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Benchmarking Protocol Deviations and Their Variation by Major Disease Categories
BACKGROUND: Little to no data exist quantifying and benchmarking the magnitude of protocol deviation experience. METHODS: Nearly two-dozen companies provided the Tufts Center for the Study of Drug Development (Tufts CSDD) with data on the design and the performance of 187 protocols. RESULTS: The res...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979478/ https://www.ncbi.nlm.nih.gov/pubmed/35378712 http://dx.doi.org/10.1007/s43441-022-00401-4 |
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author | Getz, Kenneth Smith, Zachary Jain, Ananya Krauss, Randy |
author_facet | Getz, Kenneth Smith, Zachary Jain, Ananya Krauss, Randy |
author_sort | Getz, Kenneth |
collection | PubMed |
description | BACKGROUND: Little to no data exist quantifying and benchmarking the magnitude of protocol deviation experience. METHODS: Nearly two-dozen companies provided the Tufts Center for the Study of Drug Development (Tufts CSDD) with data on the design and the performance of 187 protocols. RESULTS: The results of this working group study show that phase II and III protocols have a mean total of 75 and 119 protocol deviations, respectively, involving nearly one-third of all patients enrolled in each clinical trial. Oncology clinical trials have the highest relative mean number of protocol deviations affecting more than 40% of patients enrolled in each trial. The number of endpoints, the number of procedures per visit, and the number of countries were modestly positively associated with and predictive of, the incidence of deviations per protocol. A strong positive relationship was shown between the number of investigative sites and the number of protocol deviations. CONCLUSION: The results of this initial study provide useful measures that sponsor companies can use to benchmark their own protocol deviation experience, identify factors most associated with protocol deviations, and determine whether remediation is warranted. |
format | Online Article Text |
id | pubmed-8979478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-89794782022-04-05 Benchmarking Protocol Deviations and Their Variation by Major Disease Categories Getz, Kenneth Smith, Zachary Jain, Ananya Krauss, Randy Ther Innov Regul Sci Original Research BACKGROUND: Little to no data exist quantifying and benchmarking the magnitude of protocol deviation experience. METHODS: Nearly two-dozen companies provided the Tufts Center for the Study of Drug Development (Tufts CSDD) with data on the design and the performance of 187 protocols. RESULTS: The results of this working group study show that phase II and III protocols have a mean total of 75 and 119 protocol deviations, respectively, involving nearly one-third of all patients enrolled in each clinical trial. Oncology clinical trials have the highest relative mean number of protocol deviations affecting more than 40% of patients enrolled in each trial. The number of endpoints, the number of procedures per visit, and the number of countries were modestly positively associated with and predictive of, the incidence of deviations per protocol. A strong positive relationship was shown between the number of investigative sites and the number of protocol deviations. CONCLUSION: The results of this initial study provide useful measures that sponsor companies can use to benchmark their own protocol deviation experience, identify factors most associated with protocol deviations, and determine whether remediation is warranted. Springer International Publishing 2022-04-04 2022 /pmc/articles/PMC8979478/ /pubmed/35378712 http://dx.doi.org/10.1007/s43441-022-00401-4 Text en © The Drug Information Association, Inc 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Research Getz, Kenneth Smith, Zachary Jain, Ananya Krauss, Randy Benchmarking Protocol Deviations and Their Variation by Major Disease Categories |
title | Benchmarking Protocol Deviations and Their Variation by Major Disease Categories |
title_full | Benchmarking Protocol Deviations and Their Variation by Major Disease Categories |
title_fullStr | Benchmarking Protocol Deviations and Their Variation by Major Disease Categories |
title_full_unstemmed | Benchmarking Protocol Deviations and Their Variation by Major Disease Categories |
title_short | Benchmarking Protocol Deviations and Their Variation by Major Disease Categories |
title_sort | benchmarking protocol deviations and their variation by major disease categories |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979478/ https://www.ncbi.nlm.nih.gov/pubmed/35378712 http://dx.doi.org/10.1007/s43441-022-00401-4 |
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