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Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis
Systems modeling offers a valuable tool to support strategic decision-making for complex problems because it considers the causal inter-relationships that drive population health outcomes. This tool can be used to simulate policies and initiatives to determine which combinations are likely to delive...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663236/ https://www.ncbi.nlm.nih.gov/pubmed/38026382 http://dx.doi.org/10.3389/fpubh.2023.1282662 |
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author | Camacho, Salvador Hilber, Adriane Martin Ospina-Pinillos, Laura Sánchez-Nítola, Mónica Shambo-Rodríguez, Débora L. Lee, Grace Yeeun Occhipinti, Jo-An |
author_facet | Camacho, Salvador Hilber, Adriane Martin Ospina-Pinillos, Laura Sánchez-Nítola, Mónica Shambo-Rodríguez, Débora L. Lee, Grace Yeeun Occhipinti, Jo-An |
author_sort | Camacho, Salvador |
collection | PubMed |
description | Systems modeling offers a valuable tool to support strategic decision-making for complex problems because it considers the causal inter-relationships that drive population health outcomes. This tool can be used to simulate policies and initiatives to determine which combinations are likely to deliver the greatest impacts and returns on investment. Systems modeling benefits from participatory approaches where a multidisciplinary stakeholder group actively engages in mapping and contextualizing causal mechanisms driving complex system behaviors. Such approaches can have significant advantages, including that they may improve connection and coordination of the network of stakeholders operating across the system; however, these are often observed in practice as colloquial anecdotes and seldom formally assessed. We used a basic social network analysis to explore the impact on the configuration of the network of mental health providers, decision-makers, and other stakeholders in Bogota, Colombia active in a series of three workshops throughout 2021 and 2022. Overall, our analysis suggests that the participatory process of the systems dynamics exercise impacts the social network’s structure, relationships, and dynamics. |
format | Online Article Text |
id | pubmed-10663236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106632362023-11-08 Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis Camacho, Salvador Hilber, Adriane Martin Ospina-Pinillos, Laura Sánchez-Nítola, Mónica Shambo-Rodríguez, Débora L. Lee, Grace Yeeun Occhipinti, Jo-An Front Public Health Public Health Systems modeling offers a valuable tool to support strategic decision-making for complex problems because it considers the causal inter-relationships that drive population health outcomes. This tool can be used to simulate policies and initiatives to determine which combinations are likely to deliver the greatest impacts and returns on investment. Systems modeling benefits from participatory approaches where a multidisciplinary stakeholder group actively engages in mapping and contextualizing causal mechanisms driving complex system behaviors. Such approaches can have significant advantages, including that they may improve connection and coordination of the network of stakeholders operating across the system; however, these are often observed in practice as colloquial anecdotes and seldom formally assessed. We used a basic social network analysis to explore the impact on the configuration of the network of mental health providers, decision-makers, and other stakeholders in Bogota, Colombia active in a series of three workshops throughout 2021 and 2022. Overall, our analysis suggests that the participatory process of the systems dynamics exercise impacts the social network’s structure, relationships, and dynamics. Frontiers Media S.A. 2023-11-08 /pmc/articles/PMC10663236/ /pubmed/38026382 http://dx.doi.org/10.3389/fpubh.2023.1282662 Text en Copyright © 2023 Camacho, Hilber, Ospina-Pinillos, Sánchez-Nítola, Shambo-Rodríguez, Lee and Occhipinti. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Camacho, Salvador Hilber, Adriane Martin Ospina-Pinillos, Laura Sánchez-Nítola, Mónica Shambo-Rodríguez, Débora L. Lee, Grace Yeeun Occhipinti, Jo-An Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis |
title | Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis |
title_full | Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis |
title_fullStr | Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis |
title_full_unstemmed | Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis |
title_short | Can participatory processes lead to changes in the configuration of local mental health networks? A social network analysis |
title_sort | can participatory processes lead to changes in the configuration of local mental health networks? a social network analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663236/ https://www.ncbi.nlm.nih.gov/pubmed/38026382 http://dx.doi.org/10.3389/fpubh.2023.1282662 |
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