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A review of studies mapping (or cross walking) from non-preference based measures of health to generic preference-based measures

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  • Brazier, JE
  • Yang, Y
  • Tsuchiya, A

Abstract

This paper presents a systematic review of current practice in mapping between nonpreference based measures and generic preference-based measures. It reviews the studies identified by a systematic search of the published literature and the grey literature. This review seeks to address the feasibility and overall validity of this approach, the circumstances when it should be considered and to bring together any lessons for future mapping studies.

Suggested Citation

  • Brazier, JE & Yang, Y & Tsuchiya, A, 2008. "A review of studies mapping (or cross walking) from non-preference based measures of health to generic preference-based measures," MPRA Paper 29808, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:29808
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    File URL: https://mpra.ub.uni-muenchen.de/29808/1/MPRA_paper_29808.pdf
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    References listed on IDEAS

    as
    1. Brazier, John & Ratcliffe, Julie & Salomon, Joshua & Tsuchiya, Aki, 2016. "Measuring and Valuing Health Benefits for Economic Evaluation," OUP Catalogue, Oxford University Press, edition 2, number 9780198725923.
    2. 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.
    3. Jorgen Lauridsen & Terkel Christiansen & Unto Häkkinen, 2004. "Measuring inequality in self‐reported health—discussion of a recently suggested approach using Finnish data," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 725-732, July.
    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. Michael B. Nichol & Nishan Sengupta & Denise R. Globe, 2001. "Evaluating Quality-Adjusted Life Years," Medical Decision Making, , vol. 21(2), pages 105-112, April.
    6. 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.
    7. 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, September.
    8. William F. Lawrence & John A. Fleishman, 2004. "Predicting EuroQoL EQ-5D Preference Scores from the SF-12 Health Survey in a Nationally Representative Sample," Medical Decision Making, , vol. 24(2), pages 160-169, March.
    9. Bernie J. O'Brien & Marian Spath & Gordon Blackhouse & J.L. Severens & Paul Dorian & John Brazier, 2003. "A view from the bridge: agreement between the SF‐6D utility algorithm and the Health Utilities Index," Health Economics, John Wiley & Sons, Ltd., vol. 12(11), pages 975-981, November.
    10. Peter Franks & Erica I. Lubetkin & Marthe R. Gold & Daniel J. Tancredi & Haomiao Jia, 2004. "Mapping the SF-12 to the EuroQol EQ-5D Index in a National US Sample," Medical Decision Making, , vol. 24(3), pages 247-254, June.
    11. Alastair M. Gray & Oliver Rivero-Arias & Philip M. Clarke, 2006. "Estimating the Association between SF-12 Responses and EQ-5D Utility Values by Response Mapping," Medical Decision Making, , vol. 26(1), pages 18-29, January.
    12. Patrick W. Sullivan & Vahram Ghushchyan, 2006. "Mapping the EQ-5D Index from the SF-12: US General Population Preferences in a Nationally Representative Sample," Medical Decision Making, , vol. 26(4), pages 401-409, July.
    13. Dennis G. Fryback & William F. Lawrence & Patricia A. Martin & Ronald Klein & Barbara E.K. Klein, 1997. "Predicting Quality of Well-being Scores from the SF-36," Medical Decision Making, , vol. 17(1), pages 1-9, February.
    14. 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.
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    Cited by:

    1. Mavranezouli, I & Brazier, JE & Young, Tracey A. & Barkham, M, 2009. "Using Rasch analysis to form plausible health states amenable to valuation: the development of CORE-6D from CORE-OM in order to elicit preferences for common mental health problems," MPRA Paper 29849, University Library of Munich, Germany.

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    More about this item

    Keywords

    mapping; cross walking; preference-based measures; QALYs;
    All these keywords.

    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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