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Research unit network (RUN) as a learning research system
Journal article   Open access   Peer reviewed

Research unit network (RUN) as a learning research system

Alejandro P. Comellas, Jackline M. Wangui-Verry, Kimberly J. Sprenger, Patricia L. Winokur, Patrick B. Barlow and Maran Subramain
Journal of clinical and translational science, Vol.7(1), e89
03/27/2023
DOI: 10.1017/cts.2023.514
PMCID: PMC10130846
PMID: 37125056
url
https://doi.org/10.1017/cts.2023.514View
Published (Version of record) Open Access

Abstract

The clinical research units (CRUs) are one of the main spaces where both translational research and science take place. However, there is a lack of information about both best practices for CRU operations and, ultimately, benchmarks to evaluate CRU performance. The Research Unit Network (RUN) was created with the purpose to enable direct communication and collaboration among CRUs. An online survey was administered to further illustrate the functionality and impact of RUN. Thirty-one individual survey responses (39.2%) were included in the final analysis. The members value RUN monthly meetings (87.1%) as the most useful aspect of this network and CRU budgeting (67.7%) and staffing (61.3%) were the most relevant topics discussed. This is followed by EPIC – Research (58.1%), delegation of authority logs, unit signatures, and policies (51.6%), COVID-19 pandemic response (41.9%), the implementation of clinical trial management system (29.0%), and protocol deviations (19.4%). The intermediate goal of RUN is to identify best practices CRUs are establishing, implementing, and sharing these experiences with the goal to adopt them in different CRUs. The network’s long-term goal is to establish standard benchmarks that can be used for evaluating the performance of CRUs across the nation.
clinical research units CTSAtsa Implementation, Policy and Community Engagement learning research system research unit network RUN Special Communications UIOWA OA Agreement

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