A Proposed Method for Monitoring U.S. Population Health: Linking Symptoms, Impairments, and Health Ratings
AbstractWe propose a method of quantifying non-fatal health on a 0-1 QALY scale that details the impact of specific symptoms and impairments and is not based on ratings of counterfactual scenarios. Measures of general health status are regressed on health impairments and symptoms in different domains, using ordered probit and ordinary least squares regression. This yields estimates of their effects analogous to disutility weights, and accounts for complex non-additive relationships. Health measures used include self-rated health status on a 5-point scale, EuroQol 5D (EQ-5D) scores, and ratings of current health using a 0-100 rating scale and a time-tradeoff. Data are from the nationally representative Medical Expenditure Panel Survey (MEPS) year 2002 (N=34,615), with validation in an independent sample from MEPS 2000 (N=21,067) and among 1420 adults age 45-89 in the Beaver Dam Health Outcomes Study. Decrement weights for symptoms and impairments are used to derive estimates of overall health-related quality of life, laying the groundwork for a detailed national summary measure of health. To purchase a copy of the earlier version of this paper, please contact the Working Papers department directly at (617) 588 1405.
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Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 11358.
Date of creation: May 2005
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Find related papers by JEL classification:
- I10 - Health, Education, and Welfare - - Health - - - General
- I12 - Health, Education, and Welfare - - Health - - - Health Production
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-05-23 (All new papers)
- NEP-DCM-2005-05-23 (Discrete Choice Models)
- NEP-HEA-2005-05-23 (Health Economics)
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- Fýlkesnes, Knut & Førde, Olav Helge, 1992. "Determinants and dimensions involved in self-evaluation of health," Social Science & Medicine, Elsevier, vol. 35(3), pages 271-279, August.
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- Erik Meijer & Arie Kapteyn & Tatiana Andreyeva, 2008.
"Health Indexes and Retirement Modeling in International Comparisons,"
614, RAND Corporation Publications Department.
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