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Using attendance data for social network analysis of a community-engaged research partnership
BACKGROUND: The Rockefeller University Center for Clinical and Translational Science (RU-CCTS) and Clinical Directors Network (CDN), a Practice-Based Research Network (PBRN), fostered a community–academic research partnership involving Community Health Center (CHCs) clinicians, laboratory scientists...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057467/ https://www.ncbi.nlm.nih.gov/pubmed/33948293 http://dx.doi.org/10.1017/cts.2020.571 |
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author | Vasquez, Kimberly S. Chatterjee, Shirshendu Khalida, Chamanara Moftah, Dena D’Orazio, Brianna Leinberger-Jabari, Andrea Tobin, Jonathan N. Kost, Rhonda G. |
author_facet | Vasquez, Kimberly S. Chatterjee, Shirshendu Khalida, Chamanara Moftah, Dena D’Orazio, Brianna Leinberger-Jabari, Andrea Tobin, Jonathan N. Kost, Rhonda G. |
author_sort | Vasquez, Kimberly S. |
collection | PubMed |
description | BACKGROUND: The Rockefeller University Center for Clinical and Translational Science (RU-CCTS) and Clinical Directors Network (CDN), a Practice-Based Research Network (PBRN), fostered a community–academic research partnership involving Community Health Center (CHCs) clinicians, laboratory scientists, clinical researchers, community, and patient partners. From 2011 to 2018, the partnership designed and completed Community-Associated Methicillin-Resistant Staphylococcus Aureus Project (CAMP1), an observational study funded by the National Center for Advancing Translational Sciences (NCATS), and CAMP2, a Comparative Effectiveness Research Study funded by the Patient-Centered Outcomes Research Institute (PCORI). We conducted a social network analysis (SNA) to characterize this Community-Engaged Research (CEnR) partnership. METHODS: Projects incorporated principles of Community-Based Participatory Research (CAMP1/2) and PCORI engagement rubrics (CAMP2). Meetings were designed to be highly interactive, facilitate co-learning, share governance, and incentivize ongoing engagement. Meeting attendance formed the raw dataset enriched by stakeholder roles and affiliations. We used SNA software (Gephi) to form networks for four project periods, characterize network attributes (density, degree, centrality, vulnerability), and create sociograms. Polynomial regression models were used to study stakeholder interactions. RESULTS: Forty-seven progress meetings engaged 141 stakeholders, fulfilling 7 roles, and affiliated with 28 organizations (6 types). Network size, density, and interactions across organizations increased over time. Interactions between Community Members or Recruiters/Community Health Workers and almost every other role increased significantly across CAMP2 (P < 0.005); Community Members’ centrality to the network increased over time. CONCLUSIONS: In a partnership with a highly interactive meeting model, SNA using operational attendance data afforded a view of stakeholder interactions that realized the engagement goals of the partnership. |
format | Online Article Text |
id | pubmed-8057467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80574672021-05-03 Using attendance data for social network analysis of a community-engaged research partnership Vasquez, Kimberly S. Chatterjee, Shirshendu Khalida, Chamanara Moftah, Dena D’Orazio, Brianna Leinberger-Jabari, Andrea Tobin, Jonathan N. Kost, Rhonda G. J Clin Transl Sci Research Article BACKGROUND: The Rockefeller University Center for Clinical and Translational Science (RU-CCTS) and Clinical Directors Network (CDN), a Practice-Based Research Network (PBRN), fostered a community–academic research partnership involving Community Health Center (CHCs) clinicians, laboratory scientists, clinical researchers, community, and patient partners. From 2011 to 2018, the partnership designed and completed Community-Associated Methicillin-Resistant Staphylococcus Aureus Project (CAMP1), an observational study funded by the National Center for Advancing Translational Sciences (NCATS), and CAMP2, a Comparative Effectiveness Research Study funded by the Patient-Centered Outcomes Research Institute (PCORI). We conducted a social network analysis (SNA) to characterize this Community-Engaged Research (CEnR) partnership. METHODS: Projects incorporated principles of Community-Based Participatory Research (CAMP1/2) and PCORI engagement rubrics (CAMP2). Meetings were designed to be highly interactive, facilitate co-learning, share governance, and incentivize ongoing engagement. Meeting attendance formed the raw dataset enriched by stakeholder roles and affiliations. We used SNA software (Gephi) to form networks for four project periods, characterize network attributes (density, degree, centrality, vulnerability), and create sociograms. Polynomial regression models were used to study stakeholder interactions. RESULTS: Forty-seven progress meetings engaged 141 stakeholders, fulfilling 7 roles, and affiliated with 28 organizations (6 types). Network size, density, and interactions across organizations increased over time. Interactions between Community Members or Recruiters/Community Health Workers and almost every other role increased significantly across CAMP2 (P < 0.005); Community Members’ centrality to the network increased over time. CONCLUSIONS: In a partnership with a highly interactive meeting model, SNA using operational attendance data afforded a view of stakeholder interactions that realized the engagement goals of the partnership. Cambridge University Press 2020-12-21 /pmc/articles/PMC8057467/ /pubmed/33948293 http://dx.doi.org/10.1017/cts.2020.571 Text en © The Association for Clinical and Translational Science 2020 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Vasquez, Kimberly S. Chatterjee, Shirshendu Khalida, Chamanara Moftah, Dena D’Orazio, Brianna Leinberger-Jabari, Andrea Tobin, Jonathan N. Kost, Rhonda G. Using attendance data for social network analysis of a community-engaged research partnership |
title | Using attendance data for social network analysis of a community-engaged research partnership |
title_full | Using attendance data for social network analysis of a community-engaged research partnership |
title_fullStr | Using attendance data for social network analysis of a community-engaged research partnership |
title_full_unstemmed | Using attendance data for social network analysis of a community-engaged research partnership |
title_short | Using attendance data for social network analysis of a community-engaged research partnership |
title_sort | using attendance data for social network analysis of a community-engaged research partnership |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8057467/ https://www.ncbi.nlm.nih.gov/pubmed/33948293 http://dx.doi.org/10.1017/cts.2020.571 |
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