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Can quality management drive evidence generation?

Recent guidance documents from international regulators emphasize the importance of thoughtful trial design and risk-based oversight in delivering reliable results. In practice, these recommendations are often implemented in a fragmented manner, reducing their effectiveness. We argue that collaborat...

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Detalles Bibliográficos
Autores principales: Meeker-O’Connell, Ann, Stewart, Ansalan, Glessner, Coleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847751/
https://www.ncbi.nlm.nih.gov/pubmed/34727786
http://dx.doi.org/10.1177/17407745211034496
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author Meeker-O’Connell, Ann
Stewart, Ansalan
Glessner, Coleen
author_facet Meeker-O’Connell, Ann
Stewart, Ansalan
Glessner, Coleen
author_sort Meeker-O’Connell, Ann
collection PubMed
description Recent guidance documents from international regulators emphasize the importance of thoughtful trial design and risk-based oversight in delivering reliable results. In practice, these recommendations are often implemented in a fragmented manner, reducing their effectiveness. We argue that collaborative, cross-stakeholder engagement that prioritizes both optimal trial design and tailored oversight are a necessary and effective approach to modernize quality management. This practice is at the core of Quality by Design, an approach that involves identifying important errors that could undermine trial credibility or participant safety and addressing them proactively. While Quality by Design is well suited for clinical trials supporting regulatory approval of a new medicinal product, we describe how the approach is equally relevant for pragmatic trials, including those conducted in the context of a pandemic.
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spelling pubmed-88477512022-02-17 Can quality management drive evidence generation? Meeker-O’Connell, Ann Stewart, Ansalan Glessner, Coleen Clin Trials Perspective Recent guidance documents from international regulators emphasize the importance of thoughtful trial design and risk-based oversight in delivering reliable results. In practice, these recommendations are often implemented in a fragmented manner, reducing their effectiveness. We argue that collaborative, cross-stakeholder engagement that prioritizes both optimal trial design and tailored oversight are a necessary and effective approach to modernize quality management. This practice is at the core of Quality by Design, an approach that involves identifying important errors that could undermine trial credibility or participant safety and addressing them proactively. While Quality by Design is well suited for clinical trials supporting regulatory approval of a new medicinal product, we describe how the approach is equally relevant for pragmatic trials, including those conducted in the context of a pandemic. SAGE Publications 2021-11-02 2022-02 /pmc/articles/PMC8847751/ /pubmed/34727786 http://dx.doi.org/10.1177/17407745211034496 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Perspective
Meeker-O’Connell, Ann
Stewart, Ansalan
Glessner, Coleen
Can quality management drive evidence generation?
title Can quality management drive evidence generation?
title_full Can quality management drive evidence generation?
title_fullStr Can quality management drive evidence generation?
title_full_unstemmed Can quality management drive evidence generation?
title_short Can quality management drive evidence generation?
title_sort can quality management drive evidence generation?
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847751/
https://www.ncbi.nlm.nih.gov/pubmed/34727786
http://dx.doi.org/10.1177/17407745211034496
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