We present a two period framework which combines real option and decision-theoretic approaches to health technology assessment (HTA) 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.

Optimal Decision Rules for HTA Under Uncertainty: a Wider, Dynamic Perspective

PERTILE, Paolo
2013

Abstract

We present a two period framework which combines real option and decision-theoretic approaches to health technology assessment (HTA) 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.
economic evaluation; dynamic programming; real options
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/476775
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