An Australian Discrete Choice Experiment to Value EQ-5D Health States
Conventionally, generic quality-of-life health states, defined within multi-attribute utility instruments, have been valued using a Standard Gamble or a Time Trade-Off. Both are grounded in expected utility theory but impose strong assumptions about the form of the utility function. Preference elici...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
John Wiley
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/28051 |
| _version_ | 1848752431986376704 |
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| author | Viney, R. Norman, Richard Brazier, J. Cronin, P. King, M. Ratcliffe, J. Street, D. |
| author_facet | Viney, R. Norman, Richard Brazier, J. Cronin, P. King, M. Ratcliffe, J. Street, D. |
| author_sort | Viney, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Conventionally, generic quality-of-life health states, defined within multi-attribute utility instruments, have been valued using a Standard Gamble or a Time Trade-Off. Both are grounded in expected utility theory but impose strong assumptions about the form of the utility function. Preference elicitation tasks for both are complicated, limiting the number of health states that each respondent can value and, therefore, that can be valued overall. The usual approach has been to value a set of the possible healthstates and impute values for the remainder. Discrete Choice Experiments (DCEs) offer an attractive alternative, allowing investigation of more flexible specifications of the utility function and greater coverage of the response surface. We designed a DCE to obtain values for EQ-5D health states and implemented it in an Australia-representative online panel (n = 1,031). A range of specifications investigating non-linear preferences with respect to time and interactions between EQ-5D levels were estimated using a random-effects probit model. The results provide empirical support for a flexible utility function, including at least some two-factor interactions. We then constructed a preference index such that full health and death were valued at 1 and 0, respectively, to provide a DCE-based algorithm for Australian cost–utility analyses. |
| first_indexed | 2025-11-14T08:08:31Z |
| format | Journal Article |
| id | curtin-20.500.11937-28051 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:08:31Z |
| publishDate | 2014 |
| publisher | John Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-280512017-09-13T15:14:32Z An Australian Discrete Choice Experiment to Value EQ-5D Health States Viney, R. Norman, Richard Brazier, J. Cronin, P. King, M. Ratcliffe, J. Street, D. cost–utility analysis Discrete Choice Experiment EQ-5D Australia Conventionally, generic quality-of-life health states, defined within multi-attribute utility instruments, have been valued using a Standard Gamble or a Time Trade-Off. Both are grounded in expected utility theory but impose strong assumptions about the form of the utility function. Preference elicitation tasks for both are complicated, limiting the number of health states that each respondent can value and, therefore, that can be valued overall. The usual approach has been to value a set of the possible healthstates and impute values for the remainder. Discrete Choice Experiments (DCEs) offer an attractive alternative, allowing investigation of more flexible specifications of the utility function and greater coverage of the response surface. We designed a DCE to obtain values for EQ-5D health states and implemented it in an Australia-representative online panel (n = 1,031). A range of specifications investigating non-linear preferences with respect to time and interactions between EQ-5D levels were estimated using a random-effects probit model. The results provide empirical support for a flexible utility function, including at least some two-factor interactions. We then constructed a preference index such that full health and death were valued at 1 and 0, respectively, to provide a DCE-based algorithm for Australian cost–utility analyses. 2014 Journal Article http://hdl.handle.net/20.500.11937/28051 10.1002/hec.2953 John Wiley restricted |
| spellingShingle | cost–utility analysis Discrete Choice Experiment EQ-5D Australia Viney, R. Norman, Richard Brazier, J. Cronin, P. King, M. Ratcliffe, J. Street, D. An Australian Discrete Choice Experiment to Value EQ-5D Health States |
| title | An Australian Discrete Choice Experiment to Value EQ-5D Health States |
| title_full | An Australian Discrete Choice Experiment to Value EQ-5D Health States |
| title_fullStr | An Australian Discrete Choice Experiment to Value EQ-5D Health States |
| title_full_unstemmed | An Australian Discrete Choice Experiment to Value EQ-5D Health States |
| title_short | An Australian Discrete Choice Experiment to Value EQ-5D Health States |
| title_sort | australian discrete choice experiment to value eq-5d health states |
| topic | cost–utility analysis Discrete Choice Experiment EQ-5D Australia |
| url | http://hdl.handle.net/20.500.11937/28051 |