ESTIMATING HEALTH STATE UTILITY VALUES FROM DISCRETE CHOICE EXPERIMENTS-A QALY SPACE MODEL APPROACH
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. T...
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Published in | Health economics Vol. 23; no. 9; pp. 1098 - 1114 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
01.09.2014
Wiley Periodicals Inc |
Subjects | |
Online Access | Get full text |
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Summary: | 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. Copyright © 2014 John Wiley & Sons, Ltd. |
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Bibliography: | ArticleID:HEC3066 istex:809369DFA78A5BDC55E0FDBE7A146EFC604E5C8D ark:/67375/WNG-JGVGQQF1-Z ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1057-9230 1099-1050 |
DOI: | 10.1002/hec.3066 |