Journal of Clinical Epidemiology
Volume 62, Issue 12 , Pages 1323-1331 , December 2009

Estimating a preference-based index from the Japanese SF-36

  • John E. Brazier

      Affiliations

    • Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Yorkshire, UK
    • Corresponding Author InformationCorresponding author. Health Economics and Decision Science, The University of Sheffield, Regent Court, 30 Regent Street, Sheffield, Yorkshire S10 2FD, United Kingdom. Tel.: +44-114-2724095.
    • ,
  • Shunichi Fukuhara

      Affiliations

    • Department of Epidemiology and Healthcare Research, Graduate School of Medicine, Kyoto University, Kyoto, Japan
    • ,
  • Jennifer Roberts

      Affiliations

    • Department of Economics, University of Sheffield, University of Sheffield, Yorkshire, UK
    • ,
  • Samer Kharroubi

      Affiliations

    • Department of Mathematics, University of York, Heslington, York, UK
    • ,
  • Yosuke Yamamoto

      Affiliations

    • Department of Epidemiology and Healthcare Research, Graduate School of Medicine, Kyoto University, Kyoto, Japan
    • ,
  • Shunya Ikeda

      Affiliations

    • Department of Pharmaceutical Sciences, School of Pharmacy, International University and Health Welfare, Otawara, Tochigi, Japan
    • ,
  • Jim Doherty

      Affiliations

    • GlaxoSmithKline, Research Triangle Park, NC, USA
    • ,
  • Kiyoshi Kurokawa

      Affiliations

    • National Graduate Institute for Policy Studies, Tokyo, Japan

,Accepted 27 January 2009.

References 

  1. Brazier JE, Ratcliffe J, Tsuchiya A, Solomon J. Measuring and valuing health for economic evaluation. Oxford: Oxford University Press; 2007;
  2. Ware JE, Snow KK, Kolinski M, Gandek B. SF-36 Health Survey manual and interpretation guide. Boston: The Health Institute, New England Medical Centre; 1993;
  3. Brazier JE, Roberts J, Deverill M. The estimation of a preference-based measure of health from the SF-36. J Health Econ. 2002;21:271–292
  4. Dolan P. Modelling valuation for Euroqol health states. Med Care. 1997;35:351–363
  5. Feeny DH, Furlong WJ, Torrance GW, Goldsmith CH, Zenglong Z, Depauw S, et al. Multi-attribute and single-attribute utility function for the Health Utility Index Mark 3 system. Med Care. 2002;40:113–128
  6. Tsuchyia A, Ikeda S, Ikegami N, Nishimura S, Sakai I, Fukuda T, et al. Estimating an EQ-5D population value set: the case of Japan. Health Econ. 2002;11:341–354
  7. Shaw J, Johnson JA, Coons S. US valuation of the EQ-5D health states: development and testing of the D1 valuation model. Med Care. 2005;43:203–220
  8. McCabe C, Stevens K, Roberts J, Brazier JE. Health state values from the HUI-2 descriptive system: results from a UK survey. Health Econ. 2005;14:231–244
  9. Fukuhara S, Bito S, Green J, Hsiao A, Kurokawa K. Translation, adaptation and validation of the SF-36 Health Survey for use in Japan. J Clin Epidemiol. 1997;51:1037–1044
  10. Fukuhara S, Ware JE, Kosinski M, Wada S, Gandek B. Psychometric and clinical tests of validity of the Japanese SF-36 Health Survey. J Clin Epidemiol. 1998;51:1045–1053
  11. Furlong W, Feeny D, Torrance GW, Barr R, Horsman J. Guide to design and development of health state utility instrumentation. Hamilton, Ontario, Canada: McMaster University; 1990;Centre for Health Economics and Policy Analysis Paper 90-9
  12. Kharroubi S, Brazier J, Roberts J, O'Hagan A. Modelling SF-6D health state preference data using a nonparametric Bayesian method. J Health Econ. 2007;26:597–612
  13. Population of Japan Census 2005 Available at http://www.stat.go.jp/english/data/kokusei/2005/poj/mokuji.htm (accessed June 29, 2009).
  14. Lam CLK, Brazier J, McGhee SM. Valuation of the SF-6D health states is feasible, acceptable, reliable and valid in a Chinese population. Value Health. 2008;11:295–303
  15. Kharroubi SA, Brazier JE, O'Hagan A. Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian method. Soc Sci Med. 2007;64:1242–1252

PII: S0895-4356(09)00062-6

doi: 10.1016/j.jclinepi.2009.01.022

Journal of Clinical Epidemiology
Volume 62, Issue 12 , Pages 1323-1331 , December 2009

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