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

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Author Info

  • 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.

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File URL: http://mpra.ub.uni-muenchen.de/29831/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 29831.

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Date of creation: 2008
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Handle: RePEc:pra:mprapa:29831

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Related research

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

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References

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  1. 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.
  2. 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.
  3. McCabe, C & Stevens, K & Roberts, J & Brazier, JE, 2003. "Health state values for the HUI 2 descriptive system: results from a UK survey," MPRA Paper 29744, University Library of Munich, Germany.
  4. 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.
  5. Paul Kind & Geoffrey Hardman & Susan Macran, 1999. "UK population norms for EQ-5D," Working Papers 172chedp, Centre for Health Economics, University of York.
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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, 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, vol. 14(2), pages 307-314, April.

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