Brazier, J., Rowen, D.L. orcid.org/0000-0003-3018-5109, Karimi, M. et al. (3 more authors) (2018) Experience-based utility and own health state valuation for a health state classification system: why do it and how to do it. European Journal of Health Economics, 19 (6). pp. 881-891. ISSN 1618-7598
Abstract
In the estimation of population value sets for health state classification systems such as the EQ-5D, there is increasing interest in asking respondents to value their own health state, sometimes referred to as "experienced-based utility values" or more correctly ownrather than hypothetical health states. Own health state values differ to hypothetical health state values, and this may be attributed 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 also 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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Experience-based utility; own health state valuation; hypothetical health state values; informed preferences |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Economics (Sheffield) |
Funding Information: | Funder Grant number NATIONAL INSTITUTE FOR HEALTH RESEARCH UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Sep 2017 11:45 |
Last Modified: | 17 Nov 2023 12:28 |
Status: | Published |
Publisher: | Springer Verlag |
Refereed: | Yes |
Identification Number: | 10.1007/s10198-017-0931-5 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:121434 |