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Establishing health state valuations for disease specific states: an example from heart disease

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  • J. Kirsch
  • A. McGuire

Abstract

This study considers the feasibility of defining a QALY from disease‐specific data using the New York Heart Association (NYHA) classification of heart failure. The study derives health state values for the four different NYHA classifications of disease progression using the time trade‐off (TTO) instrument associated with the five dimensional (EQ‐5D) health state valuation method. Consistent mappings between the disease classification and the chosen QALY instrument are found. With this being the case, the assumption of constant proportionality, which is necessary to define the QALY as an acceptable measure of health related preferences, is considered. It is found that constant proportionality does not hold across the more severe health states, thus questioning the use of QALYs as representing cardinal preference structures. Copyright © 2000 John Wiley & Sons, Ltd.

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  • J. Kirsch & A. McGuire, 2000. "Establishing health state valuations for disease specific states: an example from heart disease," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 149-158, March.
    • Handle: RePEc:wly:hlthec:v:9:y:2000:i:2:p:149-158
    DOI: 10.1002/(SICI)1099-1050(200003)9:2<149::AID-HEC501>3.0.CO;2-N
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    References listed on IDEAS

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    Cited by:

    1. Attema, Arthur E. & Brouwer, Werner B.F., 2012. "A test of independence of discounting from quality of life," Journal of Health Economics, Elsevier, vol. 31(1), pages 22-34.
    2. José‐María Abellán‐Perpiñán & José‐Luis Pinto‐Prades & Ildefonso Méndez‐Martínez & Xabier Badía‐Llach, 2006. "Towards a better QALY model," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 665-676, July.
    3. F. Tomini & F. Prinzen & A. D. I. Asselt, 2016. "A review of economic evaluation models for cardiac resynchronization therapy with implantable cardioverter defibrillators in patients with heart failure," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(9), pages 1159-1172, December.
    4. Nikos Maniadakis & Mattias Ekman & Vasilios Fragoulakis & Vasiliki Papagiannopoulou & John Yfantopoulos, 2011. "Economic evaluation of irbesartan in combination with hydrochlorothiazide in the treatment of hypertension in Greece," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(3), pages 253-261, June.
    5. Floortje Nooten & Jan Busschbach & Michel Agthoven & Job Exel & Werner Brouwer, 2018. "What should we know about the person behind a TTO?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1207-1211, December.
    6. 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.
    7. José Mª Abellán & José Luis Pinto & Ildefonso Méndez & Xabier Badía, 2004. "A test of the predictive validity of non-linear QALY models using time trade-off utilities," Economics Working Papers 741, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Marjon Pol & Larissa Roux, 2005. "Time preference bias in time trade-off," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(2), pages 107-111, June.

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