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An open-source system for efficient clinical trial support: The COMET study experience

Exercise clinical trials are complex, logistically burdensome, and require a well-coordinated multi-disciplinary approach. Challenges include managing, curating, and reporting on many disparate information sources, while remaining responsive to a variety of stakeholders. The Combined Exercise Trial...

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Detalles Bibliográficos
Autores principales: Clutton, Jonathan, Montgomery, Robert Neal, Mudaranthakam, Dinesh Pal, Blocker, Erin M., Shaw, Ashley R., Szabo Reed, Amanda N., Vidoni, Eric D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681164/
https://www.ncbi.nlm.nih.gov/pubmed/38011138
http://dx.doi.org/10.1371/journal.pone.0293874
Descripción
Sumario:Exercise clinical trials are complex, logistically burdensome, and require a well-coordinated multi-disciplinary approach. Challenges include managing, curating, and reporting on many disparate information sources, while remaining responsive to a variety of stakeholders. The Combined Exercise Trial (COMET, NCT04848038) is a one-year comparison of three exercise modalities delivered in the community. Target enrollment is 280 individuals over 4 years. To support rigorous execution of COMET, the study team has developed a suite of scripts and dashboards to assist study stakeholders in each of their various functions. The result is a highly automated study system that preserves rigor, increases communication, and reduces staff burden. This manuscript describes system considerations and the COMET approach to data management and use, with a goal of encouraging further development and adaptation by other study teams in various fields.