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Methodology to derive preference for health screening programmes using discrete choice experiments: a scoping review.
David Brain1, Amarzaya Jadambaa1, Sanjeewa Kularatna2
1Australian Centre for Health Services Innovation, Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, 4059, QLD, Australia.
This review highlights the need for better design in community health screening programs using discrete choice experiments (DCEs). Improvements are needed in sample size calculations, qualitative methods, and experimental design explanations for chronic disease screening.
Area of Science:
- Health Services Research
- Public Health
- Health Economics
Background:
- User involvement in healthcare decision-making is crucial but designing community health screening programs remains a challenge.
- Discrete Choice Experiments (DCEs) are underutilized for non-cancer chronic conditions like cardiovascular disease, diabetes, and liver disease.
- This review addresses the scarcity of knowledge on DCE applications in health screening for chronic conditions.
Purpose of the Study:
- To provide an overview of current applications and methods of Discrete Choice Experiments (DCEs) in community health screening programs.
- To identify areas for improvement in the design and execution of DCEs for chronic disease screening.
Main Methods:
- A scoping review of four electronic databases was conducted.
- Studies published between 2011 and 2021, in English, and involving human participants were included.
- Data were systematically extracted and summarized in a narrative review.
Main Results:
- Twenty-seven studies utilizing DCEs for cancer (26) and cardiovascular disease (1) screening were analyzed.
- The median quality score for the included studies was 9/13, with most studies (80%) having similar overall scores.
- Key findings include: two-thirds reported sample size calculations, half used online surveys, and over 75% involved the general public.
Conclusions:
- The review identified areas for improvement in current DCE practices for health screening.
- Recommendations include increased use of sample size calculations and qualitative methods.
- Enhanced explanation of experimental design, choice set generation, and analysis methods are crucial for future DCE studies.
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