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A Spanish value set for the SF-6D based on the SF-12 v1

Author

Listed:
  • Jorge-Eduardo Martínez-Pérez

    (University of Murcia)

  • José-María Abellán-Perpiñán

    (University of Murcia)

  • Fernando-Ignacio Sánchez-Martínez

    (University of Murcia)

  • Juan-José Ruiz-López

    (University of Murcia)

Abstract

Aim This paper reports the first estimation of an SF-6D value set based on the SF-12 for Spain. Methods A representative sample (n = 1020) of the Spanish general population valued a selection of 56 hypothetical SF-6D health states by means of a probability lottery equivalent (PLE) method. The value set was derived using both random effects and mean models estimated by ordinary least squares (OLS). The best model was chosen on the basis of its predictive ability assessed in terms of mean absolute error (MAE). Results The model yielding the lowest MAE (0.075) was that based on main effects using OLS. Pain was the most significant dimension in predicting health state severity. Comparison with the previous SF-6D (SF-36) model estimated for Spain revealed no significant differences, with a similar MAE (0.081). Nevertheless, the new SF-6D (SF-12) model predicted higher utilities than those generated by the SF-6D (SF-36) scoring algorithm (minimum value − 0.071 vs − 0.357). Conclusion A value set for the SF-6D (SF-12) based on Spanish general population preferences elicited by means of a PLE technique is successfully estimated. The new estimated SF-6D (SF-12) preference-based measure provides a valuable tool for researchers and policymakers to assess the cost-effectiveness of new health technologies in Spain.

Suggested Citation

  • Jorge-Eduardo Martínez-Pérez & José-María Abellán-Perpiñán & Fernando-Ignacio Sánchez-Martínez & Juan-José Ruiz-López, 2024. "A Spanish value set for the SF-6D based on the SF-12 v1," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(8), pages 1333-1343, November.
    • Handle: RePEc:spr:eujhec:v:25:y:2024:i:8:d:10.1007_s10198-023-01657-9
    DOI: 10.1007/s10198-023-01657-9
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    References listed on IDEAS

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    1. Mark McCord & Richard de Neufville, 1986. ""Lottery Equivalents": Reduction of the Certainty Effect Problem in Utility Assessment," Management Science, INFORMS, vol. 32(1), pages 56-60, January.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. 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.
    4. Brendan Mulhern & Richard Norman & John Brazier, 2021. "Valuing SF-6Dv2 in Australia Using an International Protocol," PharmacoEconomics, Springer, vol. 39(10), pages 1151-1162, October.
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    More about this item

    Keywords

    SF-6D; SF-12; Lottery equivalent methods; Value set; Social tariff; Preference-based measure;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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