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    An Australian Discrete Choice Experiment to Value EQ-5D Health States

    Access Status
    Fulltext not available
    Authors
    Viney, R.
    Norman, Richard
    Brazier, J.
    Cronin, P.
    King, M.
    Ratcliffe, J.
    Street, D.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Viney, R. and Norman, R. and Brazier, J. and Cronin, P. and King, M. and Ratcliffe, J. and Street, D. 2014. An Australian Discrete Choice Experiment to Value EQ-5D Health States. Health Economics. 23 (6): pp. 729-742.
    Source Title
    Health Economics
    DOI
    10.1002/hec.2953
    ISSN
    10991050
    URI
    http://hdl.handle.net/20.500.11937/28051
    Collection
    • Curtin Research Publications
    Abstract

    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.

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