Literature DB >> 21730082

Monitoring the quality of conduct of clinical trials: a survey of current practices.

Briggs W Morrison1, Chrissy J Cochran, Jennifer Giangrande White, Joan Harley, Cynthia F Kleppinger, An Liu, Jules T Mitchel, David F Nickerson, Cynthia R Zacharias, Judith M Kramer, James D Neaton.   

Abstract

BACKGROUND: There is a little empirical evidence to determine which, if any, monitoring practices best achieve the goals of trial monitoring set forth in ICH E6 under the variable circumstances of different clinical trial settings.
PURPOSE: The purpose of this project was to describe current methods of monitoring clinical trials and to explore the rationale for the use of those methods.
METHODS: An electronic survey of known monitoring practices was developed and sent to over 200 organizations involved in conducting clinical research. The survey collected information on institutional demographics, methods of overall study oversight, use of risk-based monitoring and factors that influence assessments of risk, and details on quality assurance and monitoring practices.
RESULTS: Seventy-nine organizations completed the survey; our analysis included the 65 organizations that indicated they perform clinical trials. Data from the survey indicate that a wide variety of monitoring practices are currently being employed. Eighty-three percent of respondents use centrally available data to evaluate site performance, but only 12% of respondents always or frequently used centralized monitoring to replace on-site visits. Eighty-seven percent of respondents indicated that they always performed on-site visits. This varied by type of organization, with 31% of academic coordinating centers/cooperative groups/government organizations always performing on-site monitoring visits versus 84% of other organizations. The rationale for using a specific monitoring approach does not appear to be based on empirical evidence. Fifty-four percent of respondents stated that 'usual practice' determined the frequency with which they conducted on-site monitoring visits. LIMITATIONS: The overall response rate to our survey was only 30%; thus, we may not have captured the full variance of current monitoring practices, and our responding sample may not be representative.
CONCLUSION: These findings underscore the necessity of research to provide an evidence base for monitoring practice.

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Year:  2011        PMID: 21730082     DOI: 10.1177/1740774511402703

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  34 in total

Review 1.  Data-driven risk identification in phase III clinical trials using central statistical monitoring.

Authors:  Catherine Timmermans; David Venet; Tomasz Burzykowski
Journal:  Int J Clin Oncol       Date:  2015-08-02       Impact factor: 3.402

2.  Statistical monitoring of data quality and consistency in the Stomach Cancer Adjuvant Multi-institutional Trial Group Trial.

Authors:  Catherine Timmermans; Erik Doffagne; David Venet; Lieven Desmet; Catherine Legrand; Tomasz Burzykowski; Marc Buyse
Journal:  Gastric Cancer       Date:  2015-08-23       Impact factor: 7.370

3.  Data fraud in clinical trials.

Authors:  Stephen L George; Marc Buyse
Journal:  Clin Investig (Lond)       Date:  2015

4.  Proceedings of the University of Pennsylvania 5th annual conference on statistical issues in clinical trials: emerging statistical issues in biomarker validation for clinical trials.

Authors:  Jonas H Ellenberg; Susan S Ellenberg
Journal:  Clin Trials       Date:  2013-10       Impact factor: 2.486

5.  How do clinical research coordinators learn Good Clinical Practice? A mixed-methods study of factors that predict uptake of knowledge.

Authors:  Jessica T Mozersky; Alison L Antes; Kari Baldwin; Michelle Jenkerson; James M DuBois
Journal:  Clin Trials       Date:  2020-01-27       Impact factor: 2.486

6.  Lessons learned: Infrastructure development and financial management for large, publicly funded, international trials.

Authors:  Gregg S Larson; Cate Carey; Jesper Grarup; Fleur Hudson; Karen Sachi; Michael J Vjecha; Fred Gordin
Journal:  Clin Trials       Date:  2016-02-08       Impact factor: 2.486

7.  Impact of source data verification on data quality in clinical trials: an empirical post hoc analysis of three phase 3 randomized clinical trials.

Authors:  Jeppe Ragnar Andersen; Inger Byrjalsen; Asger Bihlet; Faidra Kalakou; Hans Christian Hoeck; Gitte Hansen; Henrik Bo Hansen; Morten Asser Karsdal; Bente Juel Riis
Journal:  Br J Clin Pharmacol       Date:  2015-04       Impact factor: 4.335

8.  Defining and Developing a Generic Framework for Monitoring Data Quality in Clinical Research.

Authors:  Miss Lauren Houston; A/Prof Ping Yu; Dr Allison Martin; Dr Yasmine Probst
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

9.  INVESTIGATING THE EFFICACY OF CLINICAL TRIAL MONITORING STRATEGIES: Design and Implementation of the Cluster Randomized START Monitoring Substudy.

Authors:  Katherine Huppler Hullsiek; Jonathan M Kagan; Nicole Engen; Jesper Grarup; Fleur Hudson; Eileen T Denning; Catherine Carey; David Courtney-Rodgers; Elizabeth B Finley; Per O Jansson; Mary T Pearson; Dwight E Peavy; Waldo H Belloso
Journal:  Ther Innov Regul Sci       Date:  2015-03-01       Impact factor: 1.778

10.  Ensuring participant safety and trial integrity with clinical trials oversight.

Authors:  Catherine Godfrey; Manizhe Payton; Sybil Tasker; Scott Proestel; Jeffrey T Schouten
Journal:  J Acquir Immune Defic Syndr       Date:  2014-01-01       Impact factor: 3.731

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