Recommendations on the Use of Structured Expert Elicitation Protocols for Healthcare Decision Making

Published Nov 2024

Citation

Soares M, Colson A, Bojke L, et al.  Recommendations on the use of structured expert elicitation protocols for healthcare decision making: a good practices report of an ISPOR Task Force. Value Health. 2024; (27)11:1469-1478.

Abstract

Healthcare decision making, (HCDM), 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 modelling 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 (SHELF), modified Delphi method, Cooke’s classical method, Investigate, Discuss, Estimate, Aggregate (IDEA) protocol and the Medical Research Council (MRC) reference protocol).  It describes the common elements of SEE, discussing how these particular protocols differ in their implementation of those elements, and illustrating the use of the protocols.

The report then reviews the relevant constraints on implementing SEE within the context of HCDM 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.

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