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EQ-5D-5L Health-State Values for the Mexican Population

Author

Listed:
  • Cristina Gutierrez-Delgado

    (National Autonomous University of Mexico
    Secretariat of Health)

  • Rosa-María Galindo-Suárez

    (General Health Council
    ISPOR Chapter Mexico)

  • Cesar Cruz-Santiago

    (General Health Council
    ISPOR Chapter Mexico)

  • Koonal Shah

    (PHMR Ltd)

  • Manny Papadimitropoulos

    (Eli Lilly Canada Inc
    University of Toronto)

  • Yan Feng

    (Queen Mary University of London)

  • Bernarda Zamora

    (Office of Health Economics)

  • Nancy Devlin

    (Office of Health Economics
    University of Melbourne)

Abstract

Objective To generate a value set for the Mexican adult general population to support and facilitate the inclusion of quality-adjusted life years (QALYs) into the health technology assessment process of the Mexican healthcare authorities. Methods A representative sample of the Mexican adult population stratified by age, sex and socio-economic status was used. Following version 2.0 of the EuroQol EQ-5D-5L valuation protocol, trained interviewers guided participants in completing composite time trade-off (cTTO) and discrete-choice experiment (DCE) tasks included in the EQ-VT software. Generalized least squares, Tobit and Bayesian models were used for cTTO data. The choice of value set model was based on criteria that included: theoretical considerations, parsimony, logical ordering of coefficients, and statistical significance. Results Based on quality control criteria and interviewer judgment, 1000 out of 1032 participants provided useable responses. Participants’ demographic characteristics were similar to the 2010 Mexican Population Census and followed the socioeconomic structure defined by the Mexican Association of Marketing Research and Public Opinion Agencies (AMAI). The predicted index values in the final cTTO model (a heteroscedastic censored model with Bayesian estimation) ranged from − 0.5960 to 1, with 19.7% of all predicted health state scores less than 0 (i.e., worse than dead). Conclusion This study has generated the first value set representing the stated preferences of the Mexican adult population for use in estimating QALYs. The resulting EQ-5D-5L value set is technically robust and will facilitate health economic analyses as well as quality-of-life studies.

Suggested Citation

  • Cristina Gutierrez-Delgado & Rosa-María Galindo-Suárez & Cesar Cruz-Santiago & Koonal Shah & Manny Papadimitropoulos & Yan Feng & Bernarda Zamora & Nancy Devlin, 2021. "EQ-5D-5L Health-State Values for the Mexican Population," Applied Health Economics and Health Policy, Springer, vol. 19(6), pages 905-914, November.
    • Handle: RePEc:spr:aphecp:v:19:y:2021:i:6:d:10.1007_s40258-021-00658-0
    DOI: 10.1007/s40258-021-00658-0
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    References listed on IDEAS

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    1. Nancy J. Devlin & David Parkin & John Browne, 2010. "Patient‐reported outcome measures in the NHS: new methods for analysing and reporting EQ‐5D data," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 886-905, August.
    2. Koonal K. Shah & Juan Manuel Ramos-Goñi & Simone Kreimeier & Nancy J. Devlin, 2020. "An exploration of methods for obtaining 0 = dead anchors for latent scale EQ-5D-Y values," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1091-1103, September.
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    1. Fan Yang & Kenneth R. Katumba & Bram Roudijk & Zhihao Yang & Paul Revill & Susan Griffin & Perez N. Ochanda & Mohammed Lamorde & Giulia Greco & Janet Seeley & Mark Sculpher, 2022. "Developing the EQ-5D-5L Value Set for Uganda Using the ‘Lite’ Protocol," PharmacoEconomics, Springer, vol. 40(3), pages 309-321, March.

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