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506 Connections IN Health: A Model for Coalition Building?
OBJECTIVES/GOALS: Participants will learn about the Connections IN Health partnership. Participants will learn about the mixed-methods, multi-level evaluation model used to evaluate health coalitions. Participants will learn about how the Connections IN Health partnership promoted coalition growth a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209273/ http://dx.doi.org/10.1017/cts.2022.300 |
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author | Darbishire, Lily Savaiano, Dennis |
author_facet | Darbishire, Lily Savaiano, Dennis |
author_sort | Darbishire, Lily |
collection | PubMed |
description | OBJECTIVES/GOALS: Participants will learn about the Connections IN Health partnership. Participants will learn about the mixed-methods, multi-level evaluation model used to evaluate health coalitions. Participants will learn about how the Connections IN Health partnership promoted coalition growth among Indiana chronic disease coalitions. METHODS/STUDY POPULATION: Chronic disease coalitions under the Connections IN Health (CINH) partnership were evaluated using a novel mixed-methods, multi-level evaluation framework that triangulates coalition functioning and effectiveness (F/E) surveys, social network analysis (SNA), and health data. F/E and SNA surveys were distributed to active coalition members of the chronic disease coalitions before, 1 year, and 2 years after CINH was implemented. F/E data was analyzed to detect significant changes in coalition members’ perceptions of coalition functioning and effectiveness using unpaired, two sample t-tests in R. SNA data was analyzed to detect changes in partnership networks over time, such as membership growth and strength of connections using R software. County-level health data will be evaluated at year 5. RESULTS/ANTICIPATED RESULTS: The results of our longitudinal analysis of perceptions of functioning and effectiveness demonstrated significant increases in perceived leadership, satisfaction with the coalition, outcome efficacy, and members’ commitment to the coalition after Connections IN Health (CINH) was implemented. Social network analysis (SNA) demonstrated growth of coalition membership and strength of connections over time, including health information sharing, formal relationships, trust, and communication. SNA results also demonstrated increases in centralization and clustering among local vs. statewide organizations in coalition networks over time. Results were shared back with coalition members to make data-driven decisions about future coalition processes and functioning. DISCUSSION/SIGNIFICANCE: Health coalitions are a nationally recognized vehicle to promote and translate evidence-based practices to communities; however, evidence to support their effectiveness is limited at best. Our results provide evidence of CINH’s efficacy and identifies factors required to build effective and sustainable health coalitions. |
format | Online Article Text |
id | pubmed-9209273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92092732022-07-01 506 Connections IN Health: A Model for Coalition Building? Darbishire, Lily Savaiano, Dennis J Clin Transl Sci Workforce Development OBJECTIVES/GOALS: Participants will learn about the Connections IN Health partnership. Participants will learn about the mixed-methods, multi-level evaluation model used to evaluate health coalitions. Participants will learn about how the Connections IN Health partnership promoted coalition growth among Indiana chronic disease coalitions. METHODS/STUDY POPULATION: Chronic disease coalitions under the Connections IN Health (CINH) partnership were evaluated using a novel mixed-methods, multi-level evaluation framework that triangulates coalition functioning and effectiveness (F/E) surveys, social network analysis (SNA), and health data. F/E and SNA surveys were distributed to active coalition members of the chronic disease coalitions before, 1 year, and 2 years after CINH was implemented. F/E data was analyzed to detect significant changes in coalition members’ perceptions of coalition functioning and effectiveness using unpaired, two sample t-tests in R. SNA data was analyzed to detect changes in partnership networks over time, such as membership growth and strength of connections using R software. County-level health data will be evaluated at year 5. RESULTS/ANTICIPATED RESULTS: The results of our longitudinal analysis of perceptions of functioning and effectiveness demonstrated significant increases in perceived leadership, satisfaction with the coalition, outcome efficacy, and members’ commitment to the coalition after Connections IN Health (CINH) was implemented. Social network analysis (SNA) demonstrated growth of coalition membership and strength of connections over time, including health information sharing, formal relationships, trust, and communication. SNA results also demonstrated increases in centralization and clustering among local vs. statewide organizations in coalition networks over time. Results were shared back with coalition members to make data-driven decisions about future coalition processes and functioning. DISCUSSION/SIGNIFICANCE: Health coalitions are a nationally recognized vehicle to promote and translate evidence-based practices to communities; however, evidence to support their effectiveness is limited at best. Our results provide evidence of CINH’s efficacy and identifies factors required to build effective and sustainable health coalitions. Cambridge University Press 2022-04-19 /pmc/articles/PMC9209273/ http://dx.doi.org/10.1017/cts.2022.300 Text en © The Association for Clinical and Translational Science 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. |
spellingShingle | Workforce Development Darbishire, Lily Savaiano, Dennis 506 Connections IN Health: A Model for Coalition Building? |
title | 506 Connections IN Health: A Model for Coalition Building? |
title_full | 506 Connections IN Health: A Model for Coalition Building? |
title_fullStr | 506 Connections IN Health: A Model for Coalition Building? |
title_full_unstemmed | 506 Connections IN Health: A Model for Coalition Building? |
title_short | 506 Connections IN Health: A Model for Coalition Building? |
title_sort | 506 connections in health: a model for coalition building? |
topic | Workforce Development |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209273/ http://dx.doi.org/10.1017/cts.2022.300 |
work_keys_str_mv | AT darbishirelily 506connectionsinhealthamodelforcoalitionbuilding AT savaianodennis 506connectionsinhealthamodelforcoalitionbuilding |