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Experience-based utility and own health state valuation for a health state classification system: why and how to do it

Author

Listed:
  • John Brazier

    (University of Sheffield)

  • Donna Rowen

    (University of Sheffield)

  • Milad Karimi

    (University of Sheffield
    Erasmus University Rotterdam)

  • Tessa Peasgood

    (University of Sheffield)

  • Aki Tsuchiya

    (University of Sheffield
    University of Sheffield)

  • Julie Ratcliffe

    (University of South Australia)

Abstract

In the estimation of population value sets for health state classification systems such as the EuroQOL five dimensions questionnaire (EQ-5D), there is increasing interest in asking respondents to value their own health state, sometimes referred to as “experience-based utility values” or, more correctly, own rather than hypothetical health states. Own health state values differ to hypothetical health state values, and this may be attributable to many reasons. This paper critically examines whose values matter; why there is a difference between own and hypothetical values; how to measure own health state values; and why to use own health state values. Finally, the paper examines other ways that own health state values can be taken into account, such as including the use of informed general population preferences that may better take into account experience-based values.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:eujhec:v:19:y:2018:i:6:d:10.1007_s10198-017-0931-5
    DOI: 10.1007/s10198-017-0931-5
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    References listed on IDEAS

    as
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    Cited by:

    1. Stöckel, Jannis & van Exel, Job & Brouwer, Werner B.F., 2023. "Adaptation in life satisfaction and self-assessed health to disability - Evidence from the UK," Social Science & Medicine, Elsevier, vol. 328(C).
    2. Huang, Li & Devlin, Nancy & Chen, Gang & Dalziel, Kim, 2024. "A happiness approach to valuing health states for children," Social Science & Medicine, Elsevier, vol. 348(C).
    3. Song, Jia & Chen, Gang & Khadka, Jyoti & Milte, Rachel & Ratcliffe, Julie, 2024. "One and the same or different? An empirical comparison of aged care recipient and non-aged care recipient preferences for quality of aged care amongst older Australians," Social Science & Medicine, Elsevier, vol. 353(C).
    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. Zsombor Zrubka & Zoltán Hermann & László Gulácsi & Valentin Brodszky & Fanni Rencz & Márta Péntek, 2019. "Determinants of the acceptability of health problems in different ages: exploring a new application of the EQ VAS," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 31-41, June.

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    More about this item

    Keywords

    Experience-based utility; Own health state valuation; Hypothetical health state values; Informed preferences;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

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