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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

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Published on: September 19, 2012

A proposal to solve the comparability problem in cost-utility analysis.

Han Bleichrodt1, Carmen Herrero, José Luís Pinto

  • 1iMTA/iBMG, Erasmus University, Rotterdam, The Netherlands. bleichrodt@bmg.eur.nl

Journal of Health Economics
|May 23, 2002
PubMed
Summary
This summary is machine-generated.

Health state valuations are not directly comparable across individuals, challenging cost-utility analysis. This study analyzes this comparability issue and proposes a novel solution for more accurate health economic evaluations.

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Area of Science:

  • Health economics
  • Decision analysis
  • Psychometrics

Background:

  • Cost-utility analysis (CUA) assumes direct comparability of health state valuations across individuals.
  • However, health state valuations may be subjective, influenced by personal expectations and abilities.
  • This relativity challenges the fundamental assumptions and applicability of CUA.

Purpose of the Study:

  • To analyze the problem of non-comparability in health state valuations within CUA.
  • To propose a novel methodological approach to address this comparability issue.
  • To enhance the validity and applicability of cost-utility analysis in diverse populations.

Main Methods:

  • The study critically examines the theoretical underpinnings of health state valuation.
  • It analyzes the sources of relativity in individual health perceptions.
  • A new method is proposed to adjust for individual differences in valuation.

Main Results:

  • Demonstrated that direct comparison of health state valuations is often inappropriate due to individual relativity.
  • Identified key factors contributing to the non-comparability of health state values.
  • The proposed method offers a framework for adjusting valuations to improve comparability.

Conclusions:

  • The assumption of direct comparability in CUA is often violated.
  • Individual expectations and abilities significantly influence health state valuations.
  • The proposed method provides a potential solution to enhance the accuracy and fairness of CUA.