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Best worst discrete choice experiments in health: methods and an application
Emily Lancsar1, Jordan Louviere, Cam Donaldson
1Centre for Health Economics, Monash University, Clayton, VIC 3800, Australia. Emily.Lancsar@monash.edu
Social Science & Medicine (1982)
|November 20, 2012
Summary
Best Worst Discrete Choice Experiments (BWDCEs) offer a novel method for collecting high-quality health preference data. This approach enhances preference elicitation and modeling for policy-relevant health research.
Area of Science:
- Health Economics
- Behavioral Economics
- Health Services Research
Background:
- Discrete Choice Experiments (DCEs) are crucial for gathering choice data to inform health policy.
- Traditional DCEs may not always yield sufficient high-quality data for robust model estimation.
- Best Worst Discrete Choice Experiments (BWDCEs) represent an emerging preference elicitation technique.
Purpose of the Study:
- To introduce and explain Best Worst Discrete Choice Experiments (BWDCEs) for health research.
- To present analytical approaches for modeling BWDCE data.
- To demonstrate the utility of BWDCEs in a real-world health preference study.
Main Methods:
- Description of the BWDCE methodology.
- Presentation of statistical modeling techniques for BWDCE data.
- Empirical application involving 898 public members in Canada regarding cardiac arrest treatment preferences.
Main Results:
- BWDCEs provide a valuable method for preference elicitation in health research.
- The study demonstrated gains in data quality and analytical power compared to traditional methods.
- Analysis of cardiac arrest treatment preferences revealed specific public priorities.
Conclusions:
- BWDCEs are a valuable tool for investigating health preferences.
- The findings have implications for designing choice experiments and analyzing preference data in health.
- Further research is recommended to explore task design and analytical extensions for BWDCEs.
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