EconPapers    
Economics at your fingertips  
 

Expert Elicitation to Inform Health Technology Assessment

Marta O. Soares () and Laura Bojke
Additional contact information
Marta O. Soares: University of York
Laura Bojke: University of York

Chapter Chapter 18 in Elicitation, 2018, pp 479-494 from Springer

Abstract: 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.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-65052-4_18

Ordering information: This item can be ordered from
http://www.springer.com/9783319650524

DOI: 10.1007/978-3-319-65052-4_18

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-319-65052-4_18