Recommendations on the use of structured expert elicitation protocols for healthcare decision making: a good practices report of an ISPOR task force

Marta Soares, Abigail Colson, Laura Bojke, Salah Ghabri, Osvaldo Ulises Garay, Jenna K Felli, Karen Lee, Elizabeth Molsen-David, Oswaldo Morales-Napoles, Victoria A Shaffer, Maarten J IJzerman

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Abstract

Healthcare decision making, including regulatory and reimbursement decisions, is based on uncertain assessments of clinical and economic value. This arises from the evidence supporting those assessments being uncertain, incomplete, or even absent. Qualitative, structured expert elicitation (SEE) is a valuable tool for extracting expert knowledge about an uncertain quantity and formulating that knowledge as a probability distribution. This creates a useful input to decision modeling and support, particularly in areas with limited evidence, such as advanced therapy products, precision medicine, rare diagnoses, and other areas with high uncertainty. Structured SEE protocols are used to improve the transparency, accuracy, and consistency of quantitative judgments from experts, limiting the effect of heuristics and biases. This task force report introduces 5 commonly used protocols for SEE (Sheffield elicitation framework; modified Delphi method; Cooke's classical method; investigate, discuss, estimate, aggregate protocol; and the Medical Research Council reference protocol). It describes the common elements of SEE, discusses how these protocols differ in their implementation of those elements and illustrates the use of the protocols. The report then reviews the relevant constraints on implementing SEE within the context of healthcare decision making and considers the strengths and weaknesses of these protocols in light of those considerations. Because this is an introductory report on an emerging topic, specific recommendations on practice are not made. However, there are broad recommendations based on the suitability of the different protocols in various decision contexts. The report concludes with recommendations for further research to better guide future practice.

Original languageEnglish
Pages (from-to)1469-1478
Number of pages10
JournalValue in Health
Volume27
Issue number11
Early online date14 Oct 2024
DOIs
Publication statusPublished - 1 Nov 2024

Keywords

  • Delivery of Health Care - standards
  • modified Delphi
  • Delphi Technique
  • Advisory Committees
  • Bayesian estimation
  • uncertainty
  • Humans
  • SHELF
  • Expert Testimony
  • Uncertainty
  • Decision Making
  • IDEA protocol
  • structured expert elicitation
  • Decision Support Techniques

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