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Comparison of EQ‐5D and SF‐6D utilities in mental health patients

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  • L. M. Lamers
  • C. A. M. Bouwmans
  • A. van Straten
  • M. C. H. Donker
  • L. Hakkaart

Abstract

Various preference‐based measures of health are available for use as an outcome measure in cost–utility analysis. The aim of this study is to compare two such measures EQ‐5D and SF‐6D in mental health patients. Baseline data from a Dutch multi‐centre randomised trial of 616 patients with mood and/or anxiety disorders were used. Mean and median EQ‐5D and SF‐6D utilities were compared, both in the total sample and between severity subgroups based on quartiles of SCL‐90 scores. Utilities were expected to decline with increased severity. Both EQ‐5D and SF‐6D utilities differed significantly between patients of adjacent severity groups. Mean utilities increased from 0.51 at baseline to 0.68 at 1.5 years follow‐up for EQ‐5D and from 0.58 to 0.70 for SF‐6D. For all severity subgroups, the mean change in EQ‐5D utilities as well as in SF‐6D utilities was statistically significant. Standardised response means were higher for SF‐6D utilities. We concluded that both EQ‐5D and SF‐6D discriminated between severity subgroups and captured improvements in health over time. However, the use of EQ‐5D resulted in larger health gains and consequent lower cost–utility ratios, especially for the subgroup with the highest severity of mental health problems. Copyright © 2006 John Wiley & Sons, Ltd.

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  • 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, November.
  • Handle: RePEc:wly:hlthec:v:15:y:2006:i:11:p:1229-1236
    DOI: 10.1002/hec.1125
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    1. 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;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 10(1), pages 15-23, February.
    2. Ifigeneia Mavranezouli & Joran Lokkerbol, 2017. "A Systematic Review and Critical Appraisal of Economic Evaluations of Pharmacological Interventions for People with Bipolar Disorder," PharmacoEconomics, Springer, vol. 35(3), pages 271-296, March.
    3. 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, July.
    4. 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;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(3), pages 237-249, August.
    5. Carmen Selva-Sevilla & Paula Ferrara & Manuel Gerónimo-Pardo, 2020. "Interchangeability of the EQ-5D and the SF-6D, and comparison of their psychometric properties in a spinal postoperative Spanish population," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(4), pages 649-662, June.
    6. Yemi Oluboyede & Sandy Tubeuf & Chris McCabe, 2013. "Measuring health outcomes of adolescents: report from a pilot study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 11-19, February.
    7. Rowena Jacobs, 2009. "Investigating Patient Outcome Measures in Mental Health," Working Papers 048cherp, Centre for Health Economics, University of York.
    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;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(4), pages 383-391, August.
    9. 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;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(1), pages 111-120, February.

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