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Research unit network (RUN) as a learning research system
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 cr...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130846/ https://www.ncbi.nlm.nih.gov/pubmed/37125056 http://dx.doi.org/10.1017/cts.2023.514 |
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author | Comellas, Alejandro P. Wangui-Verry, Jackline M. Sprenger, Kimberly J. Winokur, Patricia L. Barlow, Patrick B. Subramain, Maran |
author_facet | Comellas, Alejandro P. Wangui-Verry, Jackline M. Sprenger, Kimberly J. Winokur, Patricia L. Barlow, Patrick B. Subramain, Maran |
author_sort | Comellas, Alejandro P. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10130846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101308462023-04-27 Research unit network (RUN) as a learning research system Comellas, Alejandro P. Wangui-Verry, Jackline M. Sprenger, Kimberly J. Winokur, Patricia L. Barlow, Patrick B. Subramain, Maran J Clin Transl Sci Special Communications 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. Cambridge University Press 2023-03-27 /pmc/articles/PMC10130846/ /pubmed/37125056 http://dx.doi.org/10.1017/cts.2023.514 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Special Communications Comellas, Alejandro P. Wangui-Verry, Jackline M. Sprenger, Kimberly J. Winokur, Patricia L. Barlow, Patrick B. Subramain, Maran Research unit network (RUN) as a learning research system |
title | Research unit network (RUN) as a learning research system |
title_full | Research unit network (RUN) as a learning research system |
title_fullStr | Research unit network (RUN) as a learning research system |
title_full_unstemmed | Research unit network (RUN) as a learning research system |
title_short | Research unit network (RUN) as a learning research system |
title_sort | research unit network (run) as a learning research system |
topic | Special Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130846/ https://www.ncbi.nlm.nih.gov/pubmed/37125056 http://dx.doi.org/10.1017/cts.2023.514 |
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