Title |
Experimental measurement of preferences in health care using best-worst scaling (BWS): theoretical and statistical issues
|
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Published in |
Health Economics Review, January 2016
|
DOI | 10.1186/s13561-015-0077-z |
Pubmed ID | |
Authors |
Axel C. Mühlbacher, Peter Zweifel, Anika Kaczynski, F. Reed Johnson |
Abstract |
For optimal solutions in health care, decision makers inevitably must evaluate trade-offs, which call for multi-attribute valuation methods. Researchers have proposed using best-worst scaling (BWS) methods which seek to extract information from respondents by asking them to identify the best and worst items in each choice set. While a companion paper describes the different types of BWS, application and their advantages and downsides, this contribution expounds their relationships with microeconomic theory, which also have implications for statistical inference. This article devotes to the microeconomic foundations of preference measurement, also addressing issues such as scale invariance and scale heterogeneity. Furthermore the paper discusses the basics of preference measurement using rating, ranking and stated choice data in the light of the findings of the preceding section. Moreover the paper gives an introduction to the use of stated choice data and juxtaposes BWS with the microeconomic foundations. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 20% |
Student > Master | 8 | 13% |
Researcher | 8 | 13% |
Student > Doctoral Student | 6 | 10% |
Lecturer | 3 | 5% |
Other | 9 | 15% |
Unknown | 14 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 20% |
Economics, Econometrics and Finance | 9 | 15% |
Business, Management and Accounting | 7 | 12% |
Nursing and Health Professions | 4 | 7% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 10 | 17% |
Unknown | 16 | 27% |