title: US valuation of the SF-6D.
abstract: The original SF-6D valuation study collected 3503 standard gambled responses from 611 UK respondents to predict quality-adjusted life year (QALY) values.
  
  
  
  Using 19,980 paired comparison responses from 666 US respondents and a stacked probit model, the 25 coefficients of the original SF-6D multiattribute utility (MAU) regression were estimated, such that each coefficient represents a QALY decrement. The US QALY predictions were compared with UK predictions using 8428 SF-6D states in the US Medicare Health Outcomes Survey (MHOS), 1998 to 2003.
  
  
  
  Twenty-two of the 25 decrements in the SF-6D MAU regression are statistically significant. The remaining decrements are insignificant based on US and UK results. The US and UK QALY predictions for the MHOS SF-6D states are remarkably similar given differences in experimental design, format, and sampling (Lin's coefficient of agreement, 0.941; absolute mean difference, 0.043). Limitations. The underlying theoretical framework for the
  
  
  
  and econometric analysis builds from the episodic random utility model and the concept of QALYs and inherits their limitations.
  
  
  
  This study enhances the potential for US comparative effectiveness research by translating SF-6D states into US QALYs as well as improves upon discrete choice experiment design and econometric methods for health valuation.
authors: Health Outcomes & Behavior Program, Moffitt Cancer Center, Tampa, Florida (BMC)|Department of Economics, University of South Florida, Tampa, Florida (BMC)
authors: Benjamin M
authors: BM
authors: Craig
authors: Center for Pharmacoeconomic Research and Department of Pharmacy Practice, University of Illinois at Chicago, Chicago, Illinois (ASP)
authors: A Simon
authors: AS
authors: Pickard
authors: Department of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands (ES)
authors: Elly
authors: E
authors: Stolk
authors: Health Economics, Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK (JEB)
authors: John E
authors: JE
authors: Brazier
mesh_terms: D006305:Health Status Indicators; D011594:Psychometrics; D019057:Quality-Adjusted Life Years; D014481:United States
keywords: decision analysis; econometric methods; mathematical models; preferences and quality of life; statistical methods
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