ArticlePloS one2023
Discrete choice experiment versus swing-weighting: A head-to-head comparison of diabetic patient preferences for glucose-monitoring devices.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.PharmacoEconomics · 2025Pooled it
- Guidance or Misdirection? Unpacking the Role of Feedback in Health Preference Assessments.Health economics · 2026Article
- Variation in Attribute Prioritization and Design of Discrete Choice Experiments Across Pharmaceuticals and Medical Devices Patient Preference: A Systematic Review.Patient preference and adherence · 2026Review
- Stakeholder priorities for sustaining operations and maintenance of school sanitation facilities in Kampala City, Uganda.Discover public health · 2026Article
- Choroidal melanoma patient views on the importance of treatment characteristics and outcomes, and physicians' information provision in the Netherlands.Acta ophthalmologica · 2025Article
- How well do participants understand the questions asked in the Online Personal Utility Functions (OPUF) approach? A cognitive debrief of the EQ-HWB-S (EQ Health and Wellbeing Short version) valuation.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Establishment of a value assessment framework for orphan drugs in China: an application of the discrete choice experiment in multicriteria decision analysis.Frontiers in pharmacology · 2025Article
- Participatory Value Evaluation (PVE): A New Preference-Elicitation Method for Decision Making in Healthcare.Applied health economics and health policy · 2024Review
- Comparing Discrete Choice Experiment with Swing Weighting to Estimate Attribute Relative Importance: A Case Study in Lung Cancer Patient Preferences.Medical decision making : an international journal of the Society for Medical Decision Making · 2024Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLimited evidence exists for how patient preference elicitation methods compare directly. This study compares a discrete choice experiment (DCE) and swing-weighting (SW) by eliciting preferences for glucose-monitoring devices in a population of diabetes patients.
methodsA sample of Dutch adults with type 1 or 2 diabetes (n = 459) completed an online survey assessing their preferences for glucose-monitoring devices, consisting of both a DCE and a SW exercise. Half the sample completed the DCE first; the other half completed the SW first. For the DCE, the relative importance of the attributes of the devices was determined using a mixed-logit model. For the SW, the relative importance of the attributes was based on ranks and points allocated to the 'swing' from the worst to the best level of the attribute. The preference outcomes and self-reported response burden were directly compared between the two methods.
resultsParticipants reported they perceived the DCE to be easier to understand and answer compared to the SW. Both methods revealed that cost and precision of the device were the most important attributes. However, the DCE had a 14.9-fold difference between the most and least important attribute, while the SW had a 1.4-fold difference. The weights derived from the SW were almost evenly distributed between all attributes.
conclusionsThe DCE was better received by participants, and generated larger weight differences between each attribute level, making it the more informative method in our case study. This method comparison provides further evidence of the degree of method suitability and trustworthiness.
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