STEER: Structured Expert Elicitation Resources for Healthcare Decision-Making

In a landscape of accelerated approvals, a less mature evidence base, and increasing reliance on real world evidence, obtaining judgements from clinical experts is becoming increasingly important to inform healthcare decision-making. In the past, expert elicitation has generally been unstructured in nature, but growing demand has led to a desire to improve the robustness of the methods used. Structured expert elicitation (SEE) has been identified by both NICE and CADTH as the preferred method for obtaining expert judgements on uncertain quantities, and it is expected that this type of data will be increasingly used to inform HTA submissions globally.

A recent MRC-funded project developed a set of reference methods for SEE in healthcare decision making, taking into account evidence and the requirements for decision making in health. To support the implementation of the reference case methods, researchers at the Centre for Health Economics, University of York, and Lumanity have developed STEER (Structured Expert Elicitation Resources) – user-friendly, open access resources for conducting SEE in healthcare decision-making.

In this webinar, researchers from the project summarize the research conducted and provide a hands-on demonstration of how the resources developed in the project can be used routinely in HTA practice. 

Viewers will learn where to find the new open access resources for structured expert elicitation in healthcare decision-making and how to use these resources.

This webinar was originally recorded November 29, 2022.