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Transforming Latent Utilities to Health Utilities: East Does Not Meet West

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  • Feng Xie
  • Eleanor Pullenayegum
  • A. Simon Pickard
  • Juan Manuel Ramos Goñi
  • Min‐woo Jo
  • Ataru Igarashi

Abstract

Discrete choice experiments (DCEs) are a promising alternative to more resource‐intensive preference elicitation methods such as time trade‐off (TTO), as pairwise comparisons are more amenable to online completion, which can save time and money. However, modeling DCE data produces latent utilities which are on an unknown scale. Therefore, latent utilities need to be transformed to a full health–dead scale before they can be used in quality‐adjusted life year calculations. We aimed to explore transformation functions from DCE‐derived latent utilities to TTO‐derived health utilities. We used EQ‐5D‐5L valuation data from eight different countries that collected both DCE and TTO data by using a standardized protocol. Results found less variation in the function that transformed latent utilities to health utilities in the western countries than in the eastern countries. While a global transformation function is not recommended, results suggest that regional transformation functions could potentially be used to derive health utilities from DCE data. Copyright © 2016 John Wiley & Sons, Ltd.

Suggested Citation

  • Feng Xie & Eleanor Pullenayegum & A. Simon Pickard & Juan Manuel Ramos Goñi & Min‐woo Jo & Ataru Igarashi, 2017. "Transforming Latent Utilities to Health Utilities: East Does Not Meet West," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1524-1533, December.
    • Handle: RePEc:wly:hlthec:v:26:y:2017:i:12:p:1524-1533
    DOI: 10.1002/hec.3444
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    References listed on IDEAS

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    1. McCabe, Christopher & Brazier, John & Gilks, Peter & Tsuchiya, Aki & Roberts, Jennifer & O'Hagan, Anthony & Stevens, Katherine, 2006. "Using rank data to estimate health state utility models," Journal of Health Economics, Elsevier, vol. 25(3), pages 418-431, May.
    2. Angela Robinson & Anne Spencer & Peter Moffatt, 2015. "A Framework for Estimating Health State Utility Values within a Discrete Choice Experiment," Medical Decision Making, , vol. 35(3), pages 341-350, April.
    3. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    4. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
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    1. Agata Łaszewska & Ayesha Sajjad & Jan Busschbach & Judit Simon & Leona Hakkaart-van Roijen, 2022. "Conceptual Framework for Optimised Proxy Value Set Selection Through Supra-National Value Set Development for the EQ-5D Instruments," PharmacoEconomics, Springer, vol. 40(12), pages 1221-1234, December.
    2. Ian Waudby-Smith & A. Simon Pickard & Feng Xie & Eleanor M. Pullenayegum, 2020. "Using Both Time Tradeoff and Discrete Choice Experiments in Valuing the EQ-5D: Impact of Model Misspecification on Value Sets," Medical Decision Making, , vol. 40(4), pages 483-497, May.
    3. Ruixuan Jiang & Thomas Kohlmann & Todd A. Lee & Axel Mühlbacher & James Shaw & Surrey Walton & A. Simon Pickard, 2021. "Increasing respondent engagement in composite time trade-off tasks by imposing three minimum trade-offs to improve data quality," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 17-33, February.

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