Lowering the 'floor' of the SF-6D scoring algorithm using a lottery equivalent method.

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.

journal_name

Health Econ

journal_title

Health economics

authors

Abellán Perpiñán JM,Sánchez Martínez FI,Martínez Pérez JE,Méndez I

doi

10.1002/hec.1792

subject

Has Abstract

pub_date

2012-11-01 00:00:00

pages

1271-85

issue

11

eissn

1057-9230

issn

1099-1050

journal_volume

21

pub_type

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