MEPS HC-050: 2000 Full Year Consolidated Data File
June 2003
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 HouseholdComponent
2.0 Medical Provider Component
3.0 Insurance Component
4.0 Survey Management
C. Technical and Programming Information
1.0 General Information
2.0 Data File Information
2.1 Codebook Structure
2.2 Reserved Codes
2.3 Codebook Format
2.4 Variable Naming
2.5 File Contents
2.5.1 Survey Administration Variables
2.5.2 Navigating the MEPS Data with Information on Person Disposition Status
2.5.3 Geographic Variables
2.5.4 Demographic Variables
2.5.5 Income and Tax Filing Variables
2.5.5.1 Income Top-Coding
2.5.5.2 Poverty Status
2.5.6 Employment Variables
2.5.7 Health Insurance Variables (TRIJA00X-PMEDIN53)
2.5.7.1 Monthly Health Insurance Indicators (TRIJA00X-INSDE00X)
2.5.7.2 Summary Insurance Coverage Indicators (PRVEV00 - INSCOV00)
2.5.7.3 Managed Care Variables (MCDHMO31-PRVMNC00)
2.5.7.4 Unedited Health Insurance Variables (PREVCOVR-LIMITOT) Duration of Uninsurance
2.5.7.5 Health Insurance Coverage Variables (TRICR31X-INSAT00X)
2.5.7.6 Dental and Prescription Drug Private Insurance Variables (DENTIN31-DENTIN53)
2.5.8 Disability Days Indicator Variables (DDNWRK31-OTHNDD53)
2.5.9 Access to Care Variables (ACCELI42-OTHRPR42)
2.5.10 Health Status Variables (RTHLTH31-DSPRX53)
2.5.11 2000 Parent Administered Questionnaire (PAQ)
2.5.12 Utilization, Expenditures and Source of Payment Variables (TOTTCH00-RXOSR00)
2.5.12.1 Expenditures Definition
2.5.12.2 Utilization and Expenditure Variables by Type of Medical Service
3.0 Survey Sample Information
3.1 Sample Design and Response Rates
3.2 Person-level Estimation using this MEPS Public Use Release
3.3 Family-level Estimation Using this MEPS Public Use Release
3.4 Analysis Using HIEUs
3.5 Weights and Response Rates for the Self Administered/Parent Administered Questionnaire
3.6 Weights and Response Rates for the Diabetes Care Survey
3.7 Variance Estimation
3.8 Guidelines for which weight to use for analysis involving data/variables from multiple sources and supplements: MEPS 2000 full-year use file
D. Variable-Source Crosswalk
Appendix 1: Summary of Utilization and Expenditure Variables by Health Service Category A1-1
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:
1. No one is to use the data in this data set
in any way except for statistical reporting and analysis; and
2. 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
3. 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.
Return To Table Of Contents
B.
Background
The Medical Expenditure Panel Survey (MEPS)
provides nationally representative estimates of health care use, expenditures,
sources of payment, and insurance coverage for the U.S. civilian
non-institutionalized population. MEPS is cosponsored by the Agency for
Healthcare Research and Quality (AHRQ) and the National Center for Health
Statistics (NCHS).
MEPS is a family of three surveys. The
Household Component (HC) is the core survey and forms the basis for the Medical
Provider Component (MPC) and part of the Insurance Component (IC). Together
these surveys yield comprehensive data that provide national estimates of the
level and distribution of health care use and expenditures, support health
services research, and can be used to assess health care policy implications.
MEPS is the third in a series of national
probability surveys conducted by AHRQ on the financing and use of medical care
in the United States. The National Medical Care Expenditure Survey (NMCES, also
known as NMES-1) was conducted in 1977 and the National Medical Expenditure
Survey (NMES-2) in 1987. Since 1996, MEPS continues this series with design
enhancements and efficiencies that provide a more current data resource to
capture the changing dynamics of the health care delivery and insurance system.
The design efficiencies incorporated into
MEPS are in accordance with the Department of Health and Human Services (DHHS)
Survey Integration Plan of June 1995, which focused on consolidating DHHS
surveys, achieving cost efficiencies, reducing respondent burden, and enhancing
analytical capacities. To advance these goals, MEPS includes linkage with the
National Health Interview Survey (NHIS) - a survey conducted by NCHS from which
the sample for the MEPS HC is drawn - and enhanced longitudinal data collection
for core survey components. The MEPS HC augments NHIS by selecting a sample of
NHIS respondents, collecting additional data on their health care expenditures,
and linking these data with additional information collected from the
respondents' medical providers, employers, and insurance providers.
Return To Table Of Contents
1.0 Household Component
The MEPS HC, a nationally representative
survey of the U.S. civilian non-institutionalized population, collects medical
expenditure data at both the person and household levels. The HC collects
detailed data on demographic characteristics, health conditions, health status,
use of medical care services, charges and payments, access to care, satisfaction
with care, health insurance coverage, income, and employment.
The HC uses an overlapping panel design in
which data are collected through a preliminary contact followed by a series of
five rounds of interviews over a 2 ½-year period. Using computer-assisted
personal interviewing (CAPI) technology, data on medical expenditures and use
for two calendar years are collected from each household. This series of data
collection rounds is launched each subsequent year on a new sample of households
to provide overlapping panels of survey data and, when combined with other
ongoing panels, will provide continuous and current estimates of health care
expenditures.
The sampling frame for the MEPS HC is drawn
from respondents to NHIS. NHIS provides a nationally representative sample of
the U.S. civilian non-institutionalized population, with oversampling of
Hispanics and blacks.
Return To Table Of Contents
2.0 Medical Provider Component
The MEPS MPC supplements and/or replaces information on medical
care events reported in the MEPS HC by contacting medical providers and
pharmacies identified by household respondents. The MPC sample includes all home
health agencies and pharmacies reported by HC respondents. Office-based
physicians, hospitals, and hospital physicians are also included in the MPC but
may be subsampled at various rates, depending on burden and resources, in
certain years.
Data are collected on medical and financial characteristics of
medical and pharmacy events reported by HC respondents. The MPC is conducted
through telephone interviews and record abstraction.
Return To Table Of Contents
3.0 Insurance Component
The MEPS IC collects data on health insurance
plans obtained through private and public-sector employers. Data obtained in the
IC include the number and types of private insurance plans offered, benefits
associated with these plans, premiums, contributions by employers and employees,
eligibility requirements, and employer characteristics.
Establishments participating in the MEPS IC
are selected through three sampling frames:
. A list of employers or other insurance
providers identified by MEPS HC respondents who report having private health
insurance at the Round 1 interview.
. A Bureau of the Census list frame of
private sector business establishments.
. The Census of Governments from Bureau of
the Census.
To provide an integrated picture of health
insurance, data collected from the first sampling frame (employers and insurance
providers identified by MEPS HC respondents) are linked back to data provided by
those respondents. Data from the two Census Bureau sampling frames are used to
produce annual national and state estimates of the supply and cost of private
health insurance available to American workers and to evaluate policy issues
pertaining to health insurance. National estimates of employer contributions to
group insurance from the MEPS IC are used in the computation of Gross Domestic
Product (GDP) by the Bureau of Economic Analysis.
The MEPS IC is an annual panel survey. Data
are collected from the selected organizations through a prescreening telephone
interview, a mailed questionnaire, and a telephone follow-up for nonrespondents.
Return To Table Of Contents
4.0 Survey Management
MEPS data are collected under the authority of the Public Health
Service Act. They are edited and published in accordance with the
confidentiality provisions of this act and the Privacy Act. 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,
microdata files and compendiums of tables. Data are released through MEPSnet, an
online interactive tool developed to give users the ability to statistically
analyze MEPS data in real time. Summary reports and compendiums of tables are
released as printed documents and electronic files. Microdata files are released
on electronic files.
Selected printed documents are available through the AHRQ
Publications Clearinghouse. Write or call:
AHRQ Publications Clearinghouse
Attn: (publication number)
P.O. Box 8547
Silver Spring, MD 20907
800-358-9295
410-381-3150 (callers outside the United States only)
888-586-6340 (toll-free TDD service; hearing impaired only)
Be sure to specify the AHRQ number of the document you are
requesting.
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
Return To Table Of Contents
C.
Technical and Programming Information
1.0 General Information
This documentation describes the 2000 full-year population
characteristics data file from the Medical Expenditure Panel Survey Household
Component (MEPS HC). Released as an ASCII file (with related SAS programming
statements) and a SAS transport dataset, this public use file provides
information collected on a nationally representative sample of the civilian
non-institutionalized population of the United States for calendar year 2000.
This file consists of MEPS survey data obtained in Rounds 3, 4, and 5 of Panel 4
and Rounds 1, 2, and 3 of Panel 5, the rounds for the MEPS panels covering
calendar year 2000, and contains variables pertaining to survey administration,
demographics, employment, health status, quality of care, patient satisfaction,
health insurance, income and person-level medical care use and expenditure.
The following documentation offers a brief overview of the types
and levels of data provided, the 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 2000 full-year
population characteristics data file is provided in a separate file (H50CB.PDF).
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.
Return To Table Of Contents
2.0 Data File Information
This public use dataset contains variables
and frequency distributions associated with 25,096 persons who participated in
the MEPS Household Component of the Medical Expenditure Panel Survey in 2000.
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 2000: Rounds 3, 4, and 5 of Panel 4 or
Rounds 1, 2, and 3 of Panel 5. Of these persons, 23,839 were assigned a positive
person-level weight. There were 9,515 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
(PERWT00F) provided on this file, data for persons with a positive person-level
weight can be used to make estimates for the civilian non-institutionalized U.
S. population for 2000.
The records on this file can be linked to all
other 2000 MEPS-HC public use data sets by the sample person identifier (DUPERSID).
Panel 4 cases (PANEL00=4) can be linked back to the 1999 MEPS-HC public use data
files. However, the user should be aware that, at this time, no weight is
provided to facilitate two-year analysis of Panel 4 data.
Return To Table Of Contents
2.1 Codebook Structure
The codebook and data file sequence lists variables in the
following order:
. Unique person identifiers
. Geographic variables
. Demographic variables
. Health status variables
. Employment variables
. Health insurance variables
. Medical usage count variables
. Weight and variance estimation variables
Return To Table Of Contents
2.2 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 >= $57.69 |
Hourly wage was top-coded for confidentiality |
Return To Table Of Contents
2.3
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 |
Return To Table Of Contents
2.4 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 4 and Round 1, 2, or 3 of Panel 5. Unless otherwise noted, variables
that end in "00" represent status as of December 31, 2000.
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; (4) variables constructed from multiple questions using
complex algorithms are labeled "Constructed."
Return To Table Of Contents
2.5 File Contents
2.5.1
Survey Administration Variables
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,
2000. Variable names ending in "xy" represent variables relevant to Round "x" of
Panel 4 or Round "y" of Panel 5. For example, RULETR53 is a variable relevant to
Round 5 of Panel 4 or Round 3 of Panel 5, depending on the panel in which the
person was included. The variable PANEL00 indicates the panel in which the
person participated.
The December 31, 2000 variables were
developed in two ways. Those used in the construction of eligibility, 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. 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 dwelling unit.
The variable DUPERSID is the combination of the variables DUID and PID.
PANEL00 is a constructed variable used to
specify the panel number for the person. PANEL00 will indicate either Panel 4 or
Panel 5 for each person on the file. Panel 4 is the panel that started in 1999,
and Panel 5 is the panel that started in 2000.
A Reporting Unit (RU) is a person or group of
persons in the sampled dwelling unit 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, 2000 or
the last round they were in the survey) is indicated by the RULETR00 variable.
Regardless of the legal status of their association, two persons living together
as a "family" unit were treated as a single reporting unit if they chose to be
so identified. Examples of different types of reporting units are:
1. A married daughter and her husband living
with her parents in the same dwelling unit constitute a single reporting unit
2. A husband and wife and their unmarried daughter, age 18, who is living away
from home while at college constitute two reporting units
3. Three unrelated persons living in the same dwelling unit would each
constitute a distinct reporting unit (a total of three reporting units)
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 reporting unit 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 RUSIZE00 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 reporting units
would be combined with their parents' reporting unit, treating the combined
entity as a single family. Family identifier and size variables are described
below and include students with their parents' reporting unit.
The round-specific variables FAMID31,
FAMID42, FAMID53, and the end-of-year status variable FAMID00 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, 2000.
The FAMID variables differ from the RULETR variables only in that student
reporting units are combined with their parents' reporting unit.
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 3.3.
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 2000. 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. 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 FAMSZE00 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, RUSIZE00, FAMSZE31, FAMSZE42, FAMSZE53, and FAMSZE00 exclude persons
who are ineligible for data collection (i.e., those where ELGRND31 NE 1,
ELGRND42 NE 1, ELGRND53 NE 1 or ELGRND00 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:
-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 |
80 |
Entire RU merged with other RU |
81 |
Entire RU deceased before 1/1/00 |
82 |
Entire RU is in military before 1/1/00 |
83 |
RU institutionalized before 1/1/00 |
84 |
Entire RU left U.S. before 1/1/00 |
85 |
RU ineligible before 1/1/00, 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 1/1/00 |
95 |
RU member institutionalized after 1/1/00, No proxy |
96 |
RU member deceased after 1/1/00, 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:
-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 1/1/00 |
82 |
Entire RU is in military before 1/1/00 |
83 |
RU institutionalized before 1/1/00 |
84 |
Entire RU left U.S. before 1/1/00 |
85 |
RU ineligible before 1/1/00, 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 1/1/00 |
95 |
RU member institutionalized after 1/1/00, No proxy |
96 |
RU member deceased after 1/1/00, 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. RUCLAS00 was set based on the
RUCLASS values from Rounds 3/1, 4/2, and 5/3. If the person was present in the
responding RU in Round 5/3, then RUCLAS00 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
RUCLAS00 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 RUCLAS00 was set to RUCLAS31. If the
person was not linked to a responding RU during any round, then RUCLAS00 was set
to -9.
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, 2000 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, ENDRFM00, ENDRFD00, and ENDRFY00. 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 REFPRS00 identify the
reference person for Rounds 3/1, 4/2 and 5/3, and as of December 31, 2000 (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 Re-enumeration 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 RESP00 identify
the respondent for Rounds 3/1, 4/2, and 5/3 and as of December 31, 2000 (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 PROXY00 identify the type of respondent for Rounds 3/1, 4/2, 5/3
and as of December 31, 2000 (or the last round they were in the survey).
Language of Interview
Language of interview (INTVLANG) was
documented in the Closing section of the interview, and has the following
possible values:
1 |
ENGLISH |
2 |
SPANISH |
3 |
ENGLISH & SPANISH |
91 |
OTHER LANGUAGE |
-1 |
INAPPLICABLE |
Although this question is round-specific, the
responses were summarized to the person-level variable, INTVLANG. The hierarchy
used in determining the value is as follows: 1) assign the value from the first
round with a reported value recorded for each person; 2) if one is not recorded
at the person level, then assign the first recorded value within the reporting
unit (RU); 3) if one is not available at that level, then assign the first
recorded value of the dwelling unit (DU); 4) if no value is available, then a
value of -1 is assigned.
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, INSCOP00, INSC1231, INSCOPE, ELGRND31, ELGRND42, ELGRND53, ELGRND00,
ELIGIBLE, 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 reporting unit 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 non-institutionalized
population for at least one day during 2000. 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,
"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 2000,
then newborns should be identified using AGE00X = 0 rather than PSTATSxy = 51.
Inscope
A person was considered as inscope during a
round if he or she was a member of the U.S. civilian, non-institutionalized
population at some time during that round. The round-specific variables
INSCOP31, INSCOP42, and INSCOP53 indicate a person's inscope status for Rounds
3/1, 4/2, and 5/3. INSCOP00 indicates a person's inscope status for the portion
of round 5/3 that covers 2000. 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).
The INSCOPE variable indicates whether a person was ever inscope during the
calendar year 2000. INSCOP31, INSCOP42, INSCOP53, and INSCOP00 will contain the
following values and corresponding labels (for INSCOP00, "reference period" in
the description below is the portion of Round 5/3 in 2000):
0 |
Incorrectly listed, or on NHIS roster but
out-of-scope prior to January 1, 2000 |
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, 2000 for INSCOP00) |
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, non-institutionalized 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 2000.
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 ELGRND00 indicate a person's
eligibility status for Rounds 3/1, 4/2 and 5/3 and as of December 31, 2000. The
ELIGIBLE variable indicates if a person was ever eligible during the calendar
year 2000.
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 2000.
The following codes specify the value labels
for the PSTATSxy variables.
‑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 |
23 |
The person leaves a health care institution,
goes into community and then dies ‑ 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 1 only |
62 |
Institutionalized prior to reference period (not
eligible)‑Round 1 only |
63 |
Moved outside U.S., prior to reference period
(not eligible)‑Round 1 only |
64 |
Full time military, living on a military
facility, moved prior to reference period (not eligible)‑Round 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 |
Return To Table Of Contents
2.5.2 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, ENDRFM00,
ENDRFD00, and ENDRFY00.
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 alternative/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 reporting unit; 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) and
Parent Administered Questionnaire (PAQ) were designed to collect information
based on two age categories during Panel 5 Round 2 and Panel 4 Round 4. A person
was considered eligible to receive an SAQ/PAQ 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 (SAQ) or was under 18 years of
age (PAQ) as of July 1, 2000. No RU members added in Round 3 or Round 5 were
asked to complete an SAQ/PAQ questionnaire. Because PSTATS variables do not
address skip patterns based on age, these questionnaires were not included in
the table below. Once again, analysts will need to use the appropriate age
variables which in this cause would be AGEJUL01. The documentation for these
questionnaires appears in the SAQ and PAQ sections 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 2000.
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 |
Inapplicable |
0 |
Incorrectly listed in RU at
NHIS - Round 3/1 only |
ALL sections after RE |
Inapplicable |
Inapplicable |
11 |
Person in original
household, not FT active military duty (Person is in the same RU as the
previous round) |
-- |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53:
Prior round interview date |
Interview date |
12 |
Person in original
household, FT active military duty, out-of-scope for whole reference period. |
-- |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53:
Prior round interview date |
Interview date |
13 |
FT student living away from
home, but associated with sampled household |
-- |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53:
Prior round interview date |
Interview date |
14 |
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, 2000
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 |
21 |
The person remains in a
health care institution for the whole round - Rounds 4/2 and 5/3 only |
All sections after RE |
Inapplicable |
Inapplicable |
22 |
The person leaves a health care institution and
rejoins the community - Rounds 4/2 and 5/3 only |
-- |
Date rejoined the community |
Interview date |
23 |
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 -
Alternative/Preventive care: Skip AP12 to AP22 |
Date rejoined the community |
Date of Death |
24 |
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 |
Inapplicable |
31 |
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 -
Alternative/Preventive care: Skip AP12 to AP22 |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53:
Prior round interview date |
Date of Death |
32 |
Went to healthcare
institution during reference period |
Access to care (AC) |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53:
Prior round interview date |
Date institutionalized |
33 |
Went to non-healthcare
institution during reference period |
Access to care (AC) |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53:
Prior round interview date |
Date institutionalized |
34 |
Moved from original household, outside US |
-- |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53: Prior round interview
date |
Date left the RU |
35 |
Moved from original
household, to a military facility while on FT active military duty |
-- |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53:
Prior round interview date |
Date left the RU |
36 |
Went to institution (type
unknown) during reference period |
Access to care (AC) |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53:
Prior round interview date |
Date institutionalized |
41 |
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, 2000
PSTATS42 and PSTATS53: Prior round interview
date |
Interview date |
42 |
The person joins household
and is not full time military during round |
-- |
The later date of January
1, 2000 and the date the person joined the RU |
Interview date |
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. |
All sections after RE |
Inapplicable |
Inapplicable |
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 |
-- |
PSTATS31: January 1, 2000
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 |
51 |
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, 2000 if born prior to
2000. The date of birth if born in 2000.
PSTATS42 and PSTATS53: The later of the Prior
round interview date and date of birth |
Interview date |
61 |
Died prior to reference
period (not eligible)--Round 3/1 only |
All sections after RE |
Inapplicable |
Inapplicable |
62 |
Institutionalized prior to
reference period (not eligible)--Round 3/1 only |
All sections after RE |
Inapplicable |
Inapplicable |
63 |
Moved outside U.S., prior
to reference period (not eligible)--Round 3/1 only |
All sections after RE |
Inapplicable |
Inapplicable |
64 |
FT military, moved prior to
reference period (not eligible)--Round 3/1 only |
All sections after RE |
Inapplicable |
Inapplicable |
71 |
Student under 24 living away at school in grades
1 through 12 (Non-Key) |
-- |
PSTATS31: January 1, 2000
PSTATS42 and PSTATS53: Prior round interview
date |
Interview date |
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 |
All sections after RE |
Inapplicable |
Inapplicable |
73 |
Not Key and not full-time
military, moved w/o someone Key and inscope (not eligible) |
All sections after RE |
Inapplicable |
Inapplicable |
74 |
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 |
Inapplicable |
81 |
Person moved from original household, FT student
living away from home, did not respond |
No data were collected |
Inapplicable |
Inapplicable |
|
|
|
|
|
Return To Table Of Contents
2.5.3 Geographic
Variables
The round-specific variables REGION31,
REGION42, REGION53, and the end-of-year status variable REGION00 indicate the
Census region for the RU. REGION00 indicates the region for the 2000 portion of
Round 5/3. For most analyses, REGION00 should be used. The round-specific
variables MSA31, MSA42, and MSA53 and the end-of-year status variable MSA00
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. MSA00 indicates the MSA status for the 2000 portion of Round
5/3. For most analyses, analysts should use MSA00 rather than MSA31, MSA42, or
MSA53.
Return To Table Of Contents
2.5.4 Demographic Variables
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 4 (1999
Panel); Rounds 1, 2 and 3 of Panel 5 (2000 Panel); and status as of December 31,
2000. Demographic variables that are round specific are identified by names
including numbers "xy", where x and y refer to Round numbers of Panels 4 and 5
respectively. Thus, for example, AGE31X represents the age data relevant to
Round 3 of Panel 4 or Round 1 of Panel 5. As mentioned in Section 2.5.1 Survey
Administrative Variables, the variable PANEL00 indicates the panel from which
the data were derived. A value of 4 indicates Panel 4 data and a value of 5
indicates Panel 5 data. The remaining demographic variables on this file are not
round specific.
The variables describing demographic status of the person as of
December 31, 2000 were developed in two ways. First, the age variable (AGE00X)
represents the exact age as of 12/31/00, calculated from date of birth and
indicates age status as of 12/31/00. For the remaining December 31st variables
[i.e., related to marital status (MARRY00X, SPOUID00, SPOUIN00), student status
(FTSTU00X), and the relationship to reference persons (RFREL00X)], 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 AGE00X were top coded at 90 years.
When date of birth was not provided but age
was provided (either from the MEPS interviews or the 1998-1999 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:
(1) the mean age difference between MEPS
participants with certain family relationships (where available) or
(2) 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 10 persons on
this file. Age was determined for one additional person from data in a later
round.
Sex
Data on the gender of each RU member (SEX)
were initially determined from the 1998 NHIS for Panel 4 and from the 1999 NHIS
for Panel 5. 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 (2
cases).
Race, Race/Ethnicity, Hispanic Ethnicity,
and Hispanic Ethnicity Group
Race (RACEX) and Hispanic ethnicity (HISPANX)
were asked for each RU member during the MEPS interview. If this information was
not obtained in Round 1, the questions were asked in subsequent Rounds. When
race and/or ethnicity was not reported in the interview, values for these
variables were obtained based on the following priority order. When available,
they were obtained from the originally collected NHIS data. If 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. The variable RACETHNX indicating both race and ethnicity
(e.g., with categories such as "Hispanic" and "black but not Hispanic") reflects
the imputations done for RACEX and HISPANX. The specific Hispanic ethnicity
group is reported in the unedited variable HISPCAT.
Note: Starting with Panel 5 Round 3, the
questions asking about race and ethnicity were modified to allow coding of
multiple races and multiple Hispanic places of origin or ancestry. If more than
one race was recorded, then a follow-up question asked which race "best"
represents the person's racial background. Thus, persons new to MEPS in Panel 5
Round 3 used the new source questions in constructing RACEX, HISPANX and HISPCAT.
Those persons who participated in MEPS in Panel 5 Round 1 or 2 used the old
questions and method of construction of the race and ethnicity variables.
The ranges of RACEX, HISPANX, and RACETHNX
delivered in this public use file remain the same as in previous full-year data
files. HISPCAT was modified to collapse persons coded with multiple sources of
national origin or ancestry into the "Other Latin American/Other Spanish"
category. The range for HISPCAT was expanded to include "91 Other".
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 MARRY00X. 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".
Four edits were performed to ensure minimal 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. Because no other edits were performed and since marital
status can change across Rounds, unlikely sequences for marital status across
the Round-specific variables do exist.
When marital status was missing in the preceding round and
provided in the current round, then the person was coded to the "in Round"
marital state. For example, if marital status was not available from the
National Health Interview Survey and the person's marital status was reported as
married in Round 1 of MEPS, then the person would be coded as 7 "Married in
Round" for Round 1 of MEPS.
The person identifier for each individual's spouse is reported
in SPOUID31, SPOUID42, SPOUID53, and SPOUID00. 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, 2000, 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 SPOUIN00 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, 2000 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:
1. 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).
2. Valid discrepancies in the case of persons who are married but not living
with their spouse, or separating but still living together.
3. Discrepancies that cannot be explained for either of the previous reasons.
Student Status and Educational Attainment
The variables FTSTU31X, FTSTU42X, FTSTU53X and FTSTU00X indicate
whether the person was a full-time student at the interview date (or 12/31/00
for FTSTU00X). 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
5, it was based on age as of the 1999 NHIS interview date.
Number of years of education completed is indicated in the
variable EDUCYEAR. Formation 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 or not 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. EDUCYEAR is based on the first round in
which the number of years of education is collected for a person. The user
should note that EDUCYEAR is an unedited variable and minimal data cleaning was
performed on this variable.
The variable HIDEGYR indicating highest degree of education was
obtained from three questions: highest grade completed (RE103), high school
diploma (RE 104), and highest degree (RE 105). 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 HIDEGYR
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 HIDEGYR was coded as 1 "No Degree". HIDEGYR is based on
the first round in which the highest degree was collected for a person. The user
should note that HIDEGYR 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 ACTDTY31, 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".
The variable DIDSERVE indicates if the person
ever served in the Armed Forces. Persons under the age of 16 were coded as 3
"Under 16 - Inapplicable". Individuals currently on active duty military service
were coded as 4 "Now Active Duty". Individuals who were ever in the military
based on the DIDSERVE and ACTDTY question(s) were also asked if they served in
the Vietnam War era (VETVIET), the Korean War era (VETKOR), either World War I
or World War II (VETWW), or another service era (VETOTH). Those under the age of
16 were coded as 3 "Under 16 -Inapplicable", and those who never served in the
military were coded as 4 "Never in military". Persons entering a MEPS household
have these variables set to -1 "Inapplicable". In Panel 4 Round 1 and Rounds 3-5
and Panel 5 Rounds 1-3 the military service questions were asked of everyone
when they entered MEPS.
The user should note that the DIDSERVE and
veteran status variables were reviewed for consistency. The veteran status
variables were minimally edited to ensure that all individuals under 16 years of
age were coded as 3 "Under 16 - Inapplicable" for the specific veteran-era
variables. However, no other age editing was performed, and thus it is possible
for age/era inconsistencies to exist (e.g., AGE31X=17 and VETVIET=Yes).
Relationship to the Reference Person
within Reporting Units
For each reporting unit (RU), the person who
owns or rents the dwelling unit 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 RFREL00X 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 2000 were
not sufficient to identify the relationship of an individual to the reference
person, relationship variables from the 1999 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 53 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.
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 dwelling unit 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 dwelling unit
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 DU for the 2000 Full
Year File.
Return To Table Of Contents
2.5.5 Income and Tax Filing Variables
The file provides income and tax-related variables that were
constructed primarily from data collected in the Panel 4 Round 5 and Panel 5
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.
Logical editing, cold-deck imputation and weighted, sequential
hot-deck imputation were used to impute income amounts for missing values (both
for item non-response 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 mis-reporting.
The editing process began with wage and salary income, WAGEP00X. Complete
responses were left unedited, and this group of people was assigned WAGIMP00 =
1, where WAGIMP00 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 WAGIMP00=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 WAGEP00X 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 WAGIMP00=3 were those who did not report wage and salary income
and who were assigned WAGEP00X=0 based on not having been employed during the
year.
Persons assigned WAGIMP00=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.
About 550 persons were inadvertently coded as having complete wage response
(WAGIMP00=1) on the 2000 file; when in fact their data were edited.
Hot-deck imputation was used for the remaining persons with
missing WAGEP00X. Donor pools included persons whose WAGEP00X 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 WAGEP00X amounts (WAGIMP00=5). Imputations for WAGEP00X for the
remaining persons were unconditional, using both workers and non-workers as
donors (WAGIMP00=6).
After editing WAGEP00X for all persons in the full-year file, the remaining
income sources were edited in the following sequence: INTRP00X, BUSNP00X,
FARMP00X, DIVDP00X, REFDP00X, ALIMP00X, SALEP00X, TRSTP00X, PENSP00X, IRASP00X,
SSECP00X, UNEMP00X, WCMPP00X, VETSP00X, CASHP00X, OTHRP00X, CHLDP00X, SSIP00X,
and PUBP00X. 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
CHLDP00X used family-level information concerning marital status and the number
of children. Hot-deck imputations for SSIP00X and PUBP00X were also assigned
using, in part, simulated program eligibility indicators that integrated
state-level program eligibility criteria with data on family composition and
income.
As with the 1999 MEPS income variables, data from the National Health Interview
Survey (NHIS) were incorporated in editing the 2000 variables. 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 1998 NHIS correspond to MEPS Panel 4, while those
from the 1999 NHIS correspond to MEPS Panel 5.
Because MEPS units come from the NHIS, it is possible to match individual MEPS
responding units to an NHIS unit. In some hot-decks this matching ability
allowed income recipiency indicators collected by NHIS to be 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,
assuming a non-missing value. 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).
Due to the nature of the skip patterns in the MEPS income section, persons who
do not file federal income tax returns were more likely to not report any data
about an income item than were those persons who do file tax returns. In order
to compensate for this missing information, it is critical to impute from other
persons who did not file tax returns (or whose filing status was unknown),
because persons not filing and filers had different income patterns. For the
variables INTRP00X, DIVDP00X, PENSP00X, and SSECP00X, new cold-decks were
implemented beginning with the 1999 editing process to address this issue.
These cold-decks used income amounts reported in the 1995 NHIS (the last time
dollar amounts, not just recipiency data, were collected), adjusted for
inflation. Donors were limited to those 1995 NHIS persons who did not file, or
whose filing status was unknown, based on the MEPS Panel 1 results. The
cold-decks were run prior to the hot-decks for each variable; cold-deck
recipients could not be donors in the subsequent hot-decks.
A similar cold-deck imputation was introduced for certain filers (TAXFRM00) of
the "short" or "EZ" 1040 form with missing data caused by the skip patterns in
income collection.
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 xxIMP00 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 (WAGIMP00 only);
. 5=Conditional hot-deck;
. 6=Unconditional hot-deck;
. 7=Edited using NHIS data.
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
ALIMP00X 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 we had little or no information about a person's
income source).
Total person-level income (TTLP00X) is the sum of all income components with the
exception of REFDP00X and SALEP00X (to match as closely as possible the CPS
definition of income; see Section 2.5.5.2). 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. Note that while the welfare
participation flag is named AFDC00, 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.
Return To Table Of Contents
2.5.5.1 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 fewer 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.
Return To Table Of Contents
2.5.5.2 Poverty Status
The file includes a categorical variable for 2000 family income
as a percentage of poverty (POVCAT00). The definitions of income, family, and
poverty categories used were taken from the 2000 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. POVCAT00 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 POVCAT00. Family income as well as the
components of person level income have 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 POVCAT00).
Return To Table Of Contents
2.5.6 Employment Variables
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 4 persons, the second number representing the
round for Panel 5 persons. For example, EMPST31 refers to employment status on
the Round 3 interview date for Panel 4 persons and employment status on the
Round 1 interview date for Panel 5 persons.
With the exception of health insurance held at or offered through a current main
job, 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 $57.69 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
4 persons or Round 2 interview date hourly wage for Panel 5 persons) is coded as
"-2", refer to HRWG31X (Round 3 interview date hourly wage for Panel 4 persons
or Round 1 interview date hourly wage for Panel 5 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. Obviously, 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 4 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
4 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
1999 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 1999 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.
Data Collection Round for Round 3/1 CMJ
(RNDFLG31)
For Panel 4, 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 4, 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 4 Round 3
or Panel 5 Round 1. For persons who are part of Panel 4, RNDFLG31 is also set to
"Inapplicable" (-1) if the person is out-of-scope in the 2000
portion of Round 3. For persons who are part of Panel 5, RNDFLG31 is also set to
"Inapplicable" (-1) if the person is out-of-scope in Round 1. For
persons who are part of Panel 4, other values for RNDFLG31are set as follows:
-
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.
For persons who are part of Panel 5 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. These variables indicate whether the establishment
reported by wage earners as the main source of employment offered 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)
Those who were self-employed at their current main job were
coded as "Inapplicable" (-1) for all these variables. 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.
Hourly wage (HRWG31X, HRWG42X, HRWG53X)
Hourly wage was asked of all persons who reported a current main
job that was not self-employment (SELFCM). An hourly wage 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
these persons, values were imputed from donors within the reported range. All
imputed wages can be identified as such by three wage imputation flags
(HRWGIM31, HRWGIM42, HRWGIM53). Note that wages were imputed only for persons
with a positive person or family weight.
For reasons of confidentiality, the hourly wage variable was
top-coded. A value of "-10" indicates that the hourly wage was
greater than or equal to $57.69. The hourly wage variables on this file
(HRWG31X, HRWG42X, HRWG53X) 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. It should be noted that, as
mentioned above, wage imputations were performed on persons with positive
weights only, while HRHOW will also apply to persons with a zero person-level
weight.
Health Insurance (HELD31X, HELD42X, HELD53X, OFFER31X, OFFER42X,
OFFER53X, CHOIC31, CHOIC42, CHOIC53, DISVW31X, DISVW42X, DISVW53X)
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). The HELD and OFFER variables
were logically edited using health insurance information.
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, we
could not ascertain whether they were offered a policy. These individuals are
coded as -9 for the OFFER variables.
Within the employment section, an inconsistency can occur
between the held and offered information in the file. 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
originally held insurance or not). This is to determine if there has been any
change in coverage. However, the offer question is not updated again after the
initial round, regardless of any change in the held status. After the initial
round the offer variable is set to "-2" (value determined in previous
round).
For persons in the second panel for a year (Rounds 1-3), this
can result in a situation where the current round's held variable (HELD31X,
HELD42X, HELD53X) equals "Yes" (1), but looking back to the original
round in which the offered variable was set (which must be done since the
current round's value is "-2"), the offered value may be set to
"No" (2). For persons in the first panel of a year (Rounds 3-5), the
offered value is pulled forward on the file from the original round (on the
prior year's PUF) and the same discrepancy held equal "Yes"; offered
equal "No" can occur.
Finally, persons under age 16 as well as persons aged 16 and
older who did not hold a current main job or who were self-employed with no
employees were coded as "Inapplicable" for the health
insurance-related employment variables.
Hours (HOUR31, HOUR42, HOUR53)
The hours measure refers to usual hours worked per week.
Number of Employees (NUMEMP31, NUMEMP42, NUMEMP53)
Due to confidentiality concerns, the variable indicating the
number of employees at the establishment has been top coded at 500 or more
employees. NUMEMP indicates the number of employees at the location of the
person's current main job. For persons who reported a categorical size, we
report a median estimated size from donors within the reported range.
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,
industry and occupation types were first coded by trained coders into the
three-digit codes defined by the Bureau of the Census for the 1990 Census. For
confidentiality reasons, these codes were then condensed. CIND31, CIND42, and
CIND53 represent the condensed industry codes for a person's current main job at
the interview date. COCCP31, COCCP42 and COCCP53 represent the condensed
occupation codes for a person's current main job at the interview date.
Information indicating whether a person belonged to a labor union (UNION31,
UNION42, and UNION53) and whether a person worked an irregular work shift
(SHFTWK31, SHFTWK42, and SHFTWK53) is also contained in this release. In
addition, there are three round-specific variables that show the usual daily
start time of the current main job (BGNWK31, BGNWK42, and BGNWK53). There are
also three measures of the usual daily end time of the current main job
(ENDWK31, ENDWK42, and ENDWK53). The values for these variables are coded in
24-hour military time and reflect the hour that the respondent reported as the
usual starting and ending time. There is an additional allowable value of "95,"
indicating respondents who reported that their usual start and end times varied.
The day, month, and year that the current main job started for Rounds 3, 4, and
5 of Panel 4 and Rounds 1, 2, and 3 of Panel 5 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 4 persons or the Round 3 interview
date for Panel 5 persons (EVRETIRE). The other indicates whether a person ever
worked for pay as of the Round 5 interview date for Panel 4 persons or the Round
3 interview date for Panel 5 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). The ever retired question was asked of all persons who ever
reported a job and were 55 years or older as of the round interview date. 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;
-
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 4 persons or between the first and second
rounds for Panel 5 persons (CHGJ3142) and between the fourth and fifth rounds
for Panel 4 persons or between the second and third rounds for Panel 5 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:
1- person left previous round current main job and now has a new current main
job;
2- 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);
3- person left previous round's current main job and does not have a new job;
4- 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.
Return To Table Of Contents
2.5.7 Health Insurance Variables
(TRIJA00X-PMEDIN53)
2.5.7.1 Monthly Health Insurance
Indicators (TRIJA00X-INSDE00X)
Constructed and edited variables are provided that indicate any
coverage in each month of 2000 for the sources of health insurance coverage
collected during the MEPS interviews (Panel 4, Rounds 3 through 5 and Panel 5,
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. For Tricare coverage (TRIJA00X - TRIDE00X),
respondents who were over age 65 had their reported Tricare coverage overturned.
Additional edits, described below, were performed on the Medicare and Medicaid
variables to assign persons to coverage from these sources. Observations that
contain edits assigning persons to Medicare or Medicaid coverage can be
identified by comparing the edited and unedited versions of the Medicare and
Medicaid variables.
Public sources include Medicare, Tricare, Medicaid and other public
hospital/physician coverage. State-specific program participation in
non-comprehensive coverage (STAJA00 - STADE00) was also identified but is not
considered health insurance for the purpose of this survey.
In addition to the month-by-month indicators of coverage, 12 round-specific
Health Insurance variables indicating coverage by an HMO or managed care plan
have been added for FY 2000. The variables PRVHM031/42/00 and PRVMNC31/42/00
indicate coverage by a private HMO or managed care plan in Panel 5, Rounds 1 -
3, and Panel 4, Rounds 3 - 5. The variables MCDHMO31/42/00 and MDCMC31/42/00
indicate coverage by a Medicaid HMO or managed care plan in Panel 5, Rounds 1 -
3, and Panel 4, Rounds 3 - 5. For Panel 5, the "31" version indicates coverage
at any time in Round 1, the "42" version indicates coverage at any time in Round
2, and the "00" version represents coverage at any time during the 2000 portion
of Round 3. For Panel 4, the "31" version indicates coverage at any time during
the 2000 portion of Round 3, the "42" version indicates coverage at any time in
Round 4, and the "00" version represents coverage at any time during Round 5
(because Round 5 ends on 12/31/00).
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.
Medicare
Medicare (MCRJA00 - MCRDE00) coverage was
edited (MCRJA00X - MCRDE00X) 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 or not they received Social Security benefits; or
They were covered by Medicaid, 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.
Medicaid and Other Public Hospital/Physician Coverage
Questions about other public hospital/physician coverage were
asked in an attempt to identify Medicaid recipients who may not have recognized
their coverage as Medicaid. These questions were asked only if a respondent did
not report Medicaid 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 variables (MCDJA00 - MCDDE00) have been edited (MCDJA00X -
MCDDE00X) 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 (OPAJA00 - OPADE00); and
-
The respondent did not report any managed care, Other Public B
Insurance (OPBJA00 - OPBDE00).
The variables OPAJA00 - OPADE00 and OPBJA00 - OPBDE00 are
provided only to assist in editing and should not be used to make separate
insurance estimates for these types of insurance categories.
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
(PUBJA00X - PUBDE00X). Persons identified as covered by public insurance are
those reporting coverage under Tricare, Medicare, Medicaid or other public
hospital/physician programs. Persons covered only by state-specific programs
that did not provide comprehensive coverage (STAJA00 - STADE00), for example,
Maryland Kidney Disease Program, were not considered to have public coverage
when constructing the variables PUBJA00X - PUBDE00X.
Private Insurance
Variables identifying private insurance in
general (PRIJA00 - PRIDE00) and specific private insurance sources [such as
employer/union group insurance (PEGJA00 - PEGDE00); non-group (PNGJA00 -
PNGDE00); and other group (POGJA00 - POGDE00)] were constructed. Private
insurance sources identify coverage in effect at any time during each month of
2000. Separate variables identify covered persons and policyholders
(policyholder variables begin with the letter "H", e.g., HPEJA00 - HPEDE00).
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 (PDKJA00 - PDKDE00). Covered
persons (but not policyholders) are identified when the policyholder is living
outside the RU (POUJA00 - POUDE00). 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.
Health insurance through a job or union (PEGJA00 - PEGDE00, PRSJA00 - PRSDE00)
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 (PEGJA00 - PEGDE00) 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 (PRSJA00 - PRSDE00) was initially reported in the Employment Section
and verified in the Health Insurance Section. Unlike the other
employment-related variables (PEGJA00 - PEGDE00), self-employed-firm size 1
(PRSJA00 - PRSDE00) health insurance could not be reported in the Health
Insurance section for the first time. The variables PRSJA00 - PRSDE00 have been
constructed to allow users to determine if the insurance should be considered
employment-related.
Private insurance that was not employment-related (POGJA00 - POGDE00, PNGJA00 -
PNGDE00, PDKJA00 - PDKDE00 and POUJA00 - POUDE00) 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 (INSJA00X -
INSDE00X). Persons identified as insured are those reporting coverage under
Tricare, Medicare, Medicaid 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 (STAJA00 - STADE00), for example, Maryland Kidney Disease Program, and
those without hospital/physician benefits (for example, private insurance for
dental or vision care only, accidents or specific diseases) were not considered
to be insured when constructing the variables INSJA00X - INSDE00X.
Return To Table Of Contents
2.5.7.2 Summary Insurance
Coverage Indicators (PRVEV00 - INSCOV00)
The variables PRVEV00-UNINS00 summarize health insurance
coverage for the person in 2000 for the following types of insurance: private
(PRVEV00); Tricare (TRIEV00); Medicaid (MCDEV00); Medicare (MCREV00); other
public A (OPAEV00); other public B (OPBEV00). Each variable was constructed
based on the values of the corresponding 12 month to 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 2000. A value of 2 indicates
that the person was not covered for a given type of insurance for all of 2000.
The variable UNINS00 summarizes PRVEV00-OPBEV00. Where PRVEV00-OPBEV00 are all
equal to 2, then UNINS00 equals 1; person was uninsured for all of 2000.
Otherwise UNINS00 is set to 2, not uninsured for some portion of 2000.
For user convenience this file contains a constructed
variable INSCOV00 that summarizes health insurance coverage for the person in
2000, with the following 3 values:
1 = ANY PRIVATE (Person had any private insurance coverage
(including Tricare/VA) any time during 2000) |
2 = PUBLIC ONLY (Person had only public insurance coverage
during 2000) |
3 = UNINSURED (Person was uninsured during all of 2000) |
Please note this variable categorizes Tricare
as private coverage. If an analyst wishes to consider Tricare public coverage,
the variable can easily be reconstructed using the PRVEV00 and TRIEV00
variables.
Return To Table Of Contents
2.5.7.3 Managed Care Variables
(MCDHMO31-PRVMNC00)
HMO or gatekeeper plan 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 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 2000 are based on responses to health
insurance questions asked during the Round 3, 4, and 5 interviews of Panel 4,
and the Round 1, 2, and 3 interviews of Panel 5. Each variable ends in "xy"
where x and y denote the interview round for Panels 4 and 5, 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 4 have been restricted to the year 2000 portion of the
reference period. Similarly, the Panel 4/Round 5 and Panel 5/Round 3 interviews
have been restricted to the year 2000 portion of these reference periods, and
the corresponding managed care variables have been given the suffix "00" (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 "00" versions of the HMO and gatekeeper variables for Panel 5 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.
Medicaid Managed Care Plans
Persons were assigned Medicaid coverage based
on their responses to the health insurance questions or through logical editing
of the survey data. The number of persons with edited Medicaid coverage is
small, but it contains two distinct groups of individuals. The first group
includes persons in Other Government programs that were identified by name as
Medicaid HMOs and did not require premium payment from the insured party. This
group was asked about the characteristics of their insurance plan. The second
group includes a small number of persons who did not report public insurance,
but were classified as Medicaid recipients because they received AFDC, SSI, or
WIC. The health insurance questions were not applicable to 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.
Medicaid HMOs
If Medicaid 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 MCDHMO00
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:
1. 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 MCDHMO00 have five possible
values:
1 |
The person was covered by a Medicaid HMO. |
2 |
The person was covered by Medicaid but the plan was
not an HMO. |
3 |
The person was not covered by Medicaid. |
-9 |
The person was covered by Medicaid but the plan type
was not ascertained. |
-1 |
The person was out-of-scope. |
Medicaid Gatekeeper Plans
If the respondent did not belong to a Medicaid HMO, a third
question was used to determine whether the person was in a gatekeeper plan. The
variables MCDMC31, MCDMC42, and MCDMC00 were set to "Yes" if the person provided
an affirmative response to the following question:
1. 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 MCDMC00 have five possible
values:
1 |
The person was covered by a Medicaid gatekeeper plan. |
2 |
The person was covered by Medicaid, but it was not a
gatekeeper plan. |
3 |
The person was not covered by Medicaid. |
-9 |
The person was covered by Medicaid 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.
Private HMOs
Persons with private insurance were classified as being covered
by an HMO if they met any of the three following conditions:
1. The person reported that his or her insurance was purchased directly through an HMO,
2. The person reporting private insurance coverage identified the type of insurance
company as an HMO, or
3. 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 PRVHMO00 were set to "Yes." In each round, the variables PRVHMO31, PRVHMO42,
and PRVHMO00 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:
1. (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 PRVMNC00 were set to "Yes." In each round, the
variables PRVMNC31, PRVMNC42, and PRVMNC00 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. |
Return To Table Of Contents
2.5.7.4 Unedited Health Insurance
Variables (PREVCOVR-LIMITOT) 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. If the person said he/she was covered by insurance in the 2
years prior to the MEPS Round 1 interview (PREVCOVR), the month, year (COVRMM,
COVRYY), and type of coverage (Employer-sponsored (WASESTB), Medicare (WASMCARE),
Medicaid (WASMCAID), CHAMPUS/CHAMPVA (WASCHAMP), VA/Military Care (WASVA), Other
public (WASOTGOV, WASAFDC,WASSSI, WASSTAT1-2, WASOTHER) or Private coverage
purchased through a group, association or insurance company (WASPRIV) was
ascertained. 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 2 years (MORCOVR). 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.
Pre-Existing Condition Exclusions/ Denial of Insurance
All individuals, regardless of their insurance status, were also
asked in Round 1 if they had ever been denied insurance (DENYINSR) and if so,
due to what conditions (DNYCANC, DNYHYPER, DNYDIAB, DNYCORON, DENYOTH).
Individuals insured in January were asked whether there were any limitations or
restrictions on their plans due to any physical or mental health condition (INSLIMIT)
and if so, which conditions caused these limitations or restrictions (LMTBACK
and LIMITOT). Individuals under age 65 without any coverage in January were also
asked if they had ever tried to purchase health insurance (INSLOOK). It should
be noted that conditions collected in these questions were not recorded on the
condition roster.
Note that the duration of uninsurance, limitation, denial and ever looked for
insurance questions were only asked in Round 1. These variables are included on
the file only for individuals in Panel 5 since Panel 5's Round 1 occurred in
2000 but Panel 4's Round 1 occurred in 1999. Round 1 data for Panel 4 members is
contained on the 1999 Supplemental File (HC-044). The unedited health insurance
variables are included on this supplemental file to facilitate longitudinal
analysis. However, since they are not available for Panel 4, Round 4, they
cannot be used to generate national estimates for the estimation year.
Return To Table Of Contents
2.5.7.5 Health Insurance
Coverage Variables (TRICR31X-INSAT00X)
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 31st, 2000. 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
4 members.
The health insurance variables are constructed for the sources of health
insurance coverage collected during the MEPS interviews (Panel 4, Rounds 3
through 5 and Panel 5, 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 while the same general editing rules were followed for the
month-by-month health insurance variables released on other MEPS public use
files and those on this file, in a small number of cases the month-by-month
variables experienced further edits performed after the variables on this file
were completed. Since editing programs checking for consistencies between these
sets of variables developed over time, there should be fewer discrepancies in
data for calendar year 1998 and beyond than in data for the years 1996 and 1997.
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. For Tricare coverage (TRICR31X, TRICR42X, TRICR53X, TRICR00X, TRIAT31X,
TRIAT42X, TRIAT53X, TRIAT00X), respondents who were age 65 and over had their
reported Tricare coverage overturned. Additional edits, described below, were
performed on the Medicare and Medicaid/SCHIP variables to assign persons to
coverage from these sources. Observations that contain edits assigning person to
Medicare or Medicaid/SCHIP coverage can be identified by comparing the edited
and unedited versions of the Medicare and Medicaid/SCHIP variables.
Public sources include Medicare, Tricare, Medicaid, SCHIP, and other public
hospital/physician coverage. State-specific program participation (STAPR31,
STAPR42, STAPR53, STAPR00, STPRAT31, STPRAT42, STPRAT53, STPRAT00) in
non-comprehensive coverage was also identified but is not considered health
insurance for the purpose of this survey.
Medicare
Medicare (MCARE31, MCARE42, MCARE53 and
MCARE00) coverage was edited (MCARE31X, MCARE42X, MCARE53X and MCARE00X) 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 or not they received Social Security benefits; or
They were covered by Medicaid, SCHIP, other public hospital/physician coverage
or Medigap coverage: or
Their spouse was covered by Medicare.
They reported Tricare coverage.
Medicaid 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 variables (MCAID31, MCAID42, MCAID53, MCAID00) have been edited 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 (MCAID31X, MCAID42X, MCAID53X, MCAID00X,
MCDAT31X, MCDAT42X, MCDAT53X, MCDAT00X). The Medicaid variables also include
those identified as covered by State Children's Health Insurance Program (SCHIP).
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 (OTPUBA31, OTPUBA42,
OTPUBA53, OTPUBA00, OTPAAT31, OTPAAT42, OTPAAT53, OTPAAT00); and
The respondent did not report any managed care, Other Public B insurance
(OTPUBB31, OTPUBB42, OTPUBB53, OTPUBB00, OTPBAT31, OTPBAT42, OTPBAT53,
OTPBAT00).
The variables for Other Public A and B Insurance are provided
only to assist in editing and should not be used to make separate insurance
estimates for these types of insurance categories.
Any Public Insurance
The file also includes summary measures that indicate whether or
not a sample person has any public insurance during a given round, at the
interview date, or on December 31st (PUB31X, PUB42X, PUB53X, PUB00X, PUBAT31X,
PUBAT42X PUBAT53X and PUBAT00X). Persons identified as covered by public
insurance are those reporting coverage under Tricare, Medicare, Medicaid, SCHIP,
or other public hospital/physician programs. Persons covered only by
state-specific programs that did not provide comprehensive coverage (STAPR31,
STAPR42, STAPR53, STAPR00, STPRAT31, STPRAT42, STPRAT53, STPRAT00), for example,
Maryland Kidney Disease Program, were not considered to have public coverage
when constructing the variables PUB31X.....PUBAT00X.
Private Insurance
Variables identifying private insurance in general (PRIV31,
PRIV42, PRIV53, PRIV00, PRIVAT31, PRIVAT42, PRIVAT53, PRIVAT00) and specific
private insurance sources [such as employer/union group insurance (PRIEU31,
PRIEU42, PRIEU53, PRIEU00); non-group (PRING31, PRING42, PRING53, PRING00); and
other group (PRIOG31, PRIOG42, PRIOG53, PRIOG00)] were constructed. 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. Note that
these variables indicate coverage within a source and do not distinguish between
persons who are covered on one or more than one policy within a given source. In
some cases, the policyholder was unable to characterize the source of insurance
(PRIDK31, PRIDK42, PRIDK53, PRIDK00). Covered persons are also identified when
the policyholder is living outside the RU (PROUT31, PROUT42, PROUT53, PROUT00).
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.
Health insurance through a job or union (PRIEU31, PRIEU42, PRIEU53, PRIEU00) 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 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 (PRIS31, PRIS42, PRIS53, PRIS00) was initially reported in the
Employment Section and verified in the Health Insurance Section. Unlike the
other employment-related variables, self-employed-firm size 1 health insurance
could not be reported in the Health Insurance section for the first time. The
variables PRIS31, PRIS42, PRIS53, PRIS00 have been constructed to allow users to
determine if the insurance should be considered employment-related.
Private insurance that was not employment-related 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 round, at an interview date or on December
31st (INS31X, INS42X, INS53X, INSAT31X, INSAT42X, INSAT53X, INSAT00X). 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 (STAPR31, STAPR42, STAPR53, STAPR00, STPRAT31, STPRAT42, STPRAT53,
STPRAT00), for example, Maryland Kidney Disease Program, and those without
hospital/physician benefits (for example, private insurance for dental or vision
care only, accidents or specific diseases) were not considered to be insured
when constructing the variables INS31X, INS42X, INS53X, INSAT31X, INSAT42X,
INSAT53X and INSAT00X.
Return To Table Of Contents
2.5.7.6 Dental and Prescription
Drug Private Insurance Variables (DENTIN31-DENTIN53)
Dental Private Insurance Variables
Round specific variables (DENTIN31/42/53) are provided that
indicates the respondent was covered by a private health insurance plan that
included at least some dental coverage for each round of 2000. 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 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
2000. 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. Users should note that some insured persons have more than one
private plan. In these cases, if the policyholder identified any plan as having
prescription drug coverage, the prescription drug variable was set to "yes". If
a person had multiple plans and one or more were identified as not having
prescription drug coverage and the other(s) had missing values for prescription
drug coverage, the person level variable was set to missing. Those who reported
that they did not have prescription drug coverage for all private plans are
coded as not having private prescription drug coverage.
Return To Table Of Contents
2.5.8 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, injury, or mental or emotional problem.
Data were collected on each individual in the household. These questions were
repeated in each round of interviews; these files contains data from Rounds 3,
4, and 5 of the MEPS panel 4 initiated in 1999 and Rounds 1, 2, and 3 of the
MEPS panel 5 initiated in 2000 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 (BEGREFD, BEGREFM, BEGREFY, ENDREFD, ENDREFM, ENDREFY). Analysts
should be aware that Round 3 was conducted across years. Some data from Round 3
thus pertains to the following year. The number of disability days in Round 3
that occurred in each calendar year was not ascertained. If analysts want to
create an indicator of disability days for a given calendar year, some
adjustment must be made to the Round 3 data. Analysts who want to estimate
disability days for a given calendar year will need to develop an algorithm for
deciding what portion of reported disability days occurred in the year of
interest and what portion occurred in the following year.
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), and for some analyses these values
may have to be recoded to zero. Respondents who were less than 16 years old were
not asked about lost workdays, and these variables are coded -1 (inapplicable)
for them.
WKINBD31, WKINBD42 and WKINBD53 represent the number of work-loss days 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 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 did not receive these questions and are coded as -1 on these
variables. 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 loss
days 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 (BEGREFD, BEGREFM, BEGREFY, ENDREFD, ENDREFM,
ENDREFY).
SCLNBD31, SCLNBD42 and SCLNBD53 represent the number of school-loss days during
each round in which the individual spent at least a half-day in bed. Respondents
aged less than 3 or older than 22 did not receive these questions and are coded
as -1 on these variables. If a respondent answered the preceding school-loss
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 or 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 (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 were not
asked these questions and are coded as -1. 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 who do not work,
and those who answer "no" to OTHDYS are skipped out of OTHNDD and receive
codes of -1.
For respondents with positive weights, a minimal amount of editing was done on
these variables to preserve the skip patterns. No imputation was done for those
with missing data.
Return To Table Of Contents
2.5.9 Access to Care Variables
(ACCELI42-OTHRPR42)
The variables ACCELI42 through OTHRPR42 describe data from the
Access to Care section of the HC questionnaire, which was administered in Panel
4 Round 4 and Panel 5 Round 2 of the MEPS HC. This supplement serves a number of
purposes in the MEPS HC by gathering information on three main topic areas:
whether each family member has a usual source of health care, the
characteristics of usual source of health care providers for the family, and
barriers the family has faced in obtaining needed health care. The variable
ACCELI42 indicates whether persons were eligible to receive the Access to Care
questions. Persons with ACCELI42 = -1 should be excluded from estimates made
with the Access to Care data.
Family members' usual source of health care.
For each individual family member, MEPS HC 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). For those family members who do not have a usual source of
health care, MEPS HC ascertains the reason(s) why (YNOUSC42 through OTHREA42).
If any family members changed their usual source of health care during the 12
months prior to the interview, MEPS HC gathers information on the reason why
this change was made (CHNGUS42 through YNOMOR42).
Characteristics of usual source of health care providers for
the family. For each unique usual
source of care provider for a given family, MEPS HC asks for information on
the following characteristics of the usual source of care provider:
. is the provider a medical doctor or some
other type of medical provider (followed by questions which ask either the
provider's medical specialty or the type of non-physician provider)
(TYPEPE42), and is the provider hospital-based (TYPEPL42 and LOCATI42);
. is the provider the person or place family members would go to for new
health problems, preventive health care, and referrals to other health
professionals (MINORP42 through REFFRL42);
. does the provider have office hours nights and weekends, characteristics of
the provider related to appointments and waiting time, ease of contacting a
medical person at the provider's office by telephone (OFFHOU42 through
PHONED42);
. a number of quality-related characteristics of the provider, including
whether the provider generally listens to family members, asks about
prescription medications other doctors may give them, and family members'
confidence in and satisfaction with the care received from the provider
(PRLIST42 through USCQUA42).
Family barriers.
Finally, the Access to Care supplement gathers information on barriers to
health care for the family. This includes one question that asks if any family
members have recently gone without needed health care because the family
needed money to buy food, clothing, or pay for housing (NOCARE42). In
addition, the respondent is asked to rate his/her satisfaction with the
ability of family members to obtain health care if needed (HCNEED42). A series
of two questions is asked to directly assess whether any family members
experienced difficulty in obtaining any type of health care, delayed obtaining
care, or did not receive health care they thought they needed due to any of
the following reasons (OBTAIN42 through OTHRPR42):
. Financial/Insurance Problems, including
couldn't afford care; insurance company wouldn't approve, cover, or pay for
care; pre-existing condition; insurance required a referral, but couldn't get
one; doctor refused to accept family's insurance plan;
. Transportation Problems, including medical care was too far away; can't
drive or don't have car/no public transportation available; too expensive to
get there;
. Communication Problems, including hearing impairment or loss; different
language;
. Physical Problems, including hard to get into building; hard to get around
inside building; no appropriate equipment in office;
. Other Problems, including couldn't get time off work; didn't know where to
go to get care; was refused services; couldn't get child care; didn't have
time or took too long.
Editing of the Access to Care Variable
Editing consisted primarily of logical editing for consistency
with skip patterns. Other editing included the construction of new variables
describing the USC provider, and recoding several "other specify" text items
into existing or new categorical values, which are described below.
Not all variables or categories that appear in the Access to Care section are
included on the file, as some small cell sizes have been suppressed to maintain
respondent confidentiality. This affects the following questions:
AC03: |
Category 5 was combined with 91 OTHER REASON (YNOUSC42) |
AC11:
|
Categories 7 and 9 were combined with 10 OTHER NON-MD PROVIDER (TYPEPE42). |
AC23: |
Categories 2 and 4 were combined with 91 OTHER REASON (YNOMOR42) |
AC25A: |
Categories 9, 11, 12, 13 and 17 were combined with 91 OTHER (MAINPR42) |
Constructed Variables Describing the Usual Source of Care
Provider
The variables PROVTY42, TYPEPL42, TYPEPE42 and LOCATI42 provide
information on the type and location of the usual source of care provider. These
variables were constructed as follows, using one or more questionnaire items
which are not included on the file:
PROVTY42 was constructed from items in the Provider Roster
Section (available as a downloadable file on the MEPS Home Page), and has the
following possible values:
1 |
FACILITY |
2 |
PERSON |
3 |
PERSON IN FACILITY PROVIDER |
Question PV01 asks whether the provider is a person or a
facility. For providers designated as a person, the responses to item PV05
(which indicates if the provider is part of a group practice or HMO) and items
PV03/ PV10 (which indicate the provider's address), were used to determine if
the provider is a "person in facility" provider (i.e., a person for whom both
person and facility characteristics are known, such as "Dr. X at Y Medical
Associates").
TYPEPE42 was constructed from responses to items AC10, AC11, AC11OV, AC12 and
AC12OV in the Access to Care Section and describes the type of medical
provider for providers indicated as person or person in facility providers
(records with PROVTY42 = 1 have a value of -1 for TYPEPE42). TYPEPE42 has the
following possible values:
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/NURSE PRACTITIONER |
9 |
PHYSICIAN'S ASSISTANT |
10 |
OTHER NON-MD PROVIDER |
11 |
UNKNOWN |
Note that the value 6 MD-OTHER includes doctors of
osteopathy, as well as a small number of medical doctors whose specialty is
unknown.
TYPEPL42 was constructed from responses to Access to
Care items AC06 and AC07 and describes the type of place corresponding to the
usual source of care provider with the following values:
1 |
HOSPITAL CLINIC OR OUTPATIENT DEPARTMENT |
2 |
PRIVATE OFFICE IN HOSPITAL |
3 |
HOSPITAL EMERGENCY ROOM |
4 |
NON-HOSPITAL PLACE |
TYPEPL42 was only constructed for cases with provider
type indicated as facility or person in facility provider (records with
PROVTY42=2 have a value of -1 for TYPEPL42).
LOCATI42 was constructed from the variables PROVTY42 and TYPEPL42, and
describes the location of the provider as either office based or hospital
based, and if hospital based, as either emergency room or non-emergency room.
LOCATI42 has the following values:
1 |
OFFICE |
2 |
HOSPITAL, NOT EMERGENCY ROOM |
3 |
HOSPITAL EMERGENCY ROOM |
Note that all cases with PROVTY42=2 PERSON have LOCATI42 = 1
OFFICE.
These 4 variables in combination describe the usual source of care provider. For
example, a group practice or clinic with no particular person named is coded as:
PROVTY42 = 1 FACILITY, LOCATI42 = 1 OFFICE and TYPEPE42 = -1
INAPPLICABLE.
Re-coding of Additional Other Specify Text Items
For Access to Care items AC03, AC04, AC08, AC09, AC21 and AC23,
the other specify text responses were reviewed and coded as an existing or new
value for the related categorical variable (for AC03, AC08, AC21 and AC23), or
coded as an existing or new "yes/no" variable (for items AC04 and AC09). The
following are the new codes or variables which were created from these other
specify text responses.
for item AC03 - this new value was constructed for the variable
YNOUS42:
10 OTHER INSURANCE RELATED REASON
for item AC04 - the new variable OTHINS42 was constructed for
insurance-related reasons
for item AC08 - these new values were constructed for the variable YGOTOU42:
8 |
MILITARY/VA |
10 |
INSURANCE RELATED REASON |
for item AC09 - the new variable INSREA42 was
constructed for insurance-related reasons
for item AC21 - these new values were constructed for the variable YCHNGUS2:
9 |
OTHER INSURANCE-RELATED REASON |
10 |
JOB RELATED REASON |
11 |
NEW DOCTOR WAS REFERRED OR RECOMMENDED |
12 |
OTHER COMPLAINTS ABOUT OLD DOCTOR |
13 |
TRANSPORTATION REASON |
for item AC23 - these new values were constructed for
the variable YNOMORE2:
9 |
SELDOM OR NEVER SICK/NO NEED FOR DOCTOR |
10 |
OTHER INSURANCE-RELATED REASON |
Return To Table Of Contents
2.5.10 Health Status Variables
(RTHLTH31-DSPRX53)
Due to the overlapping panel design of the MEPS, Round 3 for
Panel 4 overlapped with Round 1 for Panel 5. Similarly, Round 4 for Panel 4
coincided with Round 2 for Panel 5, and Round 5 for Panel 4 occurred at the same
time as Round 3 for Panel 5. Data from overlapping Rounds have been combined
across panels. Thus, any variable ending in "31" reflects data obtained in Round
3 of Panel 4 and Round 1 of Panel 5. Analogous comments apply to variables
ending in "42" and "53". Health Status variables whose names end in "00"
indicate a full-year measurement.
This data release incorporates information from calendar year 2000. However,
health status data obtained in Round 3 of both Panel 4 and Panel 5 are included
in variables that have names ending in "31" and "53" respectively. For persons
in Panel 4, Round 3 extended from 1999 into 2000. Therefore, for these people,
some information from late 1999 is included for variables that have names ending
in "31". For persons in Panel 5, Round 3 extended from 2000 into 2001.
Therefore, for these people, some information from early 2001 is included for
variables that have names ending in "53". Note that for most Panel 4 persons,
the Round 5 reference period ends on December 31, 2000; however, the Round 5
interview actually occurs in 2001. 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, 2000.
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 2001. 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, 2000, 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
2001.
Health Status variables in this data release can be classified into several
conceptually distinct sets:
-
Perceived health status and ADL and IADL limitations
-
Functional limitations and activity limitations
-
Child care arrangements
-
Vision problems
-
Hearing problems
-
Children's health status
-
Preventive care
-
Priority conditions
-
Self-administered questionnaire
-
Parent-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 4 and Rounds 1 and 3 for Panel 5. Vision, hearing, and
children's health status were measured only in Round 4 for Panel 4 and Round 2
for Panel 5. Preventive care and priority conditions were measured only in Round
5 of Panel 4 and Round 3 of Panel 5. The self-administered and
parent-administered questionnaires were distributed only in Round 4 of Panel 4
and Round 2 of Panel 5. The diabetes care supplement was distributed in only
Round 5 of Panel 4 and Round 3 of Panel 5.
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" and
received a code of -1.
Each of the sets of variables listed above will be described in turn.
Perceived Health Status and ADL and IADL 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. The corresponding dichotomous variables RTPROX31, RTPROX42, RTPROX53,
MNPROX31, MNPROX42, and MNPROX53 each indicate whether the ratings of physical
and mental health were provided by oneself or by someone else.
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).
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.
Functional and Activity Limitations
Functional Limitations. A series of questions pertained
to functional limitations, 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". 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" 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 4) and 1 (Panel 5), if any family member was coded "Yes" to
WLKLIM31, 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 |
The series of questions was asked separately for each
person who was coded "Yes" to WLKLIM31. The series of questions was not asked
for other individual family members for whom WLKLIM31 was "No". 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, for WLKLIM31, there was no minimum age criterion used
to determine a skip pattern. 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 1
("Yes") on WLKLIM31, and also to have codes of "Inapplicable" on the subsequent
series of questions.
For Rounds 5 (Panel 4) and 3 (Panel 5), the corresponding filter question was
WLKLIM53.
The series of questions for which WLKLIM53 served as a filter was 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 |
Editing conventions were the same for this set of variables as
they were for the corresponding set 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" 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" 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).
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" response to the family-level
question (HE19), a second question (HE20) identified the specific individual(s)
to whom the "Yes" response pertained. Each individual identified as having a
limitation was coded "Yes" 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). Persons less than five years old were coded as
"Inapplicable" (-1) on ACTLIM31 and ACTLIM53.
For Round 3 (Panel 4) or Round 1 (Panel 5), if ACTLIM31 was "Yes" 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" to each activity; one person could thus report
limitation in multiple activities. WRKLIM31, HSELIM31, and SCHLIM31 have values
of "Yes" or "No" only if ACTLIM31 was "Yes"; 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).
A second question (UNABLE31) asked if the person was completely unable to work
at a job, do housework, or go to school. This question was asked only of the
same set of respondents who provided data on WRKLIM31, HSELIM31, and SCHLIM31.
Therefore, those respondents who were coded "No", "Refused", "Don't Know", or
"Not Ascertained" 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 4) or 3 (Panel 5) 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) indicating 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". Remaining family members not
identified were coded as "No" for COGLIM31 or COGLIM53.
If responses to HE24-01 through HE24-03 were all "No", or if two of three were
"No" and the remaining was "Don't Know", "Refused", or "Not Ascertained", all
family members were coded as "No". If responses to the three questions were
combinations of "Don't Know", "Refused", and missing, all persons were coded as
"Don't Know" (-8). If the response to any of the three questions was "Yes" 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". 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.
Child Care Arrangements
A series of three questions (HE25A to HE25C) provides
information on child care arrangements. These questions were asked in Round 5
(Panel 4) or Round 3 (Panel 5). These questions were asked only if the household
contained children 15 years of age or less. DAYCAR00 indicates whether any
children in the household required child care arrangements, other than school
attendance, because the child's parents were working. If the response to
DAYCAR00 was "No" (2), "Refused" (-7), "Don't Know" (-8), or "Not Ascertained"
(-9), the other two questions in this set were not asked. If DAYCAR00 was "Yes"
(1), then WHOCAR00 was asked to determine whether the child was usually cared
for by a relative or a non-relative. If the respondent answered "Relative" (1),
"Refused" (-7), "Don't Know" (-8), or "Not Ascertained" (-9) to WHOCAR00, then
the third question was not asked. However, if the respondent answered
"Non-Relative" (2), WHRCAR00 was asked to determine where the care was usually
provided. Possible responses to WHRCAR00 were: "Child's Home" (1); "Other
Private Home" (2); "Nursery, Pre-School" (3); "Organized (Before/After) School
Activities" (4); "Day Care Center, Not At Parent's Work Place" (5); "Day Care
Center, At Parent's Work Place" (6); "Parent Watches Child At Work" (7); "Some
Other Arrangement" (91); "Refused" (-7); "Don't Know" (-8); and "Not
Ascertained" (-9). (If multiple children in a household were under 16 years old,
WHOCAR00 and WHRCAR00 were asked about the youngest child.)
To reflect skip patterns, WHOCAR00 and WHRCAR00 were coded "Inapplicable" (-1)
if the response to DAYCAR00 was "No" (2), "Refused" (-7), "Don't Know" (-8), or
"Not Ascertained" (-9). Responses to WHRCAR00 were coded "Inapplicable" (-1) if
the response to WHOCAR00 was "Relative" (1), "Refused" (-7), "Don't Know" (-8),
or "Not Ascertained" (-9). Responses to all three questions were coded
"Inapplicable" (-1) if there was no child under 16 in the household.
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", 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" 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", 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" 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 for individuals who had difficulty
seeing (i.e., SEEDIF42 = 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. BLIND42
determined if a person with difficulty seeing was blind. For persons who were
not blind (BLIND42 = 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 = 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:
1 - No difficulty seeing (SEEDIF42 = 2) |
2 - Some difficulty seeing, can read newsprint (SEEDIF42 = 1
and READNW42 = 1) |
3 - Some difficulty seeing, can not read newsprint, can
recognize familiar people
(SEEDIF42 = 1 and READNW42 = 2 and RECPEP42 = 1) |
4 - Some difficulty seeing, can not read newsprint, cannot
recognize familiar people but is not blind (SEEDIF42 =1 and READNW42 =
2 and RECPEP42 = 2) |
5 - Blind (SEEDIF42 = 1 and BLIND42 = 1) |
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 for individuals who had difficulty
hearing (i.e., HEARDI42 = 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. DEAF42
determined if a person with difficulty hearing was deaf. For persons who were
not deaf (DEAF42 = 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 = 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:
1 - No difficulty hearing (HEARDI42 = 2) |
2 - Some difficulty hearing, can hear most things people say
(HEARDI42 = 1 and HEARMO42 = 1) |
3 - Some difficulty hearing, can not hear most things people
say, can hear some things people say (HEARDI42 = 1 and HEARMO42 = 2
and HEARSM42 = 1) |
4 - Some difficulty hearing, can not hear most things people
say, can not hear some things people say, but not deaf (HEARDI42 =1
and HEARMO42 = 2 and HEARSM42 = 2) |
5 -Deaf (HEARDI42 = 1 and DEAF42 = 1) |
Any Limitation Rounds 3, 4, and 5 (Panel 4) / Rounds 1, 2, and 3
(Panel 5)
ANYLIM00 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 4) or
Rounds 1, 2, and 3 (Panel 5). ANYLIM00 was built upon 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 ANYLIM00 was coded "Yes" (1). If
all components equaled "No", then ANYLIM00 equaled "No" (2). If all the
components were "Inapplicable" (-1), then ANYLIM00 was coded as "Inapplicable"
(-1). If all the components had missing value codes (i.e., -7, -8, -9, or -1),
then ANYLIM00 was coded as "Not Ascertained" (-9). If some components were "No"
and others had missing value codes, ANYLIM00 was coded as "Not Ascertained"
(-9). The exception to this latter rule was for children less than five years
old, who did not receive the ACTLIM31 or ACTLIM53 questions; for these
respondents, if all other components were "No", then ANYLIM00 was coded as "No"
(2). The variable label for ANYLIM00 departs slightly from conventions.
Typically, variables that end in "00" refer only to 2000. However, some of the
variables used to construct ANYLIM00 were assessed in 2001, so some information
from early 2001 is incorporated into this variable.
Children's Health Status
Play Limitations (Children age 4 and
under). The variable LIMACT42, indicating limitation in activities for
children ages 0 through 4, was constructed using questions HE40 and HE41. The
initial question (HE40) determined if any child aged 4 or under in the family
was limited in any way, including play activity, because of an impairment or
physical or mental health problem. If the response was "Yes", the follow-up
question determined which child should be coded "Yes". If there were other
children aged 4 or under in the family who were not identified as having
limitations, they were coded "No". If the answer to LIMACT42 was "No", all
children aged four or under in the family were coded "No". If there was an
indication that a child had a limitation, but no child was identified, all
children within the age category were coded "Don't Know" (-8). In cases where
the response to the family-level question was "Don't Know" (-8), "Refused" (-7),
or "Not Ascertained" (-9), all children ages 4 and under were coded according to
the family-level response. If a person's age (as measured by the Panel 4 Round
4/Panel 5 Round 2 age variable) was greater than 4, LIMACT42 was coded
"Inapplicable" (-1).
Other variables indicate if children aged 0 to 4 were limited in the kind or
amount of play activities (PLYLIM42), were unable to play (CANTPL42), or
participated in special programs or early interventions (SPCPRO42). If a person
aged 4 or under had no activity limitations (i.e.,LIMACT42=2), PLYLIM42,
CANTPL42, and SPCPRO42 were each coded -1 (Inapplicable). If a person's age (as
measured by the Panel 4 Round 4/Panel 5 Round 2 age variable) was greater than
4, PLYLIM42, CANTPL42, and SPCPRO42 were coded -1.
Immunization Variables (Children ages 0 through 6). Immunization information
was collected at the person-level for children ages 0 through 6 by questions
HE45 to HE49A. If the age of the child, as measured by the Panel 4 Round 4/Panel
5 Round 2 age variable, was greater than 6, all immunization variables were
coded "Inapplicable" (-1). For questions about diphtheria, whooping cough and
tetanus (DPT) or polio immunization (DPTSHT42, POLSHT42), there were follow up
questions that asked about the frequency of the immunization shots or drops
(NUMDPT42, NUMPOL42). If the answer to DPTSHT42 or POLSHT42 was "No" (2),
"Refused" (-7), "Don't Know" (-8), or "Not Ascertained" (-9), the respective
follow-up variables NUMDPT42 and NUMPOL42 were coded "Inapplicable" (-1). For
questions about immunization for measles/mumps/rubella (MMRSHT42) and for
hepatitis (HEPSHT42), there were no follow-up questions.
Behavioral Problem Variables (Children ages 5 to 17). The series of
questions HE50_01 to HE50_13 inquired about possible child behavioral problems.
Variables in this set include:
MOMPRO42: |
problem getting along with mother |
DADPRO42: |
problem getting along with father |
UNHAP42: |
feeling unhappy or sad |
SCHLBH42: |
problem with behavior at school |
HAVFUN42: |
problem having fun |
ADUPRO42: |
problem getting along with adults |
NERVAF42: |
problem with child feeling nervous or afraid |
SIBPRO42: |
problem getting along with siblings |
KIDPRO42: |
problem getting along with other kids |
SPRPRO42: |
problem engaging in sports or hobbies |
SCHPRO42: |
problem doing schoolwork |
HOMEBH42: |
problem with behavior at home |
TRBLE42: |
problem staying out of trouble. |
If the age of the child (as measured by the
Panel 4 Round 4/Panel 5 Round 2 age variable) was less than 5 or greater than
17, the variables MOMPRO42 to TRBLE42 were coded "Inapplicable" (-1).
Certain questions in this series could be Inapplicable for a specific child. For
example, if a child's mother was deceased, a question about how a child gets
along with his/her mother is Inapplicable. Similarly, the question about
problems getting along with siblings would be Inapplicable for only children. In
such instances, the relevant variable was coded "99" to indicate that it was
Inapplicable.
Special Education and Special Services (Children ages 5-17). A series of
questions asked about participation in special education programs or receipt of
therapy or special services. If the respondent was not in the age range of 5-17
years of age (as measured by the Panel 4 Round 4/Panel 5 Round 2 age variable),
or if the respondent was deceased, these questions were coded as "Inapplicable"
(-1).
SPCSCH42 is based on question HE51, which asked whether the child had an
impairment or a physical or mental health problem that limited school attendance
or required a special school program. This question served as a filter for
subsequent questions. If the response to this question was "No" (2), "Refused"
(-7), "Don't Know" (-8), or "Not Ascertained" (-9), then SPECED42 through
CANTSC42 were coded as "Inapplicable" (-1).
If the response to SPCSCH42 was "Yes" (1), then question HE52 (SPECED42) was
asked. SPECED42 asked whether the child was enrolled in any type of special
education or received related services. Possible responses to this question were
"Yes, Enrolled in Special Education" (1); "Yes, Enrolled in Related Services"
(2); "Yes, Both Special Education and Special Services" (3); "No" (4); and
"Other" (91).
If responses to SPECED42 were coded as 2 or 3, then respondents were presented
with a list of other related services and asked to indicate which one(s) the
child had received. Respondents could indicate more than one type of service.
These questions constitute variables SPCHTH42 to OTHSVC42.
SPCHTH42: |
Received speech therapy |
PSYCNS42: |
Received psychological counseling |
OCUPTH42: |
Received occupational therapy |
VOCSVC42: |
Received vocational services |
TUTOR42: |
Received tutoring |
READIN42: |
Uses a reader or interpreter |
PHYTHR42: |
Received physical therapy |
LIFSKL42: |
Received life skills training |
FAMCNS42: |
Received family counseling |
RECTH4R2: |
Received recreational therapy |
OTHSVC42: |
Received other school services |
Responses to these questions were coded as "Inapplicable"
(-1) if the response to SPECED42 was "enrolled in special education only" (1),
"Refused (-7), "Don't Know" (-8), or "Not Ascertained" (-9).
If the response to "Need Special Program" (SPCSCH42) was "Yes" (1), then
question HE53 (CANTSC42) was asked. This question asked whether the child was
limited in attendance or unable to attend school due to an impairment or a
physical or mental health problem. Responses of "Limited in Attendance" were
coded 1, "Unable to Attend" as 2, and "Neither" as 3.
Question HE54 (LMOACT42) was asked of all children ages 5-17. This question
ascertained whether the child was limited in any way in activities other than
school because of an impairment or a physical or mental health problem.
Children's Health Status: General Questions (ages 0 - 17). Several questions
were asked about all children ages 0 through 17. Respondents who were older than
17 or who were deceased were coded as "Inapplicable" (-1) for these variables.
Three questions asked for ratings of the child's health on a 4-point Likert
scale, ranging from "Definitely False" (1) to "Definitely True" (4). These
questions were:
HLTHY42: |
Child resists illness |
NTHLTH42: |
Child seems to be less healthy than other children |
GETSIC42: |
Child seems to catch diseases that are going around |
In addition, information was provided on each
child's height in feet (HGTFT42) and inches (HGTIN42), as well as each child's
weight in pounds (WGTLB42) and in ounces (WGTOZ42). For purposes of
confidentiality, the variables HGTFT42 and HGTIN42 were top-coded at 6 feet 2
inches and the variables WGTLB42 and WGTOZ42 were top-coded at 250 pounds 0
ounces.
Finally, CHLIM42 was constructed to reflect each child's inability to perform
age-appropriate social roles. For children aged 0 to 4, this variable was based
on responses to LIMACT42, PLYLIM42, and CANTPL42; for children aged 5-17, it was
based on responses to SPCSCH42, CANTSC42, and LMOACT42. If any one of these
variables had a "Yes" response (i.e., codes of 1 for LIMACT42, PLYLIM42,
CANTPL42, SPCSCH42, or LMOACT42, or codes of 1 or 2 for CANTSC42), then CHLIM42
was coded as "Yes" (1). If the relevant variables were all "No", then CHLIM42
was coded as "No" (2). CHLIM42 was coded as "Not Ascertained" (-9) if the
relevant variables were combinations of "Refused" (-7), "Don't Know" (-8), or
"Not Ascertained" (-9).
Preventive Care Variables
For each person, excluding decedents, 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
All ages; both genders |
CHOLCK53
|
about how long since last blood cholesterol check by
doctor or health professional
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 |
BRSTEX53
|
how long since last breast exam
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 |
HGHTFT53
|
height (without shoes) in feet
Age >17; both genders |
HGHTIN53
|
height (without shoes) in inches
Age >17; both genders; HGHTFT53 between 0 and 6 |
WEIGHT53
|
weight (without shoes)
Age >17; both genders |
WGTEST53
|
weight estimate (without shoes)
Age >17; both genders; WEIGHT53=-8 (person does not know person's
weight) |
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. For purposes of confidentiality, the
variables HGHTFT53 and HGHTIN53 were top-coded at 6 feet 5 inches, and the
variable WEIGHT53 was top-coded at 350 lbs. WGTEST53 was top-coded at "320 or
more" pounds to match the WEIGHT53 top-coding.
Quality Priority Conditions
Beginning in calendar year 2000, a new series
of questions was included in the MEPS interview. This set of questions focused
on several specific medical conditions:
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.
Editing of these variables focused on checking that skip patterns were
consistent.
Diabetes. DIABDX53 asked 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. ASTHDX53 asked whether the
respondent had ever been diagnosed with asthma. Those who said "Yes" were asked
additional questions. ASATAK53 asked whether the person had experienced an
episode of asthma in the past 12 months. ASFLOW53 asked whether the person with
asthma had a peak flow meter at home. ASMED53 asked if the person with asthma
took any prescription medications. For those who said "Yes" to ASMED53, a
follow-up question, ASSTER53, asked if the person used steroid inhalers. Those
who said "No" (or "Refused" or "Don't Know") to ASTHDX53 were not asked
ASATAK53, ASFLOW53, ASMED53, and ASSTER53; these respondents have been assigned
a code of "Inapplicable" (-1) for these variables.
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). If the response to BPCHEK53 was
longer than 2 years, BPMONT53 was not asked and was coded as "Inapplicable"
(-1).
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). |
If a person said "Yes" to any of the five
conditions above, follow-up questions asked if a doctor or other health
professional had ever advised the person to eat fewer high fat or high
cholesterol foods (NOFAT53), and if a doctor had advised the person to exercise
more (EXRCIS53). A third question (ASPRIN53) asked if the person with a
heart-related condition took aspirin frequently. If the person said "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", 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. Finally, those who had none of the five
heart-related conditions listed above (or who had missing data for all five of
these questions) were coded as "Inapplicable" (-1) for ASPRIN53, NOASPR53, and
STOMCH53.
Emphysema. EMPHDX53 asked if the person
(aged 18 or older) had ever been diagnosed with emphysema.
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. This question is not intended to be used as an
indicator of a diagnosis of arthritis.
2000 Self-Administered Questionnaire (SAQ)
The 2000 Self-Administered Questionnaire (SAQ),
a paper-and-pencil questionnaire, was fielded during Panel 4 Round 4 and Panel 5
Round 2 of the 2000 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 July 1, 2000 in MEPS households
were asked to complete a SAQ. The SAQ was administered in both English and
Spanish. The variable SVERLANG can be used to identify which version of the
questionnaire was administered. The questionnaires were administered in late
2000 and early 2001. The variable AGEJUL01 indicates age as of July 1, 2000.
This age variable should be used to define age in all analysis utilizing SAQ
data. If a respondent was unable to respond to the SAQ, the questionnaire was
completed by a proxy (ADPRX42>0). For the SAQ variables, a code of -1
(inapplicable) was assigned if a person was deceased, was not 18 years of age as
of July 1, 2001, was not eligible for the SAQ, or was not in applicable
subgroups defined below. When a gate question answer was = 2 (no), follow-up
variables based on the gate question were coded as -1 (inapplicable). When a
gate question answer was -7 (refused), -8 (don't know), or -9 (not ascertained),
follow-up variable answers were left as reported. A special weight variable
(SQPQW00F) has been designed to be used with the SAQ for persons whose July 1,
2000 age is age 18 and older. 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'.
Health Care Quality
CAHPS®
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:
ADRTCR42
|
Any appointment was made to see a doctor or other
health provider for regular or routine health care |
ADRTWW42
|
If ADRTCR42=1 (yes), how often got an appointment for
regular or routine health care as soon as wanted |
ADILCR42
|
Had an illness or injury needing care right away from
doctor's office, clinic or emergency room |
ADILWW42
|
If ADILCR42=1 (yes), how often got appointment for an
illness or injury as soon as wanted |
ADAPPT42 |
Number of times went to doctor's office or clinic to
get care |
ADNECR42
|
If ADAPPT42>0, how much of a problem it was to get
care 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
ADDRBP42
|
Blood pressure has been checked by a doctor, nurse, or
other health professional |
ADSMOK42 |
Currently smoke |
ADDSMK42 |
If ADSMOK42=1 (yes), doctor advised you to quit smoking |
ADSPEC42 |
Needed to see a specialist |
ADPRRE42 |
If ADSPEC42=1 (yes), how much of a problem it was to see
a specialist |
Health Status
The SAQ contained two measures of health status, the Short-Form
12 (SF-12 (r), a registered trademark) and the EuroQol 5-D (EQ-5D). These are
two of the more widely used measures of health status. Key references for these
two 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. Brooks, R.. (1996). EuroQol: The current state of play. Health Policy
37:53-72.
3. Dolan, P. (1997). Modeling variations for EuroQol health states. Medical
Care 35:1095-1108.
Short-Form 12 (SF-12). Version 1 of the SF-12 ® was used
in the 2000 SAQ. (SF-12 ® Health Survey © 1994, 2000 QualityMetric Incorporated
- All rights reserved. SF-12 ® is a registered trademark of the Medical Outcomes
Trust.) The SF-12 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 |
ADPACC42
|
During past 4 weeks, as result of physical health,
accomplished less than would like |
ADPLMT42
|
During past 4 weeks, as result of physical health,
limited in kind of work or other activities |
ADMACC42
|
During past 4 weeks, as result of mental problems,
accomplished less than you would like |
ADMLMT42
|
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 |
ADCALM42 |
During the past 4 weeks, felt calm and peaceful |
ADPEP42 |
During the past 4 weeks, had a lot of energy |
ADBLUE42 |
During the past 4 weeks, felt downhearted and blue |
ADSOCA42
|
During the past 4 weeks, physical health or emotional
problems interfered with social activities |
In analyzing data from the SF-12, 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 and a mental component. The Physical Component Summary (PCS) weights
more heavily responses to SF-12 items 2-6 above. The Mental Component Summary
(MCS) weights more heavily responses to SF-12 items 7-10 above. The other items
have roughly equal weights for physical and mental components. 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., and Keller, S.
How to Score the SF-12 (r) Physical and Mental Health Summary Scales (Third
Edition). (September 1998). QualityMetric, Inc., Lincoln, RI.
This manual can be purchased from
QualityMetric, Inc. (http://www.qualitymetric.com).
This file contains the PCS-12 and MCS-12 summary scores for the SF-12, computed
in accordance with the algorithm outlined in the manual. The PCS-12 score is
PCS42, and the MCS-12 score is MCS42.
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. QualityMetric conducted imputations of the PCS-12 and MCS-12 scores
for respondents with missing data on one or more SF-12 items. The variables
PCS42 and MCS42 include cases in which the scores were imputed. SFFLAG42
indicates whether the physical component summary, PCS42, and the mental
component, MCS42, were imputed for a respondent.
EuroQol (EQ-5D).
The EQ-5D contains five questions, asking
about the extent of problems in mobility (ADMOBI42), self-care (ADSELF42), daily
activities (ADACTI42), pain (ADPAYN42), and anxiety/depression (ADDEPR42). Each
question has three possible responses: no problem, mild problem, or severe
problem.
ADMOBI42 |
Problems with mobility |
ADSELF42 |
Problems with self-care |
ADACTI42 |
Problems with usual activities |
ADPAYN42 |
Problems with pain/discomfort |
ADDEPR42 |
Problems with anxiety/depression |
ADHLTH42 |
Health today versus the past 12 months (not an
EQ-5D question) |
ADSCAL42 |
Scale: Rating of your own health today |
Prior research (Dolan, 1997) has developed a method for
assigning a number to each health state that represents an average preference
for one state versus another. The most highly-valued state (perfect health) has
a score of 1.0; death has a score of 0.0; and all other health states have a
score in between, with higher numbers indicating that a state is valued more
highly. (Some health states actually receive a negative number, indicating that
death is preferable to being in that state.) In addition, the EQ-5D includes a
sixth question (ADSCAL42), which asks respondents to rate their current overall
health on a scale that ranges from 0 through 100, where 0 means "worst possible
health" and 100 means "best possible health." Thus, the EQ-5D produces two
scores: the preference-based index and the rating scale.
Directions for computing the preference-based index from the five EuroQol items
appear in Dolan (1997). The variable EQU42 is the preference-based index,
computed according to the formula in Dolan (1997). Persons who were ineligible
for the SAQ or who did not have a positive weight have been assigned scores of
-1 for this variable; persons who had missing responses on any of the five
component items were assigned scores of -9.
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 |
Am 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-050 codebook for the health status variables collected in
the SAQ, PAQ, and DCS (as designated in the variable labels) are based on the
full-year 2000 person weight PERWT00F. However, when using these variables in
analysis, weights specific to each of these sets of questions should be used
(SQPQW00F, DIABW00F). Please see section "3.0. Survey Sample Information" for
details.
Return To Table Of Contents
2.5.11 2000 Parent Administered
Questionnaire (PAQ)
The 2000 Parent Administered Questionnaire (PAQ),
a paper-and-pencil questionnaire, was fielded during Panel 5 Round 2 and Panel 4
Round 4. It was added to the Medical Expenditure Panel Survey (MEPS) to collect
a variety of health status and health care quality measures of children from
CAHPS and from the Children with Special Health Care Needs (CSHCN) screener.
Parents of children in MEPS for Panel 4, Round 4 and Panel 5, Round 2 were asked
to complete a PAQ for each child under 18 years age as of July 1, 2000. This age
variable should be used to define age in all analysis utilizing PAQ data. The
questionnaires were administered in late 2000 and early 2001. The variable
CHPRX42 indicates whether a parent or some other person completed the PAQ. The
variable AGEJUL01 indicates age as of July 1, 2000. A special weight variable
(SQPQW00F) has been designed to be used with the PAQ for persons whose 'July 1,
2000 age' (AGEJUL01) is less than 18 (and for the SAQ for persons whose 'July 1,
2000' age is 18 or above). This weight adjusts for PAQ (and SAQ) nonresponse and
weights to the US civilian noninstitutionalized population (see Section C-3.5 of
the documentation for details). All variables created from the PAQ begin with
"CH" and were coded as "-1 Inapplicable" when AGEJUL01 > 17 or when SQPQW00F=0
CAHPS®
TThe health care quality measures in the PAQ
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 CAHPS variables refer to events experienced in the last
12 months. The CAHPS variables included are:
CHRTCR42
|
Whether any appointments were made to see a doctor
or other health provider for regular or routine care |
CHRTWW42
|
How often a person got an appointment for regular or
routine health care as soon as was wanted (coded as "-1
Inapplicable" when CHRTCR42=2) |
CHILCR42
|
Whether a person had an illness or injury that needed
care right away from a doctor's office, clinic, or emergency room |
CHILWW42
|
How often a person got care as soon as was wanted for
an illness or injury (coded as "-1 Inapplicable" when
CHILCR42=2) |
CHAPPT42 |
How many times a person went to a doctor's office or
clinic for care |
CHNECR42
|
How much of a problem it was to get a person the care
that the parent or a doctor believed necessary (coded as "-1
Inapplicable" when CHAPPT42=0) |
CHLIST42
|
How often a person's doctors or other health
providers listened carefully to the parent (coded as "-1
Inapplicable" when CHAPPT42=0) |
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) |
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) |
CHPRTM42
|
How often doctors or other health providers spent
enough time with a person and parent (coded as "-1
Inapplicable" when CHAPPT42=0) |
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) |
CHSPEC42 |
Whether a person needed to see a specialist |
CHPRRE42
|
How much of a problem it was to get a referral to a
specialist (coded as "-1 Inapplicable" when CHSPEC42=0) |
CSHCN Screener
These questions were designed to yield
populations of Children with Special Health Care Needs (CSHCN) and were from the
parent survey based CSHCN Screener instrument.
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.
The screener 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.
The variable CSHCN42 that identifies children
with special health care needs was created using the Children with Special
Health Care Needs (CSHCN) Screener instrument according to the specifications in
the reference above. The CSHCN screener instrument consists 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 5
question sequences were then asked to respond to up to 2 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 some of the questions) were coded as having
the Special Health Care Need Status missing. More information about the CSHCN
screener questions can be obtained from (http://www.markle.org/resources/facct/).
The following variables were created from the
questions in the CSHCN Screener:
CHPMED42 |
Whether a person currently needs or uses prescribed
medicines |
CHPMHB42
|
Whether a person needs prescribed medicines because of
a medical, behavioral, or other health condition (coded as "-1
Inapplicable" when CHPMED42=2) |
CHPMCN42
|
Whether the health condition that causes a person to
need prescribed medicines has lasted or is expected to last for at
least 12 months (coded as "-1 Inapplicable" when
CHPMED42=2 or when CHPMCH42=2) |
CHSERV42
|
Whether a person needs or uses more medical care,
mental health, or education services than is usual for most children
of the same age |
CHSRHB42
|
Whether a person needs or uses more medical care,
mental health, or educational services than is usual for other
children of the same age because of a medical, behavioral, or other
health condition (coded as "-1 Inapplicable" when
CHSERV42=2) |
CHSRCN42
|
Whether the health condition that causes a person to
need or use more medical care, mental health, or educational
services than is usual for most children of the same age has lasted
or is expected to last for at least 12 months (coded as "-1
Inapplicable" when CHSERV42=2 or when CHSRHB42=2) |
CHLIMI42
|
Whether a person is limited in any way in his or her
ability to do the things most children of the same age can do |
CHLIHB42
|
Whether a person is limited in any way in the ability
to do the things most children of the same age can do because of a
medical, behavioral, or other health condition (coded as "-1
Inapplicable" when CHLIMI42=2) |
CHLICO42
|
Whether the health condition that causes a person to
be limited in the ability to do the things most children of the same
age can do has lasted or is expected to last for at least 12 months
(coded as "-1 Inapplicable" when CHLIMI42=2 or when
CHLIHB42=2) |
CHTHER42 |
Whether a person needs or gets special therapy |
CHTHHB42
|
Whether a person needs or gets special therapy because
of a medical, behavioral, or other health condition (coded as
"-1 Inapplicable" when CHTHER42=2) |
CHTHCO42
|
Whether the health condition that causes a person to
need or get special therapy has lasted or is expected to last for at
least 12 months (coded as "-1 Inapplicable" when
CHTHER42=2 or when CHTHHB42=2) |
CHCOUN42
|
Whether a person has an emotional, developmental, or
behavioral problem for which he or she needs or gets counseling. |
CHEMPB42
|
Whether the problem for which a person needs or gets
counseling has lasted or is expected to last for at least 12 months
(coded as "-1 Inapplicable" when CHCOUN42=2) |
Please note that the weighted frequencies
displayed in the HC-050 codebook for the health status variables collected in
the SAQ, PAQ, and DCS (as designated in the variable labels) are based on the
full-year 2000 person weight PERWT00F. However, when using these variables in
analysis, weights specific to each of these sets of questions should be used
(SQPQW00F, DIABW00F). Please see section "3.0. Survey Sample Information" for
details.
Diabetes Care Survey (DSDIA53- DSPRX53)
The Diabetes Care Survey (DCS), a
self-administered paper-and-pencil questionnaire, was fielded during Panel 4,
Round 5 and Panel 5, Round 3. Household respondents received a DCS based on
their response to DIABDX53 in the Priority Condition Section of the CAPI
instrument, which asks whether or not the respondent was ever told by a doctor
or health professional that he/she had diabetes. 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). The DCS data are unedited, and, therefore, these and other data
inconsistencies remain in the data. These people do not have a positive DCS
weight. DSA1C53 and DSCKFT53 indicate the number of times the respondent
reported having a hemoglobin A-one-C test and his/her feet checked for sores or
irritations in 2000, respectively. DSEYE53 indicates the last time respondents
reported having an eye exam. DSKIDN53 and DSEYPR53 ascertain whether or not 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. If a
respondent was unable to respond to the DCS, the questionnaire was completed by
a proxy (DSPRX53 = 1). A special weight variable (DIABW00F) 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
2000 (see Section C-3.3 for details).
Please note that the weighted frequencies displayed in the HC-050 codebook for
the health status variables collected in the SAQ, PAQ, and DCS (as designated in
the variable labels) are based on the full-year 2000 person weight PERWT00F.
However, when using these variables in analysis, weights specific to each of
these sets of questions should be used (SQPQW00F, DIABW00F). Please see section
"3.0. Survey Sample Information" for details.
Return To Table Of Contents
2.5.12 Utilization, Expenditures and
Source of Payment Variables (TOTTCH00-RXOSR00)
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 4 and rounds 1-3 for Panel 5 (excluding 1999
events covered in Panel 4 Round 3 and excluding 2001 events covered in Panel 5
round 3) to produce the annual utilization and expenditure data for 2000 in this
file. 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 2000. 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 1 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 2 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.
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 3 characters
of the expenditure variable names reflect the service category (except only 2
characters for prescription medicines) while the subsequent 3 characters (*** in
table) reflect the naming convention for the source of payment categories
described below (except only 2 characters for Veterans Administration). The last
2 positions of all utilization and expenditure variable names reflect the survey
year (i.e., 00). More details are provided on the utilization and expenditure
variables in sections 2.5.9.1 and 2.5.9.2 below.
Return To Table Of Contents
2.5.12.1 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 and for alternative care services
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 1990's 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 HMO's and
private HMO's as payment sources. Data were not edited to insure complete
consistency between the health insurance and source of payment variables on the
file.
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 2.5.11.2 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 2000. For
example, all payments for an orthodontist's fee that covered multiple visits
over three years were included if the initial visit occurred in 2000. However,
if a visit in 2000 to an orthodontist was part of a flat fee in which the
initial visit occurred in 1999, 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 2000 but the first
visit occurred in 1999, 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 2000. On average, the methodology used for flat fees should result in a
balance between overestimation and underestimation of expenditures in a
particular year.
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 which
itemize expenditures according to the major source of payment categories. These
categories are:
1. Out of pocket by user or family (SLF);
2. Medicare (MCR);
3. Medicaid (MCD);
4. Private Insurance (PRV);
5. Veterans' Administration, excluding CHAMPVA (VA);
6. Tricare (TRI);
7. Other Federal Sources--includes Indian Health Service, Military Treatment
Facilities, and other care provided by the Federal government (OFD);
8. Other State and Local Source--includes community and neighborhood clinics,
State and local health departments, and State programs other than Medicaid (STL);
9. Worker's Compensation (WCP);
10. 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:
11. 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
12. 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
(TOTTCH00) excludes prescribed medicines.
Return To Table Of Contents
2.5.12.2 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 2000 (OBTOTV00) as well as
the number of such visits to physicians (OBDRV00) and nonphysician providers
(OBOTHV00) are contained in this file. For a small proportion of sample persons,
the sum of the physician and nonphysician visit variables (OBDRV00+OBOTHV00) is
less than the total number of office-based visits variable (OBTOTV00) because
OBTOTV00 contains reported visits where the respondent did not know the type of
provider.
Non-physician visits (OBOTHV00) 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
non-physician providers including chiropractors (OBCHIR00), nurses/nurse
practitioners (OBNURS00), optometrists (OBOPTO00), physician assistants
(OBASST00), and physical or occupational therapists (OBTHER00).
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. OBDEXP00+OBOEXP00) is less than the total office-based
expenditure variable (OBVEXP00) for a small proportion of sample persons. This
can occur because OBVEXP00 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.
Separately billing doctor (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.
Hospital Outpatient Visits
Variables for the total number of reported visits to hospital
outpatient departments in 2000 (OPTOTV00) as well as the number of outpatient
department visits to physicians (OPDRV00) and non-physician providers (OPOTHV00)
are contained in this file. For a small proportion of sample persons, the sum of
the physician and non-physician visit variables (OPDRV00+OPOTHV00) is less than
the total number of outpatient visits variable (OPTOTV00) because OPTOTV00
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., OPVEXP00+OPOEXP00 for facility expenses) is less
than the variable for total outpatient department expenditures (OPFEXP00) for a
small proportion of sample persons. This can occur because OPFEXP00 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 ERTOT00 represents a count of all emergency room
visits reported for the survey year. Expenditure variables associated with
ERTOT00 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 ERTOT00.
Hospital Inpatient Stays
Two measures of total inpatient utilization are provided on the
file: (1) total number of hospital discharges (IPDIS00) and (2) the total number
of nights associated with these discharges (IPNGTD00). IPDIS00 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). If the number of
nights in the hospital could not be computed for any reported stay for a person,
then IPNGTD00 was assigned a missing value.
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 which contains a count of the number of inpatient events
where the reported dates of admission and discharge were the same (IPZERO00).
This variable can be subtracted from IPDIS00 to exclude zero night stays from
inpatient utilization estimates. In addition, separate expenditure variables are
provided for zero night facility expenses (ZIFEXP00) and for separately billing
doctor expenses (ZIDEXP00). 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. IPFEXP00-ZIFEXP00 for facility expenses, IPDEXP00-ZIDEXP00 for separately
billing doctor expenses).
Dental Visits
The total number of dental visits variable (DVTOT00) 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 (DVGEN00) and to orthodontists (DVORTH00). For a
small proportion of sample persons, the sum of the general dentist and
orthodontist visit variables (DVGEN00+DVORTH00) is greater than the total number
of dental visits (DVTOT00). 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 which indicate
the total number of days in 2000 where home health care was received by the
following: from any type of paid or unpaid caregiver (HHTOTD00), from agencies,
hospitals, or nursing homes (HHAGD00), from self-employed persons (HHINDD00),
and from unpaid informal caregivers not living with the sample person
(HHINFD00). 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.
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 1999 or 2000. Therefore,
expenses reported in round 3 were only included if more than half of the
person's reference period for the round was in 2000.
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 (RXTOT00) and 13
expenditure variables included on the 2000 full-year file relating to prescribed
medicines. These 13 expenditure variables include an annual total expenditure
variable (RXEXP00) and 12 corresponding annual source of payment variables
(RXSLF00, RXMCR00, RXMCD00, RXPRV00, RXVA00, RXTRI00, RXOFD00, RXSTL00, RXWCP00,
RXOSR00, RXOPR00, and RXOPU00). The total utilization variable is a count of all
prescribed medications initially purchased or otherwise obtained during 2000, as
well as any additional acquisitions of the medication. The total expenditure
variable sums all amounts paid out-of-pocket and by third party payers for each
prescription purchased in 2000. 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 problems 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 for
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 2000 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); total charge; 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.
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.
Return To Table Of Contents
3.0 Survey Sample Information
3.1 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 set pertain to calendar year 2000. The data were collected in Rounds 1, 2,
and 3 for MEPS Panel 5 and Rounds 3, 4, and 5 for MEPS Panel 4. (Note that Round
3 for a MEPS panel is designed to overlap two calendar years.) Variables convey
the same information for this full year file that has been provided for the full
year files associated with years 1996 - 1999 of MEPS. The only utilization data
that appear on the file are those associated with health care events occurring
in calendar year 2000. All such utilization data reported by MEPS respondents
for 2000 have been included in this database, regardless of panel and round.
The households in this 2000 MEPS data base are selected from households
participating in the National Health Interview Survey. Detailed information on
the MEPS sample design for Panels 1 and 2 have been previously published. 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.
MEPS-Linked to the National Health Interview Survey
There were 6,900 households (occupied
dwelling units) selected for inclusion in MEPS Panel 4. They were selected as a
nationally representative subsample of the households responding to the 1998
NHIS. A subsample of 5,380 households was selected for MEPS Panel 5 from among
households responding to the 1999 NHIS.
The NHIS sample design is multi-stage probability 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 with minorities, those containing Hispanics and blacks
are oversampled at rates of approximately 2 and 1.5 times, respectively, the
rate of remaining households. These same rates of oversampling are reflected in
the MEPS sample of 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 the 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.)
Sample Weights and Variance Estimation
In the data base "MEPS HC-050: 2000 Full Year
Population Characteristics," weight variables are provided for estimation
purposes. Procedures and considerations associated with the construction and
interpretation of person and family-level estimates using these and other
variables are discussed below.
Response Rates
In order to produce annual health care estimates for calendar
year 2000 based on the full MEPS sample, data are pooled across the Panels 4 and
5 of the MEPS. More specifically, full calendar year 2000 data collected in
Rounds 3 through 5 for the MEPS Panel 4 sample are pooled with data from the
first three rounds of data collection for the MEPS Panel 5 sample (the general
approach is illustrated below). Overall, the full 2000 MEPS sample consists of
9,515 participating reporting units (where student RUs are linked to parent RUs
for this count). These include 23,839 responding individuals that completed the
full series of MEPS interviews for their entire period of eligibility, providing
the necessary information to produce national use estimates for calendar year
2000.
301 Moved Permanently
301 Moved Permanently
Panel 4
The overall response rate through the MEPS Round 3 (reflecting
response to the 1998 NHIS and Rounds 1-3 for the MEPS Panel 4) was 66.1 percent
(.9217 x .8033 x .9371 x .9531 x 100). The conditional Round 4 and 5 response
rates were 97.3 and 99.0 percent, respectively. Thus, the overall response rate
for Panel 4 through Round 5, accounting for NHIS nonresponse, was 63.7 percent
(.6613 x .9730 x .9900 x 100). Of the 13,170 Panel 4 full year respondents with
person-level weights for calendar year 2000, 13,036 were inscope on December 31,
2000.
Panel 5
The overall response rate through the MEPS Round 1 (reflecting
response to the 1999 NHIS and Round 1 of MEPS Panel 5) was 74.9 percent (.9219 x
.8122 x 100). The conditional Round 2 and 3 response rates were 94.5 and 96.5
percent, respectively. Thus, the overall response rate for Panel 5 through Round
3, accounting for NHIS nonresponse, was 68.3 percent (.7487 x .9447 x .9652 x
100). Of the 10,669 Panel 5 full year MEPS respondents with person-level weights
for calendar year 2000, 10,555 were inscope on December 31, 2000.
Combined the MEPS Panels: Response Rate
for Annual 2000 Estimates
A pooled response rate for the survey
respondents in this data set can be obtained by taking a weighted average of the
panel-specific response rates. These weights were the relative proportion of
persons with sample weights associated with each panel, about 55 percent
associated with Panel 4, the remaining 45 percent with Panel 5. This pooled
response rate for the combined panels is 65.8 percent (63.7 x .55 plus 68.3 x
.45). There were 23,839 person-level survey participants, 23,591 were inscope on
December 31, 2000.
Return To Table Of Contents
3.2 Person-level Estimation using
this MEPS Public Use Release
Overview
There is a single person-level weight variable called PERWT00F.
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. For Panel 5 this requirement
pertained only to 2000, but for Panel 4 it pertained to both 1999 and 2000.
(Recall that a person is inscope whenever he or she is a member of the civilian,
noninstitutionalized portion of the U.S. population.)
Developing Person-level MEPS Estimates
The data in this file can be used to develop
estimates on persons in the civilian, noninstitutionalized population on
December 31, 2000 and for the slightly larger population of persons in the
civilian, noninstitutionalized population at any time during 2000. To obtain a
cross-sectional (point-in-time) estimate for all inscope persons living in the
country on December 31, 2000, include cases with both PERWT00F>0 (a positive
person-level weight) and INSC1231=1 (the person is inscope on December 31,
2000). To obtain an estimate for all persons who were inscope at some time in
2000, include all cases with PERWT00F>0. After selecting the appropriate cases,
apply the weight variable PERWT00F to the analytic variable(s) of interest to
obtain national estimates. The following table contains a summary of cases to
include and sample sizes for these two populations.
Population of Interest |
Cases to Include |
Sample Size |
Civilian, Noninstitutionalized Population on December 31,
2000 |
PERWT00F>0 and INSC1231=1 |
23,591 |
Civilian, Noninstitutionalized Population over the course
of 2000 |
PERWT00F>0 |
23,839 |
Details on Person-Level Weights Construction
Overview
The person-level weight PERWT00F was developed in three stages.
A person-level weight for Panel 5 was created, including both an adjustment for
nonresponse over time and poststratification, controlling to Current Population
Survey (CPS) population estimates based on six different variables. Then a
person-level weight for Panel 4 was created, again including an adjustment for
nonresponse over time and poststratification, controlling to CPS population
estimates based on the same six variables. A composite weight was formed from
the Panel 4 and Panel 5 weights by multiplying the Panel weights by factors
corresponding to the relative sample size of the two panels. Then a final
poststratification was done on this composite weight variable, again based on
the same five poststratification variables used previously.
MEPS Panel 4
The person-level weight for MEPS Panel 4 was developed using the
1999 full year weight for an individual as a "base" weight for survey
participants present in 1999. For key, inscope respondents who joined an RU some
time in 2000 after being out-of-scope in 1999, the "base" weight was taken to be
the 1999 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 poststratification to population control totals for December, 2000 for
key, responding persons inscope on December 31, 2000. These control totals were
derived by scaling back the population distribution obtained from the March 2001
CPS to reflect the December, 2000 estimated population distribution, employing
age and sex data available from the December, 2000 CPS. Variables used in the
establishment of person-level poststratification control figures included:
poverty status, census region (Northeast, Midwest, South, West); MSA status (MSA,
non-MSA); race/ethnicity (Hispanic, black but non-Hispanic, and other); sex, and
age. Key responding persons not inscope on December 31, 2000 but inscope earlier
in the year retained, as their final Panel 4 weight, the weight after the
nonresponse adjustment.
MEPS Panel 5
The person-level weight for MEPS Panel 5 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 2000 as well as poststratification
to the same population control figures for December 2000 used for the MEPS Panel
4 weights for key, responding persons inscope on December 31, 2000. The same six
variables employed for Panel 4 poststratification (poverty status, census
region, MSA status, race/ethnicity, sex, and age) were used for Panel 5
poststratification. As with Panel 4, Panel 5 key, responding persons not inscope
on December 31, 2000 but inscope earlier in the year retained the weight after
nonresponse adjustment as their final Panel 5 weight.
Note that the MEPS Round 1 weights for both panels incorporated the following
components: the original household probability of selection for the NHIS;
ratio-adjustment to NHIS-based national population estimates at the household
(occupied dwelling unit) level; adjustment for nonresponse at the dwelling unit
level for Round 1; and poststratification to figures at the family and person
level obtained from the corresponding March CPS data bases.
The Final Weight for 2000
Variables used in the establishment of
person-level poststratification to control totals derived from CPS data
included: census region (Northeast, Midwest, South, West); MSA status (MSA, non-MSA);
race/ethnicity (Hispanic, black but non-Hispanic, and other); sex, and age.
Persons included in this poststratification were those inscope on December 31,
2000. In addition, the weights of some persons out-of-scope on December 31, 2000
were also poststratified. Specifically, the weights of persons out-of-scope on
December 31, 2000 who 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 2000 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 populations.
Overall, the weighted population estimate for the civilian, noninstitutionalized
population for December 31, 2000 is 275,158,755 (PERWT00F>0 and INSC1231=1). The
inclusion of key, inscope persons who were not inscope on December 31, 2000
brings the estimated total number of persons represented by the MEPS respondents
over the course of the year to 278,405,516 (PERWT00F>0).
Coverage
The target population associated with this
MEPS data base is the 2000 U.S. civilian, noninstitutionalized population.
However, the MEPS sampled households are a subsample of the NHIS households
interviewed in 1998 (Panel 4) and 1999 (Panel 5). New households created after
the NHIS interviews for the respective Panels and consisting exclusively of
persons who entered the target population after 1998 (Panel 4) or after 1999
(Panel 5) 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 uncovered persons constitutes only a small proportion of the MEPS
target population.
Return To Table Of Contents
3.3 Family-level Estimation Using
this MEPS Public Use Release
There is a single family weight variable called FAMWT00F
provided in this release. FAMWT00F can be used to make estimates for the
cross-section of families in the U.S. civilian, noninstitutionalized population
on December 31, 2000 where families are identified based on the MEPS definition
of a family unit. Estimates can include MEPS families that existed at some time
during 2000 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, 2000.
Definition of "Family" for Estimation Purposes
A family in MEPS 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.) However, 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 living with
neither 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 (FAMWT00F). Each
MEPS family unit is uniquely identified by the combination of the variables DUID
and FAMIDYR. The number of persons in a MEPS sample family ranges from 1 to 14
(the positive values for the variable FAMSZEYR). Only persons with positive
nonzero family weight values (FAMWT00F>0) are candidates for inclusion in family
estimates.
Two sets of families for whom estimates can be obtained are defined in the table
below (along with respective sample sizes). Persons with FMRS1231=1 were inscope
for the survey on 12/31/00 and therefore part of a MEPS family on 12/31/00. The
more expansive definition of families (second row in table) 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) to
cover the entire civilian, noninstitutionalized population, analysts may
restrict their analyses to families with two or more members using the family
size variables shown in the table (for example, to limit consideration to the
cross-section of families with two or more members in the civilian,
noninstitutionalized population on December 31, 2000, consider only families
where FAMS1231 is at least 2.)
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 12/31/00 |
FAMWT00F>0 & FMRS1231=1 |
9,433 |
FAMS1231 |
Families in the Civilian Noninstitutionalized Population
on 12/31/00 plus families and members of families in existence
earlier in 2000 who were not part of the civilian noninstitutionalized
population on 12/31/00 |
FAMWT00F>0 |
9,515 |
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 type
definition of families.
1. Concatenate the variables DUID and FAMIDYR
into a new variable (e.g. DUIDFAMY).
2. 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).
3. Apply the weight FAMWT00F to the analytic
variable(s) of interest to obtain national family estimates.
Details on Family Weight Construction and Estimated Number of
Families
To develop the family-level weight (FAMWT00F), the person-level
weight (PERWT00F) of the family reference person (FAMRFPYR=1) was used as the
"base" weight for all responding full year families. Then, for responding
families eligible for weighting and in existence at the end of 2000, these
"base" weights were poststratified to population control figures derived from
CPS estimates for December 2000 (these figures were derived by scaling the
population totals obtained from the March 2001 CPS to reflect family estimates
as of December, 2000). 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 as of December 31, 2000.
Overall, the weighted population estimate for the 9,433 MEPS family units
containing at least one member of the U.S. civilian, noninstitutionalized
population on December 31, 2000 (those families whose members have FAMWT00F>0
and FMRS1231=1) is 118,083,441. The inclusion of families whose members left the
inscope population prior to December 31, 2000 brought the estimated total number
of families represented by the 9,515 MEPS responding families (those families
whose members have FAMWT00F>0) to 119,291,079.
Return To Table Of Contents
3.4 Analysis Using HIEUs
To construct a weight for use in analysis using Health Insurance Eligibility
Units as identified by the variable HIEUIDX:
1. 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.
2. If the weight of the HIEU head is non-zero, use the weight of the HIEU
head for all members of that HIEU; or
3. If the weight of the HIEU head is zero, delete the case.
Return To Table Of Contents
3.5 Weights and Response Rates for
the Self Administered/Parent Administered Questionnaire
For analytic purposes, a single person-level weight variable,
SQPQW00F, has been provided for use with the data obtained from the Self
Administered Questionnaire (SAQ) and the Parent Administered Questionnaire (PAQ).
Both of these questionnaires were administered in Panel 5, Round 2 and Panel 4,
Round 4. The SAQ was to be completed by each adult (person aged 18 or older) in
the family while the PAQ was to be completed by the parent or guardian for each
child (person under the age of 18). Thus, the target populations for the two
questionnaires are adults and children, respectively, in the civilian,
non-institutionalized population at the time data were collected for Rounds 2/4.
The weight variable was developed by first adjusting for questionnaire
non-response for each questionnaire type separately. Variables included in the
undertaking of the nonresponse adjustment for both adults and children were
region, MSA status, family size, marital status, level of education, health
status, health insurance status, and age. Then the weights were poststratified
to Current Population Survey (CPS) estimates corresponding to December 2000 (the
same source of control figures used for the full year person weights). The
poststratification variables were region, MSA status, age, sex, and
race/ethnicity, as were used in the poststratification of the full year person
weights. The only difference is that the age group 15-19 used for the full year
weights was partitioned into two cells, 15-17 and 18-19, because of the two
target populations for the SAQ and PAQ. To distinguish between the two target
populations the analyst should use the variable AGEJUL01 (age as of July 1).
Persons with SQPQW00F>0 and AGEJUL0118 are weighted adult respondents to the
SAQ. Persons with SQPQW00F>0 and AGEJUL01<18 are children with PAQ weights,
their parents having responded to the PAQ.
In all, there were 22,019 persons assigned either a SAQ or a PAQ weight with the
sum of all SAQ and PAQ weights being 275,158,755 (an estimate of the civilian,
noninstitutionalized population on December 31, 2000). The sum of the weights
for the 15,438 adults with positive SAQ weights is 202,737,848. The sum of the
weights for the 6,581 children with positive PAQ weights is 72,420,907.
The Panel 4, Round 4 response rate for the SAQ was 93.96 percent, and for the
PAQ it was 96.32 percent. The Panel 5, Round 2 response rate for the SAQ was
92.92 percent, and for the PAQ it was 96.18 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 (about 55 percent
associated with Panel 4, the remaining 45 percent with Panel 5). The pooled
response rate for the combined panels for the SAQ is 93.49 percent while for the
PAQ it is 96.26 percent.
Return To Table Of Contents
3.6 Weights and Response Rates for the
Diabetes Care Survey
A person-level weight, DIABW00F, was developed for use with the
data obtained from the Diabetes Care Survey (DCS). This weight was assigned to
each person with either a SAQ or PAQ weight who also was established as having
diabetes through the following process.
First a knowledgeable adult family member sharing the same residence 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 (an
adult respondent was needed for children) and who also had a SAQ or PAQ weight
were assigned a DCS weight.
In all, 1,036 people were assigned a DCS weight (DIABW00F>0). The sum of the DCS
weight is 12,761,043, an estimate of the population with diabetes as identified
by the two step proves described above.
The Panel 4, Round 5 response rate for the DCS was 90.66 percent. The Panel 5,
Round 5 response rate for the DCS was 92.36 percent. The pooled response rate
for the combined panels for the DCS is 91.43 percent. The pooled response rate
is a weighted average for the two panels, reflecting their relative sample sizes
(roughly 55 percent of the respondents are from Panel 4, the remaining 45
percent from Panel 5).
Return To Table Of Contents
3.7 Variance Estimation
To obtain estimates of variability (such as the standard error
of sample estimates or corresponding confidence intervals) for estimates based
on MEPS survey data, the complex sample design of MEPS for both person and
family-level analyses must be taken into account. Various approaches can be used
to develop such estimates of variance including use of the Taylor series or
replication methodologies. Replicate weights have not been developed for the
MEPS 2000 data.
Using a Taylor Series approach, variance estimation strata and the variance
estimation PSUs within these strata must be specified. The corresponding
variables on the 2000 MEPS full year utilization data base are VARSTR00 and
VARPSU00, respectively. Specifying a "with replacement" design in a computer
software package, such as SUDAAN, should provide 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 60 degrees of
freedom for the 2000 full year data associated with the corresponding estimates
of variance.
Return To Table Of Contents
3.8 Guidelines for which weight to use for
analysis involving data/variables from multiple sources and supplements: MEPS
2000 full-year use file
In general, the appropriate analytic weight is the one that
incorporates all potential levels of nonresponse.
For analysis involving variables from the SAQ or PAQ, the SQPQW00F should be
used. For example, if examining access to care or quality of care variables by
sociodemographics, health status, or health insurance, SQPQW00F is the
appropriate weight even though person level sociodemographic variables, health
status, and health insurance are part of the core person level questionnaire.
The exception is for analysis involving access to care or quality of care
variables from the SAQ or PAQ and variables from the Diabetes Care Survey where
DIABW00F should be used.
For analysis of the Diabetes Care Survey variables by sociodemographic
variables, health status, or health insurance (for example), DIABW00F should be
used.
For all other person level analysis, not involving variables from the SAQ, PAQ,
or DCS, PERWT00F should be used.
For all family level analysis, FAMWT00F should be used.
Return To Table Of Contents
D.
Variable-Source Crosswalk
SURVEY ADMINISTRATION VARIABLES
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 |
PANEL00 |
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 |
FAMID00 |
Fam ID (Student Merged In) - 12/31/00 |
CAPI Derived |
FAMIDYR |
Annual Family Identifier |
Constructed |
CPSFAMID |
CPS-Like Family Identifier |
Constructed |
HIEUIDX |
HIEU 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 |
RULETR00 |
RU Letter As of 12/31/00 |
CAPI Derived |
RUSIZE31 |
RU Size - R3/1 |
CAPI Derived |
RUSIZE42 |
RU Size - R4/2 |
CAPI Derived |
RUSIZE53 |
RU Size - R5/3 |
CAPI Derived |
RUSIZE00 |
RU Size As of 12/31/00 |
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 |
RUCLAS00 |
RU fielded as: Standard/New/Stud-12/31/00 |
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 |
FAMSZE00 |
RU Size Including Students As of 12/31/00 |
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 |
REGION00 |
Census Region As Of 12/31/00 |
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 |
MSA00 |
MSA Status As Of 12/31/00 |
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 |
REFPRS00 |
Reference Person As Of 12/31/00 |
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 |
RESP00 |
1st Respondent Indicator As Of 12/31/00 |
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 |
PROXY00 |
Was Respondent A Proxy As Of 12/31/00 |
RE 2 |
INTVLANG |
Language in which Interview was Completed |
Constructed |
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 |
ENDRFD00 |
2000 Reference Period End Date: Day |
RE Section |
ENDRFM00 |
2000 Reference Period End Date: Month |
RE Section |
ENDRFY00 |
2000 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 |
INSCOP00 |
Inscope - R5/3 Start Through 12/31/00 |
RE Section |
INSC1231 |
Inscope Status on 12/31/00 |
Constructed |
INSCOPE |
Was Person Ever Inscope In 2000 |
RE Section |
ELGRND31 |
Eligibility - R3/1 |
RE Section |
ELGRND42 |
Eligibility - R4/2 |
RE Section |
ELGRND53 |
Eligibility - R5/3 |
RE Section |
ELGRND00 |
Eligibility Status as of 12/31/00 |
RE Section |
ELIGIBLE |
Was Person Ever Eligible In 2000 |
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 |
DEMOGRAPHIC VARIABLES
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 |
AGE00X |
Age as of 12/31/00 (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 101, 102 |
RACETHNX |
Race/Ethnicity (Edited/Imputed) |
RE 98-102 |
HISPANX |
Hispanic Ethnicity (Edited/Imputed) |
RE 98-100 |
HISPCAT |
Specific Hispanic Ethnicity Group |
RE 98-100 |
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 |
MARRY00X |
Marital Status-12/31/00 (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 |
SPOUID00 |
Spouse ID - 12/31/00 |
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 |
SPOUIN00 |
Marital Status W/Spouse Present-12/31/00 |
RE 13, 76, 77, 97 |
EDUCYEAR |
Years of Educ When First Entered MEPS |
RE 103-105 |
HIDEGYR |
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 |
FTSTU00X |
Student Status If Ages 17-23 - 12/31/00 |
RE 11A, 106-108 |
ACTDTY31 |
Military Full-Time Active Duty - R3/1 |
RE14, 96A |
ACTDTY42 |
Military Full-Time Active Duty - R4/2 |
RE 14, 96B1 |
ACTDTY53 |
Military Full-Time Active Duty - R5/3 |
RE 14, 96B1 |
DIDSERVE |
Ever Served In Armed Forces |
RE 18, 95 |
VETVIET |
Served In Vietnam War Era |
RE 35, 94, 94A, 95, 96 |
VETKOR |
Served In Korean War Era |
RE 35, 94, 94A, 95, 96 |
VETWW |
Served In WWI Or WW2 Era |
RE 35, 94, 94A, 95, 96 |
VETOTH |
Served In Other Period |
RE 35, 94, 94A, 95, 96 |
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 |
RFREL00X |
Relation To Ref Pers - 12/31/00 (Edit/Imp) |
RE 76-77 |
MOPID31X |
PID of Person's Mom (Edited/Imputed) |
RE 76-77 |
MOPID42X |
PID of Person's Mom (Edited/Imputed) |
RE 76-77 |
MOPID53X |
PID of Person's Mom (Edited/Imputed) |
RE 76-77 |
DAPID31X |
PID of Person's Dad (Edited/Imputed) |
RE 76-77 |
DAPID42X |
PID of Person's Dad (Edited/Imputed) |
RE 76-77 |
DAPID53X |
PID of Person's Dad (Edited/Imputed) |
RE 76-77 |
INCOME VARIABLES
VARIABLE |
DESCRIPTION |
SOURCE |
SSIDIS00 |
SSI Receipt Due To Disability |
IN 39 |
AFDC00 |
Did Person's Check Include Tanf |
IN 44 |
FILEDR00 |
Has Person Filed A Fed Income Tax Return |
IN 02 |
WILFIL00 |
Will Person File Fed Income Tax Return |
IN 03 |
FLSTAT00 |
Person's Filing Status |
IN 04 |
FILER00 |
Primary Or Secondary Filer |
IN 04 |
JTINRU00 |
Joint Filer's Membership In RU |
IN 05 |
JNTPID00 |
PID of Secondary Filer |
IN 05 |
CLMDEP00 |
Did/Will Pers Claim Dependents On Return |
IN 06 |
DEPDNT00 |
Person Is Flagged A Dependent |
IN 07 |
DPINRU00 |
Dependents In/Out Of RU |
IN 07 |
DPOTSD00 |
How Many Dependents Live Outside RU |
IN 08 |
TAXFRM00 |
Tax Form Person Will File |
IN 09 |
DEDUCT00 |
Itemize Or Standard Deduction |
IN 10 |
ITMEXP00 |
Will Person Itemize Medical Expense |
IN 11 |
MEXAMT00 |
Total Amount For Medical Expenses |
IN 12 |
NTMDED00 |
Person's Net Medical Expense Deduction |
IN 13 |
TOTDED00 |
Total Of All Itemized Deductions |
IN 14 |
CLMHIP00 |
Did/Will Pers Deduct Health Insur Prem |
IN 15 |
ELDISC00 |
Did/Will Pers Receive Elderly/Disab Cred |
IN 16 |
EICRDT00 |
Did/Will Pers Receive Earned Inc Credit |
IN 17 |
UNEMTX00 |
Taxable Percentage Of Unemployment |
IN 30OV |
INTRTX00 |
Taxable Percentage Of Interest |
IN 19OV |
SSECTX00 |
Taxable Percentage Of Social Security |
IN 31OV |
IRATAX00 |
Taxable Percentage Of Ira Income |
IN 25OV |
FOODST00 |
Did Anyone Purchase Food Stamps |
IN 55 |
FOODMN00 |
Number Of Months Food Stamps Purchased |
IN 56 |
FOODCT00 |
Monthly Amount Family Paid For Food Stamps |
IN 57 |
FOODVL00 |
Monthly Value Of Food Stamps |
IN 58 |
TTLP00X |
Person's Total Income |
Constructed |
POVCAT00 |
Family Income As Percent Of Poverty Line |
Constructed |
WAGEP00X |
Person's Wage Income |
Constructed |
WAGIMP00 |
Wage Imputation Flag |
Constructed |
BUSNP00X |
Person's Business Income |
Constructed |
BUSIMP00 |
Business Income Imputation Flag |
Constructed |
FARMP00X |
Person's Farm Income |
Constructed |
FARIMP00 |
Farm Income Imputation Flag |
Constructed |
UNEMP00X |
Person's Unemployment Comp Income |
Constructed |
UNEIMP00 |
Unemployment Imputation Flag |
Constructed |
WCMPP00X |
Person's Workers' Compensation |
Constructed |
WCPIMP00 |
Workers' Comp Imputation Flag |
Constructed |
INTRP00X |
Person's Interest Income |
Constructed |
INTIMP00 |
Interest Imputation Flag |
Constructed |
DIVDP00X |
Person's Dividend Income |
Constructed |
DIVIMP00 |
Dividend Imputation Flag |
Constructed |
SALEP00X |
Person's Sales Income |
Constructed |
SALIMP00 |
Sales Income Imputation Flag |
Constructed |
PENSP00X |
Person's Pension Income |
Constructed |
PENIMP00 |
Pension Income Imputation Flag |
Constructed |
SSECP00X |
Person's Social Security Income |
Constructed |
SSCIMP00 |
Social Security Imputation Flag |
Constructed |
TRSTP00X |
Person's Trust/Rent Income |
Constructed |
TRTIMP00 |
Trust Income Imputation Flag |
Constructed |
VETSP00X |
Person's Veteran's Income |
Constructed |
VETIMP00 |
Veteran's Income Imputation Flag |
Constructed |
IRASP00X |
Person's Ira Income |
Constructed |
IRAIMP00 |
Ira Income Imputation Flag |
Constructed |
REFDP00X |
Person's Refund Income |
Constructed |
REFIMP00 |
Refund Income Imputation Flag |
Constructed |
ALIMP00X |
Person's Alimony Income |
Constructed |
ALIIMP00 |
Alimony Income Imputation Flag |
Constructed |
CHLDP00X |
Person's Child Support |
Constructed |
CHLIMP00 |
Child Support Imputation Flag |
Constructed |
CASHP00X |
Person's Other Regular Cash Contrib |
Constructed |
CSHIMP00 |
Cash Contribution Imputation Flag |
Constructed |
SSIP00X |
Person's SSI |
Constructed |
SSIIMP00 |
SSI Imputation Flag |
Constructed |
PUBP00X |
Person's Public Assistance |
Constructed |
PUBIMP00 |
Public Assistance Imputation Flag |
Constructed |
OTHRP00X |
Person's Other Income |
Constructed |
OTHIMP00 |
Other Income Imputation Flag |
Constructed |
EMPLOYMENT VARIABLES
VARIABLE |
DESCRIPTION |
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 Worked For Pay in Life as of 12/31/00 |
EM 1-4, 51; RJ 1, 6; Constructed |
HRWG31X |
Hourly Wage Rd 3/1 CMJ (Imputed) |
EW 5, 7, 11-13, 17-18, 24; EM 104, 111 |
HRWG42X |
Hourly Wage Rd 4/2 CMJ (Imputed) |
EW 5, 7, 11-13, 17-18, 24; EM 104, 111 |
HRWG53X |
Hourly Wage Rd 5/3 CMJ (Imputed) |
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 R3/1 |
EM 2-3, 51, 104, 111; EW 2-24 |
HRHOW42 |
How Hourly Wage Was Calculated R4/2 |
EM 2-3, 51, 104, 111; EW 2-24 |
HRHOW53 |
How Hourly Wage Was Calculated R5/3 |
EM 2-3, 51, 104, 111; EW 2-24 |
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 |
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 Insur at R3/1 CMJ (Ed) |
EM113, 117; RJ07, 08, 08A; HX and OE Sections |
DISVW42X |
Disavowed Health Insur at R4/2 CMJ (Ed) |
EM113, 117; RJ07, 08, 08A; HX and OE Sections |
DISVW53X |
Disavowed Health Insur at R5/3 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 |
CIND31 |
Condensed Industry Code Rd 3/1 CMJ |
EM 97-100; RJ01; Constructed |
CIND42 |
Condensed Industry Code Rd 4/2 CMJ |
EM 97-100; RJ01; Constructed |
CIND53 |
Condensed Industry Code 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 One Location |
EM 1-3, 51, 94; RJ01 |
MORE42 |
Rd 4/2 CMJ Firm Has More Than One Location |
EM 1-3, 51, 94; RJ01 |
MORE53 |
Rd 5/3 CMJ Firm Has More Than One Location |
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, 01A |
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
01, 10 |
COCCP31 |
Condensed Occupation Code Rd 3/1 CMJ |
EM99-100; RJ 01, 01A; Constructed |
COCCP42 |
Condensed Occupation Code Rd 4/2 CMJ |
EM99-100; RJ 01, 01A; Constructed |
COCCP53 |
Condensed Occupation Code Rd 5/3 CMJ |
EM99-100; RJ 01, 01A; Constructed |
BGNWK31 |
Usual Start Time of Rd 3/1 CMJ |
EM 105, 105A, 105OV; RJ 01, 02 |
BGNWK42 |
Usual Start Time of Rd 4/2 CMJ |
EM 105, 105A, 105OV; RJ 01, 02 |
BGNWK53 |
Usual Start Time of Rd 5/3 CMJ |
EM 105, 105A, 105OV; RJ 01, 02 |
ENDWK31 |
Usual End Time of Rd 3/1 CMJ |
EM 105, 105A, 105OV; RJ 01, 02 |
ENDWK42 |
Usual End Time of Rd 4/2 CMJ |
EM 105, 105A, 105OV; RJ 01, 02 |
ENDWK53 |
Usual End Time of Rd 5/3 CMJ |
EM 105, 105A, 105OV; RJ 01, 02 |
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 |
SHFTWK31 |
Irregular Work Shift Rd 3/1 CMJ |
EM 1-3, 51, 105; RJ 01, 02 |
SHFTWK42 |
Irregular Work Shift Rd 4/2 CMJ |
EM 1-3, 51, 105; RJ 01, 02 |
SHFTWK53 |
Irregular Work Shift Rd 5/3 CMJ |
EM 1-3, 51, 105; 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 |
MONTHLY HEALTH INSURANCE COVERAGE INDICATORS
VARIABLE |
DESCRIPTION |
SOURCE |
TRImm00X |
Covered By Tricare in mm 00 (Ed), where mm = JA-DE |
HX12, 13, PR19-22, HQ Section, RE14, 96A, and age at
interview date |
MCRmm00 |
Covered By Medicare In mm 00, where mm = JA-DE |
HX05-07, 27, 29, 29OV |
MCRmm00X |
Covered By Medicare In mm 00 (Ed), where mm = JA-DE |
HX05-07, 27, 29, 29OV, see documentation, section 2.5.10 ,
for additional edit specifications |
MCDmm00 |
Covered By Medicaid in mm 00, where mm = JA-DE |
HX10-11, PR07-10 and HQ Section |
MCDmm00X |
Covered By Medicaid in mm 00 (Ed), where mm = JA-DE |
MCDmm00, HX14-16, 18-19, 41-43, 45, PR11-14, 23-32, 39-42 |
OPAmm00 |
Cov By Other Public A Ins in mm 00, where mm = JA-DE |
HX14-15, 41-45, PR 23-32 and HQ Section |
OPBmm00 |
Cov By Other Public B Ins in mm 00, where mm = JA-DE |
HX14-15, 41-43, PR23-30 and HQ Section |
STAmm00 |
Covered By Other State Prog in mm 00, where mm = JA-DE |
HX16-19, PR35-38 and HQ Section |
PUBmm00X |
Covr By Any Public Ins in mm 00 (Ed), where mm = JA-DE |
TRmm00X, MCRmm00X,
MCDmm00X,
OPAmm00, OPBmm00 |
PEGmm00 |
Covered By Empl Union Ins in mm 00, where mm = JA-DE |
HX2-4, 21-24, 48; HP, OE, HQ, EM, RJ Sections |
PDKmm00 |
Covr By Priv Ins (Source Unknwn) mm 00, where mm = JA-DE |
HX21-24, 48, HP, OE, and HQ Sections |
PNGmm00 |
Covered By Nongroup Ins in mm 00, where mm = JA-DE |
HX21-24, 48, HP, OE, and HQ Sections |
POGmm00 |
Covered By Other Group Ins in mm 00, where mm = JA-DE |
HX21-24, 48, HP, OE, and HQ Sections |
PRSmm00 |
Covered By Self-Emp-1 Ins in mm 00, where mm = JA-DE |
HX3, 4, 48, HQ, OE, RJ and EM sections |
POUmm00 |
Covered By Holder Outside Of RU in mm 00, where mm = JA-DE |
HX21-24, 48, HP, OE, and HQ Sections |
PRImm00 |
Covered By Private Ins in mm 00, where mm = JA-DE |
POGmm00, PDKmm00, PEGmm00, PRSmm00, POUmm00, PNGmm00 |
HPEmm00 |
Holder Of Empl Union Ins in mm 00, where mm = JA-DE |
PEGmm00, HP9, 11 |
HPDmm00 |
Holder Of Priv Ins (Source Unknwn) mm 00, where mm = JA-DE |
PDKmm00; HP11 |
HPNmm00 |
Holder Of Nongroup Ins in mm 00, where mm = JA-DE |
PNGmm00; HP11 |
HPOmm00 |
Holder Of Other Group Ins in mm 00, where mm = JA-DE |
POGmm00; HP11 |
HPSmm00 |
Holder Of Self-Emp-1 Ins in mm 00, where mm = JA-DE |
PRSmm00; HP9 |
HPRmm00 |
Holder Of Private Insurance in mm 00, where mm = JA-DE |
HPEmm00, HPSmm00, HPOmm00, HPNmm00, HRDmm00 |
INSmm00X |
Covr By Hosp/Med Ins in mm 00 (Ed) , where mm = JA-DE |
PUBmm00X, PRImm00 |
Return To Table Of Contents
SUMMARY HEALTH INSURANCE COVERAGE INDICATORS
VARIABLE |
DESCRIPTION |
SOURCE |
PRVEV00 |
Ever Have Private Insurance During 00 |
Constructed |
TRIEV00 |
Ever Have Tricare During 00 |
Constructed |
MCREV00 |
Ever Have Medicare During 00 |
Constructed |
MCDEV00 |
Ever Have Medicaid During 00 |
Constructed |
OPAEV00 |
Ever Have Other Public A During 00 |
Constructed |
OPBEV00 |
Ever Have Other Public B During 00 |
Constructed |
UNINS00 |
Uninsured All of 00 |
Constructed |
INSCOV00 |
Health Insurance Coverage Indicator 00 |
Constructed |
MANAGED CARE VARIABLES
VARIABLE |
DESCRIPTION |
SOURCE |
MCDHMO31 |
Covered By Medicaid 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 HMO - R4/2 |
HX10-11, HX14-16, HX18-19, HX41-43, HX45, PR07-10,
PR11-14, PR23-32, PR39-42 and HQ Section |
MCDHMO00 |
Covered By Medicaid HMO - 12/31/00 |
HX10-11, HX14-16, HX18-19, HX41-43, HX45, PR07-10,
PR11-14, PR23-32, PR39-42 and HQ Section |
MCDMC31 |
Covered By Medicaid 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 |
Covered By Medicaid 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 |
MCDMC00 |
Covered By Mcaid Gatekeeper Plan-12/31/00 |
MCDHMO00, 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 |
PRVHMO00 |
Covered By Private HMO -12/31/00 |
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 |
PRVMNC00 |
Covered By Priv Gatekeeper Plan-12/31/00 |
MC01-02, HX2-4, 21-24,48; HP, OE, HQ, EM, and RJ Sections |
Return To Table Of Contents
DURATION OF HEALTH INSURANCE VARIABLES
VARIABLE |
DESCRIPTION |
SOURCE |
PREVCOVR |
Was Person Covered By Ins In Previous Two Years - Panel
5 Only |
HX64 |
COVRMM |
Month Most Recently Covered - Panel 5 Only |
HX65 |
COVRYY |
Year Most Recently Covered - Panel 5 Only |
HX65 |
WASESTB |
Was Prev Ins By Union Or Employer - Panel 5 Only |
HX66, HX78 |
WASMCARE |
Was Prev Ins By Medicare - Panel 5 Only |
HX66, HX78 |
WASMCAID |
Was Prev Ins By Medicaid/SCHIP - Panel 5 Only |
HX66, HX78 |
WASCHAMP |
Was Prev Ins By Champus/Champva - Panel 5 Only |
HX66, HX78 |
WASVA |
Was Prev Ins By VA/Military Care - Panel 5 Only |
HX66, HX78 |
WASPRIV |
Was Prev Ins By Group/Assoc/Ins Co - Panel 5 Only |
HX66, HX78 |
WASOTGOV |
Insurance That Ended Was Other Govt Prog - Panel 5 Only |
HX66, HX78 |
WASAFDC |
Was Prev Ins By Public AFDC- Panel 5 Only |
HX66, HX78 |
WASSSI |
Was Prev Ins By SSI Program - Panel 5 Only |
HX66, HX78 |
WASSTAT1 |
Was Prev Ins By State Program 1 - Panel 5 Only |
HX66, HX78 |
WASSTAT2 |
Was Prev Ins By State Program 2 - Panel 5 Only |
HX66, HX78 |
WASOTHER |
Was Prev Ins By Some Other Source - Panel 5 Only |
HX66, HX78 |
NOINSBEF |
Ever Without Health Insurance In Previous Year - Panel 5
Only |
HX70 |
NOINSTM |
Num Weeks/Months Without HI In Previous Year - Panel 5
Only |
HX71 |
NOINUNIT |
Unit For Time Without Health Insurance - Panel 5 Only |
HX71OV |
MORECOVR |
Covered By More Comprehensive Plan In Previous Two Years
- Panel 5 Only |
HX76 |
INSENDMM |
Month Most Recently Covered - Panel 5 Only |
HX77 |
INSENDYY |
Year Most Recently Covered - Panel 5 Only |
HX77 |
Return To Table Of Contents
PRE-EXISTING CONDITIONS EXCLUSIONS/DENIAL OF
INSURANCE
VARIABLE |
DESCRIPTION |
SOURCE |
DENYINSR |
Person Ever Denied Insurance - Panel 5 Only |
HX67,HX74,HX79 |
DNYCANC |
Cancer Caused Insurance Denial - Panel 5 Only |
HX68,HX75,HX80 |
DNYHYPER |
Hypertension Caused Insurance Denial - Panel 5 Only |
HX68,HX75,HX80 |
DNYDIAB |
Diabetes Caused Insurance Denial - Panel 5 Only |
HX68,HX75,HX80 |
DNYCORON |
Coronary Artery Disease Caused Insurance Denial - Panel
5 Only |
HX68,HX75,HX80 |
DENYOTH |
Other Reason Caused Insurance Denial - Panel 5 Only |
HX68,HX75,HX80 |
INSLOOK |
Person Ever Looked For Insurance? - Panel 5 Only |
HX69 |
INSLIMIT |
Any Limit/Restrictions On Insurance - Panel 5 Only |
HX72 |
LMTBACK |
Condition Caused Limit: Back Problems - Panel 5 Only |
HX73 |
LIMITOT |
Condition Caused Limit: Other - Panel 5 Only |
HX73 |
OTHER HEALTH INSURANCE COVERAGE VARIABLES
VARIABLE |
DESCRIPTION |
SOURCE |
TRICR31X |
PID Cov By Tricare - Rd 31 Int (Ed) |
Constructed |
TRICR42X |
PID Cov By Tricare - Rd 42 Int (Ed) |
Constructed |
TRICR53X |
PID Cov By Tricare - Rd 53 Int (Ed) |
Constructed |
TRICR00X |
PID Cov By Tricare - 12/31/00 (Ed) |
Constructed |
TRIAT31X |
At Any Time Coverage By Tricare - Rd 31 |
Constructed |
TRIAT42X |
At Any Time Coverage By Tricare- Rd 42 |
Constructed |
TRIAT53X |
At Any Time Coverage By Tricare- Rd 53 |
Constructed |
TRIAT00X |
At Any Time Cov By Tricare - 12/31/00 |
Constructed |
MCARE31 |
PID Cov By Medicare - Rd 31 Int Date |
Constructed |
MCARE42 |
PID Cov By Medicare - Rd 42 Int Date |
Constructed |
MCARE53 |
PID Cov By Medicare - Rd 53 Int Date |
Constructed |
MCARE00 |
PID Cov By Medicare - 12/31/00 |
Constructed |
MCARE31X |
PID Cov By Medicare - Rd 31 Int Date (Ed) |
Constructed |
MCARE42X |
PID Cov By Medicare - Rd 42 Int Date (Ed) |
Constructed |
MCARE53X |
PID Cov By Medicare - Rd 53 Int Date (Ed) |
Constructed |
MCARE00X |
PID Cov By Medicare - 12/31/00 (Ed) |
Constructed |
MCAID31 |
Cov By Medicaid of SCHIP - Rd 31 Int |
Constructed |
MCAID42 |
Cov By Medicaid Or SCHIP - Rd 42 Int |
Constructed |
MCAID53 |
Cov By Medicaid Or SCHIP - Rd 53 Int Date |
Constructed |
MCAID00 |
PID Cov By Medicaid Or SCHIP - 12/31/00 |
Constructed |
MCAID31X |
PID Cov By Medicaid Or SCHIP - Rd 31 Int Date (Ed) |
Constructed |
MCAID42X |
PID Cov By Medicaid Or SCHIP - Rd 42 Int Date (Ed) |
Constructed |
MCAID53X |
PID Cov By Medicaid Or SCHIP - Rd 53 Int Date (Ed) |
Constructed |
MCAID00X |
PID Cov By Medicaid Or SCHIP - 12/31/00 (Ed) |
Constructed |
MCDAT31X |
At Any Time Coverage By Medicaid Or SCHIP - Rd 31 |
Constructed |
MCDAT42X |
At Any Time Coverage By Medicaid Or SCHIP - Rd 42 |
Constructed |
MCDAT53X |
At Any Time Coverage By Medicaid Or SCHIP - Rd 53 |
Constructed |
MCDAT00X |
At Any Time Cov By Medicaid Or SCHIP - 12/31/00 |
Constructed |
OTPUBA31 |
Cov By/Pays Oth Gov Mcaid HMO - Rd 31 Int |
Constructed |
OTPUBA42 |
Cov By/Pays Oth Gov Mcaid HMO - Rd 42 Int |
Constructed |
OTPUBA53 |
Cov By/Pays Oth Gov Mcaid HMO - Rd 53 Int |
Constructed |
OTPUBA00 |
Cov By/Pays Oth Gov Mcaid HMO - 12/31/00 |
Constructed |
OTPAAT31 |
Any Time Cov By/Pays Oth Gov Mcaid HMO - Rd 31 |
Constructed |
OTPAAT42 |
Any Time Cov By/Pays Oth Gov Mcaid HMO - Rd 42 |
Constructed |
OTPAAT53 |
Any Time Cov By/Pays Oth Gov Mcaid HMO - Rd 53 |
Constructed |
OTPAAT00 |
Any Time Cov By/Pays Oth Gov Mcaid HMO - 12/31/00 |
Constructed |
OTPUBB31 |
Cov By Oth Gov Not Mcaid HMO - Rd 31 Int |
Constructed |
OTPUBB42 |
Cov By Oth Gov Not Mcaid HMO - Rd 42 Int |
Constructed |
OTPUBB53 |
Cov By Oth Gov Not Mcaid HMO - Rd 53 Int |
Constructed |
OTPUBB00 |
Cov By Oth Gov Not Mcaid HMO - 12/31/00 |
Constructed |
OTPBAT31 |
Any Time Cov By Oth Gov Not Mcaid HMO -Rd 31 |
Constructed |
OTPBAT42 |
Any Time Cov By Oth Gov Not Mcaid HMO -Rd 42 |
Constructed |
OTPBAT53 |
Any Time Cov By Oth Gov Not Mcaid HMO -Rd 53 |
Constructed |
OTPBAT00 |
Any Time Cov By Oth Gov Not Mcaid HMO -12/31/00 |
Constructed |
PUB31X |
PID Cov By Public Ins-Rd 31 Int Date (Ed) |
Constructed |
PUB42X |
PID Cov By Public Ins-Rd 42 Int Date (Ed) |
Constructed |
PUB53X |
PID Cov By Public Ins-Rd 53 Int Date (Ed) |
Constructed |
PUB00X |
PID Cov By Public Ins - 12/31/00 (Ed) |
Constructed |
PUBAT31X |
At Any Time Cov By Public - Rd 31 |
Constructed |
PUBAT42X |
At Any Time Cov By Public - Rd 42 |
Constructed |
PUBAT53X |
At Any Time Cov By Public - Rd 53 |
Constructed |
PUBAT00X |
At Any Time Cov By Public - 12/31/00 |
Constructed |
STAPR31 |
PID Cov By State-Specific Prog-Rd 31 Int |
Constructed |
STAPR42 |
PID Cov By State-Specific Prog-Rd 42 Int |
Constructed |
STAPR53 |
PID Cov By State-Specific Prog-Rd 53 Int |
Constructed |
STAPR00 |
PID Cov By State-Specific Prog-12/31/00 |
Constructed |
STPRAT31 |
At Any Time Coverage By State Ins - Rd 31 |
Constructed |
STPRAT42 |
At Any Time Coverage By State Ins - Rd 42 |
Constructed |
STPRAT53 |
At Any Time Coverage By State Ins - Rd 53 |
Constructed |
STPRAT00 |
At Any Time Cov By State Ins - 12/31/00 |
Constructed |
PRIEU31 |
PID Cov By Empl/Union Grp Ins- Rd 31 Int |
Constructed |
PRIEU42 |
PID Cov By Empl/Union Grp Ins- Rd 42 Int |
Constructed |
PRIEU53 |
PID Cov By Empl/Union Grp Ins- Rd 53 Int |
Constructed |
PRIEU00 |
PID Cov By Empl/Union Grp Ins - 12/31/00 |
Constructed |
PRING31 |
PID Cov By Non-Group Ins - Rd 31 Int Dt |
Constructed |
PRING42 |
PID Cov By Non-Group Ins - Rd 42 Int Dt |
Constructed |
PRING53 |
PID Cov By Non-Group Ins - Rd 53 Int Dt |
Constructed |
PRING00 |
PID Cov By Non-Group Ins - 12/31/00 |
Constructed |
PRIOG31 |
PID Cov By Other Group Ins - Rd 31 Int Dt |
Constructed |
PRIOG42 |
PID Cov By Other Group Ins- Rd 42 Int Dt |
Constructed |
PRIOG53 |
PID Cov By Other Group Ins - Rd 53 Int Dt |
Constructed |
PRIOG00 |
PID Cov By Other Group Ins - 12/31/00 |
Constructed |
PRIDK31 |
PID Cov By Priv Ins (Dk Plan)- Rd 31 Int |
Constructed |
PRIDK42 |
PID Cov By Priv Ins (Dk Plan) -Rd 42 Int |
Constructed |
PRIDK53 |
PID Cov By Priv Ins (Dk Plan) -Rd 53 Int |
Constructed |
PRIDK00 |
PID Cov By Priv Ins (Dk Plan) - 12/31/00 |
Constructed |
PRIS31 |
PID Cov By Self-Emp-1 Ins - Rd 31 Int Dt |
Constructed |
PRIS42 |
PID Cov By Self-Emp-1 Ins - Rd 42 Int Dt |
Constructed |
PRIS53 |
PID Cov By Self-Emp-1 Ins - Rd 53 Int Dt |
Constructed |
PRIS00 |
PID Cov By Self-Emp-1 Ins - 12/31/00 |
Constructed |
PROUT31 |
PID Cov By Someone Out Of RU - Rd 31 Int |
Constructed |
PROUT42 |
PID Cov By Someone Out Of RU - Rd 42 Int |
Constructed |
PROUT53 |
PID Cov By Someone Out Of RU - Rd 53 Int |
Constructed |
PROUT00 |
PID Cov By Someone Out Of RU - 12/31/00 |
Constructed |
PRIV31 |
PID Has Private Hlth Ins - Rd 31 Int Date |
Constructed |
PRIV42 |
PID Has Private Hlth Ins- Rd 42 Int Date |
Constructed |
PRIV53 |
PID Has Private Hlth Ins - Rd 53 Int Date |
Constructed |
PRIV00 |
PID Has Private Hlth Ins - 12/31/00 |
Constructed |
PRIVAT31 |
Any Time Cov By Private - Rd 31 |
Constructed |
PRIVAT42 |
Any Time Cov By Private - Rd 42 |
Constructed |
PRIVAT53 |
Any Time Cov By Private - Rd 53 |
Constructed |
PRIVAT00 |
Any Time Cov By Private - 12/31/00 |
Constructed |
INS31X |
PID Is Insured - Rd 31 Int Date (Ed) |
Constructed |
INS42X |
PID Is Insured - Rd 42 Int Date (Ed) |
Constructed |
INS53X |
PID Is Insured - Rd 53 Int Date (Ed) |
Constructed |
INS00X |
PID Is Insured - 12/31/00 (Ed) |
Constructed |
INSAT31X |
Insured Any Time In Rd31 |
Constructed |
INSAT42X |
Insured Any Time In Rd42 |
Constructed |
INSAT53X |
Insured Any Time In Rd53 |
Constructed |
INSAT00X |
Insured Any Time In Rd3 Until 12/31/00 /Rd 5 |
Constructed |
Return To Table Of Contents
DENTAL AND PRESCRIPTION DRUG PRIVATE
INSURANCE VARIABLES
VARIABLE |
DESCRIPTION |
SOURCE |
DENTIN31 |
Dental insurance coverage - R3/1 |
HX 48, OE 10, OE 24, OE 37 |
DENTIN42 |
Dental insurance coverage - R4/2 |
HX 48, OE 10, OE 24, OE 37 |
DENTIN53 |
Dental insurance coverage - R5/3 |
HX 48, OE 10, OE 24, OE 37 |
PMEDIN31 |
Prescription drug insurance - R3/1 |
HX 48, OE 10, OE 24, OE 37 |
PMEDIN42 |
Prescription drug insurance - R4/2 |
HX 48, OE 10, OE 24, OE 37 |
PMEDIN53 |
Prescription drug insurance - R5/3 |
HX 48, OE 10, OE 24, OE 37 |
Return To Table Of Contents
DISABILITY DAYS VARIABLES
VARIABLE |
DESCRIPTION |
SOURCE |
DDNWRK31 |
Health Problem Causes Work Loss (R31) |
DD 02 |
DDNWRK42 |
Health Problem Causes Work Loss (R42) |
DD 02 |
DDNWRK53 |
Health Problem Causes Work Loss (R53) |
DD 02 |
WKINBD31 |
½ Or More Of Workloss Day Spent In Bed (R31) |
DD 04 |
WKINBD42 |
½ Or More Of Workloss Day Spent In Bed (R42) |
DD 04 |
WKINBD53 |
½ Or More Of Workloss Day Spent In Bed (R53) |
DD 04 |
DDNSCL31 |
Health Problem Causes School Loss Day (R31) |
DD 05 |
DDNSCL42 |
Health Problem Causes School Loss Day (R42) |
DD 05 |
DDNSCL53 |
Health Problem Causes School Loss Day (R53) |
DD 05 |
SCLNBD31 |
½ Or More Of School Loss Day Spent In Bed (R31) |
DD 07 |
SCLNBD42 |
½ Or More Of School Loss Day Spent In Bed (R42) |
DD 07 |
SCLNBD53 |
½ Or More Of School Loss Day Spent In Bed (R53) |
DD 07 |
DDBDYS31 |
Bed Days Other Than Work Or School Loss Days (R31) |
DD 08 |
DDBDYS42 |
Bed Days Other Than Work Or School Loss Days (R42) |
DD 08 |
DDBDYS53 |
Bed Days Other Than Work Or School Loss Days (R53) |
DD 08 |
OTHDYS31 |
Work Loss Days Because Of Other's Health (R31) |
DD 10 |
OTHDYS42 |
Work Loss Days Because Of Other's Health (R42) |
DD 10 |
OTHDYS53 |
Work Loss Days Because Of Other's Health (R53) |
DD 10 |
OTHNDD31 |
Number Work Loss Days For Other's Health (R31) |
DD 11 |
OTHNDD42 |
Number Work Loss Days For Other's Health (R42) |
DD 11 |
OTHNDD53 |
Number Work Loss Days For Other's Health (R53) |
DD 11 |
Return To Table Of Contents
ACCESS TO CARE VARIABLES
VARIABLE |
DESCRIPTION |
SOURCE |
ACCELI42 |
Pers Eligible For Access Supplement |
Constructed |
HAVEUS42 |
AC 01 Does Person Have A USC Provider? |
AC01 |
YNOUSC42 |
AC 03 Main Reason Pers Doesn't Have A USC |
AC03 |
NOREAS42 |
AC 04 Oth Reas No USC: No Other Reasons |
AC04 |
SELDSI42 |
AC 04 Oth Reas No USC: Seldom Or Nev Sick |
AC04 |
NEWARE42 |
AC 04 Oth Reas No USC: Recently Moved |
AC04 |
DKWHRU42 |
AC 04 Oth Reas No USC: Dk Where To Go |
AC04 |
USCNOT42 |
AC 04 Oth Reas No USC: USC Not Available |
AC04 |
PERSLA42 |
AC 04 Oth Reas No USC: Language |
AC04 |
DIFFPLA42 |
AC 04 Oth Reas No USC: Different Places |
AC04 |
INSRPL42 |
AC 04 Oth Reas No USC: Just Changed Insur |
AC04 |
MYSELF42 |
AC 04 Oth Reas No USC: No Docs/Treat Self |
AC04 |
CARECO42 |
AC 04 Oth Reas No USC: Cost Of Med Care |
AC04 |
OTHINS42 |
AC 04 Oth Reas No USC: Ins Related Reason |
AC04 |
OTHREA42 |
AC 04 Oth Reas No USC: Other Reason |
AC04 |
TYPEPL42 |
USC Type Of Place |
AC06, AC07 |
PROVTY42 |
Provider Type |
PV01, PV03, PV05, PV10 |
YGOTOU42 |
AC 08 Main Reason Pers Goes To Hosp USC |
AC08 |
NOREA942 |
AC 09 Oth Reas Go To USC: No Other Reasons |
AC09 |
LIKESU42 |
AC 09 Oth Reas Go To USC: Prefers/Likes |
AC09 |
DKELSE42 |
AC 09 Oth Reas Go To USC: Dk Wh Else To Go |
AC09 |
AFFORD42 |
AC 09 Oth Reas Go To USC: Can't Afford Oth |
AC09 |
OFFICE42 |
AC 09 Oth Reas Go To USC: Dr Office At OPD |
AC09 |
AVAILT42 |
AC 09 Oth Reas Go To USC: Avail When Time |
AC09 |
CONVEN42 |
AC 09 Oth Reas Go To USC: Convenience |
AC09 |
BSTPLA42 |
AC 09 Oth Reas Go To USC: Best For Cond |
AC09 |
INSREA42 |
AC 09 Oth Reas Go To USC: Insurance-Related |
AC09 |
OTHRE942 |
AC 09 Oth Reas Go To USC: Other Reason |
AC09 |
GETTOU42 |
AC 09a How Does Persn Get To USC Provider |
AC09A |
TYPEPE42 |
USC Type Of Provider |
AC10, AC11, AC110V, AC12, AC12OV |
LOCATI42 |
USC Location |
Constructed |
MINORP42 |
AC 14 Go To USC For New Health Problem |
AC14 |
PREVEN42 |
AC 14 Go To USC For Preventive Health Care |
AC14 |
REFFRL42 |
AC 14 Go To USC For Referrals |
AC14 |
OFFHOU42 |
AC 15 USC Has Office Hrs Nights/Weekends |
AC15 |
APPTWL42 |
AC 16 When See USC, Have Appt Or Walk In |
AC16 |
APPDIF42 |
AC 17 How Difficult To Get Appt With USC |
AC17 |
WAITTI42 |
AC 18 With Appt, How Long Til Seen By USC |
AC18 |
PHONED42 |
AC 19 How Difficult Contact USC By Phone |
AC19 |
PRLIST42 |
AC 19a Does USC Prov Listen? |
AC19A |
TREATM42 |
AC 19b Prov Ask About Other Treatments |
AC19B |
CONFID42 |
AC 19c Confident In USC Prov's Ability? |
AC19C |
PROVST42 |
AC 19d How Satisfied With USC Staff |
AC19D |
USCQUA42 |
AC 19e Satisfied With Quality Of Care |
AC19E |
CHNGUS42 |
AC 20 Has Anyone Changed USC In Last Year |
AC20 |
YCHNGU42 |
AC 21 Why Did Person(S) Change USC |
AC21 |
ANYUSC42 |
AC 22 Has Anyone Had A USC In Last Year |
AC22 |
YNOMOR42 |
AC 23 Why Don't They Have A USC Anymore? |
AC23 |
NOCARE42 |
AC 24 Did Anyone Go W/Out Health Care? |
AC24 |
HCNEED42 |
AC 24a Satisfied Family Can Get Care |
AC24A |
OBTAIN42 |
AC 25 Anyone Have Difficlty Obtain Care |
AC25 |
MAINPR42 |
AC 25a Main Reason Experienced Difficulty |
AC25A |
NOOTHP42 |
AC 26 Difficulty: No Other Problems |
AC26 |
NOAFFO42 |
AC 26 Difficulty: Couldn't Afford Care |
AC26 |
INSNOP42 |
AC 26 Difficulty: Ins Company Won't Pay |
AC26 |
PREEXC42 |
AC 26 Difficulty: Pre-Existing Condition |
AC26 |
INSRQR42 |
AC 26 Difficulty: Ins Required Referral |
AC26 |
REFUSI42 |
AC 26 Difficulty: Dr Refused Ins Plan |
AC26 |
DISTAN42 |
AC 26 Difficulty: Distance |
AC26 |
PUBTRA42 |
AC 26 Difficulty: Public Transportation |
AC26 |
EXPENS42 |
AC 26 Difficulty: Too Expen To Get There |
AC26 |
HEARPR42 |
AC 26 Difficulty: Hearing Impair/ Loss |
AC26 |
LANGBA42 |
AC 26 Difficulty: Language Barrier |
AC26 |
INTOBL42 |
AC 26 Difficulty: Hard To Get Into Bldg |
AC26 |
INSIDE42 |
AC 26 Difficulty: Hard To Get Around |
AC26 |
EQUIPM42 |
AC 26 Difficulty: No Appropriate Equip |
AC26 |
OFFWOR42 |
AC 26 Difficulty: Couldn't Get Time Off |
AC26 |
DKWHER42 |
AC 26 Difficulty: Dk Where To Go |
AC26 |
REFUSE42 |
AC 26 Difficulty: Was Refused Services |
AC26 |
CHLDCA42 |
AC 26 Difficulty: Couldn't Get Child Care |
AC26 |
NOTIME42 |
AC 26 Difficulty: No Time/Took Too Long |
AC26 |
OTHRPR42 |
AC 26 Difficulty: Other |
AC26 |
Return To Table Of Contents
HEALTH STATUS VARIABLES
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 |
RTPROX31 |
Self/Proxy Rating Of Health - RD 3/1 |
CE 1OV |
RTPROX42 |
Self/Proxy Rating Of Health - RD 4/2 |
CE 1OV |
RTPROX53 |
Self/Proxy Rating Of Health - RD 5/3 |
CE 1OV |
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 |
MNPROX31 |
Self/Proxy Rating Of Mental Health - RD 3/1 |
CE 2OV |
MNPROX42 |
Self/Proxy Rating Of Mental Health - RD 4/2 |
CE 2OV |
MNPROX53 |
Self/Proxy Rating Of Mental Health - RD 5/3 |
CE 2OV |
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 |
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 |
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 |
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 Contact Lenses - 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-RD4/2 |
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 |
ANYLIM00 |
Any Limitation in P4R3,4,5/P5R1,2,3 |
Constructed |
LIMACT42 |
Limited In Any Activities (<5 YR)-RD 4/2 |
HE 40-41 |
PLYLIM42 |
Limited In Play Activity (<5 YRS)-RD 4/2 |
HE 42 |
CANTPL42 |
Can't Participate Usual Play (<5 YR)-R4/2 |
HE 43 |
SPCPRO42 |
In Special Program (<5 YRS) - RD 4/2 |
HE 44 |
DPTSHT42 |
Immunization For Dpt (<7 YRS) - RD 4/2 |
HE 45 |
NUMDPT42 |
One Or Several Dpt Shots (<7 YRS)-RD 4/2 |
HE 46 |
POLSHT42 |
Immunization For Polio (<7 YRS)-RD 4/2 |
HE 47 |
NUMPOL42 |
One Or Several Polio Shots (<7 YR)-RD4/2 |
HE 48 |
MMRSHT42 |
Immunization Measles/Mumps/Rubella-R4/2 |
HE 49 |
HEPSHT42 |
Immunization For Hepatitis (<7 YR)-RD4/2 |
HE 49A |
MOMPRO42 |
Problem Getting Along W/Mom (5-17)-RD4/2 |
HE 50 |
DADPRO42 |
Problem Getting Along W/Dad (5-17)-RD4/2 |
HE 50 |
UNHAP42 |
Problem Feeling Unhappy/Sad (5-17)-RD4/2 |
HE 50 |
SCHLBH42 |
Problem Behavior At School (5-17)-RD 4/2 |
HE 50 |
HAVFUN42 |
Problem Having Fun (5-17) - RD 4/2 |
HE 50 |
ADUPRO42 |
Prblm Getting Along W/Adults (5-17)-R4/2 |
HE 50 |
NERVAF42 |
Prblm Feeling Nervous/Afraid (5-17)-R4/2 |
HE 50 |
SIBPRO42 |
Problem Getting Along W/Sib (5-17)-RD4/2 |
HE 50 |
KIDPRO42 |
Prblm Getting Along W/Kids (5-17)-RD4/2 |
HE 50 |
SPRPRO42 |
Problem W/Sports/Hobbies (5-17) - RD 4/2 |
HE 50 |
SCHPRO42 |
Problem With Schoolwork (5-17)-RD 4/2 |
HE 50 |
HOMEBH42 |
Problem W/Behavior At Home (5-17)-RD 4/2 |
HE 50 |
TRBLE42 |
Prblm Stay Out Of Trouble (5-17)-RD 4/2 |
HE 50 |
SPCSCH42 |
Need Special School Program (5-17)-RD4/2 |
HE 51 |
SPECED42 |
In Special Education (5-17) - RD 4/2 |
HE 52 |
SPCHTH42 |
Received Speech Therapy (5-17) - RD 4/2 |
HE 52B |
PSYCNS42 |
Psychological Counseling (5-17) - RD 4/2 |
HE 52B |
OCUPTH42 |
Received Occupational Thrpy (5-17)-R4/2 |
HE 52B |
VOCSVC42 |
Received Vocational Services (5-17) R4/2 |
HE 52B |
TUTOR42 |
Received Tutoring (5-17) - RD 4/2 |
HE 52B |
READIN42 |
Use Reader Or Interpreter (5-17)-RD 4/2 |
HE 52B |
PHYTHR42 |
Received Physical Therapy (5-17)-RD 4/2 |
HE 52B |
LIFSKL42 |
Received Life Skills Training(5-17)-R4/2 |
HE 52B |
FAMCNS42 |
Received Family Counseling (5-17)-RD 4/2 |
HE 52B |
RECTHR42 |
Received Recreational Thrpy (5-17)-RD4/2 |
HE 52B |
OTHSVC42 |
Received Oth School Service (5-17)-RD4/2 |
HE 52B |
CANTSC42 |
Lmted/Unable To Go To School (5-17)-R4/2 |
HE 53 |
LMOACT42 |
Lmted In Non-School Activity (5-17)-R4/2 |
HE 54 |
HLTHY42 |
Child Resists Illness Well (0-17)-RD 4/2 |
HE 55 |
NTHLTH42 |
Less Hlthy Than Same Age Kids(0-17)-R4/2 |
HE 55 |
GETSIC42 |
Child Catches What's Around (0-17)-RD4/2 |
HE 55 |
HGTFT42 |
Child's Height - Feet (0-17) - RD 4/2 |
HE 56 |
HGTIN42 |
Child's Height - Inches (0-17) - RD 4/2 |
HE 56 |
WGTLB42 |
Child's Weight - Pounds (0-17) - RD 4/2 |
HE 57 |
WGTOZ42 |
Child's Weight - Ounces (0-17) - RD 4/2 |
HE 57 |
CHLIM42 |
Child Has Any Limitation (0-17) - RD 4/2 |
Constructed |
WHRCAR00 |
Where was Child Care Provided in 2000 |
HE25C |
WHOCAR00 |
Who Provided Child Care in 2000 |
HE25B |
DAYCAR00 |
Child Care Arrangements Required in 2000 |
HE25A |
DENTCK53 |
How Often Dental Check-up - RD 5/3 |
AP 12 |
CHOLCK53 |
How Lng Cholest Lst Chck (>17) - RD 5/3 |
AP 16 |
CHECK53 |
How Lng Lst Routne Checkup (>17) - RD 5/3 |
AP 17 |
FLUSHT53 |
How Lng Last Flu Sht (>17) - RD 5/3 |
AP 18 |
LSTETH53 |
Lost All Uppr And Lowr Teeth (>17) - RD 5/3 |
AP 18B |
PSA53 |
How Long Since Last PSA (>39) - RD 5/3 |
AP 19 |
HYSTER53 |
Had A Hysterectomy (>17) - RD 5/3 |
AP 20A |
PAPSMR53 |
How Lng Lst Pap Smear Tst (>17) - RD 5/3 |
AP 20 |
BRSTEX53 |
How Lng Snce Lst Breast Exam (>17) - RD 5/3 |
AP 21 |
MAMOGR53 |
How Lng Snce Lst Mammogram (>29) - RD 5/3 |
AP 22 |
STOOL53 |
Bld Stool Tst Kit/Crds Home (>17) - RD 5/3 |
AP 23 |
WHENST53 |
Whn Lst Bld Stool Tst Hme Kit (>17) - RD 5/3 |
AP 24 |
BOWEL53 |
Sigmoidoscopy/Colonoscopy (>17) - RD 5/3 |
AP 25 |
WHNBWL53 |
Lst Sigmoidoscop/Colonoscop (>17) - RD 5/3 |
AP 26 |
PHYACT53 |
Mod/Vig Phys Activ 3X Wk (>17) - RD 5/3 |
AP 28 |
HGHTFT53 |
Person Hgt W/Out Shoes-Feet (>17) - RD 5/3 |
AP 29_01 |
HGHTIN53 |
Pers Hgt W/Out Shoes-Inch (>17) - RD 5/3 |
AP 29_02 |
WEIGHT53 |
Weight Without Shoes (>17) - RD 5/3 |
AP 30 |
WGTEST53 |
Weight Estimate (>17) - RD 5/3 |
AP 31 |
SEATBE53 |
Wears Seat Belt (>15) - RD 5/3 |
AP 32 |
DIABDX53 |
Diabetes Diagnosis - RD 5/3 |
PC 02 |
ASTHDX53 |
Asthma Diagnosis - RD 5/3 |
PC 04 |
ASATAK53 |
Asthma Attack Last 12 Mos- RD 5/3 |
PC 05 |
ASMED53 |
Take Meds For Asthma - RD 5/3 |
PC 06 |
ASSTER53 |
Take Inhaled Steroids Asthma - RD 5/3 |
PC 07 |
ASFLOW53 |
Have Peak Flow Meter At Home - RD 5/3 |
PC 08 |
HIBPDX53 |
High Blood Pressure Diag (>17) - RD 5/3 |
PC 09 |
BPMLDX53 |
Mult Diag High Blood Press (>17) - RD 5/3 |
PC 10 |
BPCHEK53 |
Time Snce Lst Blood Pres Chk (>17) - RD 5/3 |
PC 11 |
BPMONT53 |
# Mos Snce Lst Blood Pres Chk (>17) - RD 5/3 |
PC 11OV |
CHDDX53 |
Coronary Hrt Disease Diag (>17) - RD 5/3 |
PC 12_01 |
ANGIDX53 |
Angina Diagnosis (>17) - RD 5/3 |
PC 12_02 |
MIDX53 |
Heart Attack (MI) Diag (>17) - RD 5/3 |
PC 12_03 |
OHRTDX53 |
Other Heart Disease Diag (>17) - RD 5/3 |
PC 12_04 |
STRKDX53 |
Stroke Diagnosis (>17) - RD 5/3 |
PC 12_05 |
EMPHDX53 |
Emphysema Diagnosis (>17) - RD 5/3 |
PC 12_06 |
NOFAT53 |
Restrict HGH Fat/Choles Food (>17)-RD 5/3 |
PC 13_01 |
EXRCIS53 |
Advised to Exercise More (>17) - RD 5/3 |
PC 13_02 |
ASPRIN53 |
Tke Aspirn Every (Othr) Day (>17)-RD 5/3 |
PC 15 |
NOASPR53 |
Taking Aspirin Unsafe (>17) - RD 5/3 |
PC 16 |
STOMCH53 |
Tke Asprn Unsafe B/C Stomch (>17) - RD 5/3 |
PC 17 |
JTPAIN53 |
Joint Pain Last 12 Months (>17) - RD 5/3 |
PC 18 |
SVERLANG |
SAQ: Language of Administration for SAQ |
CAPI derived |
AGEJUL01 |
SAQ/PAQ: Age as Of July 1, 2000 |
Constructed |
ADPRX42 |
SAQ: Relationship Of Proxy To Adult |
Constructed |
ADRTCR42 |
SAQ 12 Mos: Made Appt Routine Med Care |
SAQ Q1 |
ADRTWW42 |
SAQ 12 Mos: Got Med Appt When Wanted |
SAQ Q2 |
ADILCR42 |
SAQ 12Mos: Ill/Injury Needing Immed Care |
SAQ Q3 |
ADILWW42 |
SAQ 12 Mos: Got Care When Needed Ill/Inj |
SAQ Q4 |
ADAPPT42 |
SAQ 12 Mos:# Visits To Med Off For Care |
SAQ Q5 |
ADNECR42 |
SAQ 12Mos: Probs Getting Needed Med Care |
SAQ Q6 |
ADLIST42 |
SAQ 12 Mos: Doctor Listened To You |
SAQ Q7 |
ADEXPL42 |
SAQ 12 Mos: Doc Explained So Understood |
SAQ Q8 |
ADRESP42 |
SAQ 12 Mos: Dr Showed Respect |
SAQ Q9 |
ADPRTM42 |
SAQ 12 Mos: Dr Spent Enuf Time With You |
SAQ Q10 |
ADHECR42 |
SAQ 12 Mos: Rating Of Health care |
SAQ Q11 |
ADDRBP42 |
SAQ 2 Yrs: Dr Checked Blood Pressure |
SAQ Q12 |
ADSMOK42 |
SAQ: Currently Smoke |
SAQ Q13 |
ADDSMK42 |
SAQ 12 Mos: Dr Advised Quit Smoking |
SAQ Q14 |
ADSPEC42 |
SAQ 12 Mos: Needed To See Specialist |
SAQ Q15 |
ADPRRE42 |
SAQ 12Mos: Problem Getting Spec Referral |
SAQ Q16 |
ADGENH42 |
SAQ: Health In General SF-12 |
SAQ Q17 |
ADDAYA42 |
SAQ: Hlth Limits Mod Activities SF-12 |
SAQ Q18A |
ADCLIM42 |
SAQ: Hlth Limits Climbing Stairs SF-12 |
SAQ Q18B |
ADPACC42 |
SAQ 4 Wks: Did Less B/C Phys Probs SF-12 |
SAQ Q19A |
ADPLMT42 |
SAQ 4 Wks: Limit Wk B/C Phys Probs SF-12 |
SAQ Q19B |
PCS42 |
SAQ Physical Component Summary SF-12
Imputed |
SAQ: Q17-33 |
ADMACC42 |
SAQ 4 Wks: Did Less B/C Ment Probs SF-12 |
SAQ Q20A |
ADMLMT42 |
SAQ 4 Wks: Lim Wk B/C Ment Probs SF-12 |
SAQ Q20B |
MCS42 |
SAQ Mental Component Summary SF-12 Imputed |
SAQ Q17-33 |
SFFLAG42 |
SAQ PCS/MCS Imputation Flag SF-12 |
SAQ Q17-33 |
ADPAIN42 |
SAQ 4 Wks: Pain Limits Normal Work SF-12 |
SAQ Q21 |
ADCALM42 |
SAQ 4 Wks: Felt Calm/Peaceful SF-12 |
SAQ Q22A |
ADPEP42 |
SAQ 4 Wks: Had A Lot Of Energy SF-12 |
SAQ Q22B |
ADBLUE42 |
SAQ 4 Wks: Felt Downhearted/Blue SF-12 |
SAQ Q22C |
ADSOCA42 |
SAQ 4 Wks: Hlth Stopped Soc Activ SF-12 |
SAQ Q23 |
ADINSA42 |
SAQ: Do Not Need Health Insurance |
SAQ Q24A |
ADINSB42 |
SAQ: Health Insurance Not Worth Cost |
SAQ Q24B |
ADRISK42 |
SAQ: More Likely To Take Risks |
SAQ Q24C |
ADOVER42 |
SAQ: Can Overcome Ills Without Med Help |
SAQ Q24D |
ADMOBI42 |
SAQ Health Today: Mobility EQ-5D |
SAQ Q25A |
ADSELF42 |
SAQ Health Today: Self-Care EQ-5D |
SAQ Q25B |
ADACTI42 |
SAQ Health Today: Usual Activity EQ-5D |
SAQ Q25C |
ADPAYN42 |
SAQ Health Today: Pain/Discomfort EQ-5D |
SAQ Q25D |
ADDEPR42 |
SAQ Hlth Today: Anxiety/Depression EQ-5D |
SAQ Q25E |
ADHLTH42 |
SAQ: Health Today Vs Past 12Mos |
SAQ Q26 |
ADSCAL42 |
SAQ Scale: Health State Today EQ-5D |
SAQ Q27 |
EQU42 |
SAQ Preference Based Index EQ-5D |
SAQ Q25a-Q25e |
CHPRX42 |
PAQ: Relationship of Proxy To Child |
Constructed |
CHRTCR42 |
PAQ 12 Mos: Make Routine Care Appt-R42 |
PAQ Q1 |
CHRTWW42 |
PAQ 12 Mos: Rout Appt When Wanted-R42 |
PAQ Q2 |
CHILCR42 |
PAQ 12 Mos: Ill/Inj Needing Care-R42 |
PAQ Q3 |
CHILWW42 |
PAQ 12 Mos: Ill/Inj Care When Wanted-R42 |
PAQ Q4 |
CHAPPT42 |
PAQ 12Mos: How Many Off/Clinic Appts-R42 |
PAQ Q5 |
CHNECR42 |
PAQ 12 Mos: Probs Getting Neces Care-R42 |
PAQ Q6 |
CHLIST42 |
PAQ 12 Mos: Child's Dr Listen To You-R42 |
PAQ Q7 |
CHEXPL42 |
PAQ 12Mos: Child's Dr Explain Things-R42 |
PAQ Q8 |
CHRESP42 |
PAQ 12 Mos: Child's Dr Show Respect-R42 |
PAQ Q9 |
CHPRTM42 |
PAQ 12 Mos: Child's Dr Enough Time-R42 |
PAQ Q10 |
CHHECR42 |
PAQ 12 Mos: Rate Child's Health Care-R42 |
PAQ Q11 |
CHSPEC42 |
PAQ 12 Mos: Child Needed Specialist-R42 |
PAQ Q12 |
CHPRRE42 |
PAQ 12Mos: Prob To Get Refer To Spec-R42 |
PAQ Q13 |
CHPMED42 |
PAQ LWIM: Child Needs Prescrib Med-R42 |
PAQ Q14 |
CHPMHB42 |
PAQ LWIM:Pmed For Hlth Or Behav Cond-R42 |
PAQ Q14A |
CHPMCN42 |
PAQ LWIM: Pmed Cond Last 12+ Mos-R42 |
PAQ Q14B |
CHSERV42 |
PAQ LWIM: Child Needs Med&Oth Serv-R42 |
PAQ Q15 |
CHSRHB42 |
PAQ LWIM:Serv For Hlth Or Behav Cond-R42 |
PAQ Q15A |
CHSRCN42 |
PAQ LWIM: Serv Cond Last 12+ Mos-R42 |
PAQ Q15B |
CHLIMI42 |
PAQ LWIM: Limited In Any Way-R42 |
PAQ Q16 |
CHLIHB42 |
PAQ LWIM:Limit For Health/Behav Cond-R42 |
PAQ Q16A |
CHLICO42 |
PAQ LWIM: Limit Cond Last 12+Mos-R42 |
PAQ Q16B |
CHTHER42 |
PAQ LWIM:Child Needs Special Therapy-R42 |
PAQ Q17 |
CHTHHB42 |
PAQ LWIM:Spec Therapy For Hlth+ Cond-R42 |
PAQ Q17A |
CHTHCO42 |
PAQ LWIM: Therapy Cond Last 12+ Mos-R42 |
PAQ Q17B |
CHCOUN42 |
PAQ LWIM: Child Needs Counseling-R42 |
PAQ Q18 |
CHEMPB42 |
PAQ LWIM:Counselng Prob Last 12+ Mos-R42 |
PAQ Q18A |
CSHCN42 |
PAQ Child with Special Health Care Needs |
Constructed |
DSDIA53 |
DCS: Diabetes Diagnosis By Health Prof |
DCS Q1 |
DSA1C53 |
DCS: Times Tested For A-One-C - 2000 |
DCS Q2 |
DSCKFT53 |
DCS: Times Feet Checked For Sores - 2000 |
DCS Q3 |
DSEYE53 |
DCS: Last Eye Exam With Pupils Dilated |
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 |
DSPRX53 |
DCS: Was Respondent A Proxy |
Constructed |
WEIGHTS VARIABLES
VARIABLE |
DESCRIPTION |
SOURCE |
PERWT00F |
Final Person Weight |
Constructed |
FAMWT00F |
Final Family Weight |
Constructed |
FAMWT00C |
Poverty Adj Family Weight-CPS Fam on 12/31/00 |
Constructed |
SQPQW00F |
Final SAQ-PAQ Person Weight |
Constructed |
DIABW00F |
Final Diabetes Care Supplement Weight |
Constructed |
VARSTR00 |
Variance Estimation Stratum-2000 |
Constructed |
VARPSU00 |
Variance Estimation Psu-2000 |
Constructed |
Return To Table Of Contents
Appendix 1: Summary of
Utilization and Expenditure Variables by Health Service Category
HEALTH SERVICE CATEGORY |
UTILIZATION VARIABLE(S) |
EXPENDITURE VARIABLE(S) |
All Health Services |
-- |
TOT***00 |
|
|
|
Office Based Visits |
|
|
Total Office Based Visits (Physician + Non-physician +
Unknown) |
OBTOTV00 |
OBV***00 |
Office Based Visits to Physicians |
OBDRV00 |
OBD***00 |
Office Based Visits to Non-Physicians |
OBOTHV00 |
OBO***00 |
Office Based Visits to Chiropractors |
OBCHIR00 |
OBC***00 |
Office Based Nurse or Nurse Practitioner Visits |
OBNURS00 |
OBN***00 |
Office Based Visits to Optometrists |
OBOPTO00 |
OBE***00 |
Office Based Physician Assistant Visits |
OBASST00 |
OBA***00 |
Office Based Physical or Occupational Therapist Visits |
OBTHER00 |
OBT***00 |
|
|
|
Hospital Outpatient Visits |
|
|
Total Outpatient Visits (Physician + Non-physician +
Unknown) |
OPTOTV00 |
-- |
Facility Expense |
-- |
OPF***00 |
SBD Expense |
-- |
OPD***00 |
|
|
|
Outpatient Visits to Physicians |
OPDRV00 |
-- |
Facility Expense |
-- |
OPV***00 |
SBD Expense |
-- |
OPS***00 |
|
|
|
Outpatient Visits to Non-Physicians |
OPOTHV00 |
-- |
Facility Expense |
-- |
OPO***00 |
SBD Expense |
-- |
OPP***00 |
HEALTH SERVICE CATEGORY |
UTILIZATION VARIABLE(S) |
EXPENDITURE VARIABLE(S) |
Emergency Room Visits |
|
|
Total Emergency Room Visits |
ERTOT00 |
-- |
Facility Expense |
-- |
ERF***00 |
SBD Expense |
-- |
ERD***00 |
Inpatient Hospital Stays (Including Zero Night Stays) |
|
|
Total Inpatient Stays (Including Zero Night Stays) |
IPDIS00, IPNGTD00 |
-- |
Facility Expense |
-- |
IPF***00 |
SBD Expense |
-- |
IPD***00 |
|
|
|
Zero night Hospital Stays |
IPZERO00 |
-- |
Facility Expense |
-- |
ZIF***00 |
SBD Expense |
-- |
ZID***00 |
|
|
|
Dental Visits |
|
|
Total Dental Visits |
DVTOT00 |
DVT***00 |
General Dental Visits |
DVGEN00 |
DVG***00 |
Orthodontist Visits |
DVORTH00 |
DVO***00 |
|
|
|
Home Health Care |
|
|
Total Home Health Care |
HHTOTD00 |
-- |
Agency Sponsored |
HHAGD00 |
HHA***00 |
Paid Independent Providers |
HHINDD00 |
HHN***00 |
Informal |
HHINFD00 |
-- |
|
|
|
Other |
|
|
Vision Aids |
-- |
VIS***00 |
Other Medical Supplies and Equipment |
-- |
OTH***00 |
Prescription Medicines |
RXTOT00 |
RX***00 |
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 charges |
TCH |
Return To Table Of
Contents
Return
to the MEPS Homepage
|