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Dataset Information

Better informing decision making with multiple outcomes cost-effectiveness analysis under uncertainty in cost-disutility space.


ABSTRACT:

Introduction

Comparing multiple, diverse outcomes with cost-effectiveness analysis (CEA) is important, yet challenging in areas like palliative care where domains are unamenable to integration with survival. Generic multi-attribute utility values exclude important domains and non-health outcomes, while partial analyses-where outcomes are considered separately, with their joint relationship under uncertainty ignored-lead to incorrect inference regarding preferred strategies.

Objective

The objective of this paper is to consider whether such decision making can be better informed with alternative presentation and summary measures, extending methods previously shown to have advantages in multiple strategy comparison.

Methods

Multiple outcomes CEA of a home-based palliativ

SUBMITTER: McCaffrey N 

PROVIDER: S-EPMC4353730 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature