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Improving Risk Assessment in Clinical Trials: Toward a Systematic Risk-Based Monitoring Approach

Regulatory authorities have encouraged the usage of a monitoring (RBM) system in clinical trials before trial initiation for detection of potential risks and inclusion of a mitigation plan in the monitoring strategy. Several RBM tools were developed after the International Council for Harmonization...

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Autores principales: Fneish, Firas, Schaarschmidt, Frank, Fortwengel, Gerhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498219/
https://www.ncbi.nlm.nih.gov/pubmed/34646404
http://dx.doi.org/10.1016/j.curtheres.2021.100643
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author Fneish, Firas
Schaarschmidt, Frank
Fortwengel, Gerhard
author_facet Fneish, Firas
Schaarschmidt, Frank
Fortwengel, Gerhard
author_sort Fneish, Firas
collection PubMed
description Regulatory authorities have encouraged the usage of a monitoring (RBM) system in clinical trials before trial initiation for detection of potential risks and inclusion of a mitigation plan in the monitoring strategy. Several RBM tools were developed after the International Council for Harmonization gave sponsors the flexibility to initiate an approach to enhance quality management in a clinical trial. However, various studies have demonstrated the need for improvement of the available RBM tools as each does not provide a comprehensive overview of the characteristics, focus, and application. This research lays out a rationale for a risk methodology assessment (RMA) within the RBM system. The core purpose of RMA is to deliver a scientifically based evaluation and decision of any potential risk in a clinical trial. Thereby, a monitoring plan can be developed to elude prior identified risk outcome. To demonstrate RMA's theoretical approach in practice, a Shiny web application (R Foundation for Statistical Computing) was designed to describe the assessment process of risk analysis and visualization tools that eventually aid in focusing monitoring activities. RMA focuses on the identification of an individual risk and visualizes its weight on the trial. The scoring algorithm of the presented approach computes the assessment of the individual risk in a radar plot and computes the overall score of the trial. Moreover, RMA's novelty lies in its ability to decrease biased decision making during risk assessment by categorizing risk influence and detectability; a characteristic pivotal to serve RBM in assessing risks, and in contributing to a better understanding in the monitoring technique necessary for developing a functional monitoring plan. Future research should focus on validating the power of RMAs to demonstrate its efficiency. This would facilitate the process of characterizing the strengths and weaknesses of RMA in practice.
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spelling pubmed-84982192021-10-12 Improving Risk Assessment in Clinical Trials: Toward a Systematic Risk-Based Monitoring Approach Fneish, Firas Schaarschmidt, Frank Fortwengel, Gerhard Curr Ther Res Clin Exp Short Communication Regulatory authorities have encouraged the usage of a monitoring (RBM) system in clinical trials before trial initiation for detection of potential risks and inclusion of a mitigation plan in the monitoring strategy. Several RBM tools were developed after the International Council for Harmonization gave sponsors the flexibility to initiate an approach to enhance quality management in a clinical trial. However, various studies have demonstrated the need for improvement of the available RBM tools as each does not provide a comprehensive overview of the characteristics, focus, and application. This research lays out a rationale for a risk methodology assessment (RMA) within the RBM system. The core purpose of RMA is to deliver a scientifically based evaluation and decision of any potential risk in a clinical trial. Thereby, a monitoring plan can be developed to elude prior identified risk outcome. To demonstrate RMA's theoretical approach in practice, a Shiny web application (R Foundation for Statistical Computing) was designed to describe the assessment process of risk analysis and visualization tools that eventually aid in focusing monitoring activities. RMA focuses on the identification of an individual risk and visualizes its weight on the trial. The scoring algorithm of the presented approach computes the assessment of the individual risk in a radar plot and computes the overall score of the trial. Moreover, RMA's novelty lies in its ability to decrease biased decision making during risk assessment by categorizing risk influence and detectability; a characteristic pivotal to serve RBM in assessing risks, and in contributing to a better understanding in the monitoring technique necessary for developing a functional monitoring plan. Future research should focus on validating the power of RMAs to demonstrate its efficiency. This would facilitate the process of characterizing the strengths and weaknesses of RMA in practice. Elsevier 2021-08-28 /pmc/articles/PMC8498219/ /pubmed/34646404 http://dx.doi.org/10.1016/j.curtheres.2021.100643 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Short Communication
Fneish, Firas
Schaarschmidt, Frank
Fortwengel, Gerhard
Improving Risk Assessment in Clinical Trials: Toward a Systematic Risk-Based Monitoring Approach
title Improving Risk Assessment in Clinical Trials: Toward a Systematic Risk-Based Monitoring Approach
title_full Improving Risk Assessment in Clinical Trials: Toward a Systematic Risk-Based Monitoring Approach
title_fullStr Improving Risk Assessment in Clinical Trials: Toward a Systematic Risk-Based Monitoring Approach
title_full_unstemmed Improving Risk Assessment in Clinical Trials: Toward a Systematic Risk-Based Monitoring Approach
title_short Improving Risk Assessment in Clinical Trials: Toward a Systematic Risk-Based Monitoring Approach
title_sort improving risk assessment in clinical trials: toward a systematic risk-based monitoring approach
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498219/
https://www.ncbi.nlm.nih.gov/pubmed/34646404
http://dx.doi.org/10.1016/j.curtheres.2021.100643
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