Best–Worst Scaling and the Prioritization of Objects in Health: A Systematic Review

Ilene L. Hollin, Jonathan Paskett, Anne L. R. Schuster, Norah L. Crossnohere and John F. P. Bridges ()
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Ilene L. Hollin: Temple University College of Public Health
Jonathan Paskett: The Ohio State University College of Medicine
Anne L. R. Schuster: The Ohio State University College of Medicine
Norah L. Crossnohere: The Ohio State University College of Medicine
John F. P. Bridges: The Ohio State University College of Medicine

PharmacoEconomics, 2022, vol. 40, issue 9, No 4, 883-899

Abstract: Abstract Background and Objective Best–worst scaling is a theory-driven method that can be used to prioritize objects in health. We sought to characterize all studies of best–worst scaling to prioritize objects in health, to assess trends of using best–worst scaling in prioritization over time, and to assess the relationship between a legacy measure of quality (PREFS) and a novel assessment of subjective quality and policy relevance. Methods A systematic review identified studies published through to the end of 2021 that applied best–worst scaling to study priorities in health (PROSPERO CRD42020209745), updating a prior review published in 2016. The PubMed, EBSCOhost, Embase, Scopus, APA PsychInfo, Web of Science, and Google Scholar databases were used and were supplemented by a hand search. Data describing the application, development, design, administration/analysis, quality, and policy relevance were summarized and we tested for trends by comparing articles before and after 1 January, 2017. Multivariate statistics were then used to assess the relationships between PREFS, subjective quality, policy relevance, and other possible indicators. Results From a total of 2826 unique papers identified, 165 best–worst scaling studies were included in this review. Applications of best–worst scaling to study priorities in health have continued to grow (p

Date: 2022
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DOI: 10.1007/s40273-022-01167-1

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