Health System Choice: A Pilot Discrete-Choice Experiment Eliciting the Preferences of British and Australian Citizens
Abstract
Citizen preferences surrounding desirable health system characteristics should be considered when undertaking health system reform. The objective of this study was to pilot test a discrete-choice instrument designed to elicit preference weights surrounding health system attributes. A discrete-choice experiment was designed and administered to two convenience samples (n - 50 each) recruited from the UK and Australia. The impact of eight health system attributes representing level of health, equity, responsiveness and healthcare financing on the choice between hypothetical health systems was analysed utilizing mixed logit analysis. All characteristics affected the likelihood a health system would be preferred, with the exception of the additional tax contribution levels required to finance the system. There were very few missing or inconsistent responses. The direction of preferences was consistent with expectations for both samples; that is, an improvement in attributes describing level of health, equity or responsiveness increased the likelihood that a health system would be preferred. A number of potential improvements to the preference instrument are suggested. The discrete-choice technique used in this study offers a feasible method for eliciting health system preferences, and its use in a larger-scale study to elicit and compare the preferences of representative population samples is supported.Download Info
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Bibliographic Info
Article provided by Springer Healthcare | Adis in its journal Applied Health Economics and Health Policy.
Volume (Year): 8 (2010)
Issue (Month): 2 ()
Pages: 89-97
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Handle: RePEc:wkh:aheahp:v:8:y:2010:i:2:p:89-97
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Web page: http://healtheconomics.adisonline.com/
For corrections or technical questions regarding this item, or to correct its listing, contact: (Dave Dustin).
Related research
Keywords: Conjoint-analysis; Patient-preference;Find related papers by JEL classification:
- C - Mathematical and Quantitative Methods
- D - Microeconomics
- I - Health, Education, and Welfare
- Z - Other Special Topics
- I1 - Health, Education, and Welfare - - Health
- I19 - Health, Education, and Welfare - - Health - - - Other
- I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
- I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
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- Naoru Koizumi & Aileen Rothbard & Tony Smith & Jeremy Mayer, 2011. "Communities of color? Client-to-client racial concordance in the selection of mental health programs for Caucasians and African Americans," Health Care Management Science, Springer, vol. 14(4), pages 314-323, November.
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