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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Main Authors: Ravindra Bhaskar Ghooi, Neelambari Bhosale, Reena Wadhwani, Pathik Divate, Uma Divate
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2016-01-01
Series:Perspectives in Clinical Research
Subjects:
Online Access:http://www.picronline.org/article.asp?issn=2229-3485;year=2016;volume=7;issue=3;spage=132;epage=136;aulast=Ghooi
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spelling doaj-3c2d67be6ffa41f0bed5ac8d90e239022020-11-24T23:37:14ZengWolters Kluwer Medknow PublicationsPerspectives in Clinical Research2229-34852016-01-017313213610.4103/2229-3485.184817Assessment and classification of protocol deviationsRavindra Bhaskar GhooiNeelambari BhosaleReena WadhwaniPathik DivateUma DivateIntroduction: 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.http://www.picronline.org/article.asp?issn=2229-3485;year=2016;volume=7;issue=3;spage=132;epage=136;aulast=GhooiData qualitydeviationsnoncompliancesubject protection
collection DOAJ
language English
format Article
sources DOAJ
author Ravindra Bhaskar Ghooi
Neelambari Bhosale
Reena Wadhwani
Pathik Divate
Uma Divate
spellingShingle Ravindra Bhaskar Ghooi
Neelambari Bhosale
Reena Wadhwani
Pathik Divate
Uma Divate
Assessment and classification of protocol deviations
Perspectives in Clinical Research
Data quality
deviations
noncompliance
subject protection
author_facet Ravindra Bhaskar Ghooi
Neelambari Bhosale
Reena Wadhwani
Pathik Divate
Uma Divate
author_sort Ravindra Bhaskar Ghooi
title Assessment and classification of protocol deviations
title_short 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_sort assessment and classification of protocol deviations
publisher Wolters Kluwer Medknow Publications
series Perspectives in Clinical Research
issn 2229-3485
publishDate 2016-01-01
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.
topic Data quality
deviations
noncompliance
subject protection
url http://www.picronline.org/article.asp?issn=2229-3485;year=2016;volume=7;issue=3;spage=132;epage=136;aulast=Ghooi
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AT reenawadhwani assessmentandclassificationofprotocoldeviations
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