Hostname: page-component-77c78cf97d-hf2s2 Total loading time: 0 Render date: 2026-04-30T14:17:25.877Z Has data issue: false hasContentIssue false

Engaging community in the translational process: Environmental scan of adaptive capacity and preparedness of Clinical and Translational Science Award Program hubs

Published online by Cambridge University Press:  15 June 2022

Boris B. Volkov*
Affiliation:
University of Minnesota Clinical and Translational Science Institute, Minneapolis, MN, USA Institute for Health Informatics and Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
Verónica Hoyo
Affiliation:
Northwestern University Clinical and Translational Science (NUCATS) Institute, Chicago, IL, USA Clinical and Translational Research Institute, UC San Diego, La Jolla, CA, USA
Joe Hunt
Affiliation:
Indiana Clinical and Translational Sciences Institute, Indianapolis, IN, USA
*
Address for correspondence: B. B. Volkov, PhD, Clinical and Translational Science Institute, Institute for Health Informatics, and Division of Epidemiology and Community Health, University of Minnesota, 717 Delaware Street, Minneapolis, MN 55414, USA. Email: volk0057@umn.edu.
Rights & Permissions [Opens in a new window]

Abstract

This paper is part of the Environmental Scan of Adaptive Capacity and Preparedness of Clinical and Translational Science Award (CTSA) hubs, illuminating challenges, practices, and lessons learned related to CTSA hubs’ efforts of engaging community partners to reduce the spread of the virus, address barriers to COVID-19 testing, identify treatments to improve health outcomes, and advance community participation in research. CTSA researchers, staff, and community partners collaborated to develop evidence-based, inclusive, accessible, and culturally appropriate strategies and resources helping community members stay healthy, informed, and connected during the pandemic. CTSA institutions have used various mechanisms to advance co-learning and co-sharing of knowledge, resources, tools, and experiences between academic professionals, patients, community partners, and other stakeholders. Forward-looking and adaptive decision-making structures are those that prioritize sustained relationships, mutual trust and commitment, ongoing communication, proactive identification of community concerns and needs, shared goals and decision making, as well as ample appreciation of community members and their contributions to translational research. There is a strong need for further community-engaged research and workforce training on how to build our collective and individual adaptive capacity to sustain and improve processes and outcomes of engagement with and by communities—in all aspects of translational science.

Information

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (https://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science
Figure 0

Fig. 1. Community engagement in governance at the UB CTSA (the coordinating center of the Buffalo Translational Consortium). Source:http://www.buffalo.edu/ctsi/about-us/buffalo-translational-consortium.html.

Figure 1

Table 1. Challenges for community engagement in the context of emergency and approaches to address them (derived from the AC&P E-Scan)