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- DESCRIPTION
- FILES (1)
- REFERENCES (3)
- SUPPORT
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SF-6D
A brief overview:
The SF-36 has become the most widely used measure of general health in clinical studies throughout the world. It currently generates eight dimension scores and two summary scores for physical and mental health. Whilst such scores provide an excellent means for judging the effectiveness of health care interventions, they have only a limited application in economic evaluation because they are not based on preferences.
The SF-6D provides a means for using the SF-36 and SF-12 in economic evaluation by estimating a preference-based single index measure for health from these data using general population values. The SF-6D allows the analyst to obtain quality adjusted life years (QALYs) from the SF-36 for use in cost utility analysis.
If the results of your Project are published, the user shall, if appropriate, cite the publications listed in the References section tab.
Please note that an approved licence is required before commercial files related to this product can be downloaded. Such files are indicated by .
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File name:SF6D_programmes.zip
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| File size:1.69 MB | File version:n/a |
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Brazier , JE, Roberts , J (Sep 2004). The estimation of a preference-based measure of health from the SF-12., Medical Care 42(9), 851-9..
Kharroubi, S, Brazier, JE, Roberts, JR, O'Hagan, A (May 2007). Modelling SF-6D health state preference data using a nonparametric Bayesian method, Journal of Health Economics 1;26(3), 597-612.
Brazier , J, Roberts , J, Deverill , M (March 2002). The estimation a preference-based single index measure for health from the SF-36, Journal of Health Economics 21(2), 271-292.
What is available from this website?
Programmes that convert your SF-36 or SF-12 data into an SF-6D health state and corresponding utility score for each observation in your dataset.
What do the programmes do?
The programme will generate for each row of your dataset the six dimension scores of the SF-6D, the six digit health state and a utility value anchored at 1 for full health and 0 for dead.
What is the SF-6D?
The SF-6D is a generic preference-based single index measure of health that can be used to generate QALYs and hence which can be used in cost-utility analysis.
What types of programmes are available?
There are excel, SPSS and SAS programmes available to convert SF-36 data into SF-6D data and there are SPSS and SAS programmes available to convert SF-12 data into SF-6D.
All programmes generate the SF-6D utility score estimated using a set of parametric preference weights obtained from a sample of the general population using the recognised valuation technique of standard gamble. In addition a new excel programme is now available from the University of Sheffield to convert SF-36 data into the SF-6D utility score estimated using a set of non-parametric Bayesian preference weights. These nonparametric preference weights are an improvement on the parametric preference weights as the nonparametric model has many advantages over the conventional parametric random effects model which is reflected in improvements in the predictive ability of the model. For further details see Kharroubi et al. (2007).
Furthermore a new excel programme is available to convert SF-36 data into the SF-6D utility score estimated using a set of preference weights obtained using an ordinal valuation technique for a sample of the general population. The estimates using ordinal data represent an alternative value set based on a different valuation technique which produces estimates that are comparable to estimates produced using standard gamble data. For further details see McCabe et al. (2006).
Can I use the SF-6D algorithm for a different study other than the study described in the initial application?
No. You need a licence agreement for each study for which you use the SF-6D algorithm.
How does the SF-6D generate preference scores?
The SF-6D comes with a set of preference weights obtained from a sample of the general population in the UK using the recognised valuation technique of standard gamble. Members of the general population in the UK were asked to value a selection of health states from which a model has been estimated to predict all the health states described by the SF-6D.
Is there a written document outlining the process for converting the SF-36 data to SF-6D scores?
Instructions are available for each of the programmes available but these do not outline how the process can be done using a different software package. We currently have algorithms available for use on SF-36 data in SAS, SPSS and excel, and for SF-12 data in SAS and SPSS.
Can I use these programmes for a study outside the UK?
The SF-6D utility score is generated using preference weights obtained from a sample of the general population in the UK. The UK population may have different preferences to non-UK populations.
Video
CONTACT SUPPORT
SF-6D
Calculating QALYs from the SF-36 and SF-12
PROVIDING SCIENTIST/AUTHOR(s)
Licensing Sheffield
Prof. John Brazier
OPTIONS
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