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Lowering The ‘Floor’ Of The Sf‐6d Scoring Algorithm Using A Lottery Equivalent Method

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  • José María Abellán Perpiñán
  • Fernando Ignacio Sánchez Martínez
  • Jorge Eduardo Martínez Pérez
  • Ildefonso Méndez

Abstract

This paper presents a new scoring algorithm for the SF‐6D, one of the most popular preference‐based health status measures. Previous SF‐6D value sets have a minimum (a floor), which is substantially higher than the lowest value generated by the EQ‐5D model. Our algorithm expands the range of SF‐6D utility scores in such a way that the floor is significantly lowered. We obtain the wider range because of the use of a lottery equivalent method through which preferences from a representative sample of Spanish general population are elicited. Copyright © 2011 John Wiley & Sons, Ltd.

Suggested Citation

  • José María Abellán Perpiñán & Fernando Ignacio Sánchez Martínez & Jorge Eduardo Martínez Pérez & Ildefonso Méndez, 2012. "Lowering The ‘Floor’ Of The Sf‐6d Scoring Algorithm Using A Lottery Equivalent Method," Health Economics, John Wiley & Sons, Ltd., vol. 21(11), pages 1271-1285, November.
    • Handle: RePEc:wly:hlthec:v:21:y:2012:i:11:p:1271-1285
    DOI: 10.1002/hec.1792
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    References listed on IDEAS

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    1. Bruno Casal & Eva Rodríguez-Míguez & Berta Rivera, 2020. "Measuring intangible cost-of-morbidity due to substance dependence: implications of using alternative preference-based instruments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 1039-1048, September.
    2. Pedro Ferreira & Lara Ferreira & Luis Pereira, 2015. "SF-6D Portuguese population norms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(3), pages 235-241, April.

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