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US valuation of the SF-6D
Benjamin M Craig1,2, A Simon Pickard3, Elly Stolk4
1Health Outcomes & Behavior Program, Moffitt Cancer Center, Tampa, Florida (BMC)
Summary
This study estimates SF-6D coefficients for US quality-adjusted life year (QALY) predictions. US and UK QALY values for health states were remarkably similar, enhancing comparative effectiveness research.
Area of Science:
- Health Economics
- Outcomes Research
- Psychometrics
Background:
- The SF-6D is a multiattribute utility (MAU) instrument used to value health states.
- The original study used UK data to estimate SF-6D coefficients for quality-adjusted life year (QALY) predictions.
Purpose of the Study:
- To estimate SF-6D coefficients using US data.
- To compare US and UK QALY predictions.
- To improve discrete choice experiment design and econometric methods for health valuation.
Main Methods:
- Collected 19,980 paired comparison responses from 666 US respondents.
- Employed a stacked probit model to estimate 25 SF-6D MAU regression coefficients.
- Compared US QALY predictions with UK predictions using 8428 SF-6D states from the US Medicare Health Outcomes Survey (MHOS).
Main Results:
- Twenty-two of 25 decrements in the SF-6D MAU regression were statistically significant.
- US and UK QALY predictions for SF-6D states were remarkably similar (Lin's coefficient of agreement: 0.941).
- The absolute mean difference between US and UK QALY predictions was 0.043.
Conclusions:
- The study successfully translated SF-6D states into US QALYs.
- Findings enhance the potential for US comparative effectiveness research.
- Improvements were made to discrete choice experiment design and econometric methods for health valuation.
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