health insurance for the purpose of this survey.

Medicare

Medicare (MCRJA05 – MCRDE05) coverage was edited (MCRJA05X – MCRDE05X) for persons age 65 or over. Within this age group, individuals were assigned Medicare coverage if:

They answered "Yes" to a follow-up question on whether they received Social Security benefits; or
They were covered by Medicaid/SCHIP, other public hospital/physician coverage or Medigap coverage; or
Their spouse was age 65 or over and covered by Medicare; or
They reported TRICARE coverage.

Note that age (AGE##X) is checked for edited Medicare, however date of birth is not considered. Edited Medicare is somewhat imprecise with regard to a person’s 65th birthday.

Medicaid/SCHIP and Other Public Hospital/Physician Coverage

Questions about other public hospital/physician coverage were asked in an attempt to identify Medicaid or SCHIP recipients who may not have recognized their coverage as such. These questions were asked only if a respondent did not report Medicaid or SCHIP directly. Respondents reporting other public hospital/physician coverage were asked follow-up questions to determine if their coverage was through a specific Medicaid HMO or if it included some other managed care characteristics. Respondents who identified managed care from either path were asked if they paid anything for the coverage and/or if a government source paid for the coverage.
The Medicaid/SCHIP variables (MCDJA05– MCDDE05) have been edited (MCDJA05X – MCDDE05X) to include persons who paid nothing for their other public hospital/physician insurance when such coverage was through a Medicaid HMO or reported to include some other managed care characteristics.
To assist users in further editing sources of insurance, this file contains variables constructed from the other public hospital/physician series that measure whether:

The respondent reported some type of managed care and paid something for the coverage, Other Public A Insurance (OPAJA05 – OPADE05); and
The respondent did not report any managed care, Other Public B Insurance (OPBJA05 – OPBDE05).

The variables OPAJA05 – OPADE05 and OPBJA05 – OPBDE05 are provided only to assist in editing and should not be used to make separate insurance estimates for these types of insurance categories.

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Any Public Insurance in Month

The file also includes summary measures that indicate whether or not a sample person has any public insurance in a month (PUBJA05X – PUBDE05X). Persons identified as covered by public insurance are those reporting coverage under TRICARE, Medicare, Medicaid or SCHIP, or other public hospital/physician programs. Persons covered only by state-specific programs that did not provide comprehensive coverage (STAJA05 – STADE05), for example, the Maryland Kidney Disease Program, were not considered to have public coverage when constructing the variables PUBJA05X – PUBDE05X.

Private Insurance

Variables identifying private insurance in general (PRIJA05 – PRIDE05) and specific private insurance sources [such as employer/union group insurance (PEGJA05 – PEGDE05); non-group (PNGJA05 – PNGDE05); and other group (POGJA05 – POGDE05)] were constructed. Private insurance sources identify coverage in effect at any time during each month of 2005. Separate variables identify covered persons and policyholders (policyholder variables begin with the letter "H", e.g., HPEJA05 – HPEDE05). These variables indicate coverage or policyholder status within a source and do not distinguish between persons who are covered or are policyholders on one or more than one policy within a given source. In some cases, the policyholder was unable to characterize the source of insurance (PDKJA05 – PDKDE05). Covered persons (but not policyholders) are identified when the policyholder is living outside the RU (POUJA05 – POUDE05). An individual was considered to have private health insurance coverage if, at a minimum, that coverage provided benefits for hospital and physician services (including Medigap coverage). Sources of insurance with missing information regarding the type of coverage were assumed to contain hospital/physician coverage. Persons without private hospital/physician insurance were not counted as privately insured. Coverage indicated by these variables may be from any type of job where the employment section insurance variables delivered on this file reflect only coverage through a current main job.
Health insurance through a job or union (PEGJA05 – PEGDE05, PRSJA05 – PRSDE05) was initially asked about in the Employment Section of the interview and later confirmed in the Health Insurance Section. Respondents also had an opportunity to report employer and union group insurance (PEGJA05 – PEGDE05) for the first time in the Health Insurance Section, but this insurance was not linked to a specific job.
All insurance reported to be through a job classified as self-employed with firm size of 1 (PRSJA05 – PRSDE05) was initially reported in the Employment Section and verified in the Health Insurance Section. Unlike the other employment-related variables (PEGJA05 – PEGDE05), self-employed-firm size 1 (PRSJA05 – PRSDE05) health insurance could not be reported in the Health Insurance section for the first time. The variables PRSJA05 – PRSDE05 have been constructed to allow users to determine if the insurance should be considered employment-related.
Private insurance that was not employment-related (POGJA05 – POGDE05, PNGJA05 – PNGDE05, PDKJA05 – PDKDE05 and POUJA05 – POUDE05) was reported in the Health Insurance section only.

Any Insurance in Month

The file also includes summary measures that indicate whether or not a person has any insurance in a month (INSJA05X – INSDE05X). Persons identified as insured are those reporting coverage under TRICARE, Medicare, Medicaid, SCHIP, or other public hospital/physician or private hospital/physician insurance (including Medigap plans). A person is considered uninsured if not covered by one of these insurance sources.
Persons covered only by state-specific programs that provide non-comprehensive coverage (STAJA05 – STADE05), for example, the Maryland Kidney Disease Program, and those without hospital/physician benefits (for example, private insurance for dental or vision care only, or for accidents or specific diseases) were not considered to be insured when constructing the variables INSJA05X – INSDE05X.

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2.6.9.2 Summary Insurance Coverage Indicators (PRVEV05 - INSCOV05)

The variables PRVEV05-UNINS05 summarize health insurance coverage for the person in 2005 for the following types of insurance: private (PRVEV05); TRICARE (TRIEV05); Medicaid or SCHIP (MCDEV05); Medicare (MCREV05); other public A (OPAEV05); other public B (OPBEV05). Each variable was constructed based on the values of the corresponding 12 month-by-month health insurance variables described above. A value of 1 indicates that the person was covered for at least one day of at least one month during 2005. A value of 2 indicates that the person was not covered for a given type of insurance for all of 2005. The variable UNINS05 summarizes PRVEV05-OPBEV05. Where PRVEV05-OPBEV05 are all equal to 2, then UNINS05 equals 1; person was uninsured for all of 2005. Otherwise, UNINS05 is set to 2, not uninsured for some portion of 2005. For persons not in scope for the full year these summary variables are based on the period of eligibility.

For user convenience this file contains a constructed variable INSCOV05 that summarizes health insurance coverage for the person in 2005, with the following three values:

1 = ANY PRIVATE (Person had any private insurance coverage [including TRICARE] any time during 2005)

2 = PUBLIC ONLY (Person had only public insurance coverage during 2005)

3 = UNINSURED (Person was uninsured during all of 2005)

Please note that INSCOV05 categorizes TRICARE as private coverage. All other health insurance indicators included in this data release categorize TRICARE as public coverage. If an analyst wishes to consider TRICARE public coverage, the variable can easily be reconstructed using the PRVEV05 and TRIEV05 variables. Also note that these categories are mutually exclusive, with preference given to private insurance and TRICARE. Persons with both private insurance/TRICARE and public insurance will be coded as “1” for INSCOV05.
Finally, note that out-of-scope persons are coded “2” (No) for PRVEV05-INSCOV05. For all other health insurance variables in this data release, out-of-scope persons are coded “-1” (Inapplicable).

2.6.9.3 FY 2005 PUF Managed Care Variables (TRIST31X-PRDRNP05)

In addition to the month-by-month indicators of coverage, there are 24 round-specific health insurance variables indicating coverage by an HMO or managed care plan. Managed care variables have been constructed from information on health insurance coverage at any time in a reference period and the characteristics of the plan. A separate set of managed care variables has been constructed for private insurance and Medicaid/SCHIP coverage. The purpose of these variables is to provide information on managed care participation during the portion of the three rounds (i.e., reference periods) that fall within the same calendar year.

Managed care variables for calendar year 2005 are based on responses to health insurance questions asked during the Round 3, 4, and 5 interviews of Panel 9, and the Round 1, 2, and 3 interviews of Panel 10. Each variable ends in "xy" where x and y denote the interview round for Panels 9 and 10, respectively. The variables ending in "31" and "42" correspond to the first two interviews of each panel in the calendar year. Because Round 3 interviews typically overlap the final months of one year and the beginning months of the next year, the "31" variables for Panel 9 have been restricted to the year 2005 portion of the reference period. Similarly, the Panel 9/Round 5 and Panel 10/Round 3 interviews have been restricted to the year 2005 portion of these reference periods, and the corresponding managed care variables have been given the suffix "05" (as opposed to "53") to emphasize the restricted time frame.

Construction of the managed care variables is straightforward, but three caveats are appropriate. First, MEPS estimates of the number of persons in HMOs are higher than figures reported by other sources, particularly those based on HMO industry data. The differences stem from the use of household-reported information, which may include respondent error, to determine HMO coverage in MEPS.

Second, the managed care questions are asked about the last plan held by a respondent through his or her establishment (employer or insurer) even though the person could have had a different plan through the establishment at an earlier point during the interview period. As a result, in instances where a respondent changed his or her establishment-related insurance, the managed care variables describe the characteristics of the last plan held through the establishment.

Third, the "05" versions of the managed care variables for Panel 10 are developed from Round 3 variables that cover different time frames. The health insurance variable for Round 3 is restricted to the same calendar year as the Round 1 and 2 data. The Round 3 variables describing plan type, on the other hand, overlap the next calendar year. As a consequence, the Round 3 managed care variables may not describe the characteristics of the last plan held in the calendar year if the person changed plans after the first of the year.

The variables PRVHMO31/42/05 and PRVMNC31/42/05 indicate coverage by a private HMO or gatekeeper plan in Panel 10, Rounds 1 - 3, and Panel 9, Rounds 3 - 5. The variables PRVDRL31/42/05 indicate coverage by a private insurance source that has a book or list of doctors in Panel 10, Rounds 1 – 3, and Panel 9, Rounds 3 – 5. The variables PRDRNP31/42/05 indicate coverage by at least one private insurance plan with a book or list of doctors that pays for visits to non-plan doctors in Panel 10, Rounds 1 – 3, and Panel 9, Rounds 3 – 5. The variables PHMONP31/42/05 indicate coverage by at least one private insurance source through an HMO that pays for visits to non-plan doctors in Panel 10, Rounds 1 – 3, and Panel 9, Rounds 3 – 5. Finally, the variables PMNCNP31/42/05 indicate coverage by at least one private insurance source through a Gatekeeper Plan that pays for visits to non-plan doctors in Panel 10, Rounds 1 – 3, and Panel 9, Rounds 3 – 5. The variables MCDHMO31/42/05 and MDCMC31/42/05 indicate coverage by a Medicaid or SCHIP HMO or managed care plan in Panel 10, Rounds 1 - 3, and Panel 9, Rounds 3 - 5. For Panel 10, the "31" version indicates coverage at any time in Round 1, the "42" version indicates coverage at any time in Round 2, and the "05" version represents coverage at any time during the 2005 portion of Round 3. For Panel 9, the "31" version indicates coverage at any time during the 2005 portion of Round 3, the "42" version indicates coverage at any time in Round 4, and the "05" version represents coverage at any time during Round 5 (because Round 5 ends on 12/31/05).

In the health insurance section of the questionnaire, respondents reporting private health insurance were asked to identify what types of coverage they had via a checklist. If they selected prescription drug or dental coverage from this checklist, variables were constructed to indicate prescription drug or dental coverage respectively. It should be noted, however, that in some cases respondents may have failed to identify prescription drug or dental coverage that was included as part of a hospital and physician plan.

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TRICARE Plan Variables

Round specific variables are provided that indicate which TRICARE plan the respondent was covered by for each round of 2005. These variables indicate whether the person was covered by TRICARE Standard (TRIST31/42/05X), TRICARE Prime (TRIPR31/42/05X), TRICARE Extra (TRIEX31/42/05X), and TRICARE for Life (TRILI31/42/05X). Beginning Panel 9 Rounds 4 and 5/Panel 10 Rounds 1 through 3, CHAMPVA was added to the list of Tricare Plans collected in the instrument. Therefore, the variables TRICH42/05X were created. The “31” version of this variable was not constructed in 2005, but will be constructed starting in 2006. It should be noted that the TRICARE Plan information was elicited from a pick-list, code all that apply, question that asked which type of TRICARE plan the person obtained. It should also be noted that the TRICARE plan question was asked at the RU-level, that is, if any person in the RU reported coverage under TRICARE, a follow-up question was asked to determine which TRICARE plan anyone in the RU was covered by. After indicating the specific TRICARE plan or plans for the RU, a second question was asked to determine who in the RU was covered by TRICARE. In each round, each TRICARE Plan variable has five possible values:

1	The person was covered by the applicable TRICARE plan [Standard, Prime, Extra, For Life, or CHAMPVA].
2	The person was covered by TRICARE, but it was not through that particular plan [Standard, Prime, Extra, For Life, or CHAMPVA].
3	The person was not covered by TRICARE.
-9	The person was covered by TRICARE but the plan type was not ascertained.
-1	The person was out-of-scope.

Medicaid/SCHIP Managed Care Plans

Persons were assigned Medicaid or SCHIP coverage based on their responses to the health insurance questions or through logical editing of the survey data. The number of persons who were edited to have Medicaid or SCHIP coverage is small, but they are comprised of two distinct groups of individuals. The first group includes persons in Other Government programs that were identified as being in a Medicaid HMO or gatekeeper plan that did not require premium payment from the insured party. By definition, this group was asked about the managed care characteristics of their insurance coverage. The second group includes a small number of persons who did not report public insurance, but were classified as Medicaid recipients because they reported receiving AFDC, SSI, or WIC. The health insurance plan type questions were not asked of this group. As a consequence, the plan type could be determined for some, but not all, respondents who were assigned Medicaid coverage through logical editing of the data.

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Medicaid/SCHIP HMOs

If Medicaid/SCHIP or Other Government programs were identified as the source of hospital/physician insurance coverage, the respondent was asked about the characteristics of the plan. The variables MCDHMO31, MCDHMO42, and MCDHMO05 have been set to "Yes" if the plan was identified from a list of state names or programs for Medicaid HMOs in the area, or if an affirmative response was provided to the following question:

Under {{Medicaid/{STATE NAME FOR MEDICAID}/the program sponsored by a state or local government agency which provides hospital and physician benefits} (are/is) (READ NAME(S) FROM BELOW) signed up with an HMO, that is a Health Maintenance Organization?

[With an HMO, you must generally receive care from HMO physicians. If another doctor is seen, the expense is not covered unless you were referred by the HMO, or there was a medical emergency.]

In subsequent rounds, respondents who had been previously identified as covered by Medicaid were asked whether the name of their insurance plan had changed since the previous interview. An affirmative response triggered the previous set of questions about managed care (name on list of Medicaid HMOs or signed up with an HMO).

In each round, the variables MCDHMO31, MCDHMO42, and MCDHMO05 have five possible values:

1	The person was covered by a Medicaid/SCHIP HMO.
2	The person was covered by Medicaid/SCHIP but the plan was not an HMO.
3	The person was not covered by Medicaid/SCHIP.
-9	The person was covered by Medicaid/SCHIP but the plan type was not ascertained.
-1	The person was out-of-scope.

Medicaid/SCHIP Gatekeeper Plans

If the respondent did not belong to a Medicaid/SCHIP HMO, a third question was used to determine whether the person was in a gatekeeper plan. The variables MCDMC31, MCDMC42, and MCDMC05 were set to "Yes" if the person provided an affirmative response to the following question:

Does {{Medicaid /{STATE NAME FOR MEDICAID}} require (READ NAME(S) BELOW) to sign up with a certain primary care doctor, group of doctors, or with a certain clinic which they must go to for all of their routine care?

Probe: Do not include emergency care or care from a specialist to which they were referred to.

In each round, the variables MCDMC31, MCDMC42, and MCDMC05 have five possible values:

1	The person was covered by a Medicaid/SCHIP gatekeeper plan.
2	The person was covered by Medicaid/SCHIP, but it was not a gatekeeper plan.
3	The person was not covered by Medicaid/SCHIP.
-9	The person was covered by Medicaid/SCHIP but the plan type was not ascertained.
-1	The person was out-of-scope.

Private Managed Care Plans

Persons with private insurance were identified from their responses to questions in the health insurance section of the MEPS questionnaire. In some cases, persons were assigned private insurance as a result of comments collected during the interview, but data editing was minimal. As a consequence, most persons with private insurance were asked about the characteristics of their plan, and their responses were used to identify HMO and gatekeeper plans.

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Private HMOs

Persons with private insurance were classified as being covered by an HMO if they met any of the three following conditions:

The person reported that his or her insurance was purchased directly through an HMO,
The person reporting private insurance coverage identified the type of insurance company as an HMO, or
The person answered "Yes" to the following question:

Now I will ask you a few questions about how (POLICYHOLDER)’s insurance through (ESTABLISHMENT) works for non-emergency care.

We are interested in knowing if (POLICYHOLDER)’s (ESTABLISHMENT) plan is an HMO, that is, a health maintenance organization. With an HMO, you must generally receive care from HMO physicians. For other doctors, the expense is not covered unless you were referred by the HMO or there was a medical emergency. Is (POLICYHOLDER)’s (INSURER NAME) an HMO?

In subsequent rounds, policyholders were asked whether the name of their insurance plan had changed since the previous interview. An affirmative response triggered the detailed question about managed care (i.e., was the insurer an HMO).

Some insured persons have more than one private plan. In these cases, if the policyholder identified any plan as an HMO, the variables PRVHMO31, PRVHMO42, and PRVHMO05 were set to "Yes." If a person had multiple plans and one or more were identified as not being an HMO and the other(s) had missing plan type information, the person-level variable was set to missing. Additionally, if a person had multiple plans and none were identified as an HMO, the person-level variable was set to "No." In each round, the variables PRVHMO31, PRVHMO42, and PRVHMO05 have five possible values:

1	The person was covered by a private HMO.
2	The person was covered by private insurance, but it was not an HMO.
3	The person was not covered by private insurance.
-9	The person was covered by private insurance, but the plan type was not ascertained.
-1	The person was out-of-scope.

Private Gatekeeper Plans

If the respondent did not report belonging to a private HMO, a follow-up question was used to determine whether the person was in a gatekeeper plan. Persons with private insurance were classified as being covered by a gatekeeper plan if the person provided an affirmative response to the following question:

(Do/Does) (POLICYHOLDER)’s insurance plan require (POLICYHOLDER) to sign up with a certain primary care doctor, group of doctors, or a certain clinic which (POLICYHOLDER) must go to for all of (POLICYHOLDER)’s routine care?

Probe: Do not include emergency care or care from a specialist you were referred to.

Some insured persons have more than one private plan. In these cases, if the policyholder identified any plan as a gatekeeper plan, the variables PRVMNC31, PRVMNC42, and PRVMNC05 were set to "Yes." If a person had multiple plans and one or more were identified as not being a gatekeeper plan and the other(s) had missing plan type information, the person-level variable was set to missing. Additionally, if a person had multiple plans and none were identified as a gatekeeper plan, the person-level variable was set to "No". In each round, the variables PRVMNC31, PRVMNC42, and PRVMNC05 have five possible values:

1	The person was covered by a private gatekeeper plan.
2	The person was covered by private insurance, but it was not a gatekeeper plan.
3	The person was not covered by private insurance.
-9	The person was covered by private insurance, but the plan type was not ascertained.
-1	The person was out-of-scope.

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Private Plan that has a Book or List of Doctors

If the respondent did not report belonging to a private gatekeeper plan, a follow-up question was used to determine whether the person belonged to a plan that had a book or list of doctors. Persons with private insurance were classified as being covered by such a plan if the person provided an affirmative response to the following question:

Is there a book or list of doctors associated with the plan?

Some insured persons have more than one private plan. In these cases, if the policyholder identified any plan that had a book or list of doctors, the variables PRVDRL31, PRVDRL42, and PRVDRL05 were set to "Yes". If a person had multiple plans and one or more were identified as not being a plan that had a book or list of doctors and the other(s) had missing information, the person-level variable was set to missing. Additionally, if a person had multiple plans and none were identified as a plan that had a book or list of doctors, the person-level variable was set to "No". In each round, the variables PRVDRL31, PRVDRL42, and PRVDRL05 have five possible values:

1	The person was covered by a private insurance plan that has a book or list of doctors.
2	The person was covered by private insurance, but it did not have a book or list of doctors.
3	The person was not covered by private insurance.
-9	The person was covered by private insurance but the plan type was not ascertained.
-1	The person was out-of-scope.

Private HMO Plans that Pay for Visits to Non-Plan Doctors

If the respondent reported that they belong to a private HMO plan, a follow up question was used to determine whether the person was in a plan that pays for visits to non-plan doctors. Persons with private HMO insurance were classified as being covered by a plan that pays for visits to non-plan doctors if the person provided an affirmative response to the following question:

Will (POLICYHOLDER)’s plan pay for any of the costs of visits to doctors who are not associated with (POLICYHOLDER)’s plan, even if (POLICYHOLDER) (do/does) not have a referral?

Some insured persons have more than one private plan. In these cases, if the policyholder identified any plan as an HMO plan that pays for visits to non-plan doctors, the variables PHMONP31, PHMONP42, and PHMONP05 were set to "Yes". If a person had multiple plans and one or more were identified as being an HMO plan that does not pay for visits to non-plan doctors and the other(s) had missing information, the person-level variable was set to missing. Additionally, if a person had multiple plans and one or more were identified as being an HMO but none were identified as an HMO plan that pays for visits to non-plan doctors, the person-level variable was set to "No". In each round, the variables PHMONP31, PHMONP42, and PHMONP05 have four possible values:

1	Person was covered by at least one private insurance source through an HMO, and the HMO pays for visits to non-plan doctors.
2	Person was covered by at least one private insurance source through an HMO, but the HMO does not pay for visits to non-plan doctors.
-9	Person was covered by private insurance through an HMO and whether the HMO covers visits to non-plan doctors was refused, don’t know, or not ascertained.
-1	Person was out-of-scope for the round, was not privately insured at any time in the round, or was not covered by private insurance through an HMO.

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Private Gatekeeper Plans that Pay for Visits to Non-Plan Doctors

If the respondent reported that they belong to a private gatekeeper plan, a follow up question was used to determine whether the person was in a plan that pays for visits to non-plan doctors. Persons with private gatekeeper insurance were classified as being covered by a plan that pays for visits to non-plan doctors if the person provided an affirmative response to the following question:

Will (POLICYHOLDER)’s plan pay for any of the costs of visits to doctors who are not associated with (POLICYHOLDER)’s plan, even if (POLICYHOLDER) (do/does) not have a referral?

Some insured persons have more than one private plan. In these cases, if the policyholder identified any plan as a gatekeeper plan that pays for visits to non-plan doctors, the variables PMNCNP31, PMNCNP42, and PMNCNP05 were set to "Yes." If a person had multiple plans and one or more were identified as being a gatekeeper plan that does not pay for visits to non-plan doctors and the other(s) had missing information, the person level variable was set to missing. Additionally, if a person had multiple plans and one or more was identified as being a gatekeeper plan, but none were identified as a gatekeeper plan that pays for visits to non-plan doctors, the person level variable was set to "No." In each round, the variables PMNCNP31, PMNCNP42, and PMNCNP05 have four possible values:

1	Person was covered by at least one private insurance source through a Gatekeeper Plan, and the plan pays for visits to non-plan doctors.
2	Person was covered by at least one private insurance source through a Gatekeeper Plan, but the plan does not pay for visits to non-plan doctors.
-9	Person was covered by private insurance through a Gatekeeper Plan, and whether the plan covers visits to non-plan doctors was refused, don’t know, or not ascertained.
-1	Person was out-of-scope for the round, was not privately insured at any time in the round, or was not covered by private insurance through a Gatekeeper Plan.

Private Plan that has a Book or List of Doctors that Pays for Non-Plan Visits

If the respondent reported that they belong to a plan that had a book or list of doctors, a follow up question was used to determine whether the person was in a plan that pays for visits to non-plan doctors. Persons with a private insurance plan that has a book or list of doctors were classified as being covered by a plan that pays for visits to non-plan doctors if the person provided an affirmative response to the following question:

Will (POLICYHOLDER)’s plan pay for any of the costs of visits to doctors who are not associated with (POLICYHOLDER)’s plan, even if (POLICYHOLDER) (do/does) not have a referral?

Some insured persons have more than one private plan. In these cases, if the policyholder identified any plan as a plan that had a book or list of doctors and that pays for visits to non-plan doctors, the variables PRDRNP31, PRDRNP42, and PRDRNP05 were set to "Yes." If a person had multiple plans and one or more were identified as being a plan that had a book or list of doctors that does not pay for visits to non-plan doctors and the other(s) had missing information, the person-level variable was set to missing. Additionally, if a person had multiple plans and one or more were identified as being a plan with a book of list of doctors, but none were identified as a plan that had a book or list of doctors that pays for visits to non-plan doctors, the person-level variable was set to "No." In each round, the variables PRDRNP31, PRDRNP42, and PRDRNP05 have four possible values:

1	Person was covered by at least one private insurance plan with a book or list of doctors, and the plan pays for visits to non-plan doctors.
2	Person was covered by at least one private insurance plan with a book or list of doctors, but the plan does not pay for visits to non-plan doctors.
-9	Person was covered by at least one private insurance plan with a book or list of doctors, and whether the plan covers visits to non-plan doctors was refused, don’t know, or not ascertained.
-1	Person was out-of-scope for the round, was not privately insured at any time in the round, or was not covered by any private insurance plan with a book or list of doctors.

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2.6.9.4 Unedited Health Insurance Variables (PREVCOVR-INSENDYY)

Duration of Uninsurance

If a person was identified as being without insurance as of January 1st in the MEPS Round 1 interview, a series of follow-up questions were asked to determine the duration of uninsurance prior to the start of the MEPS survey. Persons who were insured as of the MEPS Round 1 interview, and persons with a date of birth on or after December 31, 2004 or whose age category was less than 1 year old were skipped past this loop of questions. These questions are asked in Round 1 only.

If the person said he/she was covered by insurance in the two years prior to the MEPS Round 1 interview (PREVCOVR), the month, year (COVRMM, COVRYY), and type of coverage (Employer-sponsored (WASESTB), Medicare (WASMCARE), Medicaid/SCHIP (WASMCAID), TRICARE/CHAMPVA (WASCHAMP), VA/Military Care (WASVA), Other public (WASOTGOV, WASAFDC,WASSSI, WASSTAT1-4, WASOTHER) or Private coverage purchased through a group, association or insurance company (WASPRIV)) was ascertained. Note that under the types of coverage, up to 4 state programs (WASSTAT1-4) can be listed as response options, but only the number of programs available in the state in which the RU is located (up to 4) will be displayed. If the state in which the RU is located has less than 4 state programs available, the remaining state programs will be -1 (Inapplicable). The only exception is if the response is Refused (-7) or Don't Know (-8). In that case, WASTAT1-4 are all coded with the same missing value, regardless of the number of plans available in that specific state. Note that this is a code all that apply question, so more than one source of previous insurance can be selected. For persons who were covered by health insurance on January 1st, it was ascertained if they were ever without health insurance in the previous year (NOINSBEF). The number of weeks/months without health insurance was also ascertained (NOINSTM, NOINUNIT). For persons who reported only non-comprehensive coverage as of January 1st, a question was asked to determine if they had been covered by more comprehensive coverage that paid for medical and doctors’ bills in the previous two years (MORECOVR). If they were, the most recent month and year of coverage was ascertained (INSENDMM, INSENDYY) as was the type of coverage (see the variable names above).

Note that these variables are unedited and have been taken directly as they were recorded from the raw data. There may be inconsistencies with the health insurance variables released on public use files that indicate that an individual is uninsured in January. Out-of-scope persons in both panels and all persons in Panel 9 have been set to “Inapplicable” (-1) for PREVCOVR – INSENDYY. All other persons have PREVCOVR – INSENDYY copied directly from the value of the unedited source variable.

Persons whose January 1st insurance coverage status could not be determined due to their reference period beginning after January 1st were also asked the follow-up questions described above. In these cases, persons who reported comprehensive coverage were asked if they were ever without insurance. Those who were uninsured were asked to determine the duration of uninsurance prior to the start of their reference period. Those who reported only non-comprehensive coverage were asked if they had been covered by comprehensive coverage that paid for medical and doctors’ bills in the previous two years. Coverage is determined by health insurance status during the whole reference period or the month of January and ignores that these persons were not in the household on January 1st.

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2.6.9.5 Health Insurance Coverage Variables – At Any Time/At Interview Date/At 12-31 Variables (TRICR31X - EVRUNAT)

Constructed and edited variables are provided that indicate health insurance coverage at any time in a given round as well as at the MEPS interview dates and on December 31, 2005. Note that for respondents who left the RU before the MEPS interview date or before December 31st, the variables measuring coverage at the interview date or on December 31st represent coverage at the date the person left the RU. In addition, since Round 5 only covers the time period from the Round 4 interview date up to December 31st, values for the December 31st variables are equivalent to those for Round 5 variables for Panel 9 members.

The health insurance variables are constructed for the sources of health insurance coverage collected during the MEPS interviews (Panel 9, Rounds 3 through 5 and Panel 10, Rounds 1 through 3). Note that the Medicare variables on this file as well as the private insurance variables that indicate the particular source of private coverage (rather than any private coverage) only measure coverage at the interview date and on December 31st. Users should also note that the same general editing rules were followed for the month-by-month health insurance variables released on this public use file (see section 2.6.9 for details). Editing programs checking for consistencies between these sets of variables were developed in order to provide as much consistency as possible between the round-specific indicators and the month-by-month indicators of insurance.

Public sources include Medicare, TRICARE, Medicaid/SCHIP, and other public hospital/physician coverage. State-specific program participation in non-comprehensive coverage was also identified but is not considered health insurance for the purpose of this survey.

Medicare

Medicare coverage variables (MCARE31, MCARE42, MCARE53 and MCARE05) and the edited versions of these variables (MCARE31X, MCARE42X, MCARE53X and MCARE05X) were constructed similarly to the month-by-month Medicare variables.

Medicaid/SCHIP and Other Public Hospital/Physician Coverage

Medicaid/SCHIP variables (MCAID31, MCAID42, MCAID53, MCAID05) and the edited versions of these variables (MCAID31X, MCAID42X, MCAID53X, MCAID05X, MCDAT31X, MCDAT42X, MCDAT53X, MCDAT05X) were constructed similarly to the month-by-month Medicaid/SCHIP variables.

Other Public A variables (OTPUBA31, OTPUBA42, OTPUBA53, OTPUBA05; and OTPAAT31, OTPAAT42, OTPAAT53, OTPAAT05) were constructed similarly to the month-by-month Other Public variables

Any Public Insurance

Any public insurance variables (PUB31X, PUB42X, PUB53X, PUB05X, PUBAT31X, PUBAT42X, PUBAT53X, and PUBAT05X) and state-specific programs that provide non-comprehensive coverage variables (STAPR31, STAPR42, STAPR53, STAPR05, STPRAT31, STPRAT42, STPRAT53, and STPRAT05) were constructed similarly to the month-by-month any public insurance and state-specific program variables.

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Private Insurance

Variables identifying private insurance in general (PRIV31, PRIV42, PRIV53, PRIV05, PRIVAT31, PRIVAT42, PRIVAT53, PRIVAT05) and specific private insurance sources (such as employer/union group insurance [PRIEU31, PRIEU42, PRIEU53, PRIEU05]; coverage through a job classified as self-employed with firm size of 1 [PRIS31, PRIS42, PRIS53, PRIS05]; non-group coverage [PRING31, PRING42, PRING53, PRING05]; other group coverage (PRIOG31, PRIOG42, PRIOG53, PRIOG05], coverage through an unknown private category [PRIDK31, PRIDK42, PRIDK53, PRIDK05]; and coverage from a policyholder living outside the RU [PROUT31, PROUT42, PROUT53, PROUT05]) were constructed similarly to the month-by-month variables in section 2.6.9.1. Variables indicating any private insurance coverage are available for the following time periods: at any time in a given round, at the interview date and on December 31st. The variables for the specific sources of private coverage are only available for coverage on the interview dates and on December 31st.

Any Insurance in Period

Any insurance variables (INS31X, INS42X, INS53X, INS05X, INSAT31X, INSAT42X, INSAT53X, and INSAT05X) and state-specific programs that provide non-comprehensive coverage variables (STAPR31, STAPR42, STAPR53, STAPR05, STPRAT31, STPRAT42, STPRAT53, and STPRAT05) were constructed similarly to the month-by-month any insurance and state-specific program variables.

Ever Uninsured in Period

The variable EVRUNINS indicates whether a person was ever uninsured on the interview date or on 12/31. If the person is uninsured on the interview date/on 12/31 for any round that they were in-scope (INS##X = 2), EVRUNINS is coded as “Yes” (1). If the person is insured on the interview date/on 12/31 for all rounds that they were in-scope (INS##X = 1), EVRUNINS is coded as “No” (2). The variable EVRUNAT indicates whether a person was ever uninsured at any time in 2005. If the person is uninsured at any time in the round for any round that they were in-scope (INSAT##X = 2), EVRUNAT is coded as “Yes” (1). If the person is insured at any time in the round for all rounds that they were in-scope (INSAT##X = 1), EVRUNAT is coded as “No” (2). EVRUNINS and EVRUNAT are coded “Inapplicable” (-1) for persons who were out-of-scope for all rounds.

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2.6.9.6 Dental and Prescription Drug Private Insurance Variables (DENTIN31-PMEDIN53)

Dental Private Insurance Variables

Round specific variables (DENTIN31/42/53) are provided that indicate the respondent was covered by a private health insurance plan that included at least some dental coverage for each round of 2005. It should be noted that the information was elicited from a pick-list, code all that apply, question that asked what type of health insurance a person obtained through an establishment. The list included: hospital and physician benefits including coverage through an HMO, Medigap coverage, vision coverage, dental, and prescription drugs. It is possible that some dental coverage provided by hospital and physician plans was not independently enumerated in this question. Users should also note that persons with missing information on dental benefits for all reported private plans and those who reported that they did not have dental coverage for one or more plans but had missing information on other plans are coded as not having private dental coverage. Respondents who reported dental coverage from at least one reported private plan were coded as having private dental coverage.

Prescription Drug Private Insurance Variables

Round specific variables (PMEDIN31/42/53) are provided that indicate the respondent was covered by a private health insurance plan that included at least some prescription drug insurance coverage for each round of 2005. It should be noted that the information was elicited from a pick-list, code all that apply, question that asked what type of health insurance a person obtained through an establishment. The list included: hospital and physician benefits including coverage through an HMO, Medigap coverage, vision coverage, dental, and prescription drugs. It is possible some prescription drug coverage provided by hospital and physician plans was not independently enumerated in this question. Respondents who reported prescription drug coverage from at least one reported private plan were coded as having private prescription drug coverage. Users should note that persons with missing information on prescription drug benefits for all reported private plans and those who reported that they did not have prescription drug coverage for one or more plans but had missing information on other plans are coded as not having private prescription drug coverage.

Prescription Drug Usual Third Party Payer Variables

Round specific variables are provided that indicate whether the respondent has a usual third party payer for prescription medications (PMEDUP31/42/53), and if so, that type of payer (PMEDPY31/42/53). Only respondents that reported having at least one prescription medication purchase in the round are asked these questions. If the respondent answers affirmatively to PMEDUP31/42/53 they are then asked the name of their usual third party payer. These responses are coded into the following source of payment categories reported in the PMEDPY31/42/53: Private Insurance, Medicare, Medicaid, VA, Tricare/CHAMPVA, State/Local Government, and Other. Users should note that these questions are asked in the charge and payment section of the questionnaire, and that no attempt is made to reconcile the responses with information collected in the health insurance section of the questionnaire.

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2.6.9.7 Experiences with Public Plans Variables (GDCPBM42 – RTPLNT42)

The variables GDCPBM42 through RTPLNT42 contain responses to the satisfaction with plans supplement, which was administered in the second and fourth interviews of the MEPS HC. Question wording is based on questions in the Consumer Assessment of Healthcare Providers and Systems (CAHPS®), an AHRQ-sponsored family of survey instruments designed to measure quality from the consumer’s perspective. There are two sets of variables, one for TRICARE/CHAMPVA and the other for Medicaid, SCHIP, or other state or local government hospital/physician coverage, because families may have both types of insurance. Family respondents who reported any current family member had TRICARE/CHAMPVA in that round were asked about the family’s experiences with TRICARE/CHAMPVA. These family- (RU-) level responses do not vary across RU members with TRICARE/CHAMPVA at any time during the round; for RU members without TRICARE/CHAMPVA during the round, the values are set to inapplicable.

Family respondents who reported any current family member had Medicaid, SCHIP, or other state or local government hospital/physician coverage in that round were asked about the family’s experiences with that coverage. These RU-level responses do not vary across RU members who at any time during the round had Medicaid, SCHIP, or other state or local government hospital/physician coverage. For RU members without these types of public insurance during the round, the values are set to inapplicable.

The variables address the following topics: difficulty getting a personal doctor or nurse (GDCPBM42 and GDCPBT42), needing approval for treatment and delays associated with waiting for approval (APRTRM42, APRDLM42, APRTRT42, APRDLT42), looking for information on how plan works and problems finding information (LKINFM42, PBINFM42, LKINFT42, PBINFT42), calling customer service and problems getting help from customer service (CSTSVM42, PBSVCM42, CSTSVT42, PBSVCT42), filling out paperwork for the plan and problems with the paperwork (PPRWKM42, PBPWKM42, PPRWKT42, PBPWKT42), rating of experience with plan (RTPLNM42 and RTPLNT42).

Variables for experiences with private plans are on the 2005 Person Round Plan file, PUF HC-095. On that file, each person has a separate record for each private plan, and each record has variables with the family’s experiences with that specific plan.

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2.6.10 Utilization, Expenditures and Source of Payment Variables (TOTTCH05-RXOSR05)

The MEPS Household Component (HC) collects data in each round on use and expenditures for office- and hospital-based care, home health care, dental services, vision aids, and prescribed medicines. Data were collected for each sample person at the event level (e.g., doctor visit, hospital stay) and summed across Rounds 3-5 for Panel 9 (excluding 2004 events covered in Round 3) and across Rounds 1-3 for Panel 10 (excluding 2006 events covered in Round 3) to produce the annual utilization and expenditure data for 2005. In addition, the MEPS Medical Provider Component (MPC) is a follow-back survey that collected data from a sample of medical providers and pharmacies that were used by sample persons in 2005. Expenditure data collected in the MPC are generally regarded as more accurate than information collected in the HC and were used to improve the overall quality of MEPS expenditure data in this file (see below for description of methodology used to develop expenditure data).

This file contains utilization and expenditure variables for several categories of health care services. In general, there is one utilization variable (based on HC responses only), 13 expenditure variables (derived from both HC and MPC responses), and one charge variable for each category of health care service. The utilization variable is typically a count of the number of medical events reported for the category. The 13 expenditure variables consist of an aggregate total payments variable, 10 main component source of payment category variables, and two additional source of payment category variables (see below for description of source of payment categories). Expenditure variables for all categories of health care combined are also provided. These variables generally represent a full year of use and expenditures. However, for persons who were not is scope for the entire year, these variables reflect the period of eligibility.

The table in Appendix 1 provides an overview of the utilization and expenditure variables included in this file. For each health service category, the table lists the corresponding utilization variable(s) and provides a general key to the expenditure variable names (13 per service category). The first three characters of the expenditure variable names reflect the service category (except only two characters for prescription medicines) while the subsequent three characters (*** in table) reflect the naming convention for the source of payment categories described below (except only two characters for Veterans Administration). The last two positions of all utilization and expenditure variable names reflect the survey year (i.e., 05). More details are provided on the utilization and expenditure variables in sections 2.6.11.1 and 2.6.11.2 below.

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2.6.10.1 Expenditures Definition

Expenditures on this file refer to what is paid for health care services. More specifically, expenditures in MEPS are defined as the sum of direct payments for care provided during the year, including out-of-pocket payments and payments by private insurance, Medicaid, Medicare, and other sources. Payments for over-the-counter drugs are not included in MEPS total expenditures. Indirect payments not related to specific medical events, such as Medicaid Disproportionate Share and Medicare Direct Medical Education subsidies, are also not included.

The definition of expenditures used in MEPS is somewhat different from the 1987 NMES and 1987 NMCES surveys where charges rather than sum of payments were used to measure expenditures. This change was adopted because charges became a less appropriate proxy for medical expenditures during the 1990s due to the increasingly common practice of discounting charges. Another change from the two prior surveys is that charges associated with uncollected liability, bad debt, and charitable care (unless provided by a public clinic or hospital) are not counted as expenditures because there are no payments associated with those classifications.

While the concept of expenditures in MEPS has been operationalized as payments for health care services, variables reflecting charges for services received are also provided on the file (see below). Analysts should use caution when working with the charge variables because they do not typically represent actual dollars exchanged for services or the resource costs of those services.

Data Sources on Expenditures

The expenditure data included on this file were derived from the MEPS Household and Medical Provider Components. Only HC data were collected for nonphysician visits, dental and vision services, other medical equipment and services, and home health care not provided by an agency while data on expenditures for care provided by home health agencies were only collected in the MPC. In addition to HC data, MPC data were collected for some office-based visits to physicians (or medical providers supervised by physicians), hospital-based events (e.g., inpatient stays, emergency room visits, and outpatient department visits), and prescribed medicines. For these types of events, MPC data were used if complete; otherwise, HC data were used if complete. Missing data for events where HC data were not complete and MPC data were not collected or complete were derived through an imputation process (see below).

A series of logical edits were applied to both the HC and MPC data to correct for several problems including, but not limited to, outliers, copayments or charges reported as total payments, and reimbursed amounts that were reported as out-of-pocket payments. In addition, edits were implemented to correct for misclassifications between Medicare and Medicaid and between Medicare HMOs and private HMOs as payment sources. Data were not edited to insure complete consistency between the health insurance and source of payment variables on the file.

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Imputation for Missing Expenditures and Data Adjustments

Expenditure data were imputed to 1) replace missing data, 2) provide estimates for care delivered under capitated reimbursement arrangements, and 3) to adjust household- reported insurance payments because respondents were often unaware that their insurer paid a discounted amount to the provider. This section contains a general description of the approaches used for these three situations. A more detailed description of the editing and imputation procedures is provided in the documentation for the MEPS event-level files.

Missing data on expenditures were imputed using a weighted sequential hot-deck procedure for most medical visits and services. In general, this procedure imputes data from events with complete information to events with missing information but similar characteristics. For each event type, selected predictor variables with known values (e.g., total charge, demographic characteristics, region, provider type, and characteristics of the event of care, such as whether it involved surgery) were used to form groups of donor events with known data on expenditures, as well as identical groups of recipient events with missing data. Within such groups, data were assigned from donors to recipients, taking into account the weights associated with the MEPS complex survey design. Only MPC data were used as donors for hospital-based events while data from both the HC and MPC were used as donors for office-based physician visits. The general approach that was used to impute missing expenditure data on prescribed medicines is described in section 2.6.11.2 below.

Because payments for medical care provided under capitated reimbursement arrangements and through public clinics and Veterans’ Hospitals are not tied to particular medical events, expenditures for events covered under those types of arrangements and settings were also imputed. Events covered under capitated arrangements were imputed from events covered under managed care arrangements that were paid based on a discounted fee-for-service method, while imputations for visits to public clinics and Veterans’ Hospitals were based on similar events that were paid on a fee-for-service basis. As for other events, selected predictor variables were used to form groups of donor and recipient events for the imputations.

An adjustment was also applied to some HC reported expenditure data because an evaluation of matched HC/MPC data showed that respondents who reported that charges and payments were equal were often unaware that insurance payments for the care had been based on a discounted charge. To compensate for this systematic reporting error, a weighted sequential hot-deck imputation procedure was implemented to determine an adjustment factor for HC reported insurance payments when charges and payments were reported to be equal. As for the other imputations, selected predictor variables were used to form groups of donor and recipient events for the imputation process.

Methodology for Flat Fee Expenditures

Most of the expenditures for medical care reported by MEPS participants are associated with single medical events. However, in some situations there is one charge that covers multiple contacts between a medical provider and patient (e.g., obstetrician services, orthodontia). In these situations (generally called flat or global fees), total payments for the flat or global fee were included if the initial service was provided in 2005. For example, all payments for an orthodontist’s fee that covered multiple visits over three years were included if the initial visit occurred in 2005. However, if a visit in 2005 to an orthodontist was part of a flat fee in which the initial visit occurred in 2004, then none of the payments for the flat fee were included.

The approach used to count expenditures for flat fees may create what appear to be inconsistencies between utilization and expenditure variables. For example, if several visits under a flat fee arrangement occurred in 2005 but the first visit occurred in 2004, then none of the expenditures were included, resulting in low expenditures relative to utilization for that person. Conversely, the flat fee methodology may result in high expenditures for some persons relative to their utilization. For example, all of the expenditures for an expensive flat fee were included even if only the first visit covered by the fee had occurred in 2005. On average, the methodology used for flat fees should result in a balance between overestimation and underestimation of expenditures in a particular year.

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Zero Expenditures

There are some medical events reported by respondents where the payments were zero. This could occur for several reasons including (1) free care was provided, (2) bad debt was incurred, (3) care was covered under a flat fee arrangement beginning in an earlier year, or (4) follow-up visits were provided without a separate charge (e.g., after a surgical procedure). In summary, these types of events have no impact on the person-level expenditure variables contained in this file.

Source of Payment Categories

In addition to total expenditures, variables are provided that itemize expenditures according to the major source of payment categories. These categories are:

Out of pocket by patient or patient’s family (SLF);
Medicare (MCR);
Medicaid (MCD);
Private Insurance (PRV);
Veterans’ Administration, excluding CHAMPVA (VA);
TRICARE (TRI);
Other Federal Sources--includes Indian Health Service, Military Treatment Facilities, and other care provided by the Federal government (OFD);
Other State and Local Source--includes community and neighborhood clinics, State and local health departments, and State programs other than Medicaid (STL);
Worker’s Compensation (WCP);
Other Unclassified Sources--includes sources such as automobile, homeowner’s, liability, and other miscellaneous or unknown sources (OSR).

Two additional source of payment variables were created to classify payments for particular persons that appear inconsistent due to differences between the survey questions on health insurance coverage and sources of payment for medical events. These variables include:

Other Private (OPR) - any type of private insurance payments reported for persons not reported to have any private health insurance coverage during the year as defined in MEPS (i.e., for hospital and physician services); and
Other Public (OPU) - Medicaid payments reported for persons who were not reported to be enrolled in the Medicaid program at any time during the year.

Though relatively small in magnitude, users should exercise caution when interpreting the expenditures associated with the OPR and OPU categories. While these payments stem from apparent inconsistent responses to the health insurance and source of payment questions in the survey, some of these inconsistencies may have logical explanations. For example, private insurance coverage in MEPS is defined as having a major medical plan covering hospital and physician services. If a MEPS sample person did not have such coverage but had a single service type insurance plan (e.g., dental insurance) that paid for a particular episode of care, those payments may be classified as “other private.” Some of the “other public” payments may stem from confusion between Medicaid and other state and local programs or may be for persons who were not enrolled in Medicaid, but were presumed eligible by a provider who ultimately received payments from the program.

Please note, unlike the other events, the prescribed medicine events do have some remaining inconsistent responses between the insurance section of the HC and sources of payment from the PC (more specifically, discrepancies between Medicare only household insurance responses and Medicaid sources of payment provided by pharmacy providers). These inconsistencies remain unedited because there was strong evidence from the PC that these were indeed Medicaid payments. All of these types of HC events were exact matches to events in the PC, and in addition, all of these types of events were purchases by persons with positive weights.

The naming conventions used for the source of payment expenditure variables are shown in parentheses in the list of categories above and in the key to the attached table in Appendix 1. In addition, total expenditure variables (EXP in key) based on the sum of the 12 source of payment variables above are provided.

Charge Variables

In addition to the expenditure variables described above, a variable reflecting total charges is provided for each type of service category (except prescribed medicines). This variable represents the sum of all fully established charges for care received and usually does not reflect actual payments made for services, which can be substantially lower due to factors such as negotiated discounts, bad debt, and free care (see above). The naming convention used for the charge variables (TCH) is also included in the key to the attached table in Appendix 1. The total charge variable across services (TOTTCH05) excludes prescribed medicines.

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2.6.10.2 Utilization and Expenditure Variables by Type of Medical Service

The following sections summarize definitional, conceptual, and analytic considerations when using the utilization and expenditure variables in this file. Separate discussions are provided for each MEPS medical service category.

Medical Provider Visits (i.e., Office-Based Visits)

Medical provider visits consist of encounters that took place primarily in office-based settings and clinics. Care provided in other settings such as a hospital, nursing home, or a person’s home are not included in this category.

The total number of office-based visits reported for 2005 (OBTOTV05) as well as the number of such visits to physicians (OBDRV05) and nonphysician providers (OBOTHV05) are contained in this file. For a small proportion of sample persons, the sum of the physician and nonphysician visit variables (OBDRV05+OBOTHV05) is less than the total number of office-based visits variable (OBTOTV05) because OBTOTV05 contains reported visits where the respondent did not know the type of provider.

Nonphysician visits (OBOTHV05) include visits to the following types of providers: chiropractors, midwives, nurses and nurse practitioners, optometrists, podiatrists, physician’s assistants, physical therapists, occupational therapists, psychologists, social workers, technicians, receptionists/clerks/secretaries, or other medical providers. Separate utilization variables are included for selected types of more commonly seen nonphysician providers including chiropractors (OBCHIR05), nurses/nurse practitioners (OBNURS05), optometrists (OBOPTO05), physician assistants (OBASST05), and physical or occupational therapists (OBTHER05).

Expenditure variables associated with all medical provider visits, physician visits, and non physician visits in office-based settings can be identified using the attached table in Appendix 1. As for the corresponding utilization variables, the sum of the physician and non physician visit expenditure variables (e.g. OBDEXP05+OBOEXP05) is less than the total office-based expenditure variable (OBVEXP05) for a small proportion of sample persons. This can occur because OBVEXP05 includes visits where the respondent did not know the type of provider seen.

Hospital Events

Separate utilization variables for hospital care are provided for each type of setting (inpatient, outpatient department, and emergency room) along with two expense variables per setting: one for basic hospital facility expenses and another for payments to physicians who billed separately for services provided at the hospital. These payments are referred to as “separately billing doctor” or SBD expenses.

Hospital facility expenses include all expenses for direct hospital care, including room and board, diagnostic and laboratory work, x-rays, and similar charges, as well as any physician services included in the hospital charge. SBD expenses typically cover services provided to patients in hospital settings by providers like radiologists, anesthesiologists, and pathologists, whose charges are often not included in hospital bills.

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Hospital Outpatient Visits

Variables for the total number of reported visits to hospital outpatient departments in 2005 (OPTOTV05) as well as the number of outpatient department visits to physicians (OPDRV05) and non-physician providers (OPOTHV05) are contained in this file. For a small proportion of sample persons, the sum of the physician and non physician visit variables (OPDRV05+OPOTHV05) is less than the total number of outpatient visits variable (OPTOTV05) because OPTOTV05 contains reported visits where the respondent did not provide information on the type of provider seen.

Expenditure variables (both facility and SBD) associated with all medical provider visits, physician visits, and non physician visits in outpatient departments can be identified using the attached table in Appendix 1. As for the corresponding utilization variables, the sum of the physician and non physician expenditure variables (e.g., OPVEXP05+OPOEXP05 for facility expenses) is less than the variable for total outpatient department expenditures (OPFEXP05) for a small proportion of sample persons. This can occur because OPFEXP05 includes visits where the respondent did not know the type of provider seen. No expenditure variables are provided for health care consultations that occurred over the telephone.

Hospital Emergency Room Visits

The variable ERTOT05 represents a count of all emergency room visits reported for the survey year. Expenditure variables associated with ERTOT05 are identified in the attached table in Appendix 1. It should be noted that hospitals usually include expenses associated with emergency room visits that immediately result in an inpatient stay with the charges and payments for the inpatient stay. Therefore, to avoid the potential for double counting when imputing missing expenses, separately reported facility expenditures for emergency room visits that were identified in the MPC as directly linked to an inpatient stay were included as part of the inpatient stay only (see below). This strategy to avoid double counting resulted in $0 facility expenditures for these emergency room visits. However, these $0 emergency room visits are still counted as separate visits in the utilization variable ERTOT05.

Hospital Inpatient Stays

Two measures of total inpatient utilization are provided on the file: (1) total number of hospital discharges (IPDIS05) and (2) the total number of nights associated with these discharges (IPNGTD05). Please note that the variable IPNGTD05 is an imputed version of the IPNGT05 variable released earlier on HC-090. For the 76 cases that were missing length of stay information, data were imputed using a weighted sequential hot-deck procedure. IPDIS05 includes hospital stays where the dates of admission and discharge were reported as identical. These “zero-night stays” can be included or excluded from inpatient analyses at the user’s discretion (see last paragraph of this section).

Expenditure variables associated with hospital inpatient stays are identified in the attached table in Appendix 1. To the extent possible, payments associated with emergency room visits that immediately preceded an inpatient stay are included with the inpatient expenditures (see above) and payments associated with healthy newborns are included with expenditures for the mother (see next paragraph for more detail).

Data used to construct the inpatient utilization and expenditure variables for newborns were edited to exclude stays where the newborn left the hospital on the same day as the mother. This edit was applied because discharges for infants without complications after birth were not consistently reported in the survey, and charges for newborns without complications are typically included in the mother’s hospital bill. However, if the newborn was discharged at a later date than the mother was discharged, then the discharge was considered a separate stay for the newborn when constructing the utilization and expenditure variables.

Some analysts may prefer to exclude zero-night stays from inpatient analyses and/or count these stays as ambulatory visits. Therefore, a separate use variable is provided that contains a count of the number of inpatient events where the reported dates of admission and discharge were the same (IPZERO05). This variable can be subtracted from IPDIS05 to exclude zero-night stays from inpatient utilization estimates. In addition, separate expenditure variables are provided for zero-night facility expenses (ZIFEXP05) and for separately billing doctor expenses (ZIDEXP05). Analysts who choose to exclude zero-night stays from inpatient expenditure analyses need to subtract the zero-night expenditure variable from the corresponding expenditure variable for total inpatient stays (e.g., IPFEXP05-ZIFEXP05 for facility expenses, IPDEXP05-ZIDEXP05 for separately billing doctor expenses).

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Dental Care Visits

The total number of dental visits variable (DVTOT05) includes those to any person(s) for dental care including general dentists, dental hygienists, dental technicians, dental surgeons, orthodontists, endodontists, and periodontists. Additional variables are provided for the numbers of dental visits to general dentists (DVGEN05) and to orthodontists (DVORTH05). For a small proportion of sample persons, the sum of the general dentist and orthodontist visit variables (DVGEN05+DVORTH05) is greater than the total number of dental visits (DVTOT05). This result can only occur for persons who were reported to have seen both a general dentist and orthodontist in the same visit(s). When this occurred, expenditures for the visit were included as orthodontist expenses but not as general dentist expenses. Expenditure variables for all three categories of dental providers can be identified using the attached table in Appendix 1.

Home Health Care

In contrast to other types of medical events where data were collected on a per visit basis, information on home health care utilization is collected in MEPS on a per month basis. Variables are provided that indicate the total number of days in 2005 where home health care was received by the following: from any type of paid or unpaid caregiver (HHTOTD05), from agencies, hospitals, or nursing homes (HHAGD05), from self-employed persons (HHINDD05), and from unpaid informal caregivers not living with the sample person (HHINFD05). The number of provider days represents the sum across months of the number of days on which home health care was received, with days summed across all providers seen. For example, if a person received care in one month from one provider on 2 different days, then the number of provider days would equal 2. The number of provider days would also equal 2 if a person received care from 2 different providers on the same day. However, if a person received care from 1 provider 2 times in the same day, then the provider days would equal 1. These variables were assigned missing values if the number of provider days could not be computed for any month in which the specific type of home health care was received.

Separate expenditure variables are provided for agency-sponsored home health care (includes care provided by home health agencies, hospitals, and nursing homes) and care provided by self-employed persons. The attached table in Appendix 1 identifies the home health care utilization and expenditure variables contained in the file.

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Vision Aids

Expenditure variables for the purchase of glasses and/or contact lenses are identified in the attached table in Appendix 1. Due to the data collection methodology, it was not possible to determine whether vision items that were reported in Round 3 had been purchased in 2004 or 2005. Therefore, expenses reported in Round 3 were only included if more than half of the person’s reference period for the round was in 2005.

Other Medical Equipment and Services

This category includes expenditures for ambulance services, orthopedic items, hearing devices, prostheses, bathroom aids, medical equipment, disposable supplies, alterations/modifications, and other miscellaneous items or services that were obtained, purchased, or rented during the year. On this file, diabetic supplies and insulin are not considered to be medical equipment. All use and expenditure information for these items are included in the prescribed medicine variables. Respondents were only asked once (in Round 3) about their total annual expenditures and were not asked about their frequency of use of these services. Expenditure variables representing the combined expenses for these supplies and services are identified in the Appendix 1 table.

Prescribed Medicines

There is one total utilization variable (RXTOT05) and 13 expenditure variables included on the 2005 full-year file relating to prescribed medicines. These 13 expenditure variables include an annual total expenditure variable (RXEXP05) and 12 corresponding annual source of payment variables (RXSLF05, RXMCR05, RXMCD05, RXPRV05, RXVA05, RXTRI05, RXOFD05, RXSTL05, RXWCP05, RXOSR05, RXOPR05, and RXOPU05). The total utilization variable is a count of all prescribed medications purchased during 2005, and includes initial purchases and refills. The total expenditure variable sums all amounts paid out-of-pocket and by third party payers for each prescription purchased in 2005. No variables reflecting charges for prescription medicines are included because a large proportion of respondents to the pharmacy component survey did not provide charge data (see below).

Prescribed Medicines Data Collected

Data regarding prescription drugs were obtained through the household questionnaire and a pharmacy component survey. During each round of the MEPS-HC, all respondents were asked to supply the name of any prescribed medication they or their family members purchased or otherwise obtained during that round. For each medication and in each round, the following information was collected: whether any free samples of the medication were received; the name(s) of any health conditions the medication was prescribed for; the number of times the prescription drug was obtained or purchased; the year, month, and day on which the person first used the medication; and a list of the names, addresses, and types of pharmacies that filled the household’s prescriptions. Also, during the Household Component, respondents were asked if they send in claim forms for their prescriptions (self-filers) or if their pharmacy providers do this automatically for them at the point of purchase (non-self-filers). For non-self-filers, charge and payment information was collected in the pharmacy component survey, unless the purchase was an insulin or diabetic supply/equipment event. However, charge and payment information was collected for self-filers in the household questionnaire, because payments by private third party payers for self-filers’ purchases would not be available from the pharmacy component. Uninsured persons were treated as those whose pharmacies filed their prescription claims at the point of purchase. Persons who said they did not know if they sent in their own prescription claim forms were treated as those who did send in their own prescription claim forms.

Pharmacy providers identified by the household were contacted by telephone in the pharmacy component if permission was obtained in writing from the person with the prescription to release their pharmacy records. The signed permission forms were provided to the various establishments prior to making any requests for information. Each establishment was informed of all persons participating in the survey that had prescriptions filled there in 2005 and a computerized printout containing information about these prescriptions was sought. For each medication listed, the following information was requested: date filled; national drug code (NDC); medication name; strength of medicine (amount and unit); quantity (package size and amount dispensed); and payments by source.

When diabetic supplies, such as syringes and insulin, were reported in the other medical supply section of the MEPS-HC questionnaire as having been obtained during the round, the interviewer was directed to collect information on these items in the prescription drug section of MEPS. Charge and payment information was asked for these events.

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Prescribed Medicines Data Editing and Imputation

The general approach to preparing the household prescription data for this file was to utilize the pharmacy component prescription data to assign expenditure values to the household drug mentions. For events that charge and payment data were collected from the household in the HC, information on payment sources was retained to the extent that these data were reported. A matching program was adopted to link pharmacy component drugs and the corresponding drug information to household drug mentions. To improve the quality of these matches, all drugs on the household and pharmacy files were coded based on the medication names provided by the household and pharmacy, and when available, the national drug code (NDC) provided in the pharmacy survey. Considerable editing was done prior to the matching to correct data inconsistencies in both data sets and fill in missing data and correct outliers on the pharmacy file.

Drug price per unit outliers were analyzed on the pharmacy file by first identifying the average wholesale unit price (AWUP) of the drug by linkage through the NDC to a proprietary data base. In general, prescription drug unit prices were deemed to be outliers by comparing unit prices reported in the pharmacy data base to the AWUP and were edited, as necessary.

For those rounds that spanned two years, drugs mentioned in that round were allocated between the years based on the number of times the respondent said the drug was purchased in the respective year, the year the person started taking the drug, the length of the person’s round, the dates of the person’s round, and the number of drugs for that person in the round. In addition, a “folded” version of the PC on an event level, as opposed to an acquisition level, was used for these types of events to assist in determining how many acquisitions of the drug should be allocated between the years.

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2.7 Linking to Other Files

2.7.1 Event and Condition Files

Records on this file can be linked to 2005 MEPS-HC public use event and condition files by the sample person identifier (DUPERSID). The Panel 9 cases on this file (PANEL=9) can also be linked back to the 2004 MEPS-HC public use event and condition files.

2.7.2 National Health Interview Survey

The set of households select for MEPS is a subsample of those participating in the National Health Interview Survey (NHIS), thus, each MEPS panel can also be linked back to the previous year’s NHIS public use data files. For information on obtaining MEPS/NHIS link files please see www.meps.ahrq.gov/data_stats/more_info_download_data_files.jsp.

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2.7.3 Pooling Annual Files

Starting in Panel 9, values for DUPERSID from previous panels will occasionally be re-used. Therefore, it is necessary to use the panel variable (PANEL) in combination with DUPERSID to ensure unique person-level identifiers across panels. Creating unique records in this manner is advised when pooling MEPS data across multiple annual files that have one or more identical values for DUPERSID.

2.7.4 Longitudinal Analysis

Panel-specific files containing estimation variables to facilitate longitudinal analysis are available for downloading in the data section of the MEPS Web site.

3.0 Survey Sample Information

3.1 Background on Sample Design and Response Rates

The MEPS is designed to produce estimates at the national and regional level over time for the civilian, noninstitutionalized population of the United States and some subpopulations of interest. The data in this public use file pertain to calendar year 2005. The data were collected in Rounds 1, 2, and 3 for MEPS Panel 10 and Rounds 3, 4, and 5 for MEPS Panel 9. (Note that Round 3 for a MEPS panel is designed to overlap two calendar years, see illustration below.)

Data from the 2005 portion of Rounds 3 through 5 of Panel 9 are pooled with data from the 2005 portion of Rounds 1 through 3 of Panel 10.

Variables convey the same information for this full-year file that has been provided for the full-year files associated with years 1996 – 2004 of MEPS.

The only utilization data that appear on the file are those associated with health care events occurring in calendar year 2005. All such utilization data for 2005 reported by MEPS respondents regardless of round and panel have been included in this database.

3.1.1 References

There have been some published reports on the MEPS sample design. For detailed information on the MEPS sample design for Panel 1, see Cohen, S. Sample Design of the 1996 Medical Expenditure Panel Survey Household Component. Rockville (MD): Agency for Health Care Policy and Research; 1997. MEPS Methodology Report, No. 2. AHCPR Pub. No. 97-0027. For detailed information on the MEPS sample design for Panel 2, see Cohen, S., Sample Design of the 1997 Medical Expenditure Panel Survey Household Component. Rockville (MD): Agency for Healthcare Research and Quality; 2000. MEPS Methodology Report, No. 11. AHRQ Pub No. 01-0001.

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3.1.2 MEPS--Linked to the National Health Interview Survey

The households in this 2005 MEPS database are related to a subsample of households participating in the NHIS in 2003 and 2004. The households (occupied DUs) selected for MEPS Panel 9 were a subsample of the 2003 NHIS responding households, while those in MEPS Panel 10 were a subsample of 2004 NHIS respondents. A household may contain one or more family units, each consisting of one or more individuals. Analysis can be undertaken using either the individual or the family as the unit of analysis.

There were 8,640 households (occupied DUs) selected for inclusion in MEPS Panel 9, of which 8,604 were eligible for fielding (college dormitories were eliminated). They were selected as a nationally representative subsample of the households responding to the 2003 NHIS. A subsample of 8,546 households was selected for MEPS Panel 10 from among households responding to the 2004 NHIS, of which 8,505 were fielded after the elimination of college dorms.

The NHIS is a complex multi-stage sample design. A brief and simplified description of the NHIS design follows. The first stage of sample selection is an area sample of PSUs, where PSUs generally consist of one or more counties. Within PSUs, density strata are formed, generally reflecting the density of minority populations for single or groups of blocks or block equivalents that are assigned to the strata. Within each such density stratum "supersegments" are formed, consisting of clusters of housing units. Samples of supersegments are selected for use over a 10-year data collection period for the NHIS. Households within supersegments are selected for each calendar year the NHIS is carried out. Households containing Hispanics and Blacks are oversampled at rates of approximately 2 and 1.5 times, respectively, the rate of remaining households. The only major difference in eligibility status for housing units between NHIS and MEPS is that college dorms represent ineligible housing units for MEPS. College aged students living away from home during the school year were interviewed at their place of residence for the NHIS but were identified by and linked to their parents’ household for MEPS. (There is also a person-level stage of sampling for the NHIS but that does not have a direct impact on the MEPS sample design.)

3.1.3 Sample Weights and Variance Estimation

In the database “MEPS HC-097: 2005 Full Year Consolidated Data File,” weight variables are provided for estimation purposes. The weight variables (PERWT05F, FAMWT05F, SAQWT05F and DIABW05F) provided in this file supersede the weight variables provided in the 2005 Full Year Population Characteristics File (HC-090). Procedures and considerations associated with the construction and interpretation of person-and family-level estimates using these and other variables are discussed below.

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3.2 The MEPS Sampling Process and Response Rates: An Overview

Generally, a sample representing about three-eighths of the NHIS responding households is made available for use in MEPS. A subsample of these households is then drawn for MEPS interviewing. Because the MEPS subsampling has to be done soon after NHIS responding households are identified, a small percentage of the NHIS households initially characterized as NHIS respondents are later classified as nonrespondents for the purposes of NHIS data analysis. This actually serves to increase the overall MEPS response rate slightly since the percentage of NHIS households designated for use in MEPS (all those characterized initially as respondents from the NHIS panels and quarters used by MEPS for a given year) is slightly larger than the final NHIS household-level response rate and some NHIS nonresponding households do participate in MEPS. However, as a result, these NHIS nonrespondents who are MEPS participants have no NHIS data available to link with MEPS data.

Once the MEPS sample is selected from among the NHIS households characterized as NHIS respondents, RUs representing students living in student housing or consisting entirely of military personnel are deleted from the sample. For the NHIS, college students living in student housing are sampled independently from their families. For MEPS, such students are identified through the sample selection of their parents' RU. Removing from MEPS those college students found in college housing sampled for the NHIS eliminates the opportunity of multiple chances of selection for MEPS for these students. Military personnel not living in the same RU as civilians are ineligible for MEPS. After such exclusions, all RUs associated with households selected from among those identified as NHIS responding households are then fielded in the first round of MEPS.

Table 3.1 shows these three informational components just discussed in Rows A, B, and C. Row A indicates the percentage of NHIS households eligible for MEPS. Row B indicates the number of NHIS households sampled for MEPS. Row C indicates the number of sampled households actually fielded for MEPS (after dropping the students and military members discussed above).

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Table 3.1 Sample size and response rates for Full Year file (Panel 10 Rounds 1-3/Panel 9 Rounds 3-5)

		Panel 9	Panel 10	2005 Combined
A.	Percentage of NHIS households designated for use in MEPS (those characterized as responding)	90.3%	87.9%
B.	Number of households sampled from the NHIS	8,640	8,546
C.	Number of Households sampled from the NHIS and fielded for MEPS	8,604	8,505
D.	Round 1 – Number of RUs eligible for interviewing	9,250	9,076
E.	Round 1 – Number of RUs with completed interviews	7,205	7,107
F.	Round 2 – Number of RUs eligible for interviewing	7,427	7,381
G.	Round 2 – Number of RUs with completed interviews	7,027	6,940
H.	Round 3 – Number of RUs eligible for interviewing	7,187	7,056
I.	Round 3 – Number of RUs with completed interviews	6,861	6,727
J.	Round 4 – Number of RUs eligible for interviewing	6,964
K.	Round 4 – Number of RUs with completed interviews	6,716
L.	Round 5 – Number of RUs eligible for interviewing	6,728
M.	Round 5 – Number of RUs with completed interviews	6,627
Overall response rates through the Spring of 2006 P10: A x (E/D) x (G/F) x (I/H) P9: A x (E/D) x (G/F) x (I/H) x (K/J) x (M/L)		60.3% (Panel 9 through Round 5)	62.2% (Panel 10 through Round 3)	61.3%
Combined: 0.50 x P9 + 0.50 x P10

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3.2.1 Response Rates

In order to produce annual health care estimates for calendar year 2005 based on the full MEPS sample, data from the MEPS Panel 9 and Panel 10 samples are combined. More specifically, full calendar year 2005 data collected in Rounds 3 through 5 for the MEPS from the Panel 9 sample are combined with data from the first three rounds of data collection for the MEPS Panel 10 sample (the general approach is described below).

To understand the calculation of MEPS response rates, some features related to MEPS data collection should be noted. When an RU is visited for a round of data collection, changes in RU membership are identified. Such changes include RU members who have moved to another location in the U.S., thus creating a new RU to be interviewed for MEPS, as well as student RUs. Thus, the number of RUs eligible for MEPS interviewing in a given round can only be determined after data collection is fully completed. The ratio of the number of RUs completing the MEPS interview in a given round to the number of RUs characterized as eligible to complete the interview for that round represents the "conditional" response rate for that round expressed as a proportion. It is "conditional" in that it pertains to the set of RUs characterized as eligible for MEPS for that round, and thus is "conditioned" on prior participation rather than representing the overall response rate through that round. For example, in Table 3.1, for Panel 9, Round 2 the ratio of 7,027 (Row G) to 7,427 (Row F) multiplied by 100 represents the percentage response rate for the round (94.6 percent when computed), conditioned on the set of RUs characterized as eligible for MEPS for that round. Taking the product of the percentage of the NHIS sample eligible for MEPS (row A) with the product of the ratios for a consecutive set of MEPS rounds beginning with round one produces the overall response rate through the last MEPS round specified.

The overall response rate for the combined sample of Panels 9 and 10 for 2005 was obtained by computing the products of the relative sample sizes and the corresponding overall panel response rates and then summing the two products. Panel 10 represents about 50 percent of the combined sample size while Panel 9 represents the remaining 50 percent. Thus, the combined response rate has been computed as .5 times the overall Panel 10 response rate through Round 3 plus .5 times the overall Panel 9 response rate through Round 5.

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3.2.2 Panel 10 Response Rates

For MEPS Panel 10, Round 1 8,505 households were fielded in 2005 (row C of Table 3.1), a nationally representative subsample of the households responding to the 2004 National Health Interview Survey (NHIS).

Table 3.1 shows the number of RUs eligible for interviewing in each Round of Panel 10 as well as the number of RUs completing the MEPS interview. Computing the individual Round "conditional" response rates as described in section 3.2.1 and then taking the product of these three response rates and the factor 87.9 (the percentage of the NHIS sampled households designated for use in selecting a sample of households for MEPS) yields an overall response rate of 62.2 percent for Panel 10 through Round 3.

3.2.3 Panel 9 Response Rates

For MEPS Panel 9, 8,604 households were fielded in 2004 (as indicated in Row C of Table 3.1), a nationally representative subsample of the households responding to the 2003 National Health Interview Survey (NHIS).

Table 3.1 shows the number of RUs eligible for interviewing and the number completing the interview for all five rounds of Panel 9. The overall response rate for Panel 9 has been computed in a similar fashion to that of Panel 10 but covering all five rounds of MEPS interviewing as well the factor representing the percentage of NHIS sampled households eligible for MEPS. The overall response rate for Panel 9 through Round 5 is 60.3 percent.

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3.2.4 Combined Panel Response

A combined response rate for the survey respondents in this data set is obtained by taking a weighted average of the panel specific response rates. The Panel 9 response rate was weighted by a factor of .5 and that of Panel 10 was also weighted by a factor of .5, reflecting approximately the distribution of the overall sample between the two panels. The resulting combined response rate for the combined panels has been computed as (.5 x 60.3) plus (.5 x 62.2) or 61.3 percent (as shown in Table 3.1).

3.2.5 Oversampling

Oversampling is a feature of the MEPS sample design, helping to increase the precision of estimates for some subgroups of interest. Before going into details related to MEPS, the concept of oversampling will be discussed.

In a sample where all persons in a population are selected with the same probability and survey coverage of the population is high, the sample distribution is expected to be proportionate to the population distribution. For example, if Hispanics represent 15 percent of the general population, one would expect roughly 15 percent of the persons sampled to be Hispanic. However, in order to improve the precision of estimates for specific subgroups of a population, one might decide to select samples from those subgroups at higher rates than the remainder of the population. Thus, one might select Hispanics at twice the rate (i.e., at double the probability) of persons not oversampled. As a result, an oversampled subgroup comprises a higher proportion of the sample than it represents in the general population. Sample weights ensure that population estimates are not distorted by a disproportionate contribution from oversampled subgroups (i.e., base sample weights for oversampled groups will be smaller than for the portion of the population not oversampled). For example, if a subgroup is sampled at roughly twice the rate of sample selection for the remainder of the population not oversampled, members of the oversampled subgroup will receive base or initial sample weights (prior to nonresponse or poststratification adjustments) that are roughly half the size of the group "not oversampled".

As mentioned above, oversampling is implemented to increase the sample sizes and thus improve the precision of survey estimates for particular subgroups of the population. The "cost" of oversampling is that the precision of estimates for the general population and subgroups not oversampled will be reduced to some extent compared to the precision one could have achieved if the same overall sample size were selected without any oversampling.

The oversampling of Hispanic and Black households for the NHIS carries over to MEPS through the set of NHIS responding households eligible for sample selection for MEPS. In the NHIS, Hispanic households were oversampled at a rate of roughly 2 to 1. That is, the probability of selecting a Hispanic household for participation in the NHIS was roughly twice that for households in the general population that were not oversampled. The oversampling rate for Black households was roughly 1.5 to 1.

For both the MEPS Panel 9 sample and the MEPS Panel 10 sample, the NHIS responding households eligible for MEPS that contained either Asians or families predicted to have an income under 200 percent of the poverty level (based on a statistical model) were sampled with certainty. In addition, households containing Blacks and not among those households selected with certainty were also oversampled. The sampling rates for the black stratum varied by Panel: roughly two thirds for Panel 9 and three-fourths for Panel 10. About 53 percent of all remaining NHIS households eligible for MEPS were also sampled for Panel 10 (the rate was about 53 percent for “remaining” NHIS households for Panel 9 as well). To accomplish this, systematic samples were selected from each stratum formed from the MEPS-eligible households, as described above. In summary, households containing Hispanics, Blacks, Asians, and those predicted to be under 200 percent of poverty were oversampled for both Panels 9 and 10.

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3.3 Background on Person-Level Estimation Using this MEPS Public Use Release

3.3.1 Overview

There is a single person-level weight variable called PERWT05F. However, care should be taken in its application as it permits both “point-in-time” and “range of time” estimates, depending on the variables used to define the set of persons of interest for analysis. A person-level weight was assigned to each key, inscope person who responded to MEPS for the full period of time that he or she was inscope during the MEPS (recall that a person is inscope whenever he or she is a member of the civilian, noninstitutionalized portion of the U.S. population). For Panel 9 persons, the time period includes both 2004 and 2005; for Panel 10 persons, it only pertains to 2005.

3.3.2 Developing Person-Level Estimates

The data in this file can be used to develop estimates on persons in the civilian, noninstitutionalized population at any time during 2005 and for the slightly smaller population of persons in the civilian, noninstitutionalized population on December 31, 2005. To obtain a cross-sectional (point-in-time) estimate for inscope persons living in the country on December 31, 2005, the analysis should be restricted to cases where INSC1231=1 (the person is inscope on December 31, 2005). The weight variable PERWT05F must be applied to the analytic variable(s) of interest to obtain either type of national estimate. Table 3.2 contains a summary of cases to include and sample sizes for the two populations described above.

Table 3.2 Identifying Populations of Interest at the Person Level and Corresponding Sample Sizes

Population of Interest	Cases to Include	Sample Size
Civilian, Noninstitutionalized Population over the course of 2005	PERWT05F>0	32,320
Civilian, Noninstitutionalized Population on December 31, 2005	PERWT05F>0 and INSC1231=1	31,912

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3.4 Details on Person-Level Weights Construction

3.4.1 Overview

The person-level weight PERWT05F was developed in three stages. The person-level weight for Panel 10 was created, including both an adjustment for nonresponse over time and raking, controlling to several sets of marginal control totals reflecting Current Population Survey (CPS) population estimates based on six different variables (race/ethnicity, sex, age, poverty status, region, MSA). The person-level weight for Panel 9 was created, also including an adjustment for nonresponse over time and raking, controlling to CPS population estimates based on the same six variables. A composite weight was formed from the Panel 9 and Panel 10 weights by multiplying the Panel weights by factors corresponding to the relative sample size of the two panels. Then a final raking was undertaken on this composite weight variable, again based on the same six variables used previously.

3.4.2 MEPS Panel 9

The person-level weight for MEPS Panel 9 was developed using the 2004 full-year weight for an individual as a “base” weight for survey participants present in 2004. For key, inscope respondents who joined an RU some time in 2005 after being out-of-scope in 2004, the “base” weight was taken to be the 2004 family weight associated with the family the person joined. The weighting process included an adjustment for nonresponse over Rounds 4 and 5 as well as raking to population control totals for December 2005 for key, responding persons inscope on December 31, 2005. These control totals were derived by scaling back the population distribution obtained from the March 2005 CPS to reflect the December 2005 estimated population total. Variables used for person-level raking included: Census region (Northeast, Midwest, South, and West); MSA status (MSA, non-MSA); race/ethnicity (Hispanic, Black but non-Hispanic, Asian, and other); sex; and age. Key responding persons not inscope on December 31, 2005 but inscope earlier in the year retained, as their final Panel 9 weight, the weight after the nonresponse adjustment.

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3.4.3 MEPS Panel 10

The person-level weight for MEPS Panel 10 was developed using the MEPS Round 1 person-level weight as a “base” weight. For key, inscope respondents who joined an RU after Round 1, the Round 1 family weight served as a “base” weight. The weighting process included an adjustment for nonresponse over the remaining data collection rounds in 2005 as well as raking to the same population control figures for December 2005 used for the MEPS Panel 9 weights for key, responding persons inscope on December 31, 2005. The same five variables employed for Panel 9 raking (census region, MSA status, race/ethnicity, sex, and age) were also used for Panel 10 raking. As with Panel 9, Panel 10 key, responding persons not inscope on December 31, 2005 but inscope earlier in the year retained the weight after nonresponse adjustment as their final Panel 10 weight.

Note that the MEPS Round 1 weights for both panels incorporated the following components: the original household probability of selection for the NHIS; a factor representing the proportion of the 16 NHIS panel-quarter combinations eligible for MEPS; the oversampling of certain subgroups for MEPS among the NHIS household respondents eligible for MEPS; ratio-adjustment to NHIS-based national population estimates at the household (occupied DU) level; adjustment for nonresponse at the DU-level for Round 1; and poststratification to U.S. civilian noninstitutionalized population estimates at the family and person level obtained from the corresponding March CPS data bases.

3.4.4 Raking

Beginning with the Full Year 2002 files, “raking” has been employed for the “Full Year” MEPS weighting to calibrate surveys weights to match designated population control totals, replacing the poststratification process previously employed. Raking is a commonly used process for adjusting survey weights so that estimates of subpopulation totals match more stable figures available from independent sources. It can be thought of as multi-dimensional poststratification that requires an iterative solution. Survey weights are poststratified to several sets of control figures (dimensions) in a sequential and continuous fashion until convergence is achieved. Convergence is the state where survey weights satisfy the criteria that the sums of the survey weights for the subgroups represented by the various dimensions are simultaneously within a specified distance of the corresponding control figures (for example, within 1, 10, 100, 500, etc. of the control totals). For example, if one dimension in a raking effort was sex by MSA status and the specified distance was 10, then, after convergence has been achieved, the sum of the survey weights for males in MSA areas would be within 10 of the control figure for males in MSA areas, etc.

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3.4.5 The Final Weight for 2005

Variables used in the raking of the person-level weights to control totals derived from CPS data included: census region (Northeast, Midwest, South, and West); MSA status (MSA, non-MSA); race/ethnicity (Hispanic, Black but non-Hispanic, Asian, and other); sex, and age. Persons included in the raking process were those inscope on December 31, 2005. In addition, the weights of some persons out-of-scope on December 31, 2005 were poststratified. Specifically, the weights of persons out-of-scope on December 31, 2005 that were inscope some time during the year and also entered a nursing home during the year were poststratified to a corresponding control total obtained from the 1996 MEPS Nursing Home Component. The weights of persons who died while inscope during 2005 were poststratified to corresponding estimates derived using data obtained from the Medicare Current Beneficiary Survey (MCBS) and Vital Statistics information provided by the National Center for Health Statistics (NCHS). Separate control totals were developed for the “65 and older” and “under 65” civilian, noninstitutionalized decedent populations.

Overall, the weighted population estimate for the civilian, noninstitutionalized population over the course of the year (PERWT05F>0) is 296,185,002 (see Table 3.3). The weighted population for the population that was in-scope for the survey on December 31, 2005 (PERWT05F>0 and INSC1231=1) is 292,372,718.

Table 3.3 Persons with a person weight for the 2005 Full Year file

	Panel 9	Panel 10	Combined	Population estimate (weighted total of combined sample)

Number	15,904	16,416	32,320	296,185,002

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3.4.6 A Note on MEPS Population Estimates

Beginning with the 2001 Full Year data, MEPS transitioned to 2000 census-based population estimates for poststratification and raking. Prior to 2001, 1990-census-based estimates were used. In addition, MEPS population estimates have undergone some “discontinuities”, due to adjustments made to the 2003 CPS estimates (CPS is the source of the control figures used for raking and poststratification in MEPS). More specifically, MEPS estimates for the civilian, noninstitutionalized population from the full year 2001 public use files compared to those from previous years show a sizeable increase in population in 2001. In previous years the percentage increase had been slightly under one percent, while between the 2000 and 2001 MEPS population estimates it is roughly two percent. The MEPS file for full year 2001 was the first where CPS figures reflected 2000 Census figures instead of projections from figures obtained from the 1990 Census. The projections were somewhat low compared to 2000 Census figures. Some subgroups were particularly affected. For example, the CPS figures reflecting 2000 Census figures provide population estimates for Hispanics that are roughly 8 percent higher than previous projections suggested. For the full year 2003 files there was another discontinuity. The March 2003 CPS database, the basis of the MEPS full year 2002 control figures, experienced a one time population adjustment of roughly 941,000, reflecting current information and research on net migration. This had a large impact on the Hispanic population (roughly a 1.7 percent increase), a minor impact on the white population (a 0.4 percent increase), and no change at all in Black population estimates.

For more information about these recent changes in CPS population estimates, see "Revisions to the Current Population Survey Effective in January 2003" in the January 2003 issue of the monthly Labor Review (authored by Mary Bowler, Randy E. Ilg, Stephen Miller, Ed Robison, and Anne Polivka, all at the Bureau of Labor Statistics). Recent changes in the definition of racial categories are also noted in this report.

3.4.7 Coverage

The target population associated with this MEPS database is the 2005 U.S. civilian, noninstitutionalized population. However, the MEPS sampled households are a subsample of the NHIS households interviewed in 2003 (Panel 9) and 2004 (Panel 10). New households created after the NHIS interviews for the respective Panels and consisting exclusively of persons who entered the target population after 2003 (Panel 9) or after 2004 (Panel 10) are not covered by MEPS. Neither are previously out-of-scope persons who join an existing household but are unrelated to the current household residents. Persons not covered by a given MEPS panel thus include some members of the following groups: immigrants; persons leaving the military; U.S. citizens returning from residence in another country; and persons leaving institutions. The set of not covered persons constitutes only a small proportion of the MEPS target population.

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3.5 Family-Level Estimation Using This MEPS Public Use Release

There are two family weight variables provided in this release: FAMWT05F and FAMWT05C. FAMWT05F can be used to make estimates for the cross-section of families in the U.S. civilian noninstitutionalized population on December 31, 2005 where families are identified based on the MEPS definition of a family unit. Estimates can include MEPS families that existed at some time during 2005 but whose members became out-of-scope prior to the end of the year (e.g., all family members moved out of the country, died, etc.) as well as MEPS families in existence on December 31, 2005. FAMWT05C can be used to make estimates for the cross-section of families in the U.S. civilian, noninstitutionalized population on December 31, 2005 where families are identified based on the CPS definition of a family unit.

Definition of “Family” for Estimation Purposes

A MEPS family generally consists of two or more persons living together in the same household who are related by blood, marriage, or adoption, as well as foster children (foster children are not included as members under the CPS definition of a family). MEPS also defines as a family unmarried persons living together who consider themselves a family unit (these are not families under the CPS definition). Single persons who do not live with a relative nor a person identified as a “significant other” have also been assigned a family ID value and a family-level weight and thus can be included or excluded from family-level estimates, as desired. Relatives identified as usual residents of the household who were not present at the time of the interview, such as college students living away from their parents’ home during the school year, were considered as members of the family that identified them.

To make estimates at the family level, it is necessary to prepare a family-level file containing one record per family (see instructions below), family-level summary characteristics, and the family-level weight variable (FAMWT05F or FAMWT05C). Each MEPS family unit is uniquely identified by the combination of the variables DUID and FAMIDYR while each CPS family unit is uniquely identified by the combination of the variables DUID and CPSFAMID. The number of persons in a MEPS sample family ranges from 1 to 11 and the number in the CPS families ranges from 1 to 11. Only persons with positive nonzero family weight values are candidates for inclusion in family estimates.

Two sets of families for whom estimates can be obtained are defined in table 3.4 below (along with respective sample sizes). Persons with FMRS1231=1 were inscope for the survey on 12/31/05 and therefore part of a MEPS family on 12/31/05. The more expansive definition of families (second row in table 3.4) includes families and members of families who were not inscope at the end of the year. While MEPS includes individual persons as family units (about one-third of all units), analysts may restrict their analyses to families with two or more members using the famiy size variables shown in table 3.4 (for example, to limit consideration to the cross-section of families with two or more members on December 31, 2005, analyze only families where FAMS1231 is 2 or more). Estimates can also be made for the cross-section of CPS families on December 31, 2005 based on the 13,061 sample CPS families in this data file.

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Table 3.4 MEPS Families

Population of Interest	Cases to Include	Sample Size (Includes single person units)	Family Size Variable
Cross-section of Families in the Civilian Noninstitutionalized Population on 12/31/05	FAMWT05F>0 & FMRS1231=1	12,680	FAMS1231
Families in the Civilian Noninstitutionalized Population on 12/31/05 plus families and members of families in existence earlier in 2005 who were not part of the civilian noninstitutionalized population on 12/31/05	FAMWT05F>0	12,810	FAMSZEYR

Instructions to Create Family Estimates

The following is a summary of the steps and the variables to be used for family-level estimation based on the MEPS definition of families.

Concatenate the variables DUID and FAMIDYR into a new variable (e.g., DUIDFAMY).
To create a family-level file, sort by DUIDFAMY and then subset to one record per DUIDFAMY value by retaining only the reference person record (FAMRFPYR=1) for each value of DUIDFAMY. Some family-level measures needed for analytic purposes (e.g., means or totals) can be obtained after aggregating person-level information across all members of a family. For other types of measures, analysts frequently use the characteristics of the reference person to characterize his or her family unit (e.g., the race/ethnicity, marital status, or age of the reference person).
Apply the weight FAMWT05F to the analytic variable(s) of interest to obtain national MEPS family estimates.

The following is a summary of the steps and the variables to be used for family-level estimation based on the CPS definition of families.

Concatenate the variables DUID and CPSFAMID into a new variable (e.g., DUIDFAMC).
To create a family-level file, sort by DUIDFAMC and then subset to one record per DUIDFAMC value by retaining only the reference person record (FCRP1231=1) for each value of DUIDFAMC. Some family-level measures needed for analytic purposes (e.g., means or totals) can be obtained after aggregating person-level information across all members of a family. For other types of measures, analysts frequently use the characteristics of the reference person to characterize his or her family unit (e.g., the race/ethnicity, marital status, or age of the reference person).
Apply the weight FAMWT05C to the analytic variable(s) of interest to obtain national CPS family estimates.

Details on Family Weight Construction and Estimated Number of Families

Because health care related decisions are influenced by a family's economic status, poverty status is incorporated into the poststratification component of the weighting process. However, poverty status is defined based on the CPS definition of a family, which differs from the MEPS family definition in two ways: foster children are not considered family members and unmarried partners living together are considered separate family units. Since data are collected in MEPS family units (RUs), prior to poststratification MEPS families in existence on December 31, 2005 containing either unmarried partners living together or foster children were partitioned into units that correspond to CPS families (families with no unmarried partners or foster children are defined as family units in both MEPS and CPS).

The poststratification process was carried out in several steps. First, all CPS-like family units were assigned an initial family-level weight based on the person-level weight (PERWT05F) of the family reference person (FAMRFPYR=1) of the MEPS family with which they were associated. These CPS family-level weights (FAMWT05C) were then raked to population control figures derived from CPS estimates for December 2005 (derived by scaling the family population totals from the March 2006 CPS back to reflect December 31, 2005). In addition to poverty status (below poverty, above poverty but below 200 percent of poverty, other), the family-level poststratification incorporated the following variables: census region; MSA status; race/ethnicity of reference person (Hispanic, black but non Hispanic, and other); family type (reference person married, living with spouse; male reference person, unmarried or spouse not present; female reference person, unmarried or spouse not present); age of reference person; and family size on December 31, 2005. The family level weight variable for MEPS families (FAMWT05F) was then constructed by putting MEPS families that consisted of more than one CPS-like family back together and assigning the MEPS family level weight based on the CPS family weight for the CPS defined family containing the MEPS family reference person.

The weighted population estimate for CPS families on December 31, 2005 based on 13,061 CPS families in the sample is 127,491,526. Overall, the weighted population estimate for the 12,680 MEPS family units containing at least one member of the U.S. civilian, noninstitutionalized population on December 31, 2005 (those families whose members have FAMWT05F>0 and FMRS1231=1) is 124,057,051. The inclusion of families whose members left the inscope population prior to December 31, 2005 increases the estimated total number of families represented by the 12,810 MEPS responding families (whose members have FAMWT05F>0) to 125,482,281.

Table 3.5 Families with a family weight for the 2005 Full Year file

	Panel 9	Panel 10	Combined	Population estimate (weighted total of combined sample)

Number	6,333	6,477	12,810	125,482,281

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3.6 Analysis Using Health Insurance Eligibility Units

To construct a weight for use in analysis using Health Insurance Eligibility Units, as identified by the variable HIEUIDX:

Identify the HIEU head by your analytic intent, i.e. if only studying heath insurance unit with female heads of households, choose the female adult as head of household.
If the weight of the HIEU head is non-zero, use the weight of the HIEU head for all members of that HIEU; or

If the weight of the HIEU head is zero, delete the case.

3.7 Weights and Response Rates for the Self-Administered Questionnaire

For analytic purposes, a single person-level weight variable, SAQWT05F, has been provided for use with the data obtained from the Self-Administered Questionnaire (SAQ). This questionnaire was administered in Panel 10, Round 2 and Panel 9, Round 4 and was to be completed by each adult (person aged 18 or older) in the family. Thus, the target population for the SAQ is adults in the civilian, noninstitutionalized population at the time data were collected for Rounds 2/4.

The weight variable was developed by first adjusting for questionnaire non-response. Variables used in the nonresponse adjustment process were region, MSA status, family size, marital status, level of education, health status, health insurance status, age, sex and race/ethnicity. Then the weights were raked to Current Population Survey (CPS) estimates corresponding to December 2005 (the same source of control figures used for the full year person weights). The variables used to form control figures were region, MSA status, age, sex, and race/ethnicity, as were used for the full year person weights. The only difference was that age categories were developed after excluding ages under 18, since only adults were eligible for the SAQ.

In all, there were 20,680 persons assigned a SAQ weight with the sum of the weights being 215,999,254 (an estimate of the civilian, noninstitutionalized population aged 18 or older at the time the SAQ was administered).

The Panel 9 response rate for the 2005 SAQ was 93.2 percent, while the Panel 10 response rate for the 2005 SAQ was 91.3 percent. Pooled response rates for the survey respondents have been computed by taking a weighted average of the panel-specific response rates, where the weights were the relative proportion of persons with sample weights associated with each panel (a value of 0.5 was associated with Panel 9, and a value of 0.5 was associated with Panel 10). The pooled response rate for the combined panels for the 2005 SAQ is 92.3 percent.

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3.8 Weights and Response Rates for the Diabetes Care Survey

A person-level weight, DIABW05F, was developed for use with the data obtained from the Diabetes Care Survey (DCS). This weight was assigned to each person with a SAQ weight who was also classified as having diabetes (thus, no one aged 17 or under receives a DCS weight).

To determine this classification, the RU respondent was asked to identify any family member in the residence having diabetes. Then, those identified with diabetes were asked if a doctor had ever indicated that the person had diabetes. Those who responded affirmatively to that question and who also had a SAQ weight were assigned a DCS weight.

In all, 1,654 people were assigned a DCS weight (DIABW05F>0). The sum of the DCS weights is 15,805,050, an estimate of the adult population self-reporting as having been diagnosed with diabetes as identified by the two step process described above. This estimate likely understates the number of persons with diabetes because occasionally a family member with diabetes may not have been identified by the RU respondent. In addition, persons who joined an RU in Round 3 of Panel 10 or Round 5 of Panel 9, some of whom may have diabetes, were not eligible for the SAQ and thus not eligible for a DCS weight.

The Panel 9 response rate for the 2005 DCS was 89.2 percent. The Panel 10 response rate for the 2005 DCS was 88.6 percent. The pooled response rate for the combined panels for the DCS is 88.9 percent. The pooled response rate is a weighted average for the two panels, reflecting their relative sample sizes (roughly 50 percent of the respondents are from Panel 9, the remaining 50 percent from Panel 10).

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3.9 Variance Estimation

The MEPS-HC has a complex sample design. To obtain estimates of variability (such as the standard error of sample estimates or corresponding confidence intervals) of MEPS estimates, analysts need to take into account the complex sample design for both person-level and family-level analyses. Several methodologies have been developed for estimating standard errors for surveys with a complex sample design, including the Taylor-series linearization method, balanced repeated replication, and jackknife replication. MEPS-HC files contain strata and PSU variables which can be used with standardized software to calculate standard errors using the Taylor-series approach. Software packages that use the Taylor-series linearization method include SUDAAN, Stata, SAS (version 8.2 and higher), and SPSS (version 12.0 and higher). For complete information on the capabilities of each package, analysts should refer to the corresponding software user documentation.

Using the Taylor-series linearization method, variance estimation strata and the variance estimation PSUs within these strata must be specified. The variance strata variable is named VARSTR, while the variance PSU variable is named VARPSU. Specifying a “with replacement” design in a computer software package, such as SUDAAN, provides standard errors appropriate for assessing the variability of MEPS survey estimates. It should be noted that the number of degrees of freedom associated with estimates of variability indicated by such a package may not appropriately reflect the actual number available. For MEPS sample estimates for characteristics generally distributed throughout the country (and thus the sample PSUs), one can expect at least 100 degrees of freedom for the 2005 full year data associated with the corresponding estimates of variance.

Prior to 2002, MEPS variance strata and PSUs were developed independently from year to year, and the last two characters of the strata and PSU variable names denoted the year. However, beginning with the 2002 Point-in-Time PUF, the variance strata and PSUs were developed to be compatible with MEPS data associated with the NHIS sample design used through 2005. Such data can be pooled and the variance strata and PSU variables provided can be used without modification for variance estimation purposes for estimates covering multiple years of data. There are 203 variance estimation strata, each stratum with either two or three variance estimation PSUs.

Note: A new NHIS sample design is being implemented beginning in 2006. As a result, the MEPS variance estimation structure will be modified for MEPS data collected in 2007 and beyond.

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3.10 Guidelines for Determining which Weight to Use for Analysis Involving Data/Variables from Multiple Sources and Supplements: MEPS 2005 Full Year Consolidated File

Decisions on which weight variable to use is based on a hierarchy.

For person level analyses not involving variables from the SAQ or DCS, PERWT05F should always be used.

For person-level analysis involving variables from the SAQ but not the DCS, the SAQWT05F should be used. For example, if examining access to care or quality of care variables from the SAQ by social-demographics, health status, or health insurance, SAQWT05F is the appropriate weight even though person level socio-demographic variables, health status, and health insurance are part of the core person level questionnaire. Whenever data from the Diabetes Care Survey (DCS) are used, alone or in conjunction with data from other questionnaires, the weight variable DIABW05F should be used for those eligible to provide DCS data.

For all family-level analyses, FAMWT05F or FAMWT05C should be used.

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3.11 Using MEPS Data for Trend Analysis

MEPS began in 1996 and the utility of the survey for analyzing health care trends expands with each additional year of data. However, it is important to consider a variety of factors when examining trends over time using MEPS. Statistical significance tests should be conducted to assess the likelihood that observed trends are not attributable to sampling variation. The length of time being analyzed should also be considered. In particular, large shifts in survey estimates over short periods of time (e.g. from one year to the next) that are statistically significant should be interpreted with caution, unless they are attributable to known factors such as changes in public policy, economic conditions, or MEPS survey methodology. Looking at changes over longer periods of time can provide a more complete picture of underlying trends. Analysts of MEPS data may wish to consider using techniques to evaluate, smooth, or stabilize estimates of trends. Such techniques include comparing pooled time periods (e.g. 1996-97 versus 2004-05), working with moving averages, or using modeling techniques with several consecutive years of MEPS data to test the fit of specified patterns over time. Finally, researchers should be aware of the impact of multiple comparisons on Type I error (i.e., the chance of declaring an observed difference to be statistically significant when there is no difference in the population parameters). Performing numerous statistical significance tests increases the likelihood of a Type I error.

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D. Variable-Source Crosswalk

SURVEY ADMINISTRATION VARIABLES - PUBLIC USE

VARIABLE	DESCRIPTION	SOURCE
DUID	Dwelling Unit ID	Assigned in Sampling
PID	Person Number	Assigned in Sampling or by CAPI
DUPERSID	Person ID (DUID + PID)	Assigned in Sampling
PANEL	Panel Number	Constructed
FAMID31	Family ID (Student Merged In) – R3/1	CAPI Derived
FAMID42	Family ID (Student Merged In) – R4/2	CAPI Derived
FAMID53	Family ID (Student Merged In) – R5/3	CAPI Derived
FAMID05	Family ID (Student Merged In) – 12/31/05	CAPI Derived
FAMIDYR	Annual Family Identifier	Constructed
CPSFAMID	CPS-Like Family Identifier	Constructed
HIEUIDX	Health Insurance Eligibility Unit Identifier	Constructed
FCSZ1231	Family Size Responding 12/31 CPS Family	Constructed
FCRP1231	Ref Person of 12/31 CPS Family	Constructed
RULETR31	RU Letter – R3/1	CAPI Derived
RULETR42	RU Letter – R4/2	CAPI Derived
RULETR53	RU Letter – R5/3	CAPI Derived
RULETR05	RU Letter as of 12/31/05	CAPI Derived
RUSIZE31	RU Size – R3/1	CAPI Derived
RUSIZE42	RU Size – R4/2	CAPI Derived
RUSIZE53	RU Size – R5/3	CAPI Derived
RUSIZE05	RU Size as of 12/31/05	CAPI Derived
RUCLAS31	RU fielded as: Standard/New/Student – R3/1	CAPI Derived
RUCLAS42	RU fielded as: Standard/New/Student – R4/2	CAPI Derived
RUCLAS53	RU fielded as: Standard/New/Student – R5/3	CAPI Derived
RUCLAS05	RU fielded as: Standard/New/Stud-12/31/05	CAPI Derived
FAMSZE31	RU Size Including Students – R3/1	CAPI Derived
FAMSZE42	RU Size Including Students – R4/2	CAPI Derived
FAMSZE53	RU Size Including Students – R5/3	CAPI Derived
FAMSZE05	RU Size Including Students as of 12/31/05	CAPI Derived
FMRS1231	Member of Responding 12/31 Family	Constructed
FAMS1231	Family Size of Responding 12/31 Family	Constructed
FAMSZEYR	Size of Responding Annualized Family	Constructed
FAMRFPYR	Reference Person of Annualized Family	Constructed
REGION31	Census Region – R3/1	Assigned in Sampling
REGION42	Census Region – R4/2	Assigned in Sampling
REGION53	Census Region – R5/3	Assigned in Sampling
REGION05	Census Region as of 12/31/05	Assigned in Sampling
MSA31	MSA Status – R3/1	Assigned in Sampling
MSA42	MSA Status – R4/2	Assigned in Sampling
MSA53	MSA Status – R5/3	Assigned in Sampling
MSA05	MSA Status as of 12/31/05	Assigned in Sampling
REFPRS31	Reference Person at - R3/1	RE 42-45
REFPRS42	Reference Person at - R4/2	RE 42-45
REFPRS53	Reference Person at - R5/3	RE 42-45
REFPRS05	Reference Person as of 12/31/05	RE 42-45
RESP31	1st Respondent Indicator for R3/1	RE 6, 8
RESP42	1st Respondent Indicator for R4/2	RE 6, 8
RESP53	1st Respondent Indicator for R5/3	RE 6, 8
RESP05	1st Respondent Indicator as of 12/31/05	RE 6, 8
PROXY31	Was Respondent a Proxy in R3/1	RE 2
PROXY42	Was Respondent a Proxy in R4/2	RE 2
PROXY53	Was Respondent a Proxy in R5/3	RE 2
PROXY05	Was Respondent a Proxy as of 12/31/05	RE 2
INTVLANG	Language Interview Was Completed	CL62A
BEGRFD31	R3/1 Reference Period Begin Date: Day	CAPI Derived
BEGRFM31	R3/1 Reference Period Begin Date: Month	CAPI Derived
BEGRFY31	R3/1 Reference Period Begin Date: Year	CAPI Derived
ENDRFD31	R3/1 Reference Period End Date: Day	CAPI Derived
ENDRFM31	R3/1 Reference Period End Date: Month	CAPI Derived
ENDRFY31	R3/1 Reference Period End Date: Year	CAPI Derived
BEGRFD42	R4/2 Reference Period Begin Date: Day	CAPI Derived
BEGRFM42	R4/2 Reference Period Begin Date: Month	CAPI Derived
BEGRFY42	R4/2 Reference Period Begin Date: Year	CAPI Derived
ENDRFD42	R4/2 Reference Period End Date: Day	CAPI Derived
ENDRFM42	R4/2 Reference Period End Date: Month	CAPI Derived
ENDRFY42	R4/2 Reference Period End Date: Year	CAPI Derived
BEGRFD53	R5/3 Reference Period Begin Date: Day	CAPI Derived
BEGRFM53	R5/3 Reference Period Begin Date: Month	CAPI Derived
BEGRFY53	R5/3 Reference Period Begin Date: Year	CAPI Derived
ENDRFD53	R5/3 Reference Period End Date: Day	CAPI Derived
ENDRFM53	R5/3 Reference Period End Date: Month	CAPI Derived
ENDRFY53	R5/3 Reference Period End Date: Year	CAPI Derived
ENDRFD05	2005 Reference Period End Date: Day	RE Section
ENDRFM05	2005 Reference Period End Date: Month	RE Section
ENDRFY05	2005 Reference Period End Date: Year	RE Section
KEYNESS	Person Key Status	RE Section
INSCOP31	Inscope – R3/1	RE Section
INSCOP42	Inscope – R4/2	RE Section
INSCOP53	Inscope – R5/3	RE Section
INSCOP05	Inscope – R5/3 Start through 12/31/05	RE Section
INSC1231	Inscope Status on 12/31/05	Constructed
INSCOPE	Was Person Ever Inscope in 2005	RE Section
ELGRND31	Eligibility – R3/1	RE Section
ELGRND42	Eligibility – R4/2	RE Section
ELGRND53	Eligibility – R5/3	RE Section
ELGRND05	Eligibility Status as of 12/31/05	RE Section
PSTATS31	Person Disposition Status – R3/1	RE Section
PSTATS42	Person Disposition Status – R4/2	RE Section
PSTATS53	Person Disposition Status – R5/3	RE Section
RURSLT31	RU Result – R3/1	Assigned by CAPI
RURSLT42	RU Result – R4/2	Assigned by CAPI
RURSLT53	RU Result – R5/3	Assigned by CAPI

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DEMOGRAPHIC VARIABLES - PUBLIC USE

VARIABLE	DESCRIPTION	SOURCE
AGE31X	Age – R3/1 (Edited/Imputed)	RE 12, 57-66
AGE42X	Age – R4/2 (Edited/Imputed)	RE 12, 57-66
AGE53X	Age – R5/3 (Edited/Imputed)	RE 12, 57-66
AGE05X	Age as of 12/31/05 (Edited/Imputed)	RE 12, 57-66
DOBMM	Date of Birth: Month	RE 12, 57-66
DOBYY	Date of Birth: Year	RE 12, 57-66
SEX	Sex	RE 12, 57, 61
RACEX	Race (Edited/Imputed)	RE 101A
RACEAX	Asian Among Races Rptd (Edited/Imputed)	RE 101A
RACEBX	Black Among Races Rptd (Edited/Imputed)	RE 101A
RACEWX	White Among Races Rptd (Edited/Imputed)	RE 101A
RACETHNX	Race/Ethnicity (Edited/Imputed)	RE 98A-100A
HISPANX	Hispanic Ethnicity (Edited/Imputed)	RE 98A-101A
HISPCAT	Specific Hispanic Ethnicity Group	RE 98A-101A
MARRY31X	Marital Status – R3/1 (Edited/Imputed)	RE 13, 97
MARRY42X	Marital Status – R4/2 (Edited/Imputed)	RE 13, 97
MARRY53X	Marital Status – R5/3 (Edited/Imputed)	RE 13, 97
MARRY05X	Marital Status–12/31/05 (Edited/Imputed)	RE 13, 97
SPOUID31	Spouse ID – R3/1	RE 13, 76, 77, 97
SPOUID42	Spouse ID – R4/2	RE 13, 76, 77, 97
SPOUID53	Spouse ID – R5/3	RE 13, 76, 77, 97
SPOUID05	Spouse ID – 12/31/05	RE 13, 76, 77, 97
SPOUIN31	Marital Status w/ Spouse Present – R3/1	RE 13, 76, 77, 97
SPOUIN42	Marital Status w/ Spouse Present – R4/2	RE 13, 76, 77, 97
SPOUIN53	Marital Status w/ Spouse Present – R5/3	RE 13, 76, 77, 97
SPOUIN05	Marital Status w/Spouse Present–12/31/05	RE 13, 76, 77, 97
EDUCYR	Years of Educ When First Entered MEPS	RE 103-105
HIDEG	Highest Degree When First Entered MEPS	RE 103-105
FTSTU31X	Student Status if Ages 17-23 – R3/1	RE 11A, 106-108
FTSTU42X	Student Status if Ages 17-23 – R4/2	RE 11A, 106-108
FTSTU53X	Student Status if Ages 17-23 – R5/3	RE 11A, 106-108
FTSTU05X	Student Status if Ages 17-23 – 12/31/05	RE 11A, 106-108
ACTDTY42	Military Full-Time Active Duty – R4/2	RE 14, 96B1
ACTDTY53	Military Full-Time Active Duty – R5/3	RE 14, 96B1
RFREL31X	Relation to Ref Pers – R3/1 (Edit/Imp)	RE 76-77
RFREL42X	Relation to Ref Pers – R4/2 (Edit/Imp)	RE 76-77
RFREL53X	Relation to Ref Pers – R5/3 (Edit/Imp)	RE 76-77
RFREL05X	Relation to Ref Pers – 12/31/05 (Edit/Imp)	RE 76-77
MOPID31X	PID of Person’s Mom – RD 3/1	RE 76-77
MOPID42X	PID of Person’s Mom – RD 4/2	RE 76-77
MOPID53X	PID of Person’s Mom – RD 5/3	RE 76-77
DAPID31X	PID of Person’s Dad – RD 3/1	RE 76-77
DAPID42X	PID of Person’s Dad – RD 4/2	RE 76-77
DAPID53X	PID of Person’s Dad – RD 5/3	RE 76-77

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INCOME VARIABLES

VARIABLE	DESCRIPTION	SOURCE
SSIDIS05	SSI Receipt Due To Disability	IN 39
AFDC05	Did Person’s Check Include Tanf	IN 44
FILEDR05	Has Person Filed A Fed Income Tax Return	IN 02
WILFIL05	Will Person File Fed Income Tax Return	IN 03
FLSTAT05	Person’s Filing Status	IN 04
FILER05	Primary Or Secondary Filer	IN 04
JTINRU05	Joint Filer’s Membership In RU	IN 05
JNTPID05	PID of Joint Filer	IN 05
CLMDEP05	Did/Will Pers Claim Dependents On Return	IN 06
DEPDNT05	Person Is Flagged A Dependent	IN 07
DPINRU05	Dependents In/Out Of RU	IN 07
DPOTSD05	How Many Dependents Live Outside RU	IN 08
TAXFRM05	Tax Form Person Will File	IN 09
DEDUCT05	Itemize Or Standard Deduction	IN 10
TOTDED05	Total Of All Itemized Deductions	IN 14
CLMHIP05	Did/Will Pers Deduct Health Insur Prem	IN 15
EICRDT05	Did/Will Pers Receive Earned Inc Credit	IN 17
FOODST05	Did Anyone Receive Food Stamps	IN 55
FOODMN05	Number Of Months Food Stamps Received	IN 56
FOODVL05	Monthly Value Of Food Stamps	IN 58
TTLP05X	Person’s Total Income	Constructed
POVCAT05	Family Income As Percent Of Poverty Line	Constructed
WAGEP05X	Person’s Wage Income	Constructed
WAGIMP05	Wage Imputation Flag	Constructed
BUSNP05X	Person’s Business Income	Constructed
BUSIMP05	Business Income Imputation Flag	Constructed
UNEMP05X	Person’s Unemployment Comp Income	Constructed
UNEIMP05	Unemployment Imputation Flag	Constructed
WCMPP05X	Person’s Workers’ Compensation	Constructed
WCPIMP05	Workers' Comp Imputation Flag	Constructed
INTRP05X	Person’s Interest Income	Constructed
INTIMP05	Interest Imputation Flag	Constructed
DIVDP05X	Person’s Dividend Income	Constructed
DIVIMP05	Dividend Imputation Flag	Constructed
SALEP05X	Person’s Sales Income	Constructed
SALIMP05	Sales Income Imputation Flag	Constructed
PENSP05X	Person’s Pension Income	Constructed
PENIMP05	Pension Income Imputation Flag	Constructed
SSECP05X	Person’s Social Security Income	Constructed
SSCIMP05	Social Security Imputation Flag	Constructed
TRSTP05X	Person’s Trust/Rent Income	Constructed
TRTIMP05	Trust Income Imputation Flag	Constructed
VETSP05X	Person’s Veteran’s Income	Constructed
VETIMP05	Veteran's Income Imputation Flag	Constructed
IRASP05X	Person’s Ira Income	Constructed
IRAIMP05	Ira Income Imputation Flag	Constructed
REFDP05X	Person’s Refund Income	Constructed
REFIMP05	Refund Income Imputation Flag	Constructed
ALIMP05X	Person’s Alimony Income	Constructed
ALIIMP05	Alimony Income Imputation Flag	Constructed
CHLDP05X	Person’s Child Support	Constructed
CHLIMP05	Child Support Imputation Flag	Constructed
CASHP05X	Person’s Other Regular Cash Contrib	Constructed
CSHIMP05	Cash Contribution Imputation Flag	Constructed
SSIP05X	Person’s SSI	Constructed
SSIIMP05	SSI Imputation Flag	Constructed
PUBP05X	Person’s Public Assistance	Constructed
PUBIMP05	Public Assistance Imputation Flag	Constructed
OTHRP05X	Person’s Other Income	Constructed
OTHIMP05	Other Income Imputation Flag	Constructed

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HEALTH STATUS VARIABLES - PUBLIC USE

VARIABLE	DESCRIPTION	SOURCE
RTHLTH31	Perceived Health Status – RD 3/1	CE 1
RTHLTH42	Perceived Health Status – RD 4/2	CE 1
RTHLTH53	Perceived Health Status – RD 5/3	CE 1
MNHLTH31	Perceived Mental Health Status – RD 3/1	CE 2
MNHLTH42	Perceived Mental Health Status – RD 4/2	CE 2
MNHLTH53	Perceived Mental Health Status – RD 5/3	CE 2
IADLHP31	IADL Screener – RD 3/1	HE 2-4
IADLHP42	IADL Screener – RD 4/2	HE 2-4
IADLHP53	IADL Screener – RD 5/3	HE 2-4
IADL3M31	IADL Help 3+ Months – RD 3/1	HE 3A
IADL3M42	IADL Help 3+ Months – RD 4/2	HE 3A
IADL3M53	IADL Help 3+ Months – RD 5/3	HE 3A
ADLHLP31	ADL Screener – RD 3/1	HE 5-6
ADLHLP42	ADL Screener – RD 4/2	HE 5-6
ADLHLP53	ADL Screener – RD 5/3	HE 5-6
ADL3MO31	ADL Help 3+ Months – RD 3/1	HE 6A
ADL3MO42	ADL Help 3+ Months – RD 4/2	HE 6A
ADL3MO53	ADL Help 3+ Months – RD 5/3	HE 6A
AIDHLP31	Used Assistive Devices – RD 3/1	HE 7-8
AIDHLP53	Used Assistive Devices – RD 5/3	HE 7-8
WLKLIM31	Limitation in Physical Functioning – RD 3/1	HE 9-18
WLKLIM53	Limitation in Physical Functioning – RD 5/3	HE 9-18
LFTDIF31	Difficulty Lifting 10 Pounds – RD 3/1	HE 11
LFTDIF53	Difficulty Lifting 10 Pounds – RD 5/3	HE 11
STPDIF31	Difficulty Walking up 10 Steps – RD 3/1	HE 12
STPDIF53	Difficulty Walking up 10 Steps – RD 5/3	HE 12
WLKDIF31	Difficulty Walking 3 Blocks – RD 3/1	HE 13
WLKDIF53	Difficulty Walking 3 Blocks – RD 5/3	HE 13
MILDIF31	Difficulty Walking a Mile – RD 3/1	HE 14
MILDIF53	Difficulty Walking a Mile – RD 5/3	HE 14
STNDIF31	Difficulty Standing 20 Minutes – RD 3/1	HE 15
STNDIF53	Difficulty Standing 20 Minutes – RD 5/3	HE 15
BENDIF31	Difficulty Bending/Stooping – RD 3/1	HE 16
BENDIF53	Difficulty Bending/Stooping – RD 5/3	HE 16
RCHDIF31	Difficulty Reaching Overhead – RD 3/1	HE 17
RCHDIF53	Difficulty Reaching Overhead – RD 5/3	HE 17
FNGRDF31	Difficulty Using Fingers to Grasp – RD 3/1	HE 18
FNGRDF53	Difficulty Using Fingers to Grasp – RD 5/3	HE 18
WLK3MO31	Phys Functioning Help 3+ Months – RD 3/1	HE 18A
WLK3MO53	Phys Functioning Help 3+ Months – RD 5/3	HE 18A
ACTLIM31	Any Limitation Work/Housewrk/Schl – RD 3/1	HE 19-20
ACTLIM53	Any Limitation Work/Housewrk/Schl – RD 5/3	HE 19-20
WRKLIM31	Work Limitation – RD 3/1	HE 20A
WRKLIM53	Work Limitation – RD 5/3	HE 20A
HSELIM31	Housework Limitation – RD 3/1	HE 20A
HSELIM53	Housework Limitation – RD 5/3	HE 20A
SCHLIM31	School Limitation – RD 3/1	HE 20A
SCHLIM53	School Limitation – RD 5/3	HE 20A
UNABLE31	Completely Unable to Do Activity – RD 3/1	HE 21
UNABLE53	Completely Unable to Do Activity – RD 5/3	HE 21
SOCLIM31	Social Limitations – RD 3/1	HE 22-23
SOCLIM53	Social Limitations – RD 5/3	HE 22-23
COGLIM31	Cognitive Limitations – RD 3/1	HE 24-25
COGLIM53	Cognitive Limitations – RD 5/3	HE 24-25
WRGLAS42	Wears Glasses or Contacts – RD 4/2	HE 26-27
SEEDIF42	Diffclty Seeing w/Glasses/Cntcts–RD 4/2	HE 28-29
BLIND42	Person Is Blind – RD 4/2	HE 30
READNW42	Can Read Newsprnt w/Glasses/Cntcts-RD4/2	HE 31
RECPEP42	Can Recgnze People w/Glasses/Cntcts-R4/2	HE 32
VISION42	Vision Impairment (Summary) – RD 4/2	Constructed
HEARAD42	Person Wears Hearing Aid – RD 4/2	HE 33-34
HEARDI42	Any Difficlty Hearing w/Hearing Aid–RD4/2	HE 35-36
DEAF42	Person Is Deaf – RD 4/2	HE 37
HEARMO42	Can Hear Most Conversation – RD 4/2	HE 38
HEARSM42	Can Hear Some Conversation – RD 4/2	HE 39
HEARNG42	Hearing Impairment (Summary) – RD 4/2	Constructed
ANYLIM05	Any Limitation in P9R3,4,5/P10R1,2,3	Constructed
LSHLTH42	Less Healthy than Othr Child (0-17)-R4/2	CS01_01
NEVILL42	Never Been Seriously Ill (0-17)-R4/2	CS01_02
SICEAS42	Child Gets Sick Easily (0-17)-R4/2	CS01_03
HLTHLF42	Child Will Have Healthy Life (0-17)-R4/2	CS01_04
WRHLTH42	Worry More about Health (0-17)-R4/2	CS01_05
CHPMED42	CSHCN: Child Needs Prescrb Med(0-17)-R4/2	CS03
CHPMHB42	CSHCN: Pmed for Hlth/Behv Cond (0-17)-R4/2	CS03OV1
CHPMCN42	CSHCN: Pmed Cond Last 12+ Mos (0-17)-R4/2	CS03OV2
CHSERV42	CSHCN: Chld Needs Med&Oth Serv (0-17)-R4/2	CS04
CHSRHB42	CSHCN: Serv for Hlth/Behv Cond(0-17)-R4/2	CS04OV1
CHSRCN42	CSHCN: Serv Cond Last 12+ Mos (0-17)-R4/2	CS04OV2
CHLIMI42	CSHCN: Limited in Any Way (0-17)-R4/2	CS05
CHLIHB42	CSHCN: Limt for Hlth/Behv Cond(0-17)-R4/2	CS05OV1
CHLICO42	CSHCN: Limit Cond Last 12+ Mos (0-17)-R4/2	CS05OV2
CHTHER42	CSHCN: Chld Needs Spec Therapy (0-17)-R4/2	CS06
CHTHHB42	CSHCN: Spec Ther for Hlth+Cond(0-17)-R4/2	CS06OV1
CHTHCO42	CSHCN: Ther Cond Last 12+ Mos (0-17)-R4/2	CS06OV2
CHCOUN42	CSHCN: Child Needs Counseling (0-17)-R4/2	CS07
CHEMPB42	CSHCN: Couns Prob Last 12+ Mos (0-17)-R4/2	CS07OV
CSHCN42	CSHCN:Child w/Spec HC Needs (0-17)-R4/2	CS03-CS07OV
MOMPRO42	Problem Getting Along w/Mom (5-17)-R4/2	CS08_01
DADPRO42	Problem Getting Along w/Dad (5-17)-R4/2	CS08_02
UNHAP42	Problem Feeling Unhappy/Sad (5-17)-R4/2	CS08_03
SCHLBH42	Problem Behavior at School (5-17)-R4/2	CS08_04
HAVFUN42	Problem Having Fun (5-17) – R4/2	CS08_05
ADUPRO42	Prblm Getting Along w/Adults (5-17)-R4/2	CS08_06
NERVAF42	Prblm Feeling Nervous/Afraid (5-17)-R4/2	CS08_07
SIBPRO42	Prblm Getting Along w/Sibs (5-17)-R4/2	CS08_08
KIDPRO42	Prblm Getting Along w/Kids (5-17)-R4/2	CS08_09
SPRPRO42	Problem w/Sports/Hobbies (5-17)–R4/2	CS08_10
SCHPRO42	Problem With Schoolwork (5-17)-R4/2	CS08_11
HOMEBH42	Problem w/Behavior at Home (5-17)-R4/2	CS08_12
TRBLE42	Prblm Stay out Of Trouble (5-17)-R4/2	CS08_13
CHILCR42	CAHPS:12Mos: Ill/Inj Need Care (0-17)R4/2	CS09A
CHILWW42	CAHPS:12Mos: Ill Care Whn Wntd (0-17)R4/2	CS10A
CHRTCR42	CAHPS:12Mos: Make Rout Care Apt (0-17)R4/2	CS11A
CHRTWW42	CAHPS:12Mos: Rout Apt Whn Wntd (0-17)R4/2	CS12A
CHAPPT42	CAHPS:12Mos: # of Off/Clin Apts (0-17)R4/2	CS13
CHNDCR42	CAHPS:12Mos:Need Any Care/Trt(0-17)-R4/2	CS14A
CHNECP42	CAHPS:12Mos: Prob Get Nec Care (0-17)R4/2	CS14
CHLIST42	CAHPS:12Mos: Chld Dr Lsn to You (0-17)R4/2	CS15
CHEXPL42	CAHPS:12Mos: Chld Dr Expl Thng (0-17)R4/2	CS16
CHRESP42	CAHPS:12Mos: Chld’s Dr Shw Resp(0-17)R4/2	CS17
CHPRTM42	CAHPS:12Mos: Child Dr Engh Time(0-17)R4/2	CS18
CHHECR42	CAHPS:12Mos: Rate Chld Hlt Care (0-17)R4/2	CS19
CHSPEC42	CAHPS:12Mos: Chld Needed Spec (0-17)R4/2	CS20
CHPRRE42	CAHPS:12Mos: Prb w/Rfr to Spec (0-17)R4/2	CS21
MESHGT42	Doctor Ever Measured Height (0-17)-R4/2	CS22
WHNHGT42	When Doctor Measured Height (0-17)-R4/2	CS22OV
MESWGT42	Doctor Ever Measured Weight (0-17)-R4/2	CS24
WHNWGT42	When Doctor Measured Weight (0-17)-R4/2	CS24OV
CHBMIX42	Child's Body Mass Index (6-17)-R4/2	Constructed
MESVIS42	Doctor Checked Child’s Vision (3-6)-R4/2	CS26
MESBPR42	Dr Checked Blood Pressure (2-17)-R4/2	CS27
WHNBPR42	When Dr Checked Blood Press (2-17)-R4/2	CS27OV
DENTAL42	Dr Advise Reg Dental Checkup (2-17)-R4/2	CS28
WHNDEN42	When Dr Advise Dent Checkup (2-17)-R4/2	CS28OV
EATHLT42	Dr Advise Eat Healthy (2-17)-R4/2	CS29
WHNEAT42	When Dr Advise Eat Healthy (2-17)-R4/2	CS29OV
PHYSCL42	Dr Advise Exercise (2-17)-R4/2	CS30
WHNPHY42	When Dr Advise Exercise (2-17)-R4/2	CS30OV
SAFEST42	Dr Advise Chld Safety Seat (Wt<=40)-R4/2	CS31
WHNSAF42	When Dr Advise Safety Seat (Wt<=40)-R4/2	CS31OV
BOOST42	Dr Advise Booster Seat (40<Wt<=80)-R4/2	CS32
WHNBST42	Whn Dr Advise Booster Seat(40<Wt<=80)-R4/2	CS32OV
LAPBLT42	Dr Advise Lap/Shoulder Belt (80<Wt)-R4/2	CS33
WHNLAP42	Whn Dr Advise Lap/Shldr Blt (80<Wt)-R4/2	CS33OV
HELMET42	Dr Advise Bike Helmet (2-17)-R4/2	CS34
WHNHEL42	When Dr Advise Bike Helmet (2-17)-R4/2	CS34OV
NOSMOK42	Dr Advise Smkg in Home is Bad(0-17)-R4/2	CS35
WHNSMK42	Whn Dr Advis Smkg in Home Bad(0-17)-R4/2	CS35OV
TIMALN42	Doctor Spend Any Time Alone (12-17)-R4/2	CS36
DENTCK53	How Often Dental Check-up – RD 5/3	AP12
CHOLCK53	How Lng Cholest Lst Chck (>17) – RD 5/3	AP16
CHECK53	How Lng Lst Routne Checkup (>17) – RD 5/3	AP17
FLUSHT53	How Lng Last Flu Sht (>17) – RD 5/3	AP18
LSTETH53	Lost All Uppr And Lowr Teeth (>17) – RD 5/3	AP18B
PSA53	How Long Since Last PSA (>39) – RD 5/3	AP19
HYSTER53	Had a Hysterectomy (>17) – RD 5/3	AP20A
PAPSMR53	How Lng Lst Pap Smear Tst (>17) – RD 5/3	AP20
BRSTEX53	How Lng Snce Lst Breast Exam (>17) – RD 5/3	AP21
MAMOGR53	How Lng Snce Lst Mammogram (>29) – RD 5/3	AP22
STOOL53	Bld Stool Tst Kit/Crds Home (>17) – RD 5/3	AP23
WHENST53	Whn Lst Bld Stool Tst Hme Kit (>17) – RD 5/3	AP24
BOWEL53	Sigmoidoscopy/Colonoscopy (>17) – RD 5/3	AP25
WHNBWL53	Lst Sigmoidoscop/Colonoscop (>17) – RD 5/3	AP26
PHYACT53	Mod/Vig Phys Activ 3X Wk (>17) – RD 5/3	AP28
BMINDX53	Adult Body Mass Index (> 17) - Rd 5/3	Constructed
SEATBE53	Wears Seat Belt (>15) – RD 5/3	AP32
SRTHRT53	12MO: Serious Sore Throat (0-17)-RD 5/3	PC01A
THSYMP53	12MO: Sore Thrt/Oth Symptms(0-17)-RD 5/3	PC01B
DRTHRT53	12MO: See Dr for Sore Thrt (0-17)-RD 5/3	PC01C
THANTB53	12MO: Dr Pres Antbtc Sre Thrt (0-17)-RD 5/3	PC01D
THSWAB53	12MO: Dr Gave Throat Swab (0-17)-RD 5/3	PC01E
THSYMF53	12MO: Fam Same Sre Thrt Symp (0-17)-RD 5/3	PC01F
THSWBF53	12MO: Dr Gave Fam Thrt Swab (0-17)-RD 5/3	PC01G
THANTF53	12MO: Dr Pres Fam Atbtc Sr Tht(0-17)-RD 5/3	PC01H
DIABDX53	Diabetes Diagnosis – RD 5/3	PC02
ASTHDX53	Asthma Diagnosis – RD 5/3	PC04
ASSTIL53	Does Person Still Have Asthma - RD 5/3	PC04A
ASATAK53	Asthma Attack Last 12 Mos– RD 5/3	PC05
ASACUT53	Used Acute Pres Inhaler Last 3 Mos-RD5/3	PC05A
ASMRCN53	Used >3Acute Cn Pres Inh Last 3 Mos-RD5/3	PC05B
ASPREV53	Ever Used Prev Daily Asthma Meds -RD5/3	PC06A
ASDALY53	Now Take Prev Daily Asthma Meds - RD 5/3	PC06B
ASPKFL53	Have Peak Flow Meter at Home – RD 5/3	PC08
ASEVFL53	Ever Used Peak Flow Meter - RD 5/3	PC08A
ASWNFL53	When Last Used Peak Flow Meter - RD 5/3	PC08B
HIBPDX53	High Blood Pressure Diag (>17) – RD 5/3	PC09
BPMLDX53	Mult Diag High Blood Press (>17) – RD 5/3	PC10
BPCHEK53	Time Snce Lst Blood Pres Chk (>17) – RD 5/3	PC11
BPMONT53	# Mos Snce Lst Blood Pres Chk (>17) – RD 5/3	PC11OV
CHOLDX53	High Cholesterol Diagnosis (>17) – RD5/3	PC11A
CHLAGE53	How Old When Diag w/ Hgh Chol – RD5/3	PC11B
CHDDX53	Coronary Hrt Disease Diag (>17) – RD 5/3	PC12_01
ANGIDX53	Angina Diagnosis (>17) – RD 5/3	PC12_02
MIDX53	Heart Attack (MI) Diag (>17) – RD 5/3	PC12_03
OHRTDX53	Other Heart Disease Diag (>17) – RD 5/3	PC12_04
STRKDX53	Stroke Diagnosis (>17) – RD 5/3	PC12_05
EMPHDX53	Emphysema Diagnosis (>17) – RD 5/3	PC12_06
NOFAT53	Restrict HGH Fat/Choles Food (>17)–RD 5/3	PC13_01
EXRCIS53	Advised to Exercise More (>17) – RD 5/3	PC13_02
ASPRIN53	Tke Aspirn Every (Othr) Day (>17)–RD 5/3	PC15
NOASPR53	Taking Aspirin Unsafe (>17) – RD 5/3	PC16
STOMCH53	Tke Asprn Unsafe B/C Stomch (>17) – RD 5/3	PC17
JTPAIN53	Joint Pain Last 12 Months (>17) – RD 5/3	PC18
ARTHDX53	Arthritis Diagnosis (>17) – RD 5/3	PC19
ARTHTX53	Arthritis Treatmnt Currently (>17)RD5/3	PC20
SAQELIG	Eligibility Status for SAQ	Constructed
ADPRX42	SAQ: Relationship of Proxy to Adult	Constructed
ADILCR42	SAQ 12Mos: Ill/Injury Needing Immed Care	SAQ Q1
ADILWW42	SAQ 12 Mos: Got Care When Needed Ill/Inj	SAQ Q2
ADRTCR42	SAQ 12 Mos: Made Appt Routine Med Care	SAQ Q3
ADRTWW42	SAQ 12 Mos: Got Med Appt When Wanted	SAQ Q4
ADAPPT42	SAQ 12 Mos:# Visits to Med Off for Care	SAQ Q5
ADNDCR42	SAQ 12Mos: Need Any Care, Test, Treatmnt	SAQ Q6
ADNECP42	SAQ 12Mos: Probs Getting Needed Med Care	SAQ Q7
ADLIST42	SAQ 12 Mos: Doctor Listened to You	SAQ Q8
ADEXPL42	SAQ 12 Mos: Doc Explained So Understood	SAQ Q9
ADRESP42	SAQ 12 Mos: Dr Showed Respect	SAQ Q10
ADPRTM42	SAQ 12 Mos: Dr Spent Enuf Time with You	SAQ Q11
ADHECR42	SAQ 12 Mos: Rating of Health care	SAQ Q12
ADSMOK42	SAQ: Currently Smoke	SAQ Q13
ADNSMK42	SAQ 12Mos: Dr Advised to Quit Smoking	SAQ Q14
ADDRBP42	SAQ 2 Yrs: Dr Checked Blood Pressure	SAQ Q15
ADSPEC42	SAQ 12 Mos: Needed to See Specialist	SAQ Q16
ADPRRE42	SAQ 12Mos: Problem Seeing Specialist	SAQ Q17
ADGENH42	SAQ: Health in General SF-12V2	SAQ Q18
ADDAYA42	SAQ: Hlth Limits Mod Activities SF-12V2	SAQ Q19
ADCLIM42	SAQ: Hlth Limits Climbing Stairs SF-12V2	SAQ Q20
ADPALS42	SAQ 4Wks:Accmp Less B/C Phy Prbs SF-12V2	SAQ Q21
ADPWLM42	SAQ 4Wks:Work Limt B/C Phy Probs SF-12V2	SAQ Q22
ADMALS42	SAQ 4Wks:Accmp Less B/C Mnt Prbs SF-12V2	SAQ Q23
ADMWLM42	SAQ 4Wks:Work Limt B/C Mnt Probs SF-12V2	SAQ Q24
ADPAIN42	SAQ 4Wks:Pain Limits Normal Work SF-12V2	SAQ Q25
ADCAPE42	SAQ 4Wks: Felt Calm/Peaceful SF-12V2	SAQ Q26
ADNRGY42	SAQ 4Wks: Had a Lot of Energy SF-12V2	SAQ Q27
ADDOWN42	SAQ 4Wks: Felt Downhearted/Depr SF-12V2	SAQ Q28
ADSOCA42	SAQ 4Wks: Hlth Stopped Soc Activ SF-12V2	SAQ Q29
PCS42	SAQ:Phy Component Summry SF-12V2 Imputed	SAQ Q18 – Q29
MCS42	SAQ:Mnt Component Summry SF-12V2 Imputed	SAQ Q18 – Q29
SFFLAG42	SAQ: PCS/MCS Imputation Flag SF-12V2	SAQ Q18 – Q29
ADNERV42	SAQ 30 Days: How Often Felt Nervous	SAQ Q30
ADHOPE42	SAQ 30 Days: How Often Felt Hopeless	SAQ Q31
ADREST42	SAQ 30 Days: How Often Felt Restless	SAQ Q32
ADSAD42	SAQ 30 Days: How Often Felt Sad	SAQ Q33
ADEFRT42	SAQ 30 Days: How Oftn Everythng an Effort	SAQ Q34
ADWRTH42	SAQ 30 Days: How Often Felt Worthless	SAQ Q35
K6SUM42	SAQ 30 Days: Overall Rating of Feelings	SAQ Q30 – Q35
ADINTR42	SAQ 2 Wks: Little Interest in Things	SAQ Q36
ADDPRS42	SAQ 2 Wks: Felt Down/Depressed/Hopeless	SAQ Q37
PHQ242	SAQ 2 Wks: Overall Rating of Feelings	SAQ Q36 – Q37
ADINSA42	SAQ: Do Not Need Health Insurance	SAQ Q36
ADINSB42	SAQ: Health Insurance Not Worth Cost	SAQ Q37
ADRISK42	SAQ: More Likely to Take Risks	SAQ Q38
ADOVER42	SAQ: Can Overcome Ills Without Med Help	SAQ Q39
ADCMPM42	SAQ: Date Completed - Month	Constructed
ADCMPD42	SAQ: Date Completed - Day	Constructed
ADCMPY42	SAQ: Date Completed – Year	Constructed
ADLANG42	SAQ: Language of SAQ Interview	Constructed
DSDIA53	DCS: Diabetes Diagnosis By Health Prof	DCS Q1
DSA1C53	DCS: Times Tested for A-One-C – 2005	DCS Q2
DSCKFT53	DCS: Times Feet Checked for Sores – 2005	DCS Q3
DSEY0653	DCS: Dilated Eye Exam in 2006	DCS Q4
DSEY0553	DCS: Dilated Eye Exam in 2005	DCS Q4
DSEY0453	DCS: Dilated Eye Exam in 2004	DCS Q4
DSEB0453	DCS: Dilated Eye Exam Before 2004	DCS Q4
DSEYNV53	DCS: Never Had Dilated Eye Exam	DCS Q4
DSKIDN53	DCS: Has Diabetes Caused Kidney Problems	DCS Q5
DSEYPR53	DCS: Has Diabetes Caused Eye Probs	DCS Q6
DSDIET53	DCS: Treat Diabetes w/Diet Modification	DCS Q7
DSMED53	DCS: Treat Diabetes w/Meds by Mouth	DCS Q8
DSINSU53	DCS: Treat Diabetes w/Insulin Injections	DCS Q9
PHONE53	DCS: Learned Diab Care from Phone Call	DCS Q10A
NURSE53	DCS: Learned Diab Care from Nurse	DCS Q10B
VISIT53	DCS: Learned Diab Care from Home Visit	DCS Q10C
REFER53	DCS: Learned Diab Care from Specialist	DCS Q10D
CHLCHK53	DCS: How Long Since Cholesterol Check	DCS Q11
FLSHOT53	DCS: How Long Since Last Flu Shot	DCS Q12
DSPRX53	DCS: Was Respondent a Proxy	Constructed

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DISABILITY DAYS VARIABLES – PUBLIC USE

VARIABLE	DESCRIPTION	SOURCE
DDNWRK31	# Days Missed Work Due to Ill/Inj (RD31)	DD02 DD02A
DDNWRK42	# Days Missed Work Due to Ill/Inj (RD42)	DD02
DDNWRK53	# Days Missed Work Due to Ill/Inj (RD53)	DD02 DD02A
WKINBD31	# Days Missed Work Stayed in Bed (RD31)	DD04 DD04A
WKINBD42	# Days Missed Work Stayed in Bed (RD42)	DD04
WKINBD53	# Days Missed Work Stayed in Bed (RD53)	DD04 DD04A
DDNSCL31	# Days Missd School Due to Ill/Inj(RD31)	DD05 DD05A
DDNSCL42	# Days Missd School Due to Ill/Inj(RD42)	DD05
DDNSCL53	# Days Missd School Due to Ill/Inj(RD53)	DD05 DD05A
SCLNBD31	# Days Missed School Stayd in Bed (RD31)	DD07 DD07A
SCLNBD42	# Days Missed School Stayd in Bed (RD42)	DD07
SCLNBD53	# Days Missed School Stayd in Bed (RD53)	DD07 DD07A
DDBDYS31	# Oth Day Person Spent in Bed Since Start(RD31)	DD08 DD08A
DDBDYS42	# Oth Day Person Spent in Bed Since Start(RD42)	DD08
DDBDYS53	# Oth Day Person Spent in Bed Since Start(RD53)	DD08 DD08A
OTHDYS31	Miss Any Work Day to Care for Oth (RD31)	DD10
OTHDYS42	Miss Any Work Day to Care for Oth (RD42)	DD10
OTHDYS53	Miss Any Work Day to Care for Oth (RD53)	DD10
OTHNDD31	# Day Missed Work to Care for Oth (RD31)	DD11 DD11A
OTHNDD42	# Day Missed Work to Care for Oth (RD42)	DD11
OTHNDD53	# Day Missed Work to Care for Oth (RD53)	DD11 DD11A

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ACCESS TO CARE VARIABLES - PUBLIC USE

VARIABLE	DESCRIPTION	SOURCE
ACCELI42	Pers Eligible for Access Supplement-R4/2	Constructed
LANGHM42	AC01 Language Spoken Most in Home	AC01
ENGHME42	AC02 HH Comfortable Speakng English-R4/2	AC02
ENGSPK42	AC02A Not Comfrtble Speakng English-R4/2	AC02A
HAVEUS42	AC05 Does Person Have USC Provider-R4/2	AC05
YNOUSC42	AC07 Main Reas Pers Doesnt Have USC-R4/2	AC07
NOREAS42	AC08 Oth Reas No USC:No Oth Reasons-R4/2	AC08
SELDSI42	AC08 Oth Reas No USC:Seldm/Nev Sick-R4/2	AC08
NEWARE42	AC08 Oth Reas No USC:Recently Moved-R4/2	AC08
DKWHRU42	AC08 Oth Reas No USC:Dk Where to Go-R4/2	AC08
USCNOT42	AC08 Oth Reas No USC: USC Not Avail-R4/2	AC08
PERSLA42	AC08 Oth Reas No USC: Language - R4/2	AC08
DIFFPL42	AC08 Oth Reas No USC:Diffrnt Places-R4/2	AC08
INSRPL42	AC08 Oth Reas No USC:Just Chngd Ins-R4/2	AC08
MYSELF42	AC08 Oth Reas No USC:No Doc/Trt Slf-R4/2	AC08
CARECO42	AC08 Oth Reas No USC:Cost Of Med Cr-R4/2	AC08
OTHINS42	AC08 Oth Reas No USC: Ins Related-R4/2	AC08
JOBRSN42	AC08 Oth Reas No USC: Job Related-R4/2	AC08
NEWDOC42	AC08 Oth Reas No USC: Lookng for Dr-R4/2	AC08
DOCELS42	AC08 Oth Reas No USC: Dr Elsewhere-R4/2	AC08
NOLIKE42	AC08 Oth Reas No USC: Dont Like Drs-R4/2	AC08
HEALTH42	AC08 Oth Reas No USC: Hlth Related-R4/2	AC08
KNOWDR42	AC08 Oth Reas No USC: Knows/Is a Dr-R4/2	AC08
ONJOB42	AC08 Oth Reas No USC: Dr at Work-R4/2	AC08
NOGODR42	AC08 Oth Reas No USC: Wont Go to Dr-R4/2	AC08
TRANS42	AC08 Oth Reas No USC: Transprt/Time R4/2	AC08
CLINIC42	AC08: Oth Reas No USC: Hosp/ER/Clnic-R4/2	AC08
OTHREA42	AC08 Oth Reas No USC: Other Reason–R4/2	AC08
PROVTY42	Provider Type – R4/2	PV01, PV03, PV05, PV10
FACLPR42	AC10 Does Pers See Particular Prov -R4/2	AC10
PLCTYP42	USC Type of Place – R4/2	AC11
GOTOUS42	AC12 How Does Pers Get to USC Prov–R4/2	AC12
TMTKUS42	AC13 How Long It Takes Get to USC-R4/2	AC13
DFTOUS42	AC14 How Difficult Is It Get to USC–R4/2	AC14
TYPEPE42	USC Type of Provider – R4/2	AC15, AC16, AC16OV, AC17, AC17OV
LOCATN42	USC Location – R4/2	Constructed
HSPLAP42	AC18 Is Provider Hispanic or Latino–R4/2	AC18
WHITPR42	AC19 Is Provider White – R4/2	AC19
BLCKPR42	AC19 Is Provider Black/African Amer-R4/2	AC19
ASIANP42	AC19 Is Provider Asian – R4/2	AC19
NATAMP42	AC19 Is Provider Native American – R4/2	AC19
PACISP42	AC19 Is Provider Oth Pacific Islndr-R4/2	AC19
OTHRCP42	AC19 Is Provider Some Other Race – R4/2	AC19
GENDRP42	AC20 Is Provider Male or Female – R4/2	AC20
MINORP42	AC22 Go To USC For New Health Prob-R4/2	AC22
PREVEN42	AC22 Go To USC For Prvntve Hlt Care-R4/2	AC22
REFFRL42	AC22 Go To USC For Referrals – R4/2	AC22
ONGONG42	AC22 Go To USC For Ongoing Hlth Prb-R4/2	AC22
PHNREG42	AC23 How Diff Contact USC By Phone-R4/2	AC23
OFFHOU42	AC24 USC Has Offce Hrs Nghts/Wkends-R4/2	AC24
AFTHOU42	AC25 How Diff Contact USC Aft Hours-R4/2	AC25
TREATM42	AC26 Prov Ask About Oth Treatments-R4/2	AC26
RESPCT42	AC27 Prov Shows Respect For Trtmnts-R4/2	AC27
DECIDE42	AC28 Prov Asks Pers to Help Decide-R4/2	AC28
EXPLOP42	AC30 Prov Explns Options to Pers – R4/2	AC30
LANGPR42	AC31 Prov Speaks Person’s Language–R4/2	AC31
MDUNAB42	Unable To Get Necessry Medical Care–R4/2	AC32A, AC32, AC33
MDUNRS42	AC34 Rsn Unable Get Necsry Med Care-R4/2	AC34
MDUNPR42	AC35 Prb Not Getting Ncsry Med Care-R4/2	AC35
MDDLAY42	Delayed In Getting Necsry Med Care-R4/2	AC36, AC37
MDDLRS42	AC38 Rsn Dlayd Getting Nec Med Care-R4/2	AC38
MDDLPR42	AC39 Prb Dlayd Getting Nec Med Care-R4/2	AC39
DNUNAB42	Unable To Get Necessary Dental Care-R4/2	AC40A, AC40, AC41
DNUNRS42	AC42 Rsn Unable Get Ncsry Dent Care-R4/2	AC42
DNUNPR42	AC43 Prb Unable Get Ncsry Dent Care-R4/2	AC43
DNDLAY42	Delayed In Getting Nec Dental Care-R4/2	AC44, AC45
DNDLRS42	AC46 Rsn Dlayd Gettng Nec Dent Care-R4/2	AC46
DNDLPR42	AC47 Prb Dlayd Gettng Nec Dent Care-R4/2	AC47
PMUNAB42	Unable to Get Necessary Pres Med – R4/2	AC48A, AC48, AC49
PMUNRS42	AC50 Rsn Unable to Get Nec Pres Med-R4/2	AC50
PMUNPR42	AC51 Prb Unable to Get Nec Pres Med-R4/2	AC51
PMDLAY42	Delayed In Getting Necsry Pres Med-R4/2	AC52, AC53
PMDLRS42	AC54 Rsn Dlayd Getting Nec Pres Med-R4/2	AC54
PMDLPR42	AC55 Prb Dlayd Getting Nec Pres Med-R4/2	AC55

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EMPLOYMENT VARIABLES - PUBLIC USE

VARIABLE	LABEL	SOURCE
EMPST31	Employment Status RD 3/1	EM 1-3; RJ 1, 6
EMPST42	Employment Status RD 4/2	EM 1-3; RJ 1, 6
EMPST53	Employment Status RD 5/3	EM 1-3; RJ 1, 6
RNDFLG31	Data Collection Round for RD 3/1 CMJ	Constructed
MORJOB31	Has More than One Job RD 3/1 Int Date	EM 1-4, 51; RJ 1, 6; Constructed
MORJOB42	Has More than One Job RD 4/2 Int Date	EM 1-4, 51; RJ 1, 6; Constructed
MORJOB53	Has More than One Job RD 5/3 Int Date	EM 1-4, 51; RJ 1, 6; Constructed
EVRWRK	Ever Wrkd for Pay in Life as of 12/31/05	EM 1-4, 51; RJ 1, 6; Constructed
HRWG31X	Hourly Wage RD 3/1 CMJ (Imp)	EW 5, 7, 11-13, 17-18, 24; EM 104, 111
HRWG42X	Hourly Wage RD 4/2 CMJ (Imp)	EW 5, 7, 11-13, 17-18, 24; EM 104, 111
HRWG53X	Hourly Wage RD 5/3 CMJ (Imp)	EW 5, 7, 11-13, 17-18, 24; EM 104, 111
HRWGIM31	HRWG31X Imputation Flag	Constructed
HRWGIM42	HRWG42X Imputation Flag	Constructed
HRWGIM53	HRWG53X Imputation Flag	Constructed
HRHOW31	How Hourly Wage Was Calculated RD 3/1	EM 2-3, 51, 104, 111; EW 2-24
HRHOW42	How Hourly Wage Was Calculated RD 4/2	EM 2-3, 51, 104, 111; EW 2-24
HRHOW53	How Hourly Wage Was Calculated RD 5/3	EM 2-3, 51, 104, 111; EW 2-24
DIFFWG31	Persons Wages Different this RD31 at CMJ	RJ02
DIFFWG42	Persons Wages Different this RD42 at CMJ	RJ02
DIFFWG53	Persons Wages Different this RD53 at CMJ	RJ02
NHRWG31	Updated Hrly Wage RD 3/1 CMJ (Edited)	Constructed
NHRWG42	Updated Hrly Wage RD 4/2 CMJ (Edited)	Constructed
NHRWG53	Updated Hrly Wage RD 5/3 CMJ (Edited)	Constructed
HOUR31	Hours Per Week at RD 3/1 CMJ	EM 1-3, 51, 104-105, 111; EW 17
HOUR42	Hours Per Week at RD 4/2 CMJ	EM 1-3, 51, 104-105, 111; EW 17
HOUR53	Hours Per Week at RD 5/3 CMJ	EM 1-3, 51, 104-105, 111; EW 17
TEMPJB31	Is CMJ a Temporary Job RD 3/1	EM 105C, 111C; RJ 01AA, 06A
TEMPJB42	Is CMJ a Temporary Job RD 4/2	EM 105C, 111C; RJ 01AA, 06A
TEMPJB53	Is CMJ a Temporary Job RD 5/3	EM 105C, 111C; RJ 01AA, 06A
SSNLJB31	Is CMJ a Seasonal Job RD 3/1	EM 105D, 111D; RJ 01AAA, 06AA
SSNLJB42	Is CMJ a Seasonal Job RD 4/2	EM 105D, 111D; RJ 01AAA, 06AA
SSNLJB53	Is CMJ a Seasonal Job RD 5/3	EM 105D, 111D; RJ 01AAA, 06AA
SELFCM31	Self-Employed at RD 3/1 CMJ	EM 1-3, 51; RJ 01
SELFCM42	Self-Employed at RD 4/2 CMJ	EM 1-3, 51; RJ 01
SELFCM53	Self-Employed at RD 5/3 CMJ	EM 1-3, 51; RJ 01
DISVW31X	Disavowed Health Ins at RD 3/1 CMJ (Ed)	EM113, 117; RJ07, 08, 08A; HX and OE Sections
DISVW42X	Disavowed Health Ins at RD 4/2 CMJ (Ed)	EM113, 117; RJ07, 08, 08A; HX and OE Sections
DISVW53X	Disavowed Health Ins at RD 5/3 CMJ (Ed)	EM113, 117; RJ07, 08, 08A; HX and OE Sections
CHOIC31	Choice of Health Plans at RD 3/1 CMJ	EM 1-3, 51, 96, 113-115, 124; RJ08
CHOIC42	Choice of Health Plans at RD 4/2 CMJ	EM 1-3, 51, 96, 113-115, 124; RJ08
CHOIC53	Choice of Health Plans at RD 5/3 CMJ	EM 1-3, 51, 96, 113-115, 124; RJ08
INDCAT31	Industry Group RD 3/1 CMJ	EM 97-100; RJ01; Constructed
INDCAT42	Industry Group RD 4/2 CMJ	EM 97-100; RJ01; Constructed
INDCAT53	Industry Group RD 5/3 CMJ	EM 97-100; RJ01; Constructed
NUMEMP31	Number of Employees at RD 3/1 CMJ	EM 91-92, 124; RJ01
NUMEMP42	Number of Employees at RD 4/2 CMJ	EM 91-92, 124; RJ01
NUMEMP53	Number of Employees at RD 5/3 CMJ	EM 91-92, 124; RJ01
MORE31	RD 3/1 CMJ Firm Has More than 1 Locat	EM 1-3, 51, 94; RJ01
MORE42	RD 4/2 CMJ Firm Has More than 1 Locat	EM 1-3, 51, 94; RJ01
MORE53	RD 5/3 CMJ Firm Has More than 1 Locat	EM 1-3, 51, 94; RJ01
UNION31	Union Status at RD 3/1 CMJ	EM 1-3, 51, 96, 116; RJ01
UNION42	Union Status at RD 4/2 CMJ	EM 1-3, 51, 96, 116; RJ01
UNION53	Union Status at RD 5/3 CMJ	EM 1-3, 51, 96, 116; RJ01
NWK31	Reason Not Working During RD 3/1	EM 1-3, 101-102, 126-127, 132-133, 138-139, 141, 141OV; RJ10
NWK42	Reason Not Working During RD 4/2	EM 1-3, 101-102, 126-127, 132-133, 138-139, 141, 141OV; RJ10
NWK53	Reason Not Working During RD 5/3	EM 1-3, 101-102, 126-127, 132-133, 138-139, 141, 141OV; RJ10
CHGJ3142	Changed Job between RD 3/1 and RD 4/2	RJ01, 01A
CHGJ4253	Changed Job between RD 4/2 and RD 5/3	RJ01, 01A
YCHJ3142	Why Chngd Job between RD 3/1 and RD 4/2	RJ10, 10OV
YCHJ4253	Why Chngd Job between RD 4/2 and RD 5/3	RJ10, 10OV
STJBMM31	Month Started RD 3/1 CMJ	EM10, 10OV, 10OV2; RJ01, 02A
STJBDD31	Day Started RD 3/1 CMJ	EM10, 10OV, 10OV2; RJ01, 01A
STJBYY31	Year Started RD 3/1 CMJ	EM10, 10OV, 10OV2; RJ01, 01A
STJBMM42	Month Started RD 4/2 CMJ	EM10, 10OV, 10OV2; RJ01, 01A
STJBDD42	Day Started RD 4/2 CMJ	EM10, 10OV, 10OV2; RJ01, 01A
STJBYY42	Year Started RD 4/2 CMJ	EM10, 10OV, 10OV2; RJ01, 01A
STJBMM53	Month Started RD 5/3 CMJ	EM10, 10OV, 10OV2; RJ01, 01A
STJBDD53	Day Started RD 5/3 CMJ	EM10, 10OV, 10OV2; RJ01, 01A
STJBYY53	Year Started RD 5/3 CMJ	EM10, 10OV, 10OV2; RJ01, 01A
EVRETIRE	Person Has Ever Retired	EM 1-3, 101-102, 126-127, 132-133, 138-139, 141, 141OV; RJ 02, 10
OCCCAT31	Occupation Group RD 3/1 CMJ	EM99-100; RJ 01, 01A; Constructed
OCCCAT42	Occupation Group RD 4/2 CMJ	EM99-100; RJ 01, 01A; Constructed
OCCCAT53	Occupation Group RD 5/3 CMJ	EM99-100; RJ 01, 01A; Constructed
PAYVAC31	Paid Vacation at RD 3/1 CMJ	EM 1-3, 51, 109; RJ 01, 02
PAYVAC42	Paid Vacation at RD 4/2 CMJ	EM 1-3, 51, 109; RJ 01, 02
PAYVAC53	Paid Vacation at RD 5/3 CMJ	EM 1-3, 51, 109; RJ 01, 02
SICPAY31	Paid Sick Leave at RD 3/1 CMJ	EM 1-3, 51, 107; RJ 01, 02
SICPAY42	Paid Sick Leave at RD 4/2 CMJ	EM 1-3, 51, 107; RJ 01, 02
SICPAY53	Paid Sick Leave at RD 5/3 CMJ	EM 1-3, 51, 107; RJ 01, 02
PAYDR31	Paid Leave to Visit Dr RD 3/1 CMJ	EM 1-3, 51, 107-108; RJ 01, 02
PAYDR42	Paid Leave to Visit Dr RD 4/2 CMJ	EM 1-3, 51, 107-108; RJ 01, 02
PAYDR53	Paid Leave to Visit Dr RD 5/3 CMJ	EM 1-3, 51, 107-108; RJ 01, 02
RETPLN31	Pension Plan at RD 3/1 CMJ	EM 1-3, 51, 110; RJ 01, 02
RETPLN42	Pension Plan at RD 4/2 CMJ	EM 1-3, 51, 110; RJ 01, 02
RETPLN53	Pension Plan at RD 5/3 CMJ	EM 1-3, 51, 110; RJ 01, 02
BSNTY31	Sole Prop, Partner, Corp, RD 3/1 CMJ	EM 1-3, 51, 94-95; RJ 01, 02
BSNTY42	Sole Prop, Partner, Corp, RD 4/2 CMJ	EM 1-3, 51, 94-95; RJ 01, 02
BSNTY53	Sole Prop, Partner, Corp, RD 5/3 CMJ	EM 1-3, 51, 94-95; RJ 01, 02
JOBORG31	Priv (Profit,Nonprofit) Gov RD 3/1 CMJ	EM 1-3, 51, 96; RJ 01, 02
JOBORG42	Priv (Profit,Nonprofit) Gov RD 4/2 CMJ	EM 1-3, 51, 96; RJ 01, 02
JOBORG53	Priv (Profit,Nonprofit) Gov RD 5/3 CMJ	EM 1-3, 51, 96; RJ 01, 02
HELD31X	Health Insur Held from RD 3/1 CMJ (Ed)	EM117; HX, HP and OE Sections
HELD42X	Health Insur Held from RD 4/2 CMJ (Ed)	EM117; HX, HP and OE Sections
HELD53X	Health Insur Held from RD 5/3 CMJ (Ed)	EM117; HX, HP and OE Sections
OFFER31X	Health Insur Offered by RD 3/1 CMJ (Ed)	EM113, 114, 117; RJ and HX Sections
OFFER42X	Health Insur Offered by RD 4/2 CMJ (Ed)	EM113, 114, 117; RJ and HX Sections
OFFER53X	Health Insur Offered by RD 5/3 CMJ (Ed)	EM113, 114, 117; RJ and HX Sections
OFREMP31	Employer Offers Health Ins RD 3/1 CMJ	EM115A, RJ08AAA
OFREMP42	Employer Offers Health Ins RD 4/2 CMJ	EM115A, RJ08AAA
OFREMP53	Employer Offers Health Ins RD 5/3 CMJ	EM115A, RJ08AAA
YNOINS31	Why Not Eligible Health Ins RD 3/1 CMJ	EM115B, RJ08AAAA
YNOINS42	Why Not Eligible Health Ins RD 4/2 CMJ	EM115B, RJ08AAAA
YNOINS53	Why Not Eligible Health Ins RD 5/3 CMJ	EM115B, RJ08AAAA

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HEALTH INSURANCE VARIABLES - PUBLIC USE
MONTHLY HEALTH INSURANCE COVERAGE INDICATORS

VARIABLE	DESCRIPTION	SOURCE
TRImm05X	Covered by TRICARE in mm 05 (Ed), where mm = JA-DE	HX12, 13, PR19-22, HQ Section
MCRmm05	Covered by Medicare in mm 05, where mm = JA-DE	HX05-07, 27, 29, 29OV
MCRmm05X	Covered by Medicare in mm 05 (Ed), where mm = JA-DE	HX05-07, 27, 29, 29OV, see documentation, section 2.6.9, for additional edit specifications
MCDmm05	Cov by Medicaid or SCHIP in mm 05, where mm = JA-DE	HX10-11, PR07-10 and HQ Section
MCDmm05X	Cov by Medicaid or SCHIP in mm 05 (Ed), where mm = JA-DE	MCDmm05, HX14-16, 18-19, 41-43, 45, PR11-14, 23-32, 39-42
OPAmm05	Cov by Other Public A Ins in mm 05, where mm = JA-DE	HX14-15, 41-45, PR 23-32 and HQ Section
OPBmm05	Cov by Other Public B Ins in mm 05, where mm = JA-DE	HX14-15, 41-43, PR23-30 and HQ Section
STAmm05	Covered by Other State Prog in mm 05, where mm = JA-DE	HX16-19, PR35-38 and HQ Section
PUBmm05X	Covr by Any Public Ins in mm 05 (Ed), where mm = JA-DE	TRImm05X, MCRmm05X, MCDmm05X, OPAmm05, OPBmm05
PEGmm05	Covered by Empl Union Ins in mm 05, where mm = JA-DE	HX2-4, 21-24, 48; HP, OE, HQ, EM, RJ Sections
PDKmm05	Covr by Priv Ins (Source Unknwn) mm 05, where mm = JA-DE	HX21-24, 48, HP, OE, and HQ Sections
PNGmm05	Covered by Nongroup Ins in mm 05, where mm = JA-DE	HX21-24, 48, HP, OE, and HQ Sections
POGmm05	Covered by Other Group Ins in mm 05, where mm = JA-DE	HX21-24, 48, HP, OE, and HQ Sections
PRSmm05	Covered by Self-Emp-1 Ins in mm 05, where mm = JA-DE	HX3, 4, 48, HQ, OE, RJ and EM sections
POUmm05	Covered by Holder Outside of RU in mm 05, where mm = JA-DE	HX21-24, 48, HP, OE, and HQ Sections
PRImm05	Covered by Private Ins in mm 05, where mm = JA-DE	POGmm05, PDKmm05, PEGmm05, PRSmm05, POUmm05, PNGmm05
HPEmm05	Holder of Empl Union Ins in mm 05, where mm = JA-DE	PEGmm05, HP9, 11
HPDmm05	Holder of Priv Ins (Source Unknwn) mm 05, where mm = JA-DE	PDKmm05; HP11
HPNmm05	Holder of Nongroup Ins in mm 05, where mm = JA-DE	PNGmm05; HP11
HPOmm05	Holder of Other Group Ins in mm 05, where mm = JA-DE	POGmm05; HP11
HPSmm05	Holder of Self-Emp-1 Ins in mm 05, where mm = JA-DE	PRSmm05; HP9
HPRmm05	Holder of Private Insurance in mm 05, where mm = JA-DE	HPEmm05, HPSmm05, HPOmm05, HPNmm05, HPDmm05
INSmm05X	Covr by Hosp/Med Ins in mm 05 (Ed), where mm = JA-DE	PUBmm05X, PRImm05

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SUMMARY HEALTH INSURANCE COVERAGE INDICATORS

VARIABLE	DESCRIPTION	SOURCE
PRVEV05	Ever Have Private Insurance during 05	Constructed
TRIEV05	Ever Have TRICARE during 05	Constructed
MCREV05	Ever Have Medicare during 05 (ED)	Constructed
MCDEV05	Ever Have Medicaid/SCHIP during 05 (ED)	Constructed
OPAEV05	Ever Have Other Public A Ins during 05	Constructed
OPBEV05	Ever Have Other Public B Ins during 05	Constructed
UNINS05	Uninsured All of 05	Constructed
INSCOV05	Health Insurance Coverage Indicator 05	Constructed

MANAGED CARE VARIABLES

VARIABLE	DESCRIPTION	SOURCE
TRIST31X	Covered by TRICARE Standard – R3/1	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRIST42X	Covered by TRICARE Standard – R4/2	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRIST05X	Covered by TRICARE Standard – 12/31/05	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRIPR31X	Covered by TRICARE Prime – R3/1	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRIPR42X	Covered by TRICARE Prime – R4/2	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRIPR05X	Covered by TRICARE Prime – 12/31/05	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRIEX31X	Covered by TRICARE Extra – R3/1	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRIEX42X	Covered by TRICARE Extra – R4/2	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRIEX05X	Covered by TRICARE Extra – 12/31/05	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRILI31X	Covered by TRICARE for Life – R3/1	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRILI42X	Covered by TRICARE for Life – R4/2	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRILI05X	Covered by TRICARE for Life – 12/31/05	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRICH42X	Covered by TRICARE CHAMPVA – R4/2	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
TRICH05X	Covered by TRICARE CHAMPVA – 12/31/05	HX12, 12A, 13, PR19, 19A, 20-22, HQ Section
MCDHMO31	Covered By Medicaid or SCHIP HMO – R3/1	HX10-11, HX14-16, HX18-19, HX41-43, HX45, PR07-10, PR11-14, PR23-32, PR39-42 and HQ Section
MCDHMO42	Covered By Medicaid or SCHIP HMO – R4/2	HX10-11, HX14-16, HX18-19, HX41-43, HX45, PR07-10, PR11-14, PR23-32, PR39-42 and HQ Section
MCDHMO05	Covred By Medicaid or SCHIP HMO – 12/31/05	HX10-11, HX14-16, HX18-19, HX41-43, HX45, PR07-10, PR11-14, PR23-32, PR39-42 and HQ Section
MCDMC31	Cov By Mcaid/SCHIP Gatekeeper Plan-R3/1	MCDHMO31, HX10-11, HX14-16, HX18-19, HX41-43, HX45, PR07-10, PR11-14, PR23-32, PR39-42 and HQ Section
MCDMC42	Cov By Mcaid/SCHIP Gatekeeper Plan-R4/2	MCDHMO42, HX10-11, HX14-16, HX18-19, HX41-43, HX45, PR07-10, PR11-14, PR23-32, PR39-42 and HQ Section
MCDMC05	Cov By Mcaid/SCHIP Gtkeepr Plan-12/31/05	MCDHMO05, HX10-11, HX14-16, HX18-19, HX41-43, HX45, PR07-10, PR11-14, PR23-32, PR39-42 and HQ Section
PRVHMO31	Covered by Private HMO – R3/1	MC01, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRVHMO42	Covered by Private HMO – R4/2	MC01, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRVHMO05	Covered by Private HMO –12/31/05	MC01, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRVMNC31	Covered by Private Gatekeeper Plan-R3/1	MC01-02, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRVMNC42	Covered by Private Gatekeeper Plan-R4/2	MC01-02, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRVMNC05	Covered by Priv Gatekeeper Plan-12/31/05	MC01-02, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRVDRL31	Cov by Priv Plan w/Doctor List – R3/1	MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRVDRL42	Cov by Priv Plan w/Doctor List – R4/2	MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRVDRL05	Cov by Priv Plan w/Doctor List-12/31/05	MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PHMONP31	Cov by HMO-Pays Non-Plan Dr Visits-R3/1	PRVHMO31, HX60A, MC05, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PHMONP42	Cov by HMO-Pays Non-Plan Dr Visits-R4/2	PRVHMO42, HX60A, MC05, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PHMONP05	Cov by HMO-Pays Non-Plan Drs-12/31/05	PRVHMO05, HX60A, MC05, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PMNCNP31	Cov by Gatekpr-Pays Non-Plan Drs-R3/1	PRVMNC31, MC04, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PMNCNP42	Cov by Gatekpr-Pays Non-Plan Drs-R4/2	PRVMNC42, MC04, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PMNCNP05	Cov by Gatekp-Pays Non-Plan Drs-12/31/05	PRVMNC05, MC04, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRDRNP31	Cov by Dr List-Pays Non-Plan Drs-R3/1	PRVDRL31, MC04, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRDRNP42	Cov by Dr List-Pays Non-Plan Drs-R4/2	PRVDRL42, MC04, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections
PRDRNP05	Cov by Dr List-Pays Non-Plan Dr-12/31/05	PRVDRL05, MC04, MC01-03, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections

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DURATION OF HEALTH INSURANCE VARIABLES

VARIABLE	DESCRIPTION	SOURCE
PREVCOVR	Per Cov by Ins in Prev 2 Yrs–Panl 10 Only	HX64
COVRMM	Month Most Recently Covered–Panel 10 Only	HX65
COVRYY	Year Most Recently Covered–Panel 10 Only	HX65
WASESTB	Was Prev Ins by Empl or Union–Pnl 10 Only	HX66, HX78
WASMCARE	Was Prev Ins by Medicare–Panel 10 Only	HX66, HX78
WASMCAID	Was Prev Ins by Mcaid/SCHIP–Panel 10 Only	HX66, HX78
WASCHAMP	Was Prev Ins TRICARE/Champva–Panl 10 Only	HX66, HX78
WASVA	Was Prev Ins VA/Militar Care–Panl 10 Only	HX66, HX78
WASPRIV	Was Prev Ins Grp/Assoc/Ins Co–Pnl 10 Only	HX66, HX78
WASOTGOV	Was Prev Ins by Oth Gov Prg–Panel 10 Only	HX66, HX78
WASAFDC	Was Prev Ins by Public AFDC–Panel 10 Only	HX66, HX78
WASSSI	Was Prev Ins by SSI Program–Panel 10 Only	HX66, HX78
WASSTAT1	Was Prev Ins by Stat Prog 1–Panel 10 Only	HX66, HX78
WASSTAT2	Was Prev Ins by Stat Prog 2–Panel 10 Only	HX66, HX78
WASSTAT3	Was Prev Ins by Stat Prog 3–Panel 10 Only	HX66, HX78
WASSTAT4	Was Prev Ins by Stat Prog 4–Panel 10 Only	HX66, HX78
WASOTHER	Was Prev Ins by Oth Source–Panel 10 Only	HX66, HX78
NOINSBEF	Evr Wout Hlth Insr Prev Yr–Panel 10 Only	HX70
NOINSTM	# Wks/Mon Wout Hlth Ins Prv Yr–Pnl 10 Onl	HX71
NOINUNIT	Unit Of Time Wout Hlth Ins–Panel 10 Only	HX71OV
MORECOVR	Cov by Mor Compr Pl Prev 2 Yr–Pnl 10 Only	HX76
INSENDMM	Month Most Recently Covd–Panel 10 Only	HX77
INSENDYY	Year Most Recently Covd–Panel 10 Only	HX77

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OTHER HEALTH INSURANCE COVERAGE VARIABLES

VARIABLE	DESCRIPTION	SOURCE
TRICR31X	Cov by TRICARE - R3/1 Int Dt (Ed)	Constructed
TRICR42X	Cov by TRICARE - R4/2 Int Dt (Ed)	Constructed
TRICR53X	Cov by TRICARE 12-31/R3 Int Dt (Ed)	Constructed
TRICR05X	Cov by TRICARE - 12/31/05 (Ed)	Constructed
TRIAT31X	Any Time Cov TRICARE - R3/1	Constructed
TRIAT42X	Any Time Cov TRICARE - R4/2	Constructed
TRIAT53X	Any Time Cov TRICARE - R5/3	Constructed
TRIAT05X	Any Time Cov TRICARE - 12/31/05	Constructed
MCAID31	Cov by Medicaid or SCHIP - R3/1 Int Dt	Constructed
MCAID42	Cov by Medicaid or SCHIP - R4/2 Int Dt	Constructed
MCAID53	Cov by Medicaid or SCHIP 12-31/R3 Int Dt	Constructed
MCAID05	Cov by Medicaid or SCHIP - 12/31/05	Constructed
MCAID31X	Cov by Medicaid/SCHIP - R3/1 Int Dt (Ed)	Constructed
MCAID42X	Cov by Medicaid/SCHIP - R4/2 Int Dt (Ed)	Constructed
MCAID53X	Cov Medicaid/SCHIP 12-31/R3 Int Dt(Ed)	Constructed
MCAID05X	Cov by Medicaid or SCHIP - 12/31/05 (Ed)	Constructed
MCARE31	Cov by Medicare - R3/1 Int Dt	Constructed
MCARE42	Cov by Medicare - R4/2 Int Dt	Constructed
MCARE53	Cov by Medicare 12-31/R3 Int Dt	Constructed
MCARE05	Cov by Medicare - 12/31/05	Constructed
MCARE31X	Cov by Medicare - R3/1 Int Dt (Ed)	Constructed
MCARE42X	Cov by Medicare - R4/2 Int Dt (Ed)	Constructed
MCARE53X	Cov by Medicare 12-31/R3 Int Dt (Ed)	Constructed
MCARE05X	Cov by Medicare - 12/31/05 (Ed)	Constructed
MCDAT31X	Any Time Cov Medicaid or SCHIP - R3/1	Constructed
MCDAT42X	Any Time Cov Medicaid or SCHIP - R4/2	Constructed
MCDAT53X	Any Time Cov Medicaid or SCHIP - R5/3	Constructed
MCDAT05X	Any Time Cov Medicaid or SCHIP-12/31/05	Constructed
OTPAAT31	Any Time Cov Ot Gov Mcaid/SCHIP HMO-R3/1	Constructed
OTPAAT42	Any Time Cov Ot Gov Mcaid/SCHIP HMO-R4/2	Constructed
OTPAAT53	Any Time Cov Ot Gov Mcaid/SCHIP HMO-R5/3	Constructed
OTPAAT05	Any Cov Ot Gov Mcaid/SCHIP HMO-12/31/05	Constructed
OTPBAT31	Any Cov Ot Gov Not Mcaid/SCHIP HMO-R3/1	Constructed
OTPBAT42	Any Cov Ot Gov Not Mcaid/SCHIP HMO-R4/2	Constructed
OTPBAT53	Any Cov Ot Gov Not Mcaid/SCHIP HMO-R5/3	Constructed
OTPBAT05	Any Cv Ot Gv Nt Mcaid/SCHIP HMO-12/31/05	Constructed
OTPUBA31	Cov/Pay Oth Gov Mcaid/SCHIP HMO-R3/1 Int	Constructed
OTPUBA42	Cov/Pay Oth Gov Mcaid/SCHIP HMO-R4/2 Int	Constructed
OTPUBA53	Cov/Pay Oth Gov Mcaid/SCHIP HMO 12-31/R3	Constructed
OTPUBA05	Cov/Pay Oth Gov Mcaid/SCHIP HMO-12/31/05	Constructed
OTPUBB31	Cov Oth Gov Not Mcaid/SCHIP HMO-R3/1 Int	Constructed
OTPUBB42	Cov Oth Gov Not Mcaid/SCHIP HMO-R4/2 Int	Constructed
OTPUBB53	Cov Oth Gov Not Mcaid/SCHIP HMO 12-31/R3	Constructed
OTPUBB05	Cov Oth Gov Not Mcaid/SCHIP HMO-12/31/05	Constructed
PRIDK31	Cov by Priv Ins (Dk Plan) - R3/1 Int	Constructed
PRIDK42	Cov by Priv Ins (Dk Plan) - R4/2 Int	Constructed
PRIDK53	Cov by Priv Ins (Dk Plan) 12-31/R3 Int	Constructed
PRIDK05	Cov by Priv Ins (Dk Plan) - 12/31/05	Constructed
PRIEU31	Cov by Empl/Union Grp Ins - R3/1 Int Dt	Constructed
PRIEU42	Cov by Empl/Union Grp Ins - R4/2 Int Dt	Constructed
PRIEU53	Cov by Empl/Union Grp Ins 12-31/R3 Int	Constructed
PRIEU05	Cov by Empl/Union Grp Ins - 12/31/05	Constructed
PRING31	Cov by Non-Group Ins - R3/1 Int Dt	Constructed
PRING42	Cov by Non-Group Ins - R4/2 Int Dt	Constructed
PRING53	Cov by Non-Group Ins 12-31/R3 Int Dt	Constructed
PRING05	Cov by Non-Group Ins - 12/31/05	Constructed
PRIOG31	Cov by Other Group Ins - R3/1 Int Dt	Constructed
PRIOG42	Cov by Other Group Ins - R4/2 Int Dt	Constructed
PRIOG53	Cov by Other Group Ins 12-31/R3 Int Dt	Constructed
PRIOG05	Cov by Other Group Ins - 12/31/05	Constructed
PRIS31	Cov by Self-Emp-1 Ins - R3/1 Int Dt	Constructed
PRIS42	Cov by Self-Emp-1 Ins - R4/2 Int Dt	Constructed
PRIS53	Cov by Self-Emp-1 Ins 12-31/R3 Int Dt	Constructed
PRIS05	Cov by Self-Emp-1 Ins - 12/31/05	Constructed
PRIV31	Cov by Priv Hlth Ins - R3/1 Int Date	Constructed
PRIV42	Cov by Priv Hlth Ins - R4/2 Int Date	Constructed
PRIV53	Cov by Priv Hlth Ins 12-31/R3 Int Date	Constructed
PRIV05	Cov by Priv Hlth Ins - 12/31/05	Constructed
PRIVAT31	Any Time Cov Private Ins - R3/1	Constructed
PRIVAT42	Any Time Cov Private Ins - R4/2	Constructed
PRIVAT53	Any Time Cov Private Ins - R5/3	Constructed
PRIVAT05	Any Time Cov Private Ins - 12/31/05	Constructed
PROUT31	Cov by Someone Out Of Ru - R3/1 Int	Constructed
PROUT42	Cov by Someone Out Of Ru - R4/2 Int	Constructed
PROUT53	Cov by Someone Out Of Ru 12-31/R3 Int Dt	Constructed
PROUT05	Cov by Someone Out Of Ru - 12/31/05	Constructed
PUB31X	Cov by Public Ins - R3/1 Int Dt (Ed)	Constructed
PUB42X	Cov by Public Ins - R4/2 Int Dt (Ed)	Constructed
PUB53X	Cov by Public Ins 12-31/R3 Int Dt (Ed)	Constructed
PUB05X	Cov by Public Ins - 12/31/05 (Ed)	Constructed
PUBAT31X	Any Time Cov by Public - R3/1	Constructed
PUBAT42X	Any Time Cov by Public - R4/2	Constructed
PUBAT53X	Any Time Cov by Public - R5/3	Constructed
PUBAT05X	Any Time Cov by Public - 12/31/05	Constructed
INS31X	Insured - R3/1 Int Date (Ed)	Constructed
INS42X	Insured - R4/2 Int Date (Ed)	Constructed
INS53X	Insured 12-31/R3 Int Date (Ed)	Constructed
INS05X	Insured - 12/31/05 (Ed)	Constructed
INSAT31X	Insured Any Time in R3/1	Constructed
INSAT42X	Insured Any Time in R4/2	Constructed
INSAT53X	Insured Any Time in R5/3	Constructed
INSAT05X	Insured Any Time in R3 until 12/31/05/R5	Constructed
STAPR31	Cov by State-Spec Prog - R3/1 Int Dt	Constructed
STAPR42	Cov by State-Spec Prog - R4/2 Int Dt	Constructed
STAPR53	Cov by State-Spec Prog 12-31/R3 Int Dt	Constructed
STAPR05	Cov by State-Spec Prog - 12/31/05	Constructed
STPRAT31	Any Time Coverage by State Ins - R3/1	Constructed
STPRAT42	Any Time Coverage by State Ins - R4/2	Constructed
STPRAT53	Any Time Coverage by State Ins - R5/3	Constructed
STPRAT05	Any Time Cov by State Ins - 12/31/05	Constructed
EVRUNINS	Ever Uninsured in 05 Using PRIV/PUBX	Constructed
EVRUNAT	Ever Uninsured in 05 Using PRIVAT/PUBATX	Constructed

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DENTAL AND PRESCRIPTION DRUG PRIVATE INSURANCE VARIABLES

VARIABLE	DESCRIPTION	SOURCE
DENTIN31	Dental Insurance– RD 3/1	HX48, OE10, OE24, OE37
DENTIN42	Dental Insurance– RD 4/2	HX48, OE10, OE24, OE37
DENTIN53	Dental Insurance– RD 5/3	HX48, OE10, OE24, OE37
PMEDIN31	Prescription Drug Insurance – RD 3/1	HX48, OE10, OE24, OE37
PMEDIN42	Prescription Drug Insurance – RD 4/2	HX48, OE10, OE24, OE37
PMEDIN53	Prescription Drug Insurance – RD 5/3	HX48, OE10, OE24, OE37

Prescription Drug Usual Third Party Payer Variables

VARIABLE	DESCRIPTION	SOURCE
PMEDUP31	Has Usual 3rd Party Payer for PMEDS – R3/1	CP01A
PMEDUP42	Has Usual 3rd Party Payer for PMEDS – R4/2	CP01A
PMEDUP53	Has Usual 3rd Party Payer for PMEDS – R5/3	CP01A
PMEDPY31	Usual 3rd Party Payer for PMEDS – R3/1	CP01B
PMEDPY42	Usual 3rd Party Payer for PMEDS – R4/2	CP01B
PMEDPY53	Usual 3rd Party Payer for PMEDS – R5/3	CP01B

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EXPERIENCES WITH PUBLIC PLAN VARIABLES – PUBLIC USE

VARIABLE	LABEL	SOURCE
GDCPBM42	Mcaid/O Pub: Prob Getting Pers Doc-R4/2	SP24
APRTRM42	Mcaid/O Pub: Need Apprvl 4 Treatmnt-R4/2	SP25
APRDLM42	Mcaid/O Pub: Delay Waiting 4 Apprvl-R4/2	SP26
LKINFM42	Mcaid/O Pub: Info on How Plan Works-R4/2	SP27
PBINFM42	Mcaid/O Pub: Problem Finding Info-R4/2	SP28
CSTSVM42	Mcaid/O Pub: Call Customer Service-R4/2	SP29
PBSVCM42	Mcaid/O Pub: Prob Get Help Fr Csrvc-R4/2	SP30
PPRWKM42	Mcaid/O Pub:Fill out Paperwrk 4 Pln-R4/2	SP31
PBPWKM42	Mcaid/O Pub: Prob w Plan Paperwork-R4/2	SP32
RTPLNM42	Mcaid/O Pub: Rate Experience w Plan-R4/2	SP33
GDCPBT42	TRICR/CHAMV: Prob Getting Pers Doc-R4/2	SP35
APRTRT42	TRICR/CHAMV: Need Apprvl 4 Treatmnt-R4/2	SP36
APRDLT42	TRICR/CHAMV: Delay Waiting 4 Apprvl-R4/2	SP37
LKINFT42	TRICR/CHAMV: Info on How Plan Works-R4/2	SP38
PBINFT42	TRICR/CHAMV: Problem Finding Info-R4/2	SP39
CSTSVT42	TRICR/CHAMV: Call Customer Service-R4/2	SP40
PBSVCT42	TRICR/CHAMV: Prob Get Help Fr Cst Srvc-R4/2	SP41
PPRWKT42	TRICR/CHAMV: Fill Out Paperwrk 4 Pln-R4/2	SP42
PBPWKT42	TRICR/CHAMV: Prob w Plan Paperwork-R4/2	SP43
RTPLNT42	TRICR/CHAMV: Rate Experience w Plan-R4/2	SP44

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PERSON-LEVEL UTILIZATION VARIABLES - PUBLIC USE

VARIABLE	DESCRIPTION	SOURCE
OBTOTV05	# Office-Based Provider Visits 2005	Constructed
OBDRV05	# Office-Based Physician Visits 2005	Constructed
OBOTHV05	# Office-Based Non-Physician Vsts 2005	Constructed
OBCHIR05	# Office-Based Chiropractor Visits 2005	Constructed
OBNURS05	# Off-Based Nurse/Practitioner Vsts 2005	Constructed
OBOPTO05	# Office-Based Optometrist Visits 2005	Constructed
OBASST05	# Office-Based Physician Ass’t Vsts 2005	Constructed
OBTHER05	# Office-Based PT/OT Visits 2005	Constructed
OPTOTV05	# Outpatient Dept Provider Visits 2005	Constructed
OPDRV05	# Outpatient Dept Physician Visits 2005	Constructed
OPOTHV05	# Outpatient Dept Non-DR Visits 2005	Constructed
AMCHIR05	# Chiropractor Visits (Office-based plus Outpatient) 2005	Constructed
AMNURS05	# Ambulatory Nurse/Practitioner Visits (Office-based plus Outpatient) 2005	Constructed
AMOPTO05	# Ambulatory Optometrist Visits (Office-based plus Outpatient) 2005	Constructed
AMASST05	# Physician Assistant Visitts (Office-based plus Outpatient) 2005	Constructed
AMTHER05	# Ambulatory PT/OT Therapy Visits (Office-based plus Outpatient) 2005	Constructed
ERTOT05	# Emergency Room Visits 2005	Constructed
IPZERO05	# Zero-Night Hospital Stays 2005	Constructed
IPDIS05	# Hospital Discharges 2005	Constructed
IPNGT05	# Nights in Hosp for Discharges 2005	Constructed
DVTOT05	# Dental Care Visits 2005	Constructed
DVGEN05	# General Dentist Visits 2005	Constructed
DVORTH05	# Orthodontist Visits 2005	Constructed
HHTOTD05	# Home Health Provider Days 2005	Constructed
HHAGD05	# Agency Home Health Provider Days 2005	Constructed
HHINDD05	# Non-Agency Home Hlth Providr Days 2005	Constructed
HHINFD05	# Informal Home Hlth Provider Days 2005	Constructed
RXTOT05	# Prescribed Medicines including Refills 2005	Constructed

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WEIGHTS VARIABLES - PUBLIC USE

VARIABLE	DESCRIPTION	SOURCE
PERWT05F	Use File Person Weight	Constructed
FAMWT05F	Expenditure File Family Weight, 2005	Constructed
FAMWT05C	Expenditure File Family Weight-CPS Family on 12/31/05	Constructed
SAQWT05F	Use File SAQ Weight	Constructed
DIABW05F	Use File Diabetes Care Supplement Weight	Constructed
VARSTR	Variance Estimation Stratum - 2005	Constructed
VARPSU	Variance Estimation PSU - 2005	Constructed

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Appendix 1: Summary of Utilization and Expenditure Variables by Health Service Category

HEALTH SERVICE CATEGORY	UTILIZATION VARIABLE(S)	EXPENDITURE VARIABLE(S)¹
*All Health Services*	--	TOT***05

*Office Based Visits*
Total Office Based Visits (Physician + Non-physician + Unknown)	OBTOTV05	OBV***05
Office Based Visits to Physicians	OBDRV05	OBD***05
Office Based Visits to Non-Physicians	OBOTHV05	OBO***05
Office Based Visits to Chiropractors	OBCHIR05	OBC***05
Office Based Nurse or Nurse Practitioner Visits	OBNURS05	OBN***05
Office Based Visits to Optometrists	OBOPTO05	OBE***05
Office Based Physician Assistant Visits	OBASST05	OBA***05
Office Based Physical or Occupational Therapist Visits	OBTHER05	OBT***05

*Hospital Outpatient Visits*
Total Outpatient Visits (Physician + Non-physician + Unknown)	OPTOTV05	--
Facility Expense	--	OPF***05
SBD Expense	--	OPD***05

Outpatient Visits to Physicians	OPDRV05	--
Facility Expense	--	OPV***05
SBD Expense	--	OPS***05

Outpatient Visits to Non-Physicians	OPOTHV05	--
Facility Expense	--	OPO***05
SBD Expense	--	OPP***05

HEALTH SERVICE CATEGORY	UTILIZATION VARIABLE(S)	EXPENDITURE VARIABLE(S)
*Emergency Room Visits*
Total Emergency Room Visits	ERTOT05	--
Facility Expense	--	ERF***05
SBD Expense	--	ERD***05

*Inpatient Hospital Stays (Including Zero Night Stays)*
Total Inpatient Stays (Including Zero Night Stays)	IPDIS05, IPNGTD05	--
Facility Expense	--	IPF***05
SBD Expense	--	IPD***05

Zero night Hospital Stays	IPZERO05	--
Facility Expense	--	ZIF***05
SBD Expense	--	ZID***05

*Dental Visits*
Total Dental Visits	DVTOT05	DVT***05
General Dental Visits	DVGEN05	DVG***05
Orthodontist Visits	DVORTH05	DVO***05

*Home Health Care*
Total Home Health Care	HHTOTD05	--
Agency Sponsored	HHAGD05	HHA***05
Paid Independent Providers	HHINDD05	HHN***05
Informal	HHINFD05	--

*Other*
Vision Aids	--	VIS***05
Other Medical Supplies and Equipment	--	OTH***05
Prescription Medicines2	RXTOT05	RX***05

KEY: To complete variable name, replace *** with a particular source of payment category as identified in the following table:

Source of Payment Category	***
Total payments (sum of all sources)	EXP
Out of Pocket	SLF
Medicare	MCR
Medicaid	MCD
Private Insurance	PRV
Veteran’s Administration	VA
TRICARE	TRI
Other Federal Sources	OFD
Other State and Local Sources	STL
Workers’ Compensation	WCP
Other Private	OPR
Other Public	OPU
Other Unclassified Sources	OSR

Total charges²	TCH

¹ See key at end of table for specific categories for ***.

² No charge variables on file for prescription medicines.

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