LOWERING THE ‘FLOOR’ OF THE SF‐6D SCORING ALGORITHM USING A LOTTERY EQUIVALENT METHOD

José María Abellán Perpiñán, Fernando Ignacio Sanchez Martinez, Jorge Eduardo Martínez Pérez and Ildefonso Méndez

Health Economics, 2012, vol. 21, issue 11, 1271-1285

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.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:wly:hlthec:v:21:y:2012:i:11:p:1271-1285

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