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A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data
Monitoring of clinical trials is critical to the protection of human subjects and the conduct of high-quality research. Even though the adoption of risk-based monitoring (RBM) has been suggested for many years, the RBM approach has been less widespread than expected. Centralized monitoring is one of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664950/ https://www.ncbi.nlm.nih.gov/pubmed/37992026 http://dx.doi.org/10.1371/journal.pone.0294412 |
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author | Daher, André Castro-Alves, Júlio Amparo, Leandro Pacheco de Moraes, Natalia Araújo dos Santos, Thaís Regina Gram dos Santos, Karla Regina Siqueira do Valle, Cristiane Hermoso, Maria Catoia Varela, Margareth Correa Oliveira, Rodrigo |
author_facet | Daher, André Castro-Alves, Júlio Amparo, Leandro Pacheco de Moraes, Natalia Araújo dos Santos, Thaís Regina Gram dos Santos, Karla Regina Siqueira do Valle, Cristiane Hermoso, Maria Catoia Varela, Margareth Correa Oliveira, Rodrigo |
author_sort | Daher, André |
collection | PubMed |
description | Monitoring of clinical trials is critical to the protection of human subjects and the conduct of high-quality research. Even though the adoption of risk-based monitoring (RBM) has been suggested for many years, the RBM approach has been less widespread than expected. Centralized monitoring is one of the RMB pillars, together with remote-site monitoring visits, reduced Source Data Verification (SDV) and Source Document Reviews (SDR). The COVID-19 pandemic promoted disruptions in the conduction of clinical trials, as on-site monitoring visits were adjourned. In this context, the transition to RBM by all actors involved in clinical trials has been encouraged. In order to ensure the highest quality of data within a COVID-19 clinical trial, a centralized monitoring tool alongside Case Report Forms (CRFs) and synchronous automated routines were developed at the clinical research platform, Fiocruz, Brazilian Ministry of Health. This paper describes how these tools were developed, their features, advantages, and limitations. The software codes, and the CRFs are available at the Fiocruz Data Repository for Research—Arca Dados, reaffirming Fiocruz’s commitment to Open Science practices. |
format | Online Article Text |
id | pubmed-10664950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106649502023-11-22 A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data Daher, André Castro-Alves, Júlio Amparo, Leandro Pacheco de Moraes, Natalia Araújo dos Santos, Thaís Regina Gram dos Santos, Karla Regina Siqueira do Valle, Cristiane Hermoso, Maria Catoia Varela, Margareth Correa Oliveira, Rodrigo PLoS One Research Article Monitoring of clinical trials is critical to the protection of human subjects and the conduct of high-quality research. Even though the adoption of risk-based monitoring (RBM) has been suggested for many years, the RBM approach has been less widespread than expected. Centralized monitoring is one of the RMB pillars, together with remote-site monitoring visits, reduced Source Data Verification (SDV) and Source Document Reviews (SDR). The COVID-19 pandemic promoted disruptions in the conduction of clinical trials, as on-site monitoring visits were adjourned. In this context, the transition to RBM by all actors involved in clinical trials has been encouraged. In order to ensure the highest quality of data within a COVID-19 clinical trial, a centralized monitoring tool alongside Case Report Forms (CRFs) and synchronous automated routines were developed at the clinical research platform, Fiocruz, Brazilian Ministry of Health. This paper describes how these tools were developed, their features, advantages, and limitations. The software codes, and the CRFs are available at the Fiocruz Data Repository for Research—Arca Dados, reaffirming Fiocruz’s commitment to Open Science practices. Public Library of Science 2023-11-22 /pmc/articles/PMC10664950/ /pubmed/37992026 http://dx.doi.org/10.1371/journal.pone.0294412 Text en © 2023 Daher et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Daher, André Castro-Alves, Júlio Amparo, Leandro Pacheco de Moraes, Natalia Araújo dos Santos, Thaís Regina Gram dos Santos, Karla Regina Siqueira do Valle, Cristiane Hermoso, Maria Catoia Varela, Margareth Correa Oliveira, Rodrigo A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data |
title | A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data |
title_full | A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data |
title_fullStr | A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data |
title_full_unstemmed | A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data |
title_short | A code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data |
title_sort | code for clinical trials centralized monitoring, sharing open-science solutions to high-quality data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664950/ https://www.ncbi.nlm.nih.gov/pubmed/37992026 http://dx.doi.org/10.1371/journal.pone.0294412 |
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