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J Health Econ. 2007 Jan;26(1):171-89. Epub 2006 May 16.

Best--worst scaling: What it can do for health care research and how to do it.

Author information

1
MRC Health Services Research Collaboration, Department of Social Medicine, University of Bristol, UK. terry.flynn@bristol.ac.uk

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.

PMID:
16707175
DOI:
10.1016/j.jhealeco.2006.04.002
[Indexed for MEDLINE]

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