Evaluating Quality-Adjusted Life Years

Michael Nichol, Nishan Sengupta and Denise R. Globe
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Nishan Sengupta: Pharmaceutical Economics and Policy, University of Southern California, Los Angeles
Denise R. Globe: Pharmaceutical Economics and Policy, University of Southern California, Los Angeles

Medical Decision Making, 2001, vol. 21, issue 2, 105-112

Abstract: Quality-adjusted life years (QALYs) are well recognized as a valid measure for outcomes in cost-effectiveness analyses. A summary health utility score is necessary to evaluate QALYs. The objective of this study was to predict a summary utility score (represented by the Health Utility Index [HUI2]) from scores on the SF-36. Methods . A structural equation framework was applied to longitudinal data collected from 1992 to 1995 on a sample of patients insured by Southern California Kaiser Permanente (N= 6921). An ordinary least squares (OLS) method was used to estimate the HUI2. Results . The OLS model on cross-sectional data predicted 50.5% of the observed variance in HUI2 scores. Parameter estimates of all SF-36 components showed statistical significance at the P

Keywords: Health Utility Index; SF-36; quality-adjusted life years; health utilities (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:21:y:2001:i:2:p:105-112

DOI: 10.1177/0272989X0102100203

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