Title |
Experience-based utility and own health state valuation for a health state classification system: why and how to do it
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Published in |
HEPAC Health Economics in Prevention and Care, October 2017
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DOI | 10.1007/s10198-017-0931-5 |
Pubmed ID | |
Authors |
John Brazier, Donna Rowen, Milad Karimi, Tessa Peasgood, Aki Tsuchiya, Julie Ratcliffe |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 24% |
Australia | 4 | 19% |
Spain | 3 | 14% |
Canada | 1 | 5% |
United States | 1 | 5% |
Mexico | 1 | 5% |
Netherlands | 1 | 5% |
Unknown | 5 | 24% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 62% |
Scientists | 6 | 29% |
Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 26% |
Student > Master | 6 | 18% |
Researcher | 3 | 9% |
Student > Bachelor | 2 | 6% |
Lecturer > Senior Lecturer | 1 | 3% |
Other | 3 | 9% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 5 | 15% |
Medicine and Dentistry | 5 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
Nursing and Health Professions | 3 | 9% |
Social Sciences | 2 | 6% |
Other | 5 | 15% |
Unknown | 11 | 32% |