Hostname: page-component-76fb5796d-skm99 Total loading time: 0 Render date: 2024-04-25T14:28:42.267Z Has data issue: false hasContentIssue false

2332

Community engagement in clinical and translational research: A framework for research institutions

Published online by Cambridge University Press:  10 May 2018

Dennis P. Scanlon
Affiliation:
Penn State Clinical and Translational Science Institute, Hershey, PA, USA
Laura J. Wolf
Affiliation:
Penn State Clinical and Translational Science Institute, Hershey, PA, USA
Cynthia Chuang
Affiliation:
Penn State Clinical and Translational Science Institute, Hershey, PA, USA
Jen Kraschnewski
Affiliation:
Penn State Clinical and Translational Science Institute, Hershey, PA, USA
Eugene Lengerich
Affiliation:
Penn State Clinical and Translational Science Institute, Hershey, PA, USA
Susan McHale
Affiliation:
Penn State Clinical and Translational Science Institute, Hershey, PA, USA
Ian M. Paul
Affiliation:
Penn State Clinical and Translational Science Institute, Hershey, PA, USA
Janice Penrod
Affiliation:
Penn State Clinical and Translational Science Institute, Hershey, PA, USA
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

OBJECTIVES/SPECIFIC AIMS: Community engagement is a commonly used term, but is complex in both meaning and application. In order to help academic institutions and administrators develop infrastructure to promote and support community engagement and to help investigators work productively with communities, this analysis discusses the major components of community engagement in research on both the institutional and individual project levels as well as the interplay between them. METHODS/STUDY POPULATION: A literature synthesis conducted by a community engagement in research committee at 1 CTSA institution that examined the myriad factors related to effective community engagement in research identified across multiple disciplines was used to distill the major factors identified, assesses the interplay of the identified factors, and produce a conceptual model to help administrators and investigators apply best practices in engaging communities in clinical and translational research. RESULTS/ANTICIPATED RESULTS: This work takes a concept—community engagement in research—that is often stated and discussed, but is highly complex and challenging to implement—and identifies and discusses the multiple, interrelated factors germane to it. The model illustrates that while community engagement in research is implemented in the context of individual projects, a deep and continual interplay between individual projects and the goals, capacity, and policies of research institutions is needed for rigorous, ethical, and effective community engagement. DISCUSSION/SIGNIFICANCE OF IMPACT: Results are presented through a conceptual framework which displays the major components needed for rigorous, ethical, and effective community engagement in clinical and translational research. In addition, the conceptual framework presented will provide assistance to those developing approaches to measure and evaluate institutional readiness for community engagement in research as well as the effectiveness of individual community engagement efforts.

Type
Outcomes Research/Health Services Research/Comparative Effectiveness
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 (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2018