Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
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.