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A comparison of patient and general population weightings of EQ‐5D dimensions

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  • Rachel Mann
  • John Brazier
  • Aki Tsuchiya

Abstract

This paper examines the differences in health state valuations given by patients when they are asked to value their own current states, and those given by members of the general population who were asked to value hypothetical health states. Patient data consist of 4137 observations on EQ‐5D profiles and Visual Analogue Scale (VAS) obtained from 3376 patients, covering eight different conditions. General population data are taken from the EQ‐5D valuation set. Two analyses were carried out. In the first, the patient self‐rated VAS was compared with population VAS values for the same health states. In the second, the patient self‐rated VAS values were modelled, and the regression coefficients were compared with the corresponding coefficients from the general population study. The first analysis resulted in a statistically significant mean difference of −0.012 (0.647 for patient VAS, 0.659 from the population value set). The second analysis found statistically significant differences between the coefficients for the EQ‐5D health dimensions Pain/Discomfort, Mobility and Anxiety/Depression. Anxiety/Depression had the largest impact on the patient model compared with Pain/Discomfort in the general population model. A further regression analysis suggests that the magnitude of disagreement between patient self‐rated VAS model and the population VAS model depends on the patients' condition. Copyright © 2008 John Wiley & Sons, Ltd.

Suggested Citation

  • Rachel Mann & John Brazier & Aki Tsuchiya, 2009. "A comparison of patient and general population weightings of EQ‐5D dimensions," Health Economics, John Wiley & Sons, Ltd., vol. 18(3), pages 363-372, March.
    • Handle: RePEc:wly:hlthec:v:18:y:2009:i:3:p:363-372
    DOI: 10.1002/hec.1362
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    References listed on IDEAS

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    1. 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.
    2. G. Ardine De Wit & Jan J.V. Busschbach & Frank Th. De Charro, 2000. "Sensitivity and perspective in the valuation of health status: whose values count?," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 109-126, March.
    3. Menzel, Paul & Dolan, Paul & Richardson, Jeff & Olsen, Jan Abel, 2002. "The role of adaptation to disability and disease in health state valuation: a preliminary normative analysis," Social Science & Medicine, Elsevier, vol. 55(12), pages 2149-2158, December.
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    1. Ogorevc, Marko & Murovec, Nika & Fernandez, Natacha Bolanos & Rupel, Valentina Prevolnik, 2019. "Questioning the differences between general public vs. patient based preferences towards EQ-5D-5L defined hypothetical health states," Health Policy, Elsevier, vol. 123(2), pages 166-172.
    2. John Brazier & Donna Rowen & Milad Karimi & Tessa Peasgood & Aki Tsuchiya & Julie Ratcliffe, 2018. "Experience-based utility and own health state valuation for a health state classification system: why and how to do it," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 881-891, July.
    3. P. Wang & E. Tai & J. Thumboo & Hubertus Vrijhoef & Nan Luo, 2014. "Does Diabetes Have an Impact on Health-State Utility? A Study of Asians in Singapore," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(3), pages 329-337, September.
    4. Elliott, Jack & Tsuchiya, Aki, 2022. "Do they just know more, or do they also have different preferences? An exploratory analysis of the effects of self-reporting serious health problems on health state valuation," Social Science & Medicine, Elsevier, vol. 315(C).
    5. Anja Schwalm & You-Shan Feng & Jörn Moock & Thomas Kohlmann, 2015. "Differences in EQ-5D-3L health state valuations among patients with musculoskeletal diseases, health care professionals and healthy volunteers," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(8), pages 865-877, November.
    6. Sean M. Murphy & Dan L. Friesner & Robert Rosenman, 2012. "Patients' perceptions and treatment effectiveness: a reassessment using generalized maximum entropy," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1243-1248, September.
    7. Anna Nicolet & Antoinette D I van Asselt & Karin M Vermeulen & Paul F M Krabbe, 2020. "Value judgment of new medical treatments: Societal and patient perspectives to inform priority setting in The Netherlands," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-18, July.
    8. Jeff Richardson & Angelo Iezzi & Kompal Sinha & Munir A. Khan & John Mckie, 2014. "An Instrument For Measuring The Social Willingness To Pay For Health State Improvement," Health Economics, John Wiley & Sons, Ltd., vol. 23(7), pages 792-805, July.

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