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Optimal decision rules for HTA under uncertainty: a wider, dynamic perspective
Author(s) -
Forster Martin,
Pertile Paolo
Publication year - 2013
Publication title -
health economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.55
H-Index - 109
eISSN - 1099-1050
pISSN - 1057-9230
DOI - 10.1002/hec.2893
Subject(s) - perspective (graphical) , relation (database) , economics , resource allocation , affect (linguistics) , key (lock) , resource (disambiguation) , management science , operations research , microeconomics , computer science , actuarial science , risk analysis (engineering) , business , mathematics , sociology , artificial intelligence , management , data mining , communication , computer network , computer security
We present a two‐period framework, which combines real option and decision‐theoretic approaches to health technology assessment under uncertainty. By viewing adoption, treatment and research decisions as a single economic project, we illustrate how their key dimensions affect optimal rules. We consider the results in relation to the existing literature and argue that developments in this direction could contribute substantially to efficiency gains in resource allocation. Copyright © 2012 John Wiley & Sons, Ltd.