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The role of a pre-scored multi-attribute health classification measure in validating condition-specific health state descriptions

  • Karen Gerard

    (Centre for Health Economics, Research and Evaluation (CHERE), University of Sydney, Mallet Street Campus, Camperdown, NSW, Australia)

  • Katharine Johnston

    (Health Economics Research Centre, University of Oxford, Institute of Health Sciences, Headington, Oxford, OX3 7LF, UK)

  • Jackie Brown

    (Health Economics Research Group, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK)

Registered author(s):

    It is common to find specially constructed condition-specific health state descriptions used as the basis for benefit assessment in cost-utility analysis. For this approach to be valid it is necessary to have valid descriptors of health states. Yet the evidence demonstrating descriptive validity has been neglected in economic evaluation. This paper reports on the validity, reliability and feasibility of obtaining values from specially constructed condition-specific descriptions of breast cancer screening by mapping these descriptions into a pre-scored multi-attribute health classification measure (the EuroQol instrument) and comparing the values obtained with those derived from a time trade-off exercise. In doing so, it highlights the importance of descriptive validity in explaining why different valuation methods produce different results. Four descriptions typically associated with ex post true negative, false positive, true positive and false negative breast screening results were considered. Copyright © 1999 John Wiley & Sons, Ltd.

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

    Volume (Year): 8 (1999)
    Issue (Month): 8 ()
    Pages: 685-699

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    Handle: RePEc:wly:hlthec:v:8:y:1999:i:8:p:685-699
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    1. Paul Dolan & Claire Gudex & Paul Kind & Alan Williams, 1995. "A social tariff for EuroQol: results from a UK general population survey," Working Papers 138chedp, Centre for Health Economics, University of York.
    2. Busschbach, Jan J. V. & Hessing, Dick J. & De Charro, Frank Th., 1993. "The utility of health at different stages in life: A quantitative approach," Social Science & Medicine, Elsevier, vol. 37(2), pages 153-158, July.
    3. Hall, Jane & Gerard, Karen & Salkeld, Glenn & Richardson, Jeff, 1992. "A cost utility analysis of mammography screening in Australia," Social Science & Medicine, Elsevier, vol. 34(9), pages 993-1004, May.
    4. Brooks, Richard AU -, 1996. "EuroQol: the current state of play," Health Policy, Elsevier, vol. 37(1), pages 53-72, July.
    5. Johnston, Katharine & Brown, Jackie & Gerard, Karen & O'Hanlon, Moira & Morton, Alison, 1998. "Valuing temporary and chronic health states associated with breast screening," Social Science & Medicine, Elsevier, vol. 47(2), pages 213-222, July.
    6. Torrance, George W., 1986. "Measurement of health state utilities for economic appraisal : A review," Journal of Health Economics, Elsevier, vol. 5(1), pages 1-30, March.
    7. Donaldson, Cam & Wright, Ken, 1990. "Programme-specific qalys : A reply," Journal of Health Economics, Elsevier, vol. 8(4), pages 489-491, February.
    8. G Torrance & Y Zhang & D Feeny & W Furlong & R Barr, 1992. "Multi-attribute Utility Functions for a Comprehensive Health Status Classification System: Health Utilities Index Mark 2," Centre for Health Economics and Policy Analysis Working Paper Series 1992-18, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    9. John Brazier & Mark Deverill, 1999. "A checklist for judging preference-based measures of health related quality of life: Learning from psychometrics," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 41-51.
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