Kristen S Gibbons

University of Queensland
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Articles (11)

Background/Aims Regulatory guidelines recommend that sponsors develop a risk-based approach to monitoring clinical trials. However, there is a lack of evidence to guide the effective implementation of monitoring activities encompassed in this approach. The aim of this study was to assess the efficiency and impact of the risk-based monitoring approach used for a multicentre randomised controlled trial comparing treatments in paediatric patients undergoing cardiac bypass surgery. Methods This is a secondary analysis of data from a randomised controlled trial that implemented targeted source data verification as part of the risk-based monitoring approach. Monitoring duration and source to database error rates were calculated across the monitored trial dataset. The monitored and unmonitored trial dataset, and simulated trial datasets with differing degrees of source data verification and cohort sizes were compared for their effect on trial outcomes. Results In total, 106,749 critical data points across 1,282 participants were verified from source data either remotely or on-site during the trial. The total time spent monitoring was 365 hours, with a median (interquartile range) of 10 (7, 16) minutes per participant. An overall source to database error rate of 3.1% was found, and this did not differ between treatment groups. A low rate of error was found for all outcomes undergoing 100% source data verification, with the exception of two secondary outcomes with error rates >10%. Minimal variation in trial outcomes were found between the unmonitored and monitored datasets. Reduced degrees of source data verification and reduced cohort sizes assessed using simulated trial datasets had minimal impact on trial outcomes. Conclusions Targeted source data verification of data critical to trial outcomes, which carried with it a substantial time investment, did not have an impact on study outcomes in this trial. This evaluation of the cost-effectiveness of targeted source data verification contributes to the evidence-base regarding the context where reduced emphasis should be placed on source data verification as the foremost monitoring activity.

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

Collaborators (9)

Debbie Long

Queensland University of Technology

AUSTRALIA
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Karina Charles

The University of Queensland

AUSTRALIA
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Melanie Jessup

University of Queensland

AUSTRALIA
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Shane George

-

AUSTRALIA
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Professor Warwick Butt

Adjunct Professor

MONASH UNIVERSITY

AUSTRALIA
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Brenda Gannon

University of Queensland

AUSTRALIA
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Adrian C Mattke

-

AUSTRALIA
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Antje Blumenthal

University of Queensland

AUSTRALIA
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Carmela Pestell

University of Western Australia

AUSTRALIA
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