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Health Economics
Article
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Health Economics
Article . 2001 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Health Economics
Article . 2001
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The death of cost‐minimization analysis?

Authors: Briggs, A.H.; O'Brien, B.J.;

The death of cost‐minimization analysis?

Abstract

AbstractFour different types of evaluation methods, cost‐benefit analysis (CBA), cost‐utility analysis (CUA), cost‐effectiveness analysis (CEA) and cost‐minimization analysis (CMA), are usually distinguished. In this note, we pronounce the (near) death of CMA by showing the rare circumstances under which CMA is an appropriate method of analysis. We argue that it is inappropriate for separate and sequential hypothesis tests on differences in effects and costs to determine whether incremental cost‐effectiveness (or cost‐utility) should be estimated. We further argue that the analytic focus should be on the estimation of the joint density of cost and effect differences, the quantification of uncertainty surrounding the incremental cost‐effectiveness ratio and the presentation of such data as cost‐effectiveness acceptability curves. Two examples from recently published CEA are employed to illustrate the issues. The first shows a situation where analysts might be tempted (inappropriately) to employ CMA rather than CEA. The second illustrates one of the rare circumstances in which CMA may be justified as a legitimate form of analysis. Copyright © 2001 John Wiley & Sons, Ltd.

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Keywords

Venous Thrombosis, Cost-Benefit Analysis, Anticoagulants, R1, HG, United States, Defibrillators, Implantable, Humans, Health Services Research, Health Expenditures, RA

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
392
Top 1%
Top 1%
Top 1%
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bronze