Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/97128
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Type: Journal article
Title: Better informing decision making with multiple outcomes cost-effectiveness analysis under uncertainty in cost-disutility space
Author: McCaffrey, N.
Agar, M.
Harlum, J.
Karnon, J.
Currow, D.
Eckermann, S.
Citation: PLoS One, 2015; 10(3):e0115544-1-e0115544-19
Publisher: Public Library of Science
Issue Date: 2015
ISSN: 1932-6203
1932-6203
Statement of
Responsibility: 
Nikki McCaffrey, Meera Agar, Janeane Harlum, Jonathon Karnon, David Currow, Simon Eckermann
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 palliative care model (PEACH) relative to usual care is undertaken in cost disutility (CDU) space and compared with analysis on the cost-effectiveness plane. Summary measures developed for comparing strategies across potential threshold values for multiple outcomes include: expected net loss (ENL) planes quantifying differences in expected net benefit; the ENL contour identifying preferred strategies minimising ENL and their expected value of perfect information; and cost-effectiveness acceptability planes showing probability of strategies minimising ENL. RESULTS: Conventional analysis suggests PEACH is cost-effective when the threshold value per additional day at home ( 1) exceeds $1,068 or dominated by usual care when only the proportion of home deaths is considered. In contrast, neither alternative dominate in CDU space where cost and outcomes are jointly considered, with the optimal strategy depending on threshold values. For example, PEACH minimises ENL when 1=$2,000 and 2=$2,000 (threshold value for dying at home), with a 51.6% chance of PEACH being cost-effective. CONCLUSION: Comparison in CDU space and associated summary measures have distinct advantages to multiple domain comparisons, aiding transparent and robust joint comparison of costs and multiple effects under uncertainty across potential threshold values for effect, better informing net benefit assessment and related reimbursement and research decisions.
Keywords: Humans; Decision Making; Quality-Adjusted Life Years; Cost-Benefit Analysis; Health Care Costs
Rights: © 2015 McCaffrey et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
RMID: 0030026040
DOI: 10.1371/journal.pone.0115544
Appears in Collections:Public Health publications

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