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Risk-Based Monitoring in Clinical Trials: Past, Present, and Future

Risk-based monitoring (RBM) is a powerful tool for efficiently ensuring patient safety and data integrity in a clinical trial, enhancing overall trial quality. To better understand the state of RBM implementation across the clinical trial industry, the Association of Clinical Research Organizations...

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Autores principales: Barnes, Brian, Stansbury, Nicole, Brown, Debby, Garson, Lauren, Gerard, Geoff, Piccoli, Nickolas, Jendrasek, Debra, May, Nick, Castillo, Vanesa, Adelfio, Anina, Ramirez, Nycole, McSweeney, Andrea, Berlien, Ruth, Butler, Paula Jo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082746/
https://www.ncbi.nlm.nih.gov/pubmed/33914298
http://dx.doi.org/10.1007/s43441-021-00295-8
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author Barnes, Brian
Stansbury, Nicole
Brown, Debby
Garson, Lauren
Gerard, Geoff
Piccoli, Nickolas
Jendrasek, Debra
May, Nick
Castillo, Vanesa
Adelfio, Anina
Ramirez, Nycole
McSweeney, Andrea
Berlien, Ruth
Butler, Paula Jo
author_facet Barnes, Brian
Stansbury, Nicole
Brown, Debby
Garson, Lauren
Gerard, Geoff
Piccoli, Nickolas
Jendrasek, Debra
May, Nick
Castillo, Vanesa
Adelfio, Anina
Ramirez, Nycole
McSweeney, Andrea
Berlien, Ruth
Butler, Paula Jo
author_sort Barnes, Brian
collection PubMed
description Risk-based monitoring (RBM) is a powerful tool for efficiently ensuring patient safety and data integrity in a clinical trial, enhancing overall trial quality. To better understand the state of RBM implementation across the clinical trial industry, the Association of Clinical Research Organizations (ACRO) conducted a landscape survey among its member companies across 6,513 clinical trials ongoing at the end of 2019. Of these trials, 22% included at least 1 of the 5 RBM components: key risk indicators (KRIs), centralized monitoring, off-site/remote-site monitoring, reduced source data verification (SDV), and reduced source document review (SDR). The implementation rates for the individual RBM components ranged 8%–19%, with the most frequently implemented component being centralized monitoring and the least frequently implemented being reduced SDR. When the COVID-19 pandemic emerged in early 2020, additional data were collected to assess its impact on trial monitoring, focusing specifically on trials switching from on-site monitoring to off-site/remote-site monitoring. These mid-pandemic data show that the vast majority of monitoring visits were on-site in February 2020, but an even higher percentage were off-site in April, corresponding with the first peak of the pandemic. Despite this shift, similar numbers of non-COVID-related protocol deviations were detected from February through June, suggesting little or no reduction in monitoring effectiveness. The pre- and mid-pandemic data provide two very different snapshots of RBM implementation, but both support the need to promote adoption of this approach while also highlighting an opportunity to capitalize on the recent shift toward greater RBM uptake in a post-pandemic environment.
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spelling pubmed-80827462021-04-29 Risk-Based Monitoring in Clinical Trials: Past, Present, and Future Barnes, Brian Stansbury, Nicole Brown, Debby Garson, Lauren Gerard, Geoff Piccoli, Nickolas Jendrasek, Debra May, Nick Castillo, Vanesa Adelfio, Anina Ramirez, Nycole McSweeney, Andrea Berlien, Ruth Butler, Paula Jo Ther Innov Regul Sci Analytical Report Risk-based monitoring (RBM) is a powerful tool for efficiently ensuring patient safety and data integrity in a clinical trial, enhancing overall trial quality. To better understand the state of RBM implementation across the clinical trial industry, the Association of Clinical Research Organizations (ACRO) conducted a landscape survey among its member companies across 6,513 clinical trials ongoing at the end of 2019. Of these trials, 22% included at least 1 of the 5 RBM components: key risk indicators (KRIs), centralized monitoring, off-site/remote-site monitoring, reduced source data verification (SDV), and reduced source document review (SDR). The implementation rates for the individual RBM components ranged 8%–19%, with the most frequently implemented component being centralized monitoring and the least frequently implemented being reduced SDR. When the COVID-19 pandemic emerged in early 2020, additional data were collected to assess its impact on trial monitoring, focusing specifically on trials switching from on-site monitoring to off-site/remote-site monitoring. These mid-pandemic data show that the vast majority of monitoring visits were on-site in February 2020, but an even higher percentage were off-site in April, corresponding with the first peak of the pandemic. Despite this shift, similar numbers of non-COVID-related protocol deviations were detected from February through June, suggesting little or no reduction in monitoring effectiveness. The pre- and mid-pandemic data provide two very different snapshots of RBM implementation, but both support the need to promote adoption of this approach while also highlighting an opportunity to capitalize on the recent shift toward greater RBM uptake in a post-pandemic environment. Springer International Publishing 2021-04-29 2021 /pmc/articles/PMC8082746/ /pubmed/33914298 http://dx.doi.org/10.1007/s43441-021-00295-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Analytical Report
Barnes, Brian
Stansbury, Nicole
Brown, Debby
Garson, Lauren
Gerard, Geoff
Piccoli, Nickolas
Jendrasek, Debra
May, Nick
Castillo, Vanesa
Adelfio, Anina
Ramirez, Nycole
McSweeney, Andrea
Berlien, Ruth
Butler, Paula Jo
Risk-Based Monitoring in Clinical Trials: Past, Present, and Future
title Risk-Based Monitoring in Clinical Trials: Past, Present, and Future
title_full Risk-Based Monitoring in Clinical Trials: Past, Present, and Future
title_fullStr Risk-Based Monitoring in Clinical Trials: Past, Present, and Future
title_full_unstemmed Risk-Based Monitoring in Clinical Trials: Past, Present, and Future
title_short Risk-Based Monitoring in Clinical Trials: Past, Present, and Future
title_sort risk-based monitoring in clinical trials: past, present, and future
topic Analytical Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082746/
https://www.ncbi.nlm.nih.gov/pubmed/33914298
http://dx.doi.org/10.1007/s43441-021-00295-8
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