MEPS HC-047: 1999 Person Round Plan Public Use File
March 2003
Agency for Healthcare Research and Quality
Center for Cost and Financing Studies
TABLE OF CONTENTS
A. Data Use Agreement
B. Background
1.0 Household Component
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 Description
2.1 Complex File Structure with Examples
2.2 Identifiers
2.3 Adding the Characteristics of Covered Persons
2.4 Adding the Policyholder's Characteristics
2.5 Choosing PRPL Records for Your Research Question
3.0 Data File Contents
3.1 ID Variables
3.2 Person Variables
3.3 Policyholder Variables
3.4 Establishment Variables
3.4.1 Employers and Other Establishments
3.4.2 Types of Coverage through the Establishment
3.4.3 Out-of-Pocket Premiums
3.5 Plan Variables
3.5.1 Household Reports of Managed Care
3.5.2 Family Satisfaction with Plan
3.5.3 Change in Plan Name
3.6 Links to Job Providing Insurance
Reference
D. Variable Source Crosswalk
A. Data Use Agreement
Individual identifiers have been removed from the micro-data
contained in the files that are part of this Public Use Release. Nevertheless, under
sections 308 (d) and 903 (c) of the Public Health Service Act (42 U.S.C. 242m
and 42 U.S.C. 299 a-1), data collected by the Agency for Healthcare Research
and Quality (AHRQ) and /or the National Center for Health Statistics (NCHS)
may not be used for any purpose other than for the purpose for which they were
supplied; any effort to determine the identity of any reported cases, is
prohibited by law.
Therefore in accordance with the above referenced Federal Statute,
it is understood that:
No one is to use the data in this data set in any way except for
statistical reporting and analysis; and
If the identity of any person or establishment should be discovered
inadvertently, then (a) no use will be made of this knowledge, (b) The
Director Office of Management AHRQ will be advised of this incident, (c) the
information that would identify any individual or establishment will be
safeguarded or destroyed, as requested by AHRQ, and (d) no one else will be
informed of the discovered identity.
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 this data you signify your agreement to comply with the
above stated statutorily based requirements with the knowledge that deliberately
making a false statement in any matter within the jurisdiction of any
department or agency of the Federal Government violates Title 18 Part 1
Chapter 47 Section 1001 and is punishable by a fine of up to $10,000 or up to
5 years in prison.
The Agency for Healthcare Research and Quality requests that users
cite AHRQ and the Medical Expenditure Panel Survey as the data source in any
publications or research based upon these data.
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B. Background
This documentation describes one in a series of public use files
from the Medical Expenditure Panel Survey (MEPS). The survey provides a new and extensive
data set on the use of health services and health care in the United States.
MEPS is conducted to provide 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) (formerly the Agency for Health Care
Policy and Research (AHCPR)) and the National Center for Health Statistics (NCHS).
MEPS comprises three component surveys: the Household Component
(HC), the Medical Provider Component (MPC), and the Insurance Component (IC). The HC is
the core survey, and it forms the basis for the MPC sample and part of the IC
sample. 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, the National Medical Expenditure Survey (NMES-2) in 1987. Beginning in
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 accommodate
these goals, new MEPS design features include linkage with the National Health
Interview Survey (NHIS), from which the sampled households for the MEPS HC are
drawn, and continuous 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.
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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 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 sample of households selected for the MEPS HC is drawn from
among respondents to the NHIS, conducted by NCHS. The NHIS provides a nationally
representative sample of the U.S. civilian non-institutionalized population,
with oversampling of Hispanics and blacks.
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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.
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3.0 Insurance Component
The MEPS IC collects data on health insurance plans obtained through
employers, unions, and other sources of private health insurance. 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
four 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.
- An Internal Revenue Service list of the self-employed.
To provide an integrated picture of health insurance, data collected
from the first sampling frame (employers and insurance providers) are linked back to data
provided by the MEPS HC respondents. Data from the other three sampling frames
are collected to provide annual national and State estimates of the supply of
private health insurance available to American workers and to evaluate policy
issues pertaining to health insurance.
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 followup for nonrespondents.
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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 and microdata
files. Summary reports are released as printed documents and/or electronic files
on the MEPS web site (www.meps.ahrq.gov). All
microdata files are available for download from the MEPS web site in compressed formats
(zip and self-extracting executable files.) Selected data files are available on CD-ROM
from the MEPS Clearinghouse.
For printed documents and CD-ROMs that 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 or CD-ROM you are
requesting.
Additional information on MEPS is available from the MEPS web
site (www.meps.ahrq.gov).
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C. Technical and Programming Information
1.0 General Information
This public use data file contains data for each person with private
health insurance reported in rounds 2 through 5 of Panel 3 and rounds 1 through 3 of
Panel 4 (i.e., the rounds for the survey panels covering calendar year 1999) of
the Medical Expenditure Panel Survey Household Component (MEPS HC). Released as
an ASCII file with SAS format statements and in SAS transport format, this
public use file provides information collected on a nationally representative
sample of the civilian noninstitutionalized population of the United States
during the calendar year 1999. The HC-047 file contains records for persons
insured through establishments providing hospital/physician, medigap, dental,
vision, prescription medication, or long-term care coverage and includes
variables pertaining to managed care and satisfaction with plan coverage.
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2.0 Data File Description
The Person-Round-Plan (PRPL) file for 1999 is a complex file
of privately insured persons and their private health insurance plans and links
to the jobs providing insurance. The PRPL file is designed to facilitate
research on the sometimes complex and dynamic relationships between consumers
and their private insurance. It is not a person-level file, and linking the PRPL
file to a person-level file (such as HC-013 and HC-038) requires users making
analytic decisions based on understanding the complexity of the PRPL file.
Records contain the following types of information (Figure 1):
- Covered person
- Flags for whether the person is the policyholder or a dependent
- Whether enrolled at time of interview
- Months enrolled during the reference period for the interview
- Interview Round
- Policyholder
- Establishment providing insurance
- Type of establishment (employer, union, insurance agent, etc.)
- Types of coverage (hospital/physician, medigap, dental, vision,
prescription medication, long-term care, COBRA, single or family)1
- Out-of-pocket premium (only for Panel 4 round 1 and only when either the
plan is not through a current employer or union, or the plan is from a previous employer)
- Plan (for hospital/physician and Medicare supplemental insurance coverage only)
- Household reports of managed care
- Family satisfaction with plan (collected for rounds 2 and 4)
- Links to the job providing insurance (for employment-based insurance only, HC-032)
On the records for dependents, variables link to the
policyholder's job providing insurance, rather than the dependent's job.
"Establishment"
refers to the organization through which the policyholder obtains private
insurance. The establishment may be an employer, a union, an insurance agent, an
insurance company, a professional association, or another type of organization.
Many questions in the MEPS HC instrument are asked in reference to the
establishment providing insurance to the policyholder. For example, the MEPS HC
asks about the "types of health
insurance" or covered services, such
as hospital/physician and dental coverage, the policyholder gets through the
establishment.
For each establishment, a "plan" is A
the insurance company or Health Maintenance Organization (HMO)" or
self-insured company "from which (POLICYHOLDER) receives"
hospital/physician or Medicare supplemental (Medigap) coverage. For some focused
analyses, it may be important to recognize that information collected at the
establishment level does not necessarily pertain to the plan level. For example,
if a policyholder obtains from the establishment two separate plans, a
hospital/physician plan and a dental plan, then the dental plan may not have the
same managed care characteristics as the hospital/physician plan.
1 No effort has
been made to validate variables representing type of coverage with external
sources.
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2.1 Complex File Structure with Examples
The PRPL file is designed to reflect the sometimes complex
and dynamic relationships between people and their private insurance. It allows
maximum flexibility for researchers, but it also requires that they make
analytical decisions in their research.
The PRPL file is a person-round-policyholder-establishment-level
file. There is one unique record for each unique combination of establishment (source of
private insurance), policyholder, interview round, and covered person (policyholder or
dependent). Thus, the PRPL file contains at least one record for each person in each round
with private health insurance, or 54,736 total records. The PRPL file contains records for
persons insured through establishments providing hospital/physician, medigap, dental,
vision, prescription medication, or long-term care coverage.
In most cases in this file, one person in the family has
insurance from his or her employer, and this insurance covers everyone in the family. In
this case, there is one record for each family member in each round, and each record flags
the policyholder's current main job and links to the one job record in HC-032. However,
other cases are more complex, and some hypothetical examples follow.
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Multiple Establishments
- Juan and Maria are both employed parents, both have health
insurance through their employers, and both parents choose family coverage. In this
case, there are two PRPL records for each family member in each round.
- John and Jane are both employed parents. John has single coverage
from his employer. Jane has family coverage from her employer. In this case, Jane and
the children each have one PRPL record for each round. John has two records
for each round.
- Jamie has Medicare and Medicare supplemental insurance. In this
case, Jamie has one PRPL record in each round for the Medicare supplemental
insurance. There is no record for Medicare, because it is public insurance.
- Arlene is a child living with her mother. Both have Medicaid.
Arlene's father, who does not live with them, has private insurance that covers
Arlene. Arlene has one PRPL record in each round for the private insurance.
There is no record for Medicaid, because it is public insurance.
No Private Insurance
- Paul is uninsured. In this case, Paul does not have any PRPL
records.
- Mary has Medicaid instead of private coverage. In this case, Mary
does not have any PRPL records.
Sources of Insurance: Employers and Other Establishments
- Dexter is an employed parent with family coverage through his
current main job. In this case, each family member's PRPL record flags Dexter's
current main job as the source of insurance, and each family member's PRPL record links
to that job record in Public Use File (PUF) HC-032.
- Claire is employed, but she does not have insurance through her
job. Instead she buys a plan directly from an HMO. In this case, Claire's PRPL records
do not flag her current main job, nor do they link to any job records in PUF HC-032.
- Fred has hospital/physician insurance through his employer, and
he buys long-term care insurance through an insurance agent. In this case, Fred has
two PRPL records, and only the employment-based insurance flags his current
main job and links to a job record in PUF HC-032.
Policyholders Not in the Household
- Edith is a widow and has retiree insurance from her former
husband's former job. In this case, Edith's PRPL record does not link to any employment
information in the MEPS. There is also a PRPL record for Edith's former husband, where
he is flagged as the policyholder and flagged as deceased, but this record does not link
to any records on any PUFs.
- Matilda's parents are divorced. She lives with her father, but
her insurance is through her mother's job. In this case, Matilda's PRPL record does not
link to any employment information in the MEPS. There is also a PRPL record for
Matilda's mother, where she is flagged as the policyholder and not residing in the
Respondent Unit (RU), but this PRPL record does not link to any records on any PUFs.
Changes in Insurance
- Bob changes jobs between January 1st, 1999 and the
date of his MEPS interview, and both jobs provided health insurance. In this case, Bob
has two PRPL records for the round. EVALCOVR shows whether one or both plans
covered Bob on the interview date.
- Julie quits her job in round 1 (Panel 4) but pays her previous
employer to continue her health insurance while she looks for another job in round 2. In
this case, Jane's round 1 PRPL record flags her current main job as the source of his
insurance and links to a job record in PUF HC-032. Julie's round 2 PRPL record does not
flag her current main job as the source of her insurance, but it links to the same job
record from round 1. Thus, the jobs variables from round 1 are no longer current in
round 2, but the link exists for users.
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2.2 Identifiers
Each record contains the following ID variables:
DUPERSID is the person identifier (either a dependent or a
policyholder).
RN is the round of the interview in which the enrollment data
were collected
PHLDRIDX is the person identifier of the policyholder
ESTBIDX is an ID number for the establishmentB employer, union,
insurance company or otherB that is the source of insurance coverage on the record.
EPRSIDX is a combination of ESTBIDX and the PHLDRIDX, and it
uniquely identifies the insurance coverage that a policyholder obtains from an individual
establishment.
EPCPIDX is a combination of DUPERSID, RN, and EPRSIDX, and it
uniquely identifies each record.
JOBSIDX is a combination of the PHLDRIDX a round identifier (RN) and
a job number (JOBSN), and it uniquely identifies the policyholder's job at the
establishment that provided insurance (for employment-based coverage)
For each person covered by a policyholder-establishment combination,
the PHLDRIDX, ESTBIDX, and EPRSIDX appear on each plan record for that coverage.
A person (DUPERSID) can be listed more than once on this file
(1) if they are covered (as a policyholder or a dependent) by insurance policies
from more than one establishment, or (2) if they are covered in more than one
round. Establishment-policyholder pairs (EPRSIDXs) can be listed more than once
(1) if the health plan a policyholder obtains from a given establishment also
covers his/her dependents, or (2) if the health plan a policyholder obtains from
a given establishment provides coverage in more than one interview round. As
noted above, there is a PRPL record for each unique combination of establishment
(source of insurance), round, and covered person (policyholder or dependent).
The following table presents a hypothetical example that illustrates the
relationship between the ID variables on this file.
ESTBIDX |
DUPERSID |
PHLDRIDX |
EPRSIDX |
RN |
EPCPIDX |
JOBSIDX |
11 |
42 |
42 |
1142 |
1 |
1142142 |
42101 |
11 |
42 |
42 |
1142 |
2 |
1142242 |
42201 |
11 |
42 |
42 |
1142 |
3 |
1142342 |
42301 |
22 |
53 |
53 |
2253 |
1 |
2253153 |
53101 |
33 |
53 |
53 |
3353 |
1 |
3353153 |
-1 |
44 |
61 |
61 |
4461 |
1 |
4461161 |
61101 |
44 |
62 |
61 |
4461 |
1 |
4461162 |
61101 |
44 |
63 |
61 |
4461 |
1 |
4461163 |
61101 |
55 |
71 |
71 |
5571 |
1 |
5571171 |
71102 |
55 |
71 |
71 |
5571 |
2 |
5571271 |
71102 |
The first three rows of the table represent a situation where
a person (DUPERSID=42) is listed thrice in the PRPL file because she obtains
insurance from the same establishment in all three rounds. Since the person is
the policyholder, her DUPERSIDX is the same as the PHLDRIDX, which is repeated
in the EPRSIDX, EPCPIDX, and JOBSIDX.
The fourth and fifth rows of the table represent a situation
where a person (DUPERSID=53) is listed twice in the PRPL file because she
obtains insurance from more than one establishment. In this example, the second
establishment is not an employer or union, so JOBSIDX is inapplicable (-1).
The sixth, seventh, and eighth rows of the table represent a
situation where a policyholder and two dependents obtain coverage through the
policyholder's employer (a unique
establishment-policyholder pair, EPRSIDX=4461). The policyholder's PHLDRIDX appears in the
EPRSIDX and the JOBSIDX for all three covered persons.
The last two rows of the table represent a situation where a
person is retired and has retiree insurance through a job that ended prior to
1999. In Panel 4, round 1, the respondent reported the job from which the sample
member retired, and MEPS does not ask about that job again. However, in each
round we ask about the health insurance. So in round 2 the JOBSIDX contains
round number 1, when the jobs data were last collected.
Finally, note that EPCPIDX uniquely identifies each record on
the file.
In order to conduct person-level analyses, it is necessary to
identify all policies that cover each individual either as a policyholder or as
a dependent. Since each person in the PRPL file is uniquely identified by
the variable DUPERSID, person-level analyses can be conducted by examining all
PRPL records containing each DUPERSID.
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2.3 Adding the Characteristics of Covered Persons
The DUPERSID allows you to link to the age, sex, race, health
status, or other person-level variables from the other HC files. However, this
will result in multiple records per person, and estimates will not be nationally
representative unless you use one PRPL record per person or summarize PRPL
records to the person level (and use weights).
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2.4 Adding the Policyholder's Characteristics
The PHLDRIDX allows you to link characteristics of the
policyholder onto the records of every person covered by the plan. For example,
suppose you wanted to study persons whose private employment-based insurance is
through an employee working full time at a current main job as of the first
interview of 1999 (Panel 4 round 1). Then you would select PRPL records matching
HC-013 (PUF13FLG=1) where the insurance is through a current main job (CMJINS=1).
From HC-013, select the DUPERSID and HOUR13 variables and rename DUPERSID to
PHLDRIDX. Merge HOUR13 onto the PRPL file by PHLDRIDX.
Some policyholders do not have records on HC-013 or HC-038.
These include deceased policyholders and policyholders residing outside the RU.
For these policyholders, PUF13FLG and PUF38FLG may be equal to 2, depending on
when the policyholder left the RU. All of the covered person records for these
establishment-policyholder pairs are flagged with DECPHLDR, OUTPHLDR, or NOPUFLG
equal to 1. Deceased policyholders complicate the estimation of nationally
representative statistics on active policies. For these
establishment-policyholder pairs, users must choose a covered person with a
positive weight. However, establishment-policyholder pairs where the
policyholder resides outside the RU should not be included in estimates, because
this will result in double counting, as RU members covering those outside the RU
are already included.
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2.5 Choosing PRPL Records for Your Research Question
In order to produce estimates from the data in this file,
researchers must use the person (or family) level weights released in either of
two previously released PUFs, HC-013 or HC-038. Researchers must consult the
documentation for these PUFs for guidance on creating nationally representative
estimates for different time periods.
Note that if there are multiple records per person (DUPERSID)
when you merge on weights, you will double count some people, and your estimates
will not be nationally representative. There are two solutions: select only one
record per person, or aggregate information across PRPL records.
How you develop your analytical file depends on your research
question. The PRPL file is designed to help answer a wide variety of research
questions. AHRQ cannot anticipate all these questions, so this section provides
examples of how to use the PRPL file for four research questions.
How many people were covered by two or more private
hospital/physician insurance plans at the end of 1999?
Select the Panel 4 round 3 and Panel 3 round 5 records with
PRIVCAT>0 and MSUPINS ne 1 and EVALCOVR=1. Count the number of records for
each person (DUPERSID). Create one person-level record for each DUPERSID that
has the number of plans (PRPL records). Merge the count variable onto PUF HC-038
and use weights, strata, and PSUs to create nationally representative estimates.
How many people reported private dental coverage from an
employer at the end of 1999?
Select the Panel 4 round 3 and Panel 3 round 5 records with
DNTLINS=1 and PRIVCAT in (1,4,5) and EVALCOVR=1. Among these records, select one
record for each person (DUPERSID). Merge each record onto PUF HC-038 and use
weights, strata, and PSUs to create nationally representative estimates.
At the time of the first interview, how many private
insurance policies for hospital/physician were not employment-based?
Select the Panel 4 round 1 records with PRIVCAT in (2, 3, 99)
and EVALCOVR=1. Select one record for each policyholder-establishment pair (EPRSIDX).
To have a positive weight for the final count, we recommend choosing the covered
person record of the policyholder (PHOLDER=1), unless the policyholder is
deceased (DECPHLDR=1), in which case then the researcher should choose a
different covered person's record.
Merge each record onto PUF HC-013 and use weights, strata, and PSUs to create
nationally representative estimates.
How many people who had private health insurance for
hospitals/physicians in January 1998 also had health insurance in December 1999
from the same source?
From the 1999 Person Round Plan file (HC-047), select all the
panel 3 round 1 records with PRIVCAT>0 and MSUPINS ≠ 1 and STATUS1=1.
Select the DUPERSID and EPRSIDX variables. Then select all the round 5 records
with STATUS24=1, and select the EPRSIDX and DUPERSID variables. A successful
match between round 1 and round 5 records is coverage from the same source in
both times. A person might, however, have coverage from more than one source in
both January and December, so to avoid double counting persons, eliminate any
duplicate DUPERSIDs before merging the round 1 and round 5 records. Merge the
matches onto PUF HC-035 and use longitudinal weights, strata, and PSUs to create
nationally representative estimates.
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3.0 Data File Contents
3.1 ID Variables
In the MEPS Household Component, the definitions of
Dwelling Units (DUs) and Group Quarters 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. The person number (PID) uniquely identifies all persons
within the dwelling unit. The variable DUPERSID is the combination of the
variables DUID and PID. The MEPS - HC - PRPL file can be linked to other
person-level public use files such as MEPS HC-013: Panel 4, Round 1 1999
Population Characteristics by using the DUPERSID.
PHLDRIDX is the person identifier (DUID + PID) of the
policyholder of the private health insurance plan. Generally, the
characteristics of the policyholder can be linked from other person-level
public use files by using the PHLDRIDX to match the DUPERSID on the other
files. However, when the policyholder is deceased or resides outside the RU,
then there are no person-level variables on public use files (unless the
policyholder was alive and resided in the household at some point during the
time periods covered by the interviews).
ESTIBIDX is an ID number assigned to place of employment
and to sources of insurance.
EPRSIDX is a combination of ESTBIDX and PHLDRIDX. In a few cases,
more than one EPRSIDX may identify a policyholder-source of coverage pair,
because when an RU splits, for example, through divorce or because a child
goes to college, each new RU separately reports insurance information, and
hence MEPS cannot determine with certainty whether members in both RUs have
the same policy. Although both RUs may report coverage through the same
policyholder, the RUs will have different EPRSIDXs and ESTBIDXs. (The RU
letter is embedded in the ESTBIDX and EPRSIDX.) For each RU (EPRSIDX), there
is a PRPL record for the policyholder as a covered person, but for only one
of the EPRSIDX’s (the one in which the policyholder resides) is the
policyholder coded as having coverage in the STATUS or EVALCOVR variables.
JOBSIDX is a combination of the PHLDRIDX, a round
identifier (RN), and a job number (JOBSN), and it uniquely identifies the
policyholder's job at the
establishment that provided insurance (for employment-based coverage). The
round identifier imbedded in JOBSIDX is the round in which the job was last
reported, which is not necessarily the round in which the insurance was last
reported (for example, when the job ended but the insurance continued).
JOBSIDX can be used to link on characteristics of the policyholder's job providing
insurance from the Jobs public use file (HC-025).
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3.2 Person Variables
There are five person-level variables. Binary variables
indicate whether the person is the policy holder (PHOLDER) or a dependent (DEPNDNT)
on the coverage through the establishment. The variable PUF13FLG indicates
whether the person has a record on HC-013, and PUF38FLG indicates whether
the person has a record on HC-038.
R2FLAG indicates whether or not a person is a member of an RU in which
the Panel 3 Round 2 interview occurred in 1999. R2FLAG was assigned the
value +1 for persons in RUs where Round 2 of Panel 3 covered a portion of
calendar year 1999. Persons who are members of a Panel 3 RU that had its
Round 2 interview in 1998 will have R2FLAG set to -1. Persons who are part
of Panel 4 will also have R2FLAG set to -1. Typically, only Round 3 of a
MEPS panel covers two calendar years, so the R2FLAG was developed to
identify where data collection procedures were modified. Analysts studying
insurance characteristics at the first interview of the year may need to
modify their procedures to deal with this departure from the usual data
collection process. In the person-level file for 1999 (HC-038), MEPS
variables have been developed so that the process is transparent to the
user.
There are 25 person-round-level variables. EVALCOVR is a
binary variable indicating whether the person was covered by insurance from
the establishment at the time of interview (rounds 4, and 5 of Panel 3 and
rounds 1, and 2 of Panel 4) or on December 31 (round 3 of Panel 4 and round
5 of Panel 3). The variables STATUS1-STATUS24 indicate whether the
respondent reported the person was covered by insurance from the
establishment for at least one day during the month. For Panel 4,
STATUS1-STATUS12 represent coverage from January 1999 through December 1999,
and STATUS13-24 are inapplicable, because this information is in year 2000.
For Panel 3, STATUS13-STATUS24 represent coverage from January 1999 through
December 1999, and STATUS1-STATUS12 are inapplicable, because this
information is in the year 1998. Coverage is reported only for the interview
reference period. For example, if a person from Panel 4 was first
interviewed in February and reported she was covered in January and
February, and then in the second interview in August she reported she was
covered from March through August, then the PRPL record for the first round
will have STATUS1 and STATUS2 set to 1 and the rest set to inapplicable, and
the PRPL for the second round will have STATUS3 through STATUS8 set to 1 and
the rest set to inapplicable.
Return To Table Of Contents
3.3 Policyholder Variables
The values of three variables describing the policyholder do
not vary across the records of the persons covered by the plan, regardless of
whether the covered person is the policyholder. The variable DECPHLDR indicates
the policyholder is deceased. The variable OUTHLDR indicates the policyholder
resides outside the RU. In each case, there are no person-level records on a
person-level PUF, even though the PRPL file has a record for the policyholder as
a covered-person (that is, a record where PHOLDER=1). The variable NOPUFLG
indicates there is another reason the policyholder does not have a record on a
person-level PUF. The purpose of these flags is to explain any difficulty users
may have linking policyholder information onto the PRPL file. These variables do
not, however, measure mortality or policyholders=
leaving household, which should instead be obtained from the PSTATUS variables
on the person-level files. (For example, policyholders who die between rounds 1
(Panel 4) or 3 (Panel 3) and the end of 1999 will have records on HC-013 and
HC-038, and PUF13FLG and PUF38FLG will be set to 1.)
Return To Table Of Contents
3.4 Establishment Variables
The values of establishment-level variables do not vary
across the records of the persons insured through the policyholder-establishment
pair.
Return To Table Of Contents
3.4.1 Employers and Other Establishments
The type of establishment providing coverage (TYPEFLAG) is on
the record. For employment-based coverage through both an employer and a
union (such as insurance through a labor-management committee), information
about only one of the establishments, usually the employer, is on the record.
(These cases are identifiable through the PROVDINS variable on the JOBS file.)
Return To Table Of Contents
3.4.2 Types of Coverage
through the Establishment
3.4.2 Types of Coverage through the Establishment
The establishments in the PRPL file provide private health
insurance covering hospital/physician, Medicare supplemental insurance, dental,
vision, prescription medication, or long-term care insurance. The variable
PRIVCAT identifies the type of source for hospital and physician or Medicare
supplemental insurance. HOSPINSX and MSUPINSX are edited
establishment-policyholder flags for whether the policyholder has
physician/hospital and medigap coverage, respectively, through the
establishment. However, even when PRIVCAT indicates there is either
hospital/physician or medigap coverage, both HOSPINSX and MSUPINSX may have
missing values. Note also that both HOSPINSX and MSUPINSX may be coded "yes" on
the same record. DENTLINS,
VISIONIN, PMEDINS, and LTCINS flags indicate the establishment provides coverage
for dental care, vision care, prescription medications, and long-term care,
respectively. Below are examples of how to use these variables to identify types
of insurance:
| Identifying Types of Insurance |
Variable and Values |
| Hospital and physician or Medicare supplemental insurance |
PRIVCAT in (1,2,3,4,5,99) |
| Medicare supplemental insurance |
MSUPINSX = 1 |
| Hospital and physician insurance |
PRIVCAT in (1,2,3,4,5,99) & MSUPINSX ne 1 |
| Dental insurance |
DNTLINS = 1 |
The variable COBRA is a flag for whether the respondent
reported the coverage was obtained through the requirements of the Consolidated
Omnibus Budget Reconciliation Act (COBRA) of 1986. This act requires that
certain employers allow some former employees to continue their employment-based
coverage by paying the employer the premium (U.S. Department of Labor 1999).
This flag does not, however, indicate all the coverage through former employers,
which can be determined using TYPEFLAG and links to former jobs in the JOBS
file. COBRA is set to "yes"
if any of the three following conditions are met:
- The respondent said insurance from a previous job is the source
of coverage and the respondent answered yes to either HP14 or OE14 (depending
on when the job ended):
Some employer insurance can be continued after leaving
the company by continuing to pay the premium. This is sometimes referred to
as a COBRA plan.
Is (POLICYHOLDER)'s (ESTABLISHMENT) insurance like that?
Or
Did that health insurance continue through COBRA?
- The respondent said COBRA is the source of insurance through a
self-insured firm with firm-size one (HX03)
- The respondent said COBRA is the source of insurance not
elsewhere reported (HX23)
COBRA is set to "no" when the insurance was not COBRA
coverage. COBRA is set to inapplicable when the coverage was not
employment-based, and when the coverage was through a current job. COBRA is set
to "not ascertained"
for retirement jobs first reported in the employment section in round 1 (EM80),
retirement jobs first reported in the employment section for new RU members
(EM80), and insurance through unions reported in the insurance section (HX23)2.
In a few cases, self-employed persons with firm size = 1 reported buying
coverage through a previous job, and these cases are coded as yes or no, while
other insurance through self-employment with firm size = 1 is coded "inapplicable
".
The variable COVTYPIN flags whether coverage was single or
family, based on the number of persons covered in the RU, whether the
establishment's insurance covers
someone outside the household, and whether the policyholder is outside the
household. For Panel 4 rounds 1 and 2, and Panel 3 rounds 2, 3 and 4, the number
of covered persons was measured at the time of the interview (or end of the
reference period). For Panel 4 round 3 and Panel 3 round 5 the number is as of
December 31st.
2 In these three cases, the
survey was not designed to ascertain whether the coverage was COBRA or not, but
the variable is coded as "not ascertained" to help analysts.
Return To Table Of Contents
3.4.3 Out-of-Pocket Premiums
The variable OOPPREM is the edited monthly out-of-pocket
premium paid by the policyholder for coverage through the establishment for
Panel 4 as of round 1 (out-of-pocket premiums for Panel 3 round 1 appear on the
1998 PRPL file), when the establishment was not a current employer or union,
coverage was through a self-employed job with firm size 1, or COBRA coverage.
OOPELIG flags these covered-person-policyholder-establishment triples. OOPPREM
was created using the out-of-pocket amount reported and the frequency of
payments (HX61, HX62, and HX620V1):
For the coverage through (ESTABLISHMENT), does anyone in
the family pay all of the premium or cost, some of the premium or cost, or none of the
premium or cost?
[Do not include the cost of any co-payments, coinsurance
or deductibles anyone in the family may have had to pay.]
How much {(do/does)/did} (POLICYHOLDER) pay for the
(ESTABLISHMENT) coverage?
PROBE: {Is/Was} that per year, per month, per week, or what?
OOPPREM is coded as zero for those who reported paying none
of their premium, which often happened with out-of-household coverage. OOPPREM
is coded "inapplicable"
when the establishment was a current employer or union, coverage was not through
a self-employed job with firm size 1, and not COBRA coverage. Premiums were
reported only in round 1 for any given Panel, and in all other rounds OOPPREM is
coded "inapplicable".
Because information about out-of-pocket premiums was collected only in Panel 4,
nationally representative estimates of premiums for this population in 1999
cannot be made using the weights (nor, of course, without the weights).
PREMLEVX shows whether OOPPREM was the full premium or part
of it. When the respondent reported they paid some or none of the premium, the
variables BYFED BYSTATE BYLOCAL BYSOMGOV BYEMPL BYUNION BYOTHER indicate who
paid the rest of the premium.
For all nine variables (PREMLEVX OOPPREM BYFED BYSTATE
BYLOCAL BYSOMGOV BYEMPL BYUNION BYOTHER), the same values are reported on the
records of each person covered through the establishment, but the policyholder
paid only once per establishment-policyholder.
Users should note that a few respondents reported zero, very
low, or very high premiums, and some respondents said they paid all or some of
their premium but reported an amount of zero. There was no attempt to resolve
these inconsistencies, because it is not clear what could be done.
Return To Table Of Contents
3.5 Plan Variables
The values of plan-level variables do not vary across the
records of the persons insured through the policyholder-establishment pair. The
PRPL file contains managed care and satisfaction variables for
hospital/physician and Medicare supplemental plans. For all other plans, these
variables are set to "inapplicable".
Return To Table Of Contents
3.5.1 Household Reports of Managed Care
The variable UPRHMO identifies records for HMO coverage when
the household respondent reported that the insurance was purchased through an
HMO, reported the insurance company was an HMO, or described the plan as an HMO.
In all cases the respondent answered a question using the term "HMO". UPRHMO is
set to "yes" if any of the three following conditions are met:
- If the respondent reported purchasing the insurance directly
through an HMO (HX03, HX23)
- If the respondent identified the type of insurance company as
an HMO (HX49, HX51, HX54)
- If the respondent answered yes to the following question
(MC01):
Now I will ask you a few questions about how (POLICYHOLDER)'s
health 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?
UPRHMO is set to "no" when the plan was not an HMO.
UPRHMO is set to inapplicable when the plan was not hospital/physician or
Medicare supplemental coverage.
The variable UPRMNC identifies records for gatekeeper plans.
The household respondent has not identified the plan as an HMO but has
identified a characteristic of the plan that requires plan members to sign up
with a gatekeeper for all routine care (the exact question is given below). In
1998, this gatekeeper feature was associated with HMO plans and with some
Preferred Provider Organization (PPO) plans. Users of the data can decide how to
classify these persons. UPRMNC is set to "yes" if the following condition is
met:
If the respondent answered "no" to the HMO question
(MC01) and "yes" to the following question (MC02):
(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.
UPRMNC is set to "no" when the plan does not require a
gatekeeper and when the plan is an HMO. UPRMNC is set to "inapplicable" when
the plan is not hospital/physician or Medicare supplemental coverage.
For plans other than HMOs and those with gatekeepers, the
variable DRLIST identifies records for plans that the household respondent said
had a book or list of doctors. The household respondent has not identified the
plan as a PPO but has identified a plan characteristic associated with PPO
plans. The respondent was asked MC03:
Is there a book or list of doctors associated with the plan?
If both the following conditions were met:
- If the person did not say the plan is an HMO (HX03, HX23,
HX49, HX51, HX54, MC01)
- If the respondent answered "no" to the gatekeeper
question (MC02)
DRLIST is set to "inapplicable" when the plan is not
hospital/physician or Medicare supplemental coverage, when the plan is an HMO,
or when the plan requires a gatekeeper.
With gatekeepers and lists of doctors, the variable VISTPAYX
identifies records for plans that the household respondent said paid for
out-of-network visits. The household respondent has not identified the plan as a
PPO or a Point of Service (POS) plan but has identified a plan characteristic
associated with PPO and POS plans. VISTPAYX has the responses to MC04:
Will (POLICYHOLDER)'s plan pay for any of the costs of visits to
doctors who are not associated with (POLICYHOLDER)'s plan, even if
(POLICYHOLDER) (do/does) not have a referral?
When both the following conditions are met:
- If the person did not say the plan is an HMO (HX03, HX23,
HX49, HX51, HX54, MC01)
If the respondent answered "yes" to the gatekeeper
question (MC02) or answered "yes" to the list of doctors question (MC03)
VISTPAYX is set to "inapplicable" when the plan is not
hospital/physician or Medicare supplemental coverage, when the plan is an HMO,
or when the plan does not require a gatekeeper and does not have a list of
doctors.
An additional managed care question (MC05) was asked to
differentiate between HMOs and POS plans, but due to an error in the skip logic
of the questionnaire, the data were not collected for all relevant plans, and
this variable will not be publicly released.
Return To Table Of Contents
3.5.2 Family Satisfaction with Plan
Satisfaction with Plan questions were asked at rounds 2
(Panel 4) and 4 (Panel 3) for families where at least one member was covered by
the plan at the time of the interview. The variable SATELIG indicates whether
the policyholder-establishment was eligible for the Satisfaction with Plan
questions. Respondents were eligible for the Satisfaction with Plan questions if
someone in the RU was covered by the plan on the date of the interview and the
insurance was hospital/physician or Medicare supplemental coverage.
The Satisfaction with Plan variables are APPT, CHANPROV,
COSTQUAL, CUSTSRV, DIFFREF, PAIDLESS, PLANREF, PLANSAT, RECPLAN, SATAMT,
SATCHOIC, SATCOVH, SATCOVMH, SATCOVP, SATCOVPM, SATCS, SATPAPER.
When multiple RU members were covered by the same private
plan, the respondent answered the questions once and described satisfaction for
the policyholder and family members. These family-level responses are on each
round 2 or 4 covered person-policyholder-establishment record for the
policyholder-establishment and do not vary across covered persons.
Return To Table Of Contents
3.5.3 Change in Plan Name
The variable NAMECHNG indicates whether the name of the plan
obtained through the establishment changed from the prior round. For Panel 4 rounds 2 and
3 and Panel 3 rounds 2, 3, 4 and 5, NAMECHNG is set to "yes" if someone in the
RU had coverage through the establishment in the prior round and still had coverage at
the time of the interview, and the respondent answered yes to the following question
(OE09, OE23, OE35):
Since (START DATE), has there been any change in the plan name of
the health insurance (POLICYHOLDER) has through (ESTABLISHMENT)?
If the respondent answered no, then NAMECHNG is coded no. If
no one in the RU had coverage through the establishment in the prior round, no
one had coverage at the time of the interview, or it is a round 1 record, then
NAMECHNG is set to "inapplicable".
When the respondent answered yes, then MEPS HC asked about
types of benefits and managed care, which are updated on the PRPL file.
There are two important caveats to this variable. First,
changes in plan name do not necessarily imply the plan itself changed. For
example, the plan may have merely changed its name for marketing purposes.
Second, the variable NAMECHNG pertains only to changes in plan names at the same
establishment; a policyholder may switch plans if she or he switches the
establishment (including employer) through which he or she obtains insurance.
Switches in EPRSIDs and ESTBIDs between rounds indicate those other types of
changes.
Return To Table Of Contents
3.6 Links to Job Providing Insurance
For employment-based insurance, there are two variables
linking the insurance to details about the jobs through which the insurance was
obtained, CMJINS and JOBSIDX.
Most people with employment-based insurance have it through
current main jobs. The variable CMJINS indicates whether the insurance is
through a current main job. When the insurance is not employment-based, then
CMJINS is set to "inapplicable".
Generally, many edited and imputed variables describing policyholders’=
current main jobs are available on HC-013 and HC-038. If CMJINS =1 and the
policyholder has a PUF record (PUF13FLG or PUF38FLG), then edited and imputed
current main jobs variables are available on the indicated PUF.
For other types of jobs (for example, former jobs), the JOBS
files (HC-032 and HC-025) contain edited variables describing the job. JOBSFILE
indicates which jobs file contains information about the source of coverage. In
most cases, information about the job is in HC-032, but for Panel 3, if the job
ended before 1999, information about the job is contained in HC-025. JOBSIDX is
the link to the record for the job in the JOBS file that is the source of
coverage. This link is slightly complicated, because the variable JOBSINFR
indicates links that were inferred, rather than obtained directly from the
respondent. Links were inferred because when persons reported employment-based
health insurance at the end of the insurance section (HX23), the plan is not
always easily linked to a specific job. Most of these cases were directly linked
by establishment IDs, but others required inferences based on whether the
insurance was through a current or former job (EMPLSTAT), and some could not be
linked at all.
The variable EMPLSTAT contains the answers to question HP12, which
is asked only about the policyholders of employment-related insurance first mentioned at
the end of the insurance section of the interview (HX23), and it is asked only
in the interview round where the insurance was first reported. Thus, it is
useful only for the cases where links to jobs could not be inferred. Because it
does not contain updated information about the policyholder’s employment at
each interview, the value is set to -2 in subsequent rounds, and users can link
back to the PRPL record from the prior rounds, using the DUPERSID and EPRSIDX,
to get the original information.
Return To Table Of Contents
References
U.S. Department of Labor. Pension and Welfare Benefits
Administration. 1999. Health Benefits under the Consolidated Omnibus Budget
Reconciliation Act (COBRA). Washington, DC. [Available on-line at: http://www.dol.gov/ebsa/pdf/cobra99.pdf]
Return To Table Of Contents
D. Variable Source Crosswalk
VARIABLE TO SOURCE CROSSWALK
FOR MEPS PUBLIC USE FILE HC-047: 1999 FILE
HEALTH INSURANCE VARIABLES - SOURCE
Variable |
Label |
Source |
PHOLDER |
POLICY HOLDER |
HP 9, 11 |
DEPENDNT |
DEPENDENT OF POLICY HOLDER |
PRIVCAT, PHOLDER |
R2FLAG |
FLAG:PERSON IS IN P3R2 RU WITH INTV IN 1999 |
Constructed |
CMJINS |
CMJ AS THE SOURCE OF PLAN: 1 YES, 2 NO |
PRIVCAT, RJ01A, RJ0189A, EM08, EM14 |
EVALCOVR |
COVERED @ INTERVIEW OR 12/31 |
HQ1, 2 |
STATUS1 – STATUS24 |
STATUS -MONTH 1 through
STATUS -MONTH 24 |
HQ1, 2, 3, 4, 5 |
TYPEFLAG |
TYPE OF ESTABLISHMENT |
HX 3, 23; EM 6, 8, 12, 14, 19, 22, 23, 28, 31, 32, 41, 44, 45, 54, 57,
58, 71, 74, 75, 83, 86, 87, 118, 120 |
PRIVCAT |
CATEGORY OF PRIVATE COVERAGE |
HX 2, 3, 23, 48, 61, 63; HP 1, 2, 9, 11, 15, 16; EM 17, 18, 26, 27, 39,
40, 52, 53, 69, 70, 81, 82, 91, 92, 117 |
HOSPINSX |
TYPE OF HI GOTTEN: HOSPITAL/HMO (EDITED) |
HX48 |
MSUPINSX |
TYPE OF HI GOTTEN: MEDIGAP (EDITED) |
HX48 |
DENTLINS |
TYPE OF HI GOTTEN: DENTAL |
HX48 |
VISIONIN |
TYPE OF HI GOTTEN: VISION |
HX48 |
LTCINS |
TYPE OF HI GOTTEN: LTC-NURSING HOME |
HX48 |
PMEDINS |
TYPE OF HI GOTTEN: PRESCRIPTION DRUG |
HX48 |
COBRA |
COBRA COVERAGE: 1=YES, 2=NO |
HX 3, 23; HP12, 14 ; OE14; EM 8, 9, 14, 15, 22, 23, 24, 31, 32, 33, 44,
46, 57, 58, 74, 75, 76, 80, 85A, 86, 87, 88; RJ 1A, 189A; PRIVCAT |
COVTYPIN |
COVERAGE @INTVW: 1=SINGLE, 2=FAMILY |
HP 15, 16, 17 |
OOPELIG |
FLAG: POLICYHOLDER ESTB HAS PREMIUM |
RN; TYPEFLAG; HX 3, 23; HP14 |
OOPPREM |
MONTHLY OUT-OF-POCKET PREMIUM, R1 (ED) |
HX 61, 62 |
PREMLEVX |
HOW MUCH OF PREMIUM PAID BY FAM (ED) |
HX 61, 62 |
BYFED |
FEDERAL GOVT PAID FOR PRIV PLAN PREMIUM |
HX63 |
BYSTATE |
STATE GOVT PAID FOR PRIV PLAN PREMIUM |
HX63 |
BYLOCAL |
LOCAL GOVT PAID FOR PRIV PLAN PREMIUM |
HX63 |
BYSOMGOV |
SOME GOVT PAID FOR PRIV PLAN PREMIUM |
HX63 |
BYEMPL |
EMPLOYER PAID FOR PRIV PLAN PREMIUM |
HX63 |
BYUNION |
UNION PAID FOR PRIV PLAN PREMIUM |
HX63 |
BYOTHER |
OTHER PAID FOR PRIV PLAN PREMIUM |
HX63 |
UPRHMO |
HMO COVERAGE (FROM PRPL) |
HX 3, 23, 49_02.TYPE, 50_02.TYPE, 54_02.TYPE; MC 1 |
UPRMNC |
PLAN REQRD COVRD PERS USE GATEKEEPER |
MC 2 |
DRLIST |
DOES PLAN HAVE A BOOK/LIST OF DOCTORS? |
MC 3 |
VISITPYX |
PLAN PAY FOR NON-HMO, NON-REFER DR VISIT (ED) |
MC 4 |
NAMECHNG |
HAS THERE BEEN A CHANGE IN PLAN NAME |
OE 9, 23, 35 |
SATELIG |
ELIG. FOR SATIS. PLAN QUEST: 1=YES, 2=NO |
PRIVCAT, RN, EVALCOVR |
APPT |
HOW DIFFICULT TO GET SPECIALIST APPT? |
SP 7 |
CHANPROV |
DID HAVE TO CHANGE PRIMARY CARE PROVIDER |
SP 5 |
COSTQUAL |
IMPORTANCE COST/QUALITY IN CHOOSING PLAN |
SP 15 |
CUSTSRV |
HAS CALLED CUSTOMER SERVICE/ADMIN OFFICE |
SP 11 |
DIFFREF |
HOW DIFFICULT TO GET SPECIALIST REFERRAL |
SP 6 |
PAIDLESS |
HAS PLAN PAID LESS THAN EXPECTED? |
SP 10 |
PLANREF |
PLAN REFUSED TO PAY FOR OR APPROVE CARE |
SP 9 |
PLANSAT |
SATISFACTION WITH INSURANCE PLAN |
SP 2 |
RECPLAN |
LIKELY TO RECOMMEND PLAN? |
SP 3 |
SATAMT |
SATISFIED WITH AMOUNT PAID |
SP 14 |
SATCHOIC |
HOW SATISFIED WITH CHOICE OF PROVIDER |
SP 4 |
SATCOVH |
HOW SATISFIED WITH HOSPITALIZATION? |
SP 8_02 |
SATCOVMH |
HOW SATISFIED WITH MENTAL HEALTH SERVICE |
SP 8_04 |
SATCOVP |
HOW SATISFIED W/ PREVENTIVE HEALTH CARE? |
SP 8_01 |
SATCOVPM |
HOW SATISFIED WITH PRESCRIPTION MEDS? |
SP 8_03 |
SATCS |
HAS CALLED CUSTOMER SERVICE/ADMIN OFFICE |
SP 12 |
SATPAPER |
SATISFIED W/ AMOUNT/DIFFICULTY PAPERWORK |
SP 13 |
EMPLSTAT |
POLICYHOLDER EMPLOYMENT STATUS |
HP 12 |
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