A Rapid Literature Review of Multi-Criteria Decision Support Methods in the Context of One Health for All-Hazards Threat Prioritization

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creativework.keywords - en
MCDA
One Health
all-hazards
decision support
multi-criteria decision analysis
prioritization
public health
rapid review
dc.contributor.author
Zhao, Jiawei
Smith, Tiffany
Lavigne, Melissa
Aenishaenslin, Cécile
Cox, Ruth
Fazil, Aamir
Johnson, Ana
Sanchez, Javier
Herma, Benoit
dc.date.accepted
2022-03-11
dc.date.accessioned
2024-02-26T21:06:42Z
dc.date.available
2024-02-26T21:06:42Z
dc.date.issued
2022-04-14
dc.description.abstract - en
BACKGROUND: Multi-Criteria Decision Analysis (MCDA) is a decision support tool that can be used in public health emergency management. The use of a One Health lens in MCDA can support the prioritization of threats and interventions which cut across the human, animal, and environmental domains. Previous literature reviews have focused on creating a snapshot of MCDA methodological trends. Our study provides an update to the MCDA methods literature with key considerations from a One Health perspective and addresses the application of MCDA in an all-hazards decision-making context. METHODS: We conducted a literature search on MEDLINE, EMBASE, SCOPUS, the CAB database, and a limited online gray literature search in partnership with a librarian from Health Canada. Articles were limited to those published in the year 2010 or later in a high-income setting (OECD member countries). RESULTS: Sixty-two articles were included for synthesis. Of these articles, most were Canadian studies (20%); and prioritized health risks, threats, and interventions in the human domain (69%). Six commonly used prioritization criteria were identified: threat, health, intervention, strategic, social, and economic impact. Stakeholders were engaged in 85% of studies and commonly consisted of government groups, non-governmental groups, subject matter experts, and the public. While most articles (65%) included elements of One Health based on our definition, only 5 studies (9%) explicitly acknowledged One Health as a guiding principle for the study. Forty seven percentage of studies noted that MCDA was beneficial in supporting the decision-making process. CONCLUSION: Current literature on health prioritization presents some variability in the depth of integration of the One Health framework and on the use of various MCDA methodologies given prioritization objectives. Studies which applied a comprehensive One Health approach, prioritized disparate threats, or conducted cyclical prioritizations for governing bodies were broad in scope, but sparse. The results of our review indicate the need for better guidance on the integration of a One Health approach and the use of various MCDA methods given the main prioritization objectives.
dc.identifier.citation
Zhao J, Smith T, Lavigne M, Aenishaenslin C, Cox R, Fazil A, Johnson A, Sanchez J, Hermant B. A Rapid Literature Review of Multi-Criteria Decision Support Methods in the Context of One Health for All-Hazards Threat Prioritization. Front Public Health. 2022 Apr 15;10:861594. doi: 10.3389/fpubh.2022.861594.
dc.identifier.doi
https://doi.org/10.3389/fpubh.2022.861594
dc.identifier.issn
2296-2565
dc.identifier.pubmedID
35493347
dc.identifier.uri
https://open-science.canada.ca/handle/123456789/1971
dc.language.iso
en
dc.publisher
Frontiers
dc.rights - en
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights - fr
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.rights.uri - en
https://creativecommons.org/licenses/by/4.0/
dc.rights.uri - fr
https://creativecommons.org/licenses/by/4.0/deed.fr
dc.subject - en
Health
dc.subject - fr
Santé
dc.subject.en - en
Health
dc.subject.fr - fr
Santé
dc.title - en
A Rapid Literature Review of Multi-Criteria Decision Support Methods in the Context of One Health for All-Hazards Threat Prioritization
dc.type - en
Article
dc.type - fr
Article
local.acceptedmanuscript.articlenum
861594
local.article.journaltitle
Frontiers in Public Health
local.article.journalvolume
10
local.peerreview - en
Yes
local.peerreview - fr
Oui
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