Evidence map›Paper›PMID 30053829›Full record

ReviewBMC research notes2018

Using decision methods to examine the potential impact of intersectoral action programs.

Wanrudee Isaranuwatchai, Ahmed M Bayoumi, Emilie Renahy, Rebecca Cheff, Patricia O'Campo

Abstract readReview
In one paragraph

Review in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Wanrudee IsaranuwatchaiCentre for Excellence in Economic Analysis Research (CLEAR), The HUB, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada. isaranuwatcw@smh.ca.
Ahmed M BayoumiInstitute of Health Policy, Management and Evaluation, University of Toronto, 155 College St, Toronto, ON, M5T 3M6, Canada.
Emilie RenahyLea Roback Research Centre on Social Inequalities and Health, 1301, rue Sherbrooke Est, Montreal, QC, H2L 1M3, Canada.
Rebecca CheffWellesley Institute, 10 Alcorn Ave, Toronto, ON, M4V 3B1, Canada.
Patricia O'CampoCentre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn public health today, there is a widespread call for intersectoral action (ISA) programs, in which two or more sectors cooperate to address a problem. This trend raises a question of how to appropriately assess the effectiveness and cost-effectiveness of ISA programs. To assess the impact of ISA, evaluation methods should provide a framework for simultaneously considering the impact of two or more interventions when selecting from a portfolio of programs. There is a gap in literature on such methods. In this research note, from a narrative review, we report and describe methods that could be useful for evaluating ISA programs. Subsequently, we present a hypothetical case study to demonstrate the use of these methods.

resultsWe identified four methods that have potential to assess the joint impact of multiple interventions: economic evaluation, portfolio analysis, multiple-criteria decision analysis, and programme budgeting and marginal analysis. To keep pace with the desire to use strong evidence to inform the selection and design of ISA programs, methods must evolve to support these initiatives. This research note seeks to begin a dialogue on existing decision methods which may be used to assist decision makers with funding and resource allocation decisions of ISA programs.

Indexed as

Decision Support TechniquesPublic HealthBudgetsCost-Benefit AnalysisCross-sectoral researchDecision methodsEconomic evaluationIntersectoral action programsMultiple-criteria decision analysisPortfolio analysisProgramme budgeting and marginal analysisPublic health research

Identifiers

PMID30053829
PMCPMC6062875

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.