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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...

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Autores principales: Getz, Kenneth, Smith, Zachary, Jain, Ananya, Krauss, Randy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
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.
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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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