| Regression analysis on the variation in efficiency frontiers for prevention stage of HIV/AIDS. | |
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MedLine Citation:
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PMID: 21332273 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Abstract Objectives: To investigate how the cost effectiveness of preventing HIV/AIDS varies across possible efficiency frontiers (EFs) by taking into account potentially relevant external factors, such as prevention stage, and how the EFs can be characterized using regression analysis given uncertainty of the QALY-cost estimates. Methods: We reviewed cost-effectiveness estimates for the prevention and treatment of HIV/AIDS published from 2002-2007 and catalogued in the Tufts Medical Center Cost-Effectiveness Analysis (CEA) Registry. We constructed efficiency frontier (EF) curves by plotting QALYs against costs, using methods used by the Institute for Quality and Efficiency in Health Care (IQWiG) in Germany. We stratified the QALY-cost ratios by prevention stage, country of study, and payer perspective, and estimated EF equations using log and square-root models. Results: A total of 53 QALY-cost ratios were identified for HIV/AIDS in the Tufts CEA Registry. Plotted ratios stratified by prevention stage were visually grouped into a cluster consisting of primary/secondary prevention measures and a cluster consisting of tertiary measures. Correlation coefficients for each cluster were statistically significant. For each cluster, we derived two EF equations - one based on the log model, and one based on the square-root model. Discussion: Our findings indicate that stratification of HIV/AIDS interventions by prevention stage can yield distinct EFs, and that the correlation and regression analyses are useful for parametrically characterizing EF equations. Our study has certain limitations, such as the small number of included articles and the potential for study populations to be non-representative of countries of interest. Nonetheless, our approach could help develop a deeper appreciation of cost effectiveness beyond the deterministic approach developed by IQWiG. |
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Authors:
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Maki S Kamae; Isao Kamae; Joshua T Cohen; Peter J Neumann |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-2-18 |
Journal Detail:
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Title: Journal of medical economics Volume: - ISSN: 1941-837X ISO Abbreviation: - Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-2-21 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9892255 Medline TA: J Med Econ Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Division of Medical Statistics, Graduate School of Medicine, Kobe University, Japan; Center for the Evaluation of Value and Risk in Health, Tufts Medical Center, USA. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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