Expert Elicitation to Inform Health Technology Assessment

Research output: Chapter in Book/Report/Conference proceedingChapter

Published copy (DOI)

Author(s)

Department/unit(s)

Publication details

Title of host publicationElicitation: The Science and Art of Structuring Judgement
DatePublished - Jan 2018
Pages479-494
PublisherSpringer International Publishing
Place of PublicationCham
EditorsLuis C Dias, Alec Morton, John Quigley
Original languageEnglish
ISBN (Print)978-3-319-65052-4

Abstract

In the face of constrained budgets, unavoidable decisions about the use of health care interventions have to be made. Decision makers seeking to maximise health for their given budget should use the best available information on effectiveness and cost-effectiveness, and for this purpose they may use a process of gathering and combining existing evidence in this context called Health Technology Assessment (HTA). In informing decisions, utilising HTA, expert elicitation can provide valuable information, particularly where evidence is missing, where it may not be as well developed (e.g. diagnostics, medical devices, early access to medicines scheme or public health) or limited (insufficient, not very relevant, contradictory and/or flawed). Here, formal methods to elicit expert judgements are preferred to improve the accountability and transparency of the decision making process, in addition to the important role in reducing bias and the use of heuristics. There have been a limited number of applications of expert elicitation in health care decision making, and in part this may be due to a number of methodological uncertainties regarding the applicability and transferability of techniques from other disciples, such as Bayesian statistics and engineering, to health care. This chapter discusses the distinguishing features of health care decision making and the use of expert elicitation to inform this, drawing on applied examples in the area illustrating some of the complexities and uncertainties.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations