A Guide to Comparing Health Care Expenditures in the 1996 Meps to the 1987 NMES
Bibliographic Data
| ID | 13775752 |
|---|---|
| Authors | Samuel H Zuvekas (Agency for Healthcare Research and Quality, corresponding author), Joel W Cohen |
| Year | 2002 |
| Volume | 39 |
| Issue | 1 |
| Pages | 76-86 |
| Publication date | 2002-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | INQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL) |
| Journal identifiers | ISSN: 0046-9580 • E-ISSN: 1945-7243 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.5034/inquiryjrnl_39.1.76 |
| PMID | 12067078 |
| OpenAlex | W2063518055 |
| Language | EN |
| Citations received | 5 |
| References cited | 2 |
Substantial changes in the organization, delivery, and financing of health care over the last decade, combined with data collection and methodological improvements in the 1996 Medical Expenditure Panel Survey (MEPS), pose special challenges in comparing expenditure estimates in MEPS with those in the 1987 National Medical Expenditure Survey (NMES). The 1987 NMES used charges as its fundamental expenditure concept, whereas the 1996 MEPS used actual payments as its expenditure measure. In spite of these differences, researchers and policymakers will want to be able to analyze trends in health care expenditures using these two surveys. We discuss these issues in detail and present a simple, straightforward adjustment method that can be applied to the 1987 NMES public use expenditure data to improve comparability to the MEPS. We base this adjustment method on an analysis of provider-reported payment data collected in NMES. We present several examples of the application of this method that illustrate the importance of the adjustments for analyses of trends in health care spending
Actuarial science · Business · Comparability · Data collection · Economic growth · Economics · Health care · Health insurance · Medical Expenditure Panel Survey · Payment · Public economics · Public expenditure · Public finance · Statistics · Finance · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management
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| Citations per year | 0.22 |
|---|---|
| Citation span | 2003 - 2021 (19) |
| Highly cited | No |