Estimating health state utility values from discrete choice experiments-A QALY space model approach

Yuanyuan Gu, Richard Norman, Rosalie Viney

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Using discrete choice experiments (DCEs) to estimate health state utility values has become an important alternative to the conventional methods of Time Trade-Off and Standard Gamble. Studies using DCEs have typically used the conditional logit to estimate the underlying utility function. The conditional logit is known for several limitations. In this paper, we propose two types of models based on the mixed logit: one using preference space and the other using quality-adjusted life year (QALY) space, a concept adapted from the willingness-to-pay literature. These methods are applied to a dataset collected using the EQ-5D. The results showcase the advantages of using QALY space and demonstrate that the preferred QALY space model provides lower estimates of the utility values than the conditional logit, with the divergence increasing with worsening health states.

LanguageEnglish
Pages1098-1114
Number of pages17
JournalHealth Economics (United Kingdom)
Volume23
Issue number9
DOIs
Publication statusPublished - 2014
Externally publishedYes

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Space Simulation
Quality-Adjusted Life Years
Health

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abstract = "Using discrete choice experiments (DCEs) to estimate health state utility values has become an important alternative to the conventional methods of Time Trade-Off and Standard Gamble. Studies using DCEs have typically used the conditional logit to estimate the underlying utility function. The conditional logit is known for several limitations. In this paper, we propose two types of models based on the mixed logit: one using preference space and the other using quality-adjusted life year (QALY) space, a concept adapted from the willingness-to-pay literature. These methods are applied to a dataset collected using the EQ-5D. The results showcase the advantages of using QALY space and demonstrate that the preferred QALY space model provides lower estimates of the utility values than the conditional logit, with the divergence increasing with worsening health states.",
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Estimating health state utility values from discrete choice experiments-A QALY space model approach. / Gu, Yuanyuan; Norman, Richard; Viney, Rosalie.

In: Health Economics (United Kingdom), Vol. 23, No. 9, 2014, p. 1098-1114.

Research output: Contribution to journalArticleResearchpeer-review

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