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An empirical comparison of EQ-5D and SF-6D in liver transplant patients

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  • Louise Longworth

    (Health Economics Research Group, Brunel University, UK)

  • Stirling Bryan

    (Health Economics Facility, University of Birmingham, UK)

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    Abstract

    There remains disagreement about the preferred utility-based measure of health-related quality of life for use in constructing quality-adjusted life years (QALYs). The recent development of a new measure, the SF-6D, has highlighted this issue. The SF-6D and EuroQol EQ-5D measure health-related utilities on a scale where 0 represents death and 1 represents full health, and both have utility scores generated from random samples of the general UK population. This study explored whether, in a large sample of liver transplant patients, the two instruments provide similar results. The empirical data highlight important variation in the results generated from the use of the two instruments. The data are consistent with a view that the SF-6D does not describe health states at the lower end of the utility scale but is more sensitive than EQ-5D in detecting small changes towards the top of the scale. Copyright © 2003 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/hec.787
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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 12 (2003)
    Issue (Month): 12 ()
    Pages: 1061-1067

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    Handle: RePEc:wly:hlthec:v:12:y:2003:i:12:p:1061-1067

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    Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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    1. Dolan, Paul & Sutton, Matthew, 1997. "Mapping visual analogue scale health state valuations onto standard gamble and time trade-off values," Social Science & Medicine, Elsevier, vol. 44(10), pages 1519-1530, May.
    2. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
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    Cited by:
    1. Kontodimopoulos, Nick & Niakas, Dimitris, 2008. "An estimate of lifelong costs and QALYs in renal replacement therapy based on patients' life expectancy," Health Policy, Elsevier, vol. 86(1), pages 85-96, April.
    2. Christine McDonough & Anna Tosteson, 2007. "Measuring Preferences for Cost-Utility Analysis," PharmacoEconomics, Springer, vol. 25(2), pages 93-106, February.
    3. Garry Barton & Tracey Sach & Michael Doherty & Anthony Avery & Claire Jenkinson & Kenneth Muir, 2008. "An assessment of the discriminative ability of the EQ-5D index , SF-6D, and EQ VAS, using sociodemographic factors and clinical conditions," The European Journal of Health Economics, Springer, vol. 9(3), pages 237-249, August.
    4. Stirling Bryan & Louise Longworth, 2005. "Measuring health-related utility:," The European Journal of Health Economics, Springer, vol. 6(3), pages 253-260, September.
    5. L. M. Lamers & C. A. M. Bouwmans & A. van Straten & M. C. H. Donker & L. Hakkaart, 2006. "Comparison of EQ-5D and SF-6D utilities in mental health patients," Health Economics, John Wiley & Sons, Ltd., vol. 15(11), pages 1229-1236.
    6. Silvia Garrido & Ildefonso Méndez & José-María Abellán, 2013. "Analysing the Simultaneous Relationship Between Life Satisfaction and Health-Related Quality of Life," Journal of Happiness Studies, Springer, vol. 14(6), pages 1813-1838, December.
    7. Nick Kontodimopoulos & Evelina Pappa & Zinovia Chadjiapostolou & Eleni Arvanitaki & Angelos Papadopoulos & Dimitris Niakas, 2012. "Comparing the sensitivity of EQ-5D, SF-6D and 15D utilities to the specific effect of diabetic complications," The European Journal of Health Economics, Springer, vol. 13(1), pages 111-120, February.
    8. Nick Kontodimopoulos & Michalis Argiriou & Nikolaos Theakos & Dimitris Niakas, 2011. "The impact of disease severity on EQ-5D and SF-6D utility discrepancies in chronic heart failure," The European Journal of Health Economics, Springer, vol. 12(4), pages 383-391, August.
    9. Lene Lunde, 2013. "Can EQ-5D and 15D be used interchangeably in economic evaluations? Assessing quality of life in post-stroke patients," The European Journal of Health Economics, Springer, vol. 14(3), pages 539-550, June.
    10. Richard Grieve & Marina Grishchenko & John Cairns, 2009. "SF-6D versus EQ-5D: reasons for differences in utility scores and impact on reported cost-utility," The European Journal of Health Economics, Springer, vol. 10(1), pages 15-23, February.
    11. Garry R. Barton & Tracey H. Sach & Anthony J. Avery & Claire Jenkinson & Michael Doherty & David K. Whynes & Kenneth R. Muir, 2008. "A comparison of the performance of the EQ-5D and SF-6D for individuals aged > 45 years," Health Economics, John Wiley & Sons, Ltd., vol. 17(7), pages 815-832.
    12. Brazier, J, 2005. "Current state of the art in preference-based measures of health and avenues for further research," MPRA Paper 29762, University Library of Munich, Germany.
    13. Cecilia Quercioli & Gabriele Messina & Emanuela Barbini & Giovanni Carriero & Mara Fanì & Nicola Nante, 2009. "Importance of sociodemographic and morbidity aspects in measuring health-related quality of life: performances of three tools," The European Journal of Health Economics, Springer, vol. 10(4), pages 389-397, October.
    14. Janelle Seymour & Paul McNamee & Anthony Scott & Michela Tinelli, 2010. "Shedding new light onto the ceiling and floor? A quantile regression approach to compare EQ-5D and SF-6D responses," Health Economics, John Wiley & Sons, Ltd., vol. 19(6), pages 683-696.
    15. Rowen, D & Brazier, J & Tsuchiya, A & Hernández, M & Ibbotson, R, 2009. "The simultaneous valuation of states from multiple instruments using ranking and VAS data: methods and preliminary results," MPRA Paper 29841, University Library of Munich, Germany.
    16. Tsuchiya, Aki & Brazier, John & Roberts, Jennifer, 2006. "Comparison of valuation methods used to generate the EQ-5D and the SF-6D value sets," Journal of Health Economics, Elsevier, vol. 25(2), pages 334-346, March.

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