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Risk-Based Monitoring in Clinical Trials: Increased Adoption Throughout 2020

With the emergence of new technologies for data collection, the continued impact of the COVID-19 pandemic, and the increasing number of partially or fully decentralized clinical trials (DCTs), the importance of risk-based monitoring (RBM) and the larger risk-based quality management (RBQM) framework...

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Autores principales: Stansbury, Nicole, Barnes, Brian, Adams, Amy, Berlien, Ruth, Branco, Danilo, Brown, Debby, Butler, Paula, Garson, Lauren, Jendrasek, Debra, Manasco, Garrett, Ramirez, Nycole, Sanjuan, Nelly, Worman, Gillian, Adelfio, Anina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889871/
https://www.ncbi.nlm.nih.gov/pubmed/35235192
http://dx.doi.org/10.1007/s43441-022-00387-z
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author Stansbury, Nicole
Barnes, Brian
Adams, Amy
Berlien, Ruth
Branco, Danilo
Brown, Debby
Butler, Paula
Garson, Lauren
Jendrasek, Debra
Manasco, Garrett
Ramirez, Nycole
Sanjuan, Nelly
Worman, Gillian
Adelfio, Anina
author_facet Stansbury, Nicole
Barnes, Brian
Adams, Amy
Berlien, Ruth
Branco, Danilo
Brown, Debby
Butler, Paula
Garson, Lauren
Jendrasek, Debra
Manasco, Garrett
Ramirez, Nycole
Sanjuan, Nelly
Worman, Gillian
Adelfio, Anina
author_sort Stansbury, Nicole
collection PubMed
description With the emergence of new technologies for data collection, the continued impact of the COVID-19 pandemic, and the increasing number of partially or fully decentralized clinical trials (DCTs), the importance of risk-based monitoring (RBM) and the larger risk-based quality management (RBQM) framework in clinical trial management is increasing. RBM and RBQM focus on the detection of events or trends that impact trial quality in terms of participant safety and data integrity. In 2019, the Association of Clinical Research Organizations (ACRO) began a landscape survey of RBM/RBQM implementation in ongoing clinical trials. Initial results of this survey, representing full-year data for 2019, were reported previously. Here, we present full-year landscape data for 2020 drawn from 5,987 clinical trials ongoing at the end of 2020, including 908 new studies started that year. Of these trials, 77% implemented at least one RBM/RBQM component, an increase from 47% for studies ongoing at the end of 2019. We also observed increased implementation for three of the five RBM components included in the survey. Centralized monitoring decreased nominally in 2020 compared with 2019. Although the percentages of 2020 trials incorporating reduced source data verification (SDV) and reduced source data review (SDR) increased from 2019 to 2020, these numbers are still low considering the large percentage of trials implementing at least one RBQM component. In the current clinical trial landscape, as more DCTs are launched and new data collection technologies are implemented, there remains a pressing need for greater use of centralized monitoring coupled with reductions in SDR/SDV and, ultimately, greater adoption of RBM and RBQM.
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spelling pubmed-88898712022-03-02 Risk-Based Monitoring in Clinical Trials: Increased Adoption Throughout 2020 Stansbury, Nicole Barnes, Brian Adams, Amy Berlien, Ruth Branco, Danilo Brown, Debby Butler, Paula Garson, Lauren Jendrasek, Debra Manasco, Garrett Ramirez, Nycole Sanjuan, Nelly Worman, Gillian Adelfio, Anina Ther Innov Regul Sci Analytical Report With the emergence of new technologies for data collection, the continued impact of the COVID-19 pandemic, and the increasing number of partially or fully decentralized clinical trials (DCTs), the importance of risk-based monitoring (RBM) and the larger risk-based quality management (RBQM) framework in clinical trial management is increasing. RBM and RBQM focus on the detection of events or trends that impact trial quality in terms of participant safety and data integrity. In 2019, the Association of Clinical Research Organizations (ACRO) began a landscape survey of RBM/RBQM implementation in ongoing clinical trials. Initial results of this survey, representing full-year data for 2019, were reported previously. Here, we present full-year landscape data for 2020 drawn from 5,987 clinical trials ongoing at the end of 2020, including 908 new studies started that year. Of these trials, 77% implemented at least one RBM/RBQM component, an increase from 47% for studies ongoing at the end of 2019. We also observed increased implementation for three of the five RBM components included in the survey. Centralized monitoring decreased nominally in 2020 compared with 2019. Although the percentages of 2020 trials incorporating reduced source data verification (SDV) and reduced source data review (SDR) increased from 2019 to 2020, these numbers are still low considering the large percentage of trials implementing at least one RBQM component. In the current clinical trial landscape, as more DCTs are launched and new data collection technologies are implemented, there remains a pressing need for greater use of centralized monitoring coupled with reductions in SDR/SDV and, ultimately, greater adoption of RBM and RBQM. Springer International Publishing 2022-03-02 2022 /pmc/articles/PMC8889871/ /pubmed/35235192 http://dx.doi.org/10.1007/s43441-022-00387-z Text en © The Author(s) 2022 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
Stansbury, Nicole
Barnes, Brian
Adams, Amy
Berlien, Ruth
Branco, Danilo
Brown, Debby
Butler, Paula
Garson, Lauren
Jendrasek, Debra
Manasco, Garrett
Ramirez, Nycole
Sanjuan, Nelly
Worman, Gillian
Adelfio, Anina
Risk-Based Monitoring in Clinical Trials: Increased Adoption Throughout 2020
title Risk-Based Monitoring in Clinical Trials: Increased Adoption Throughout 2020
title_full Risk-Based Monitoring in Clinical Trials: Increased Adoption Throughout 2020
title_fullStr Risk-Based Monitoring in Clinical Trials: Increased Adoption Throughout 2020
title_full_unstemmed Risk-Based Monitoring in Clinical Trials: Increased Adoption Throughout 2020
title_short Risk-Based Monitoring in Clinical Trials: Increased Adoption Throughout 2020
title_sort risk-based monitoring in clinical trials: increased adoption throughout 2020
topic Analytical Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889871/
https://www.ncbi.nlm.nih.gov/pubmed/35235192
http://dx.doi.org/10.1007/s43441-022-00387-z
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