Medical Expenditure Panel Survey

Medical Expenditure Panel Survey
Name	Medical Expenditure Panel Survey
Country	United States
Administered by	Agency for Healthcare Research and Quality
Began	1996
Frequency	Continuous/annual
Sample size	~15,000 households annually

Medical Expenditure Panel Survey

The Medical Expenditure Panel Survey (MEPS) is a national household survey providing detailed information on health care use, expenditures, insurance coverage, and access for the civilian noninstitutionalized population of the United States. It supports research across public policy, health services, health economics, and epidemiology by linking person-level interview data with provider and employer components. Major users include federal agencies, academic institutions, think tanks, policy makers, and private research firms.

Overview

MEPS collects longitudinal data on health care utilization and costs, insurance status, and health care access for individuals and families, with supplemental provider and employer panels supplementing household interviews. The survey is overseen by the Agency for Healthcare Research and Quality and implemented in coordination with the National Center for Health Statistics and field contractors. Data products support analyses by researchers at institutions such as Harvard University, University of Michigan, Johns Hopkins University, Columbia University, Yale University, Stanford University, University of California, Berkeley, and organizations like the Kaiser Family Foundation, Brookings Institution, Urban Institute, and RAND Corporation.

History and Development

MEPS originated in the mid-1990s as a successor to the National Medical Expenditure Survey and was established under the auspices of federal health policy initiatives tied to Congressional authorizations and executive administration priorities. Key legislative and administrative contexts included interactions with the Health Care Financing Administration era reforms, the evolving roles of the Department of Health and Human Services and the Office of Management and Budget, and scholarly work from centers such as the Institute of Medicine and the National Academy of Medicine. Prominent researchers and administrators affiliated with MEPS development include scholars at the University of Minnesota, University of Pennsylvania, and Dartmouth College, and policy analysts from the U.S. Congress staff and the Centers for Medicare & Medicaid Services. Over time, MEPS methods and content have adapted following methodological reviews by panels convened by the National Research Council and technical collaborations with the Census Bureau.

Methodology

MEPS uses a complex multistage probability sample with stratification, clustering, and weights to produce nationally representative estimates for the civilian noninstitutionalized population. The household component employs computer-assisted personal interviewing across multiple rounds to create overlapping panels; sample design components mirror best practices discussed by experts at Princeton University, Massachusetts Institute of Technology, and Carnegie Mellon University. MEPS supplements household reports with an employer survey and a medical provider component to validate expenditures and diagnoses, engaging vendor partners and health systems like Kaiser Permanente and large national insurers. Sample weighting and variance estimation incorporate techniques promoted by methodologists at University of Michigan Survey Research Center, University of Chicago, and London School of Economics-affiliated demographers. Confidentiality protections meet standards consistent with National Institutes of Health data sharing policies and institutional review board guidance.

Data Content and Measures

MEPS captures person-level demographics, health status, chronic conditions, disability measures, medical events (office visits, hospitalizations, emergency visits), prescribed medicines, preventive services, procedures, and associated payments by source (private insurers, Medicare, Medicaid, out-of-pocket). Coding systems and classifications align with standards from International Classification of Diseases, collaboration with the Centers for Disease Control and Prevention, and linkage protocols used by researchers at Georgetown University and University of California, Los Angeles. Employer-reported data include employer-sponsored insurance offerings, premiums, and contributions, drawing analytic interest from academics at New York University and policy analysts at American Enterprise Institute and Heritage Foundation. MEPS public-use files and restricted data facilitate analyses by investigators at Princeton University, Drexel University, and international organizations like the World Health Organization.

Uses and Impact

MEPS data inform federal and state policy decisions regarding health insurance coverage, cost trends, and access to care, underpinning analyses by Congressional Budget Office, Office of Management and Budget, and program evaluations for Centers for Medicare & Medicaid Services initiatives. Academic studies using MEPS have appeared in journals associated with Harvard Medical School, Columbia University Mailman School of Public Health, and London School of Hygiene & Tropical Medicine, influencing debates on prescription drug policy, insurance market reforms, and health disparities research by scholars at Brown University, University of North Carolina at Chapel Hill, and University of Washington. Health services research centers such as the Agency for Healthcare Research and Quality Evidence-based Practice Centers, the Mayo Clinic research programs, and policy units at Johns Hopkins Bloomberg School of Public Health rely on MEPS for program evaluation and simulation modeling.

Limitations and Criticisms

Critiques of MEPS focus on sample coverage limits, measurement error from self-reported data, underreporting of expenditures, and challenges linking to administrative records; methodological discussions involve experts at RAND Corporation, University of Pennsylvania Wharton School, and Cornell University. Comparisons with administrative sources such as Medicare claims and private insurer datasets uncover differences that fuel methodological research at Yale School of Public Health and University of Minnesota School of Public Health. Concerns about timeliness, respondent burden, and the complexity of variance estimation have prompted recommendations from panels of the National Academy of Sciences and technical advisors from Cambridge University and Imperial College London. Ongoing debates involve trade-offs highlighted by policy analysts at Brookings Institution and Urban Institute regarding scope expansion, data linkage, and privacy protections enforced by Department of Health and Human Services frameworks.

Category:Health surveys