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Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients

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  • Nick Kontodimopoulos
  • Panagiotis Bozios
  • John Yfantopoulos
  • Dimitris Niakas

Abstract

This study builds upon existing research having demonstrated the potential usefulness of mapping disease-specific instruments onto utility measures. The specific issue of longitudinal validity is addressed, as mapping models derived from baseline patients need to be validated on post-therapy samples. The underestimation of post-treatment utilities in the present study, at least in more severe patients, warrants further research before it is prudent to conduct cost-utility analyses in the context of RA by means of the MHAQ alone. Copyright Springer-Verlag 2013

Suggested Citation

  • 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.
    • Handle: RePEc:spr:eujhec:v:14:y:2013:i:2:p:307-314
    DOI: 10.1007/s10198-012-0376-9
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    References listed on IDEAS

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    1. Tsuchiya, A & Brazier, J & McColl, E & Parkin, D, 2002. "Deriving preference-based single indices from non-preference based condition-specific instruments: converting AQLQ into EQ5D indices," MPRA Paper 29740, University Library of Munich, Germany.
    2. 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.
    3. Roisin Adams & Cathal Walsh & Douglas Veale & Barry Bresnihan & Oliver FitzGerald & Michael Barry, 2010. "Understanding the Relationship between the EQ-5D, SF-6D, HAQ and Disease Activity in Inflammatory Arthritis," PharmacoEconomics, Springer, vol. 28(6), pages 477-487, June.
    4. Isabelle Huault & V. Perret & S. Charreire-Petit, 2007. "Management," Post-Print halshs-00337676, HAL.
    5. Louise Longworth & Martin Buxton & Mark Sculpher & David Smith, 2005. "Estimating utility data from clinical indicators for patients with stable angina," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(4), pages 347-353, December.
    6. 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.
    7. Marra, Carlo A. & Woolcott, John C. & Kopec, Jacek A. & Shojania, Kamran & Offer, Robert & Brazier, John E. & Esdaile, John M. & Anis, Aslam H., 2005. "A comparison of generic, indirect utility measures (the HUI2, HUI3, SF-6D, and the EQ-5D) and disease-specific instruments (the RAQoL and the HAQ) in rheumatoid arthritis," Social Science & Medicine, Elsevier, vol. 60(7), pages 1571-1582, April.
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    More about this item

    Keywords

    Mapping; Utilities; EQ-5D; MHAQ; DAS28; Rheumatoid arthritis; I19;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other

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