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Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases

The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local sta...

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Autores principales: Hongoh, Valerie, Michel, Pascal, Gosselin, Pierre, Samoura, Karim, Ravel, André, Campagna, Céline, Cissé, Hassane Djibrilla, Waaub, Jean-Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847081/
https://www.ncbi.nlm.nih.gov/pubmed/27077875
http://dx.doi.org/10.3390/ijerph13040419
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author Hongoh, Valerie
Michel, Pascal
Gosselin, Pierre
Samoura, Karim
Ravel, André
Campagna, Céline
Cissé, Hassane Djibrilla
Waaub, Jean-Philippe
author_facet Hongoh, Valerie
Michel, Pascal
Gosselin, Pierre
Samoura, Karim
Ravel, André
Campagna, Céline
Cissé, Hassane Djibrilla
Waaub, Jean-Philippe
author_sort Hongoh, Valerie
collection PubMed
description The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local stakeholders has yet to be assessed. A multicriteria decision analysis (MCDA) approach was used to assess multi-stakeholder expressed concerns around disease prioritization via focus groups held in Quebec and Burkina Faso. Stakeholders weighted criteria and comparisons were made across study sites. A pilot disease prioritization was done to examine effects on disease rankings. A majority of identified criteria were common to both sites. The effect of context specific criteria and weights resulted in similar yet distinct prioritizations of diseases. The presence of consistent criteria between sites suggests that common concerns exist for prioritization; however, context-specific adjustments reveal much regarding resource availability, capacity and concerns that should be considered as this impacts disease ranking. Participatory decision aid approaches facilitate rich knowledge exchange and problem structuring. Furthermore, given multiple actors in low- and middle-income countries settings, multi-actor collaborations across non-governmental organizations, local government and community are important. Formal mechanisms such as MCDA provide means to foster consensus, shared awareness and collaboration.
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spelling pubmed-48470812016-05-04 Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases Hongoh, Valerie Michel, Pascal Gosselin, Pierre Samoura, Karim Ravel, André Campagna, Céline Cissé, Hassane Djibrilla Waaub, Jean-Philippe Int J Environ Res Public Health Article The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local stakeholders has yet to be assessed. A multicriteria decision analysis (MCDA) approach was used to assess multi-stakeholder expressed concerns around disease prioritization via focus groups held in Quebec and Burkina Faso. Stakeholders weighted criteria and comparisons were made across study sites. A pilot disease prioritization was done to examine effects on disease rankings. A majority of identified criteria were common to both sites. The effect of context specific criteria and weights resulted in similar yet distinct prioritizations of diseases. The presence of consistent criteria between sites suggests that common concerns exist for prioritization; however, context-specific adjustments reveal much regarding resource availability, capacity and concerns that should be considered as this impacts disease ranking. Participatory decision aid approaches facilitate rich knowledge exchange and problem structuring. Furthermore, given multiple actors in low- and middle-income countries settings, multi-actor collaborations across non-governmental organizations, local government and community are important. Formal mechanisms such as MCDA provide means to foster consensus, shared awareness and collaboration. MDPI 2016-04-12 2016-04 /pmc/articles/PMC4847081/ /pubmed/27077875 http://dx.doi.org/10.3390/ijerph13040419 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hongoh, Valerie
Michel, Pascal
Gosselin, Pierre
Samoura, Karim
Ravel, André
Campagna, Céline
Cissé, Hassane Djibrilla
Waaub, Jean-Philippe
Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases
title Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases
title_full Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases
title_fullStr Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases
title_full_unstemmed Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases
title_short Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases
title_sort multi-stakeholder decision aid for improved prioritization of the public health impact of climate sensitive infectious diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847081/
https://www.ncbi.nlm.nih.gov/pubmed/27077875
http://dx.doi.org/10.3390/ijerph13040419
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