1. Best-worst scaling: What it can do for health care research and how to do it
- Author
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Flynn, Terry N., Louviere, Jordan J., Peters, Tim J., and Coast, Joanna
- Subjects
Health care industry -- Analysis ,Health care industry ,Business ,Economics - Abstract
To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.jhealeco.2006.04.002 Byline: Terry N. Flynn (a), Jordan J. Louviere (b), Tim J. Peters (c), Joanna Coast (d) Keywords: Discrete choice experiments; Utility; Attribute importance Abstract: Statements like 'quality of care is more highly valued than waiting time' can neither be supported nor refuted by comparisons of utility parameters from a traditional discrete choice experiment (DCE). Best-worst scaling can overcome this problem because it asks respondents to perform a different choice task. However, whilst the nature of the best-worst task is generally understood, there are a number of issues relating to the design and analysis of a best-worst choice experiment that require further exposition. This paper illustrates how to aggregate and analyse such data and using a quality of life pilot study demonstrates how richer insights can be drawn by the use of best-worst tasks. Author Affiliation: (a) MRC Health Services Research Collaboration, Department of Social Medicine, University of Bristol, UK (b) Centre for the Study of Choice, University of Technology, Sydney, Australia (c) Department of Community Based Medicine, University of Bristol, UK (d) Health Economics Facility, University of Birmingham, UK Article History: Received 9 February 2005; Revised 27 March 2006; Accepted 19 April 2006
- Published
- 2007