title: 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.
authors: Applied Economics Department, School of Economics, University of Murcia, Murcia, Spain. dionisos@um.es
authors: José María
authors: JM
authors: Abellán Perpiñán
authors: Fernando Ignacio
authors: FI
authors: Sánchez Martínez
authors: Jorge Eduardo
authors: JE
authors: Martínez Pérez
authors: Ildefonso
authors: I
authors: Méndez
mesh_terms: D000328:Adult; D000465:Algorithms; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D011788:Quality of Life; D013030:Spain; D011795:Surveys and Questionnaires