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Assessment and classification of protocol deviations

INTRODUCTION: Deviations from the approved trial protocol are common during clinical trials. They have been conventionally classified as deviations or violations, depending on their impact on the trial. METHODS: A new method has been proposed by which deviations are classified in five grades from 1...

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Autores principales: Ghooi, Ravindra Bhaskar, Bhosale, Neelambari, Wadhwani, Reena, Divate, Pathik, Divate, Uma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936072/
https://www.ncbi.nlm.nih.gov/pubmed/27453830
http://dx.doi.org/10.4103/2229-3485.184817
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author Ghooi, Ravindra Bhaskar
Bhosale, Neelambari
Wadhwani, Reena
Divate, Pathik
Divate, Uma
author_facet Ghooi, Ravindra Bhaskar
Bhosale, Neelambari
Wadhwani, Reena
Divate, Pathik
Divate, Uma
author_sort Ghooi, Ravindra Bhaskar
collection PubMed
description INTRODUCTION: Deviations from the approved trial protocol are common during clinical trials. They have been conventionally classified as deviations or violations, depending on their impact on the trial. METHODS: A new method has been proposed by which deviations are classified in five grades from 1 to 5. A deviation of Grade 1 has no impact on the subjects’ well-being or on the quality of data. At the maximum, a deviation Grade 5 leads to the death of the subject. This method of classification was applied to deviations noted in the center over the last 3 years. RESULTS: It was observed that most deviations were of Grades 1 and 2, with fewer falling in Grades 3 and 4. There were no deviations that led to the death of the subject (Grade 5). DISCUSSION: This method of classification would help trial managers decide on the action to be taken on the occurrence of deviations, which would be based on their impact.
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spelling pubmed-49360722016-07-22 Assessment and classification of protocol deviations Ghooi, Ravindra Bhaskar Bhosale, Neelambari Wadhwani, Reena Divate, Pathik Divate, Uma Perspect Clin Res Original Article INTRODUCTION: Deviations from the approved trial protocol are common during clinical trials. They have been conventionally classified as deviations or violations, depending on their impact on the trial. METHODS: A new method has been proposed by which deviations are classified in five grades from 1 to 5. A deviation of Grade 1 has no impact on the subjects’ well-being or on the quality of data. At the maximum, a deviation Grade 5 leads to the death of the subject. This method of classification was applied to deviations noted in the center over the last 3 years. RESULTS: It was observed that most deviations were of Grades 1 and 2, with fewer falling in Grades 3 and 4. There were no deviations that led to the death of the subject (Grade 5). DISCUSSION: This method of classification would help trial managers decide on the action to be taken on the occurrence of deviations, which would be based on their impact. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4936072/ /pubmed/27453830 http://dx.doi.org/10.4103/2229-3485.184817 Text en Copyright: © Perspectives in Clinical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Ghooi, Ravindra Bhaskar
Bhosale, Neelambari
Wadhwani, Reena
Divate, Pathik
Divate, Uma
Assessment and classification of protocol deviations
title Assessment and classification of protocol deviations
title_full Assessment and classification of protocol deviations
title_fullStr Assessment and classification of protocol deviations
title_full_unstemmed Assessment and classification of protocol deviations
title_short Assessment and classification of protocol deviations
title_sort assessment and classification of protocol deviations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936072/
https://www.ncbi.nlm.nih.gov/pubmed/27453830
http://dx.doi.org/10.4103/2229-3485.184817
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