Journal
SOCIAL SCIENCE & MEDICINE
Volume 76, Issue -, Pages 74-82Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.socscimed.2012.10.007
Keywords
Canada; Best worst discrete choice experiments; Best worst scaling; Ranking; Sequential best worst; Heterogeneity; Cardiac arrest
Funding
- MRC/ESRC/NIHR [G0902066]
- MRC [G0902066] Funding Source: UKRI
- Medical Research Council [G0902066] Funding Source: researchfish
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A key objective of discrete choice experiments is to obtain sufficient quantity of high quality choice data to estimate choice models to be used to explore various policy/clinically relevant issues. This paper focuses on a relatively new form of choice experiment, 'Best Worst Discrete Choice Experiments' (BWDCEs) and their relevance to health research as a new way to meet such an objective. We explain what BWDCEs are, how and when to apply them and we present several analytical approaches to model the resulting data. We demonstrate this preference elicitation approach in an empirical application exploring preferences of 898 members of the general public in Edmonton and Calgary, Canada for treatment of cardiac arrest occurring in a public place and show the gains achieved compared to traditional analysis of first best data. We suggest that BWDCEs are a valuable way to investigate preferences in the health sector and discuss implications for task design, analysis and areas for future research. (C) 2012 Elsevier Ltd. All rights reserved.
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