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Modeling SF-6D Health Utilities: Is Bayesian Approach Appropriate?

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  • Samer A. Kharroubi

    (Department of Nutrition and Food Sciences, Faculty of Agricultural and Food Sciences, American University of Beirut, P.O. Box 11-0236, Riad El Solh, Beirut 1107-2020, Lebanon
    School of Health and Related Research, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield S1 4DA, UK)

Abstract

Background: Valuation studies of preference-based health measures like SF6D have been conducted in many countries. However, the cost of conducting such studies in countries with small populations or low- and middle-income countries (LMICs) can be prohibitive. There is potential to use results from readily available countries’ valuations to produce better valuation estimates. Methods: Data from Lebanon and UK SF-6D value sets were analyzed, where values for 49 and 249 health states were extracted from samples of Lebanon and UK populations, respectively, using standard gamble techniques. A nonparametric Bayesian model was used to estimate a Lebanon value set using the UK data as informative priors. The resulting estimates were then compared to a Lebanon value set obtained using Lebanon data by itself via various prediction criterions. Results: The findings permit the UK evidence to contribute potential prior information to the Lebanon analysis by producing more precise valuation estimates than analyzing Lebanon data only under all criterions used. Conclusions: The positive findings suggest that existing valuation studies can be merged with a small valuation set in another country to produce value sets, thereby making own country value sets more attainable for LMICs.

Suggested Citation

  • Samer A. Kharroubi, 2021. "Modeling SF-6D Health Utilities: Is Bayesian Approach Appropriate?," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8409-:d:611033
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    References listed on IDEAS

    as
    1. Samer A. Kharroubi & Yara Beyh & Marwa Diab El Harake & Dalia Dawoud & Donna Rowen & John Brazier, 2020. "Examining the Feasibility and Acceptability of Valuing the Arabic Version of SF-6D in a Lebanese Population," IJERPH, MDPI, vol. 17(3), pages 1-15, February.
    2. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    3. Donald L. Patrick & Helene E. Starks & Kevin C. Cain & Richard F. Uhlmann & Robert A. Pearlman, 1994. "Measuring Preferences for Health States Worse than Death," Medical Decision Making, , vol. 14(1), pages 9-18, February.
    4. Samer A. Kharroubi & Donna Rowen, 2019. "Valuation of preference-based measures: can existing preference data be used to select a smaller sample of health states?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(2), pages 245-255, March.
    5. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453.
    6. Samer A. Kharroubi & Anthony O'Hagan & John E. Brazier, 2005. "Estimating utilities from individual health preference data: a nonparametric Bayesian method," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(5), pages 879-895, November.
    7. Samer A. Kharroubi & Yara Beyh, 2021. "Bayesian modeling of health state preferences: could borrowing strength from existing countries’ valuations produce better estimates," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 773-788, July.
    8. Kelvin K. W. Chan & Feng Xie & Andrew R. Willan & Eleanor M. Pullenayegum, 2018. "Conducting EQ-5D Valuation Studies in Resource-Constrained Countries: The Potential Use of Shrinkage Estimators to Reduce Sample Size," Medical Decision Making, , vol. 38(1), pages 26-33, January.
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