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Assessing a community health center-driven process for engaging with translational scientists: What will it take?

Published online by Cambridge University Press:  09 June 2025

Tracy A. Battaglia
Affiliation:
Boston University School of Medicine, Clinical and Translational Science Institute, Boston, MA, USA Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
Kareem I. King Jr.*
Affiliation:
Boston University School of Medicine, Clinical and Translational Science Institute, Boston, MA, USA
Allyson Richmond
Affiliation:
Boston HealthNet, Boston, MA, USA
Erika Christenson
Affiliation:
Boston University School of Medicine, Clinical and Translational Science Institute, Boston, MA, USA Section of General Internal Medicine, Department of Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
Rebecca Lobb
Affiliation:
Boston University School of Medicine, Clinical and Translational Science Institute, Boston, MA, USA
Astraea Augsberger
Affiliation:
Boston University School of Medicine, Clinical and Translational Science Institute, Boston, MA, USA Boston University School of Social Work, Boston, MA, USA
Celia Bora
Affiliation:
NeighborHealth, formerly East Boston Neighborhood Health Center, Boston, MA, USA
Stephen M. Tringale
Affiliation:
Codman Square Health Center, Dorchester, MA, USA
Linda Sprague Martinez
Affiliation:
Boston University School of Medicine, Clinical and Translational Science Institute, Boston, MA, USA Boston University School of Social Work, Boston, MA, USA Health Disparities Institute, University of Connecticut School of Medicine, UConn Health, Hartford, CT, USA
Charles T. Williams
Affiliation:
Boston HealthNet, Boston, MA, USA Department of Family Medicine, Boston Medical Center, Boston, MA, USA
*
Corresponding author: K. I. King Jr.; Email: kareemking@cdrewu.edu
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Abstract

Actively engaging community health centers (CHCs) in research is necessary to ensure evidence-based practices are relevant to all communities and get us closer to closing the health equity gap. We report here on the Boston HealthNet Research Collaborative, a partnership between health centers, Boston HealthNet and the Boston University Clinical, and Translational Science Institute with the explicit goal of supporting research partnerships early in the planning phase of the study lifecycle. We used the principles of community engagement guided by a collective impact framework to codesign, pilot, and evaluate a process for facilitating research partnerships. Accomplishments in the first 2 years include a web-based Toolkit with a step-by-step guide and an active learning collaborative with health center representatives to support research capacity building. The process resulted in 81 new research project partnerships across 50 individual research projects. Most research partnership requests were made later in the research lifecycle, after the planning phase. Partnership acceptance was largely driven by the Collaborative’s pre-defined Guiding Principles and Rules of Engagement. These lessons drive an iterative process to improve the longitudinal relationship between our translational research program and our CHC partners.

Information

Type
Special Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Association for Clinical and Translational Science
Figure 0

Figure 1. BHN partnership toolkit: a step-by-step guide for translational researchers who wish to conduct research with (not in) community health centers.

Figure 1

Table 1. CHC reasons for accepting and declining research requests (n = 105)

Figure 2

Figure 2. Phase of study lifecycle at the time of research partnership requests: project status and IRB status in 2022 and 2023 (n = 50). n = number of individual research projects submitted through the online partnership request form. displays the phase of the study lifecycle at the time of research request for applications submitted in 2022 and 2023, as defined by the project and IRB status. We define project status as where someone is in the cycle of their research projects (i.e. planning for submission, funding awarded but activities not started, or actively conducting research. IRB status entails where a researcher is in the IRB review process (not yet submitted, submitted but awaiting a decision, or approved). The arrow from later to early is a visual representation of how early in the research process a researcher engages with the BHN to form a partnership with a community health center. By either metric and across both years, only about 1/3 of applications were in the early stage (16 out of 50 for project status and 19 out of 50 for IRB status), with early engagement defined by project status = planning and IRB status = not submitted.

Figure 3

Figure 3. Partnership status of individual research requests across participating CHCs (n = 252). n = number of partnership requests sent to each individual health center. CHC = community health center displays the partnership status of these individual research requests across each of the participating CHCs. CHCs 1–9 correspond to the nine individual CHCs that participated in the Boston HealthNet Research Collaborative. As shown, there was variability in the number of research requests received by each CHC (ranging from 18 to 38 requests) and in their respective acceptance rates. For example, CHC7 had the lowest acceptance rate at 11% (3 out of 28 requests), while CHC5 had the highest acceptance rate at 83% (19 out of 23 requests). Of the 252 individual CHC requests that were generated from the 50 studies, 81 (32%) resulted in an acceptance.

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