Advanced Search
MyIDEAS: Login to save this article or follow this journal

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

Contents:

Author Info

  • L. M. Lamers
  • C. A. M. Bouwmans

    (Institute for Medical Technology Assessment bv, Erasmus University Medical Center, Rotterdam, The Netherlands)

  • A. van Straten

    (Department of Health Policy and Management, Erasmus University Medical Center, Rotterdam, The Netherlands)

  • M. C. H. Donker

    (Department of Health Policy and Management, Erasmus University Medical Center, Rotterdam, The Netherlands)

  • L. Hakkaart

    (Institute for Medical Technology Assessment bv, Erasmus University Medical Center, Rotterdam, The Netherlands)

Registered author(s):

    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.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://hdl.handle.net/10.1002/hec.1125
    File Function: Link to full text; subscription required
    Download Restriction: no

    Bibliographic Info

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

    Volume (Year): 15 (2006)
    Issue (Month): 11 ()
    Pages: 1229-1236

    as in new window
    Handle: RePEc:wly:hlthec:v:15:y:2006:i:11:p:1229-1236

    Contact details of provider:
    Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

    Related research

    Keywords:

    References

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
    as in new window
    1. Han Bleichrodt, 2002. "A new explanation for the difference between time trade-off utilities and standard gamble utilities," Health Economics, John Wiley & Sons, Ltd., vol. 11(5), pages 447-456.
    2. Han Bleichrodt & Jose Luis Pinto & Peter P. Wakker, 2001. "Making Descriptive Use of Prospect Theory to Improve the Prescriptive Use of Expected Utility," Management Science, INFORMS, vol. 47(11), pages 1498-1514, November.
    3. John Brazier & Jennifer Roberts & Aki Tsuchiya & Jan Busschbach, 2004. "A comparison of the EQ-5D and SF-6D across seven patient groups," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 873-884.
    4. Oliver, Adam, 2003. "The internal consistency of the standard gamble: tests after adjusting for prospect theory," Journal of Health Economics, Elsevier, vol. 22(4), pages 659-674, July.
    5. 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.
    6. Bleichrodt, Han, 2001. " Probability Weighting in Choice under Risk: An Empirical Test," Journal of Risk and Uncertainty, Springer, vol. 23(2), pages 185-98, September.
    7. Dolan, Paul, 2000. "The measurement of health-related quality of life for use in resource allocation decisions in health care," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 32, pages 1723-1760 Elsevier.
    8. Louise Longworth & Stirling Bryan, 2003. "An empirical comparison of EQ-5D and SF-6D in liver transplant patients," Health Economics, John Wiley & Sons, Ltd., vol. 12(12), pages 1061-1067.
    9. Brooks, Richard AU -, 1996. "EuroQol: the current state of play," Health Policy, Elsevier, vol. 37(1), pages 53-72, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. 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.
    2. 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.
    3. Yemi Oluboyede & Sandy Tubeuf & Chris McCabe, 2013. "Measuring health outcomes of adolescents: report from a pilot study," The European Journal of Health Economics, Springer, vol. 14(1), pages 11-19, February.
    4. Rowena Jacobs, 2009. "Investigating Patient Outcome Measures in Mental Health," Working Papers 048cherp, Centre for Health Economics, University of York.
    5. 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.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:15:y:2006:i:11:p:1229-1236. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.