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The estimation of a preference-based measure of health from the SF-36

Lookup NU author(s): Dr Mark Deverill


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This paper reports on the findings of a study to derive a preference-based measure of health from the SF-36 for use in economic evaluation. The SF-36 was revised into a six-dimensional health state classification called the SF-6D. A sample of 249 states defined by the SF-6D have been valued by a representative sample of 611 members of the UK general population, using standard gamble. Models are estimated for predicting health state valuations for all 18,000 states defined by the SF-6D. The econometric modelling had to cope with the hierarchical nature of the data and its skewed distribution. The recommended models have produced significant coefficients for levels of the SF-6D, which are robust across model specification. However, there are concerns with some inconsistent estimates and over prediction of the value of the poorest health states. These problems must be weighed against the rich descriptive ability of the SF-6D, and the potential application of these models to existing and future SF-36 data set.

Publication metadata

Author(s): Deverill M; Brazier J; Roberts J

Publication type: Article

Publication status: Published

Journal: Journal of Health Economics

Year: 2002

Volume: 21

Issue: 2

Pages: 271-292

ISSN (print): 0167-6296

ISSN (electronic): 1879-1646

Publisher: Elsevier BV


DOI: 10.1016/S0167-6296(01)00130-8

Notes: Contribution to the research: I worked on the design of data collection tools with colleagues in the USA (John Ware the designer of the SF-36)and managed a contract with an independent rsearch organisation who conducted a survey of a sample that was representative of the UK population. Importance and impact of the findings:This paper has been cited 183 times (as at 2.7.07) and won an award as best paper for 2002 at the Int Soc for Quality of lIfe Research.


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