Comparison of Health State Utilities Using Community and Patient Preference Weights Derived from a Survey of Patients with HIV/AIDS

Bruce R. Schackman, Sue J. Goldie, Kenneth A. Freedberg, Elena Losina, John Brazier and Milton C. Weinstein
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Bruce R. Schackman: Center for Risk Analysis, Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts
Sue J. Goldie: Center for Risk Analysis, Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts
Kenneth A. Freedberg: Center for Risk Analysis, Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, Division of General Medicine and the Partners AIDS Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, Department of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, Massachusetts
Elena Losina: Department of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, Massachusetts
John Brazier: Center for Risk Analysis, Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, Sheffield Health Economics Group, School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom
Milton C. Weinstein: Center for Risk Analysis, Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts

Medical Decision Making, 2002, vol. 22, issue 1, 27-38

Abstract: Objectives . The authors compare health state utilities derived from a national survey of patients with HIV/AIDS to represent community-based preferences with utilities derived from the same survey representing patient preferences; explore the relationships between these utilities and the dimensions of the SF-6D health state classification; and examine the implications of differences in the source of utilities for a cost-effectiveness analysis of early treatment of patients with HIV/AIDS. Methods . The authors derived community-based standard gamble (SG) utilities using an algorithm developed for the SF-6D health state classification system. The authors derived patient SG utilities from HIV/AIDS patient rating scale self-assessments using a power transformation. Data were from the HIV Cost and Services Utilization Study, a probability sample of 2864 HIV-infected adults receiving care in the United States in 1996. Results . Patient SG utilities were higher than community SG utilities by 4% to 9% (0.979 vs.0.937, 0.910 vs. 0.841, and 0.845 vs. 0.778; P

Keywords: HIV; AIDS; utilities; preference weights; cost-effectiveness (search for similar items in EconPapers)
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:22:y:2002:i:1:p:27-38

DOI: 10.1177/0272989X0202200103

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