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

Abellán Perpiñán José María | Zendy; Sánchez Martínez Fernando Ignacio | Zendy; Martínez Pérez Jorge Eduardo | Zendy; Méndez Ildefonso | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

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

Author(s) -

Abellán Perpiñán José María,

Sánchez Martínez Fernando Ignacio,

Martínez Pérez Jorge Eduardo,

Méndez Ildefonso

Publication year - 2012

Publication title -

health economics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.55

H-Index - 109

eISSN - 1099-1050

pISSN - 1057-9230

DOI - 10.1002/hec.1792

Subject(s) - lottery , preference , range (aeronautics) , algorithm , statistics , population , mathematics , value (mathematics) , econometrics , computer science , medicine , engineering , environmental health , aerospace engineering

SUMMARY 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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research