Using the translational science benefits model to evaluate the impact of community-engaged programs

Assessing the long-term impact of community-engaged research (CEnR) programs remains a significant challenge in translational science, such as those conducted by Clinical and Translational Science Awards (CTSAs). The Translational Science Benefits Model (TSBM) is a framework designed to evaluate impact across four health and social domains (clinical/medical, community, economic, and political/legislative). TSBM offers a comprehensive framework for evaluating CEnR projects, as it extends beyond short-term outcomes to highlight distal impacts and sustainable benefits. Progress reports from three Cincinnati CTSA CEnR programs (Community Leaders Institute [CLI; <i>n</i> = 170], Community Health Grant [CHG; <i>n</i> = 82], and Partnership Development Grant [PDG; <i>n</i> = 21]) completed between 2010 and 2023 were coded by three reviewers using the TSBM. As expected, CEnR programs primarily demonstrated community & public health benefits. Economic, policy, and clinical benefits were also identified, further amplifying the impact of this work. The adoption of frameworks like the TSBM could lead to a more standardized approach for evaluating the impact of CEnR programs and facilitate comparisons across CTSAs. Future studies that track the impact of CEnR programs on health and social systems could provide valuable insights into the long-term benefits of these initiatives.

Authors

Institutions

Publication Details

Journal
Journal of Clinical and Translational Science
Published
2025-01-01
DOI
https://doi.org/10.1017/cts.2025.10139
Primary Topic
Health and Medical Research Impacts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using the translational science benefits model to evaluate the impact of community-engaged programs

Lori E. Crosby, Monica J. Mitchell, Stacey Gomes, Bridget Nolan Murphy et al.
Journal of Clinical and Translational Science
Health and Medical Research Impacts
article

Using the translational science benefits model to evaluate the impact of community-engaged programs

Lori E. Crosby, Monica J. Mitchell, Stacey Gomes, Bridget Nolan Murphy, Brittany L. Rosen, Farrah Jacquez, Aaron Grant
article en

Abstract

Assessing the long-term impact of community-engaged research (CEnR) programs remains a significant challenge in translational science, such as those conducted by Clinical and Translational Science Awards (CTSAs). The Translational Science Benefits Model (TSBM) is a framework designed to evaluate impact across four health and social domains (clinical/medical, community, economic, and political/legislative). TSBM offers a comprehensive framework for evaluating CEnR projects, as it extends beyond short-term outcomes to highlight distal impacts and sustainable benefits. Progress reports from three Cincinnati CTSA CEnR programs (Community Leaders Institute [CLI; <i>n</i> = 170], Community Health Grant [CHG; <i>n</i> = 82], and Partnership Development Grant [PDG; <i>n</i> = 21]) completed between 2010 and 2023 were coded by three reviewers using the TSBM. As expected, CEnR programs primarily demonstrated community & public health benefits. Economic, policy, and clinical benefits were also identified, further amplifying the impact of this work. The adoption of frameworks like the TSBM could lead to a more standardized approach for evaluating the impact of CEnR programs and facilitate comparisons across CTSAs. Future studies that track the impact of CEnR programs on health and social systems could provide valuable insights into the long-term benefits of these initiatives.

Journal of Clinical and Translational ScienceVol. 9(1)
Cincinnati Children's Hospital Medical Center (US), China Federation of Supply and Marketing Cooperatives (CN), University of Cincinnati (US), University of Cincinnati Medical Center (US)
National Institutes of Health, National Center for Advancing Translational Sciences
Openalex Percentile: Top 65%
Health and Medical Research Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.