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Mapping SF-36 onto the EQ-5D index: how reliable is the relationship?

Author

Listed:
  • Rowen, D
  • Brazier, J
  • Roberts, J

Abstract

Mapping from health status measures onto generic preference-based measures is becoming a common solution when health state utility values are not directly available for economic evaluation. However the accuracy and reliability of the models employed is largely untested, and there is little evidence of their suitability in patient datasets. This paper examines whether mapping approaches are reliable and accurate in terms of their predictions for a large and varied UK patient dataset. SF-36 dimension scores are mapped onto the EQ-5D index using a number of different model specifications. The predicted EQ-5D scores for subsets of the sample are compared across inpatient and outpatient settings and medical conditions. This paper compares the results to those obtained from existing mapping functions. Our results suggest that models mapping the SF-36 onto the EQ-5D have similar predictions across inpatient and outpatient setting and medical conditions. However, the models overpredict for more severe EQ-5D states; this problem is also present in the existing mapping functions.

Suggested Citation

  • Rowen, D & Brazier, J & Roberts, J, 2008. "Mapping SF-36 onto the EQ-5D index: how reliable is the relationship?," MPRA Paper 29831, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:29831
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    File URL: https://mpra.ub.uni-muenchen.de/29831/1/MPRA_paper_29831.pdf
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    References listed on IDEAS

    as
    1. 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.
    2. Christopher McCabe & Katherine Stevens & Jennifer Roberts & John Brazier, 2005. "Health state values for the HUI 2 descriptive system: results from a UK survey," Health Economics, John Wiley & Sons, Ltd., vol. 14(3), pages 231-244.
    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. Paul Kind & Geoffrey Hardman & Susan Macran, 1999. "UK population norms for EQ-5D," Working Papers 172chedp, Centre for Health Economics, University of York.
    5. Kenneth Y. Chay & James L. Powell, 2001. "Semiparametric Censored Regression Models," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 29-42, Fall.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    2. Nick Kontodimopoulos & Panagiotis Bozios & John Yfantopoulos & Dimitris Niakas, 2013. "Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(2), pages 307-314, April.
    3. Ning Gu & Chris Bell & Marc Botteman & Xiang Ji & John Carter & Ben Hout, 2012. "Estimating Preference-Based EQ-5D Health State Utilities or Item Responses from Neuropathic Pain Scores," The Patient: Patient-Centered Outcomes Research, Springer;Johns Hopkins Bloomberg School of Public Health, vol. 5(3), pages 185-197, September.

    More about this item

    Keywords

    health status; SF-36; SF-12; EQ-5D; utility; mapping;

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I19 - Health, Education, and Welfare - - Health - - - Other

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