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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Health Economicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Health Economics
Article . 2012 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Health Economics
Article . 2013
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SF‐6D POPULATION NORMS

Authors: Bernard, van den Berg;

SF‐6D POPULATION NORMS

Abstract

ABSTRACTThe derivation of population norms using simple generic health‐related quality of life measures to inform policy has been recommended in the literature. This letter illustrates the derivation of population norms for the SF‐6D in the United Kingdom. It uses a sample of 22,166 respondents from the 2010 wave of the study Understanding Society. Understanding Society is a national representative sample of British citizens. The survey of this study contains the SF‐12. It is possible to derive health state utilities from the SF‐12 (and from the SF‐36) using a relatively new instrument, the SF‐6D. The SF‐12 and the SF‐36 belong to the most widely used generic health‐related quality of life measures.Mean SF‐6D utility scores for males and females are 0.81 and 0.79, respectively. Especially the older age categories have lower utility scores. The younger age categories have slightly higher utility scores. From a list of 17 conditions, people with congestive heart failure had the lowest (0.60) and people with diabetes the highest (0.76) SF‐6D scores. This letter encourages the health economics research community to derive SF‐6D population norms to inform policy. Copyright © 2012 John Wiley & Sons, Ltd.

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Keywords

Adult, Aged, 80 and over, Male, Adolescent, Health Policy, Health Status, Age Factors, Middle Aged, United Kingdom, Young Adult, Models, Economic, Sex Factors, Quality of Life, Humans, Female, Quality-Adjusted Life Years, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
87
Top 1%
Top 10%
Top 10%
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