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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

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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.

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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.