Name File Type Size Last Modified
  Code 11/11/2021 03:23:PM
  Data 11/11/2021 03:20:PM
  Data-Dictionaries 11/11/2021 03:19:PM
README.txt text/plain 2.7 KB 11/11/2021 10:24:AM

Project Citation: 

Bynum, Julie. Medical Expenditure Panel Survey (MEPS) for Dementia Researchers, 2015-2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-11-30.

Project Description

Summary:  View help for Summary This series of code and corresponding data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include five datasets derived from the 2015-2019 Medical Expenditure Panel Survey (MEPS). MEPS provides users with detailed information on the cost and use of health care and health insurance coverage in the U.S., surveying families and individuals, their medical providers, and employers.  

The provided datasets include sociodemographic information on respondents’ census region, age, sex, marital status, race, and education level, cognition questions, and health care expenditures and use from the Household Component Full-Year Consolidated Data File. These data were merged onto the Medical Components File identifying respondents with ADRD or other cognitive impairments using truncated ICD-9/ICD-10 codes. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. SAS, Stata, and CSV file formats are provided as are the full coding scripts used in both SAS and Stata.
Funding Sources:  View help for Funding Sources United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (AG066582)

Scope of Project

Subject Terms:  View help for Subject Terms aging; cognition; cognitive impairment; Dementia; Alzheimers disease; ADRD; cognitive functioning; memory; CAPRA
Geographic Coverage:  View help for Geographic Coverage U.S.A.
Time Period(s):  View help for Time Period(s) 2015 – 2019
Universe:  View help for Universe Sample of families and individuals in selected communities across the U.S., drawn from a nationally representative subsample of households that participated in the prior year’s National Health Interview Survey (NHIS). NHIS samples from noninstitutionalized U.S. Adults and families.
IMPORTANT NOTE: NHIS does not sample from persons in long-term care institutions (e.g., nursing homes)
Data Type(s):  View help for Data Type(s) program source code; survey data
Collection Notes:  View help for Collection Notes Users of this resource should be familiar with complex survey design and appropriately apply the sample weights, strata, and primary sampling units for any analyses. perwtf should be used for person-level analyses; famwtf should be used for family-level analyses. Cognition related questions were only asked of adults 18-years and older. Missingness in the claims variables (e.g., adrdci) indicates that a person was not represented in the medical components file.

MEPS uses a panel design where respondents answer 5 series of questions across two calendar years. If users wish to combine multiple years of data, they should be aware that some respondents may appear more than once.  

The list of truncated ICD-9 and ICD-10 codes are below.
  • ICD-9 (2015 only): 290, 294, 331, 797
  • ICD-10: F01, F02, F03, F04, G30, G31, R41


Response Rate:  View help for Response Rate See MEPS website
Sampling:  View help for Sampling Complex survey data with a stratified, clustered sampling design
Data Source:  View help for Data Source Medical Expenditure Panel Survey (MEPS) from the Agency for Healthcare Research and Quality (AHRQ)
Collection Mode(s):  View help for Collection Mode(s) computer-assisted personal interview (CAPI); other
Weights:  View help for Weights perwtf should be used for person-level analyses; famwtf should be used for family-level analyses.
Unit(s) of Observation:  View help for Unit(s) of Observation Person
Geographic Unit:  View help for Geographic Unit U.S. Census Region

Related Publications

Published Versions

Export Metadata

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.