Evidence map›Paper›PMID 25751629›Full record

ArticlePloS one2015

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

Nikki McCaffrey, Meera Agar, Janeane Harlum, Jonathon Karnon, David Currow, Simon Eckermann

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Hospital at home: home-based end-of-life care.The Cochrane database of systematic reviews · 2021
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  16. A Computationally Efficient Method for Probabilistic Parameter Threshold Analysis for Health Economic Evaluations.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nikki McCaffreyFlinders Clinical Effectiveness, Flinders University, Bedford Park, South Australia, Australia 5041; Palliative and Supportive Services, Flinders University, Bedford Park, South Australia, Australia.
Meera AgarDepartment of Palliative Care, Braeside Hospital, Prairiewood, New South Wales, Australia; Palliative and Supportive Services, Flinders University, Bedford Park, South Australia, Australia.
Janeane HarlumSouth Western Sydney Local Health District, Liverpool, New South Wales, Australia.
Jonathon KarnonSchool of Population Health and Clinical Practice, University of Adelaide, Adelaide, South Australia, Australia.
David CurrowPalliative and Supportive Services, Flinders University, Bedford Park, South Australia, Australia.
Simon EckermannCentre for Health Service Development, Australian Health Services Research Institute, University of Wollongong, Wollongong, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComparing 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.

objectiveThe 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.

methodsMultiple 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.

resultsConventional analysis suggests PEACH is cost-effective when the threshold value per additional day at home (𝕜1) 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 𝕜1=$2,000 and 𝕜2=$2,000 (threshold value for dying at home), with a 51.6% chance of PEACH being cost-effective.

conclusionComparison 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.

Indexed as

Cost-Benefit AnalysisDecision MakingHealth Care CostsHumansQuality-Adjusted Life Years

Identifiers

PMID25751629
PMCPMC4353730

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.