Application of Discrete Choice Experiment in Health Care: A Bibliometric Analysis

Background: Discrete choice experiment (DCE) as a tool that can measure medical stakeholders' preferences especially patients recently has been increasingly applied in health care. Objective: The aim of this study was to examine the hotspots and trends of the application of DCE in health care and to provide reference and direction for further development of DCE in the future. Method: A bibliometric method was implemented using the Web of Science (WoS) Core Collection for the period from the database established to December 8, 2020. The data files are imported into CiteSpace and Excel to analyze and visualize the annual volume of productive, authors, countries, cited journals, cited articles, and keywords. Results: A total of 1,811 articles were retrieved, then we read the abstract of each paper one by one, and 1,562 articles were included after screening, with an exponential increase in publication volume. John F. P. Bridges contributed to 40 publications and ranked first, followed by F. Reed Johnson (n = 37), Julie Ratcliffe (n = 36). The majority of the papers were conducted in the United States (n = 513) and the United Kingdom (n = 433). The top three cited journals were Health Economics (n = 981), Value in Health (n = 893), and Pharmaceutical Economics (n = 774), and the top three articles were Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force, Conjoint analysis applications in health-a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force, and Discrete choice experiments in health economics: a review of the literature. The research hotspots and trends included health technology assessment, survival, preference based measure, and health state valuation. Conclusion: The size of the literature about DCE studies in health care showed a noticeable increase in the past decade. The application of DCE in health care remains in an early growth phase, and health technology assessment, survival, preference based measure, and health state valuation reflected the latest research hotpots and future trends.

Automated summary

This study used bibliometric methods to analyze the hotspots and trends of DCE application in health care, revealing an exponential increase in publication volume. The research hotspots mainly focus on health technology assessment, survival, preference based measures, and health state valuation, showing potential future trends in the field.