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Probabilistic Attribute Presentation in Discrete Choice Experiments: A Scoping Review of Current Practice
Gabriela S Fernandez1, Saudamini Oke2, Matt Quaife2,3
1Thermo Fisher Scientific, Waltham, MA, USA. gabriela.fernandez@thermofisher.com.
The Patient
|June 26, 2026
Summary
Health discrete choice experiments (DCEs) increasingly use visual aids for probability, but framing and design remain inconsistent. Further guidance is needed to standardize probability presentation in DCEs.
Area of Science:
- Health Economics
- Decision Science
- Health Services Research
Background:
- Discrete Choice Experiments (DCEs) are vital for understanding health preferences.
- Probability framing in DCEs significantly influences respondent choices.
- Standardization of probability presentation is increasingly advocated.
Purpose of the Study:
- To review health-related DCE practices regarding probability presentation.
- To assess adherence to current evidence-based guidance.
- To track changes in DCE methodology over time.
Main Methods:
- Scoping review of 98 health-related DCE studies (Oct 2022 - Aug 2024).
- Data extraction on probability framing, visual aids, and best-practice alignment.
- Searches across Medline, Embase, Web of Science, EconLit, and PsychINFO.
Main Results:
- 249 probabilistic attributes analyzed; risk attributes more common than benefit attributes.
- Risk attributes consistently used absolute framing; 16% of benefit attributes used relative framing.
- Visual aids, especially icon arrays, were frequently used, but design choices (e.g., gender, color) varied.
Conclusions:
- DCEs show increased adoption of recommended practices like visual aids.
- Persistent variability in probability framing and visual design necessitates further standardization.
- Methodological guidance is crucial for consistent probabilistic attribute presentation in DCEs.
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