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Applying network analysis to assess the development and sustainability of multi-sector coalitions

BACKGROUND: Accountable Communities of Health (ACH) models have been popularized through Center for Medicare and Medicaid Innovation (CMMI) grants, including the State Innovation Model (SIM), to encourage the development of community-based coalitions across medical, public health, and social service...

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Autores principales: Heeren, Tessa, Ward, Caitlin, Sewell, Daniel, Ashida, Sato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578585/
https://www.ncbi.nlm.nih.gov/pubmed/36256640
http://dx.doi.org/10.1371/journal.pone.0276114
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author Heeren, Tessa
Ward, Caitlin
Sewell, Daniel
Ashida, Sato
author_facet Heeren, Tessa
Ward, Caitlin
Sewell, Daniel
Ashida, Sato
author_sort Heeren, Tessa
collection PubMed
description BACKGROUND: Accountable Communities of Health (ACH) models have been popularized through Center for Medicare and Medicaid Innovation (CMMI) grants, including the State Innovation Model (SIM), to encourage the development of community-based coalitions across medical, public health, and social service delivery systems. These models enhance care coordination for patients and are better equipped to address Social Determinants of Health (SDH) needs. METHODS: Network data was collected from participating organizations in seven ACH sites established across Iowa. The application of network analysis quantitatively characterized the relational context of the interorganizational, cross-sector networks which are foundational to achieving the ACH goal of systematic, comprehensive care. Our analysis primarily used logistic network regression modeling (LNRM) to identify network structures and characteristics of organizations that facilitate or impede sustainable connections. RESULTS: Our findings suggest that the ACH was effective at stimulating sustainable connections across sectors and disparate positions of centrality in the network. Factors associated with sustainable connections between organizations included the strength of relationships and the type of collaboration, namely data sharing and resource sharing. Leadership roles designated by the ACH structure were associated with stimulating connections during the grant, but not with sustainment. Network measures of density and transitivity, which peaked during the grant period (compared to pre- and post-grant networks), further implied possible attrition of the ACH intervention effects without incentive to maintain collaborations. CONCLUSIONS: Multi-sector care coordination networks were established, but our findings suggest depreciation of ACH intervention momentum and structure without incentive to maintain collaborations beyond the three-year duration of the grant. Sustainability could be bolstered and ACH goals actualized with reliable long-term funding.
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spelling pubmed-95785852022-10-19 Applying network analysis to assess the development and sustainability of multi-sector coalitions Heeren, Tessa Ward, Caitlin Sewell, Daniel Ashida, Sato PLoS One Research Article BACKGROUND: Accountable Communities of Health (ACH) models have been popularized through Center for Medicare and Medicaid Innovation (CMMI) grants, including the State Innovation Model (SIM), to encourage the development of community-based coalitions across medical, public health, and social service delivery systems. These models enhance care coordination for patients and are better equipped to address Social Determinants of Health (SDH) needs. METHODS: Network data was collected from participating organizations in seven ACH sites established across Iowa. The application of network analysis quantitatively characterized the relational context of the interorganizational, cross-sector networks which are foundational to achieving the ACH goal of systematic, comprehensive care. Our analysis primarily used logistic network regression modeling (LNRM) to identify network structures and characteristics of organizations that facilitate or impede sustainable connections. RESULTS: Our findings suggest that the ACH was effective at stimulating sustainable connections across sectors and disparate positions of centrality in the network. Factors associated with sustainable connections between organizations included the strength of relationships and the type of collaboration, namely data sharing and resource sharing. Leadership roles designated by the ACH structure were associated with stimulating connections during the grant, but not with sustainment. Network measures of density and transitivity, which peaked during the grant period (compared to pre- and post-grant networks), further implied possible attrition of the ACH intervention effects without incentive to maintain collaborations. CONCLUSIONS: Multi-sector care coordination networks were established, but our findings suggest depreciation of ACH intervention momentum and structure without incentive to maintain collaborations beyond the three-year duration of the grant. Sustainability could be bolstered and ACH goals actualized with reliable long-term funding. Public Library of Science 2022-10-18 /pmc/articles/PMC9578585/ /pubmed/36256640 http://dx.doi.org/10.1371/journal.pone.0276114 Text en © 2022 Heeren et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Heeren, Tessa
Ward, Caitlin
Sewell, Daniel
Ashida, Sato
Applying network analysis to assess the development and sustainability of multi-sector coalitions
title Applying network analysis to assess the development and sustainability of multi-sector coalitions
title_full Applying network analysis to assess the development and sustainability of multi-sector coalitions
title_fullStr Applying network analysis to assess the development and sustainability of multi-sector coalitions
title_full_unstemmed Applying network analysis to assess the development and sustainability of multi-sector coalitions
title_short Applying network analysis to assess the development and sustainability of multi-sector coalitions
title_sort applying network analysis to assess the development and sustainability of multi-sector coalitions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578585/
https://www.ncbi.nlm.nih.gov/pubmed/36256640
http://dx.doi.org/10.1371/journal.pone.0276114
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