Online Program

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All Times EDT

Wednesday, September 22
Wed, Sep 22, 2:15 PM - 3:30 PM
Virtual
Statistical Approaches to Clinical Trials COVID-19 Operational Impacts

Predicting the Impact of the COVID-19 Pandemic on Clinical Trial Recruitment (303487)

*Dave Lunn, GSK 

Keywords: COVID-19, clinical trial recruitment, Poisson process

The COVID-19 pandemic presented unique challenges for clinical trial recruitment, not least because of government-imposed lockdown measures restricting peoples’ movements and hence their ability to attend clinic. To assess the impact on ongoing trials, GSK’s approach was to rapidly assemble a task-force to: collate all appropriate data sources; identify a model that could provide revised predictions of recruitment targets (with appropriate uncertainty) that were adjusted for various projected COVID-19 scenarios; and produce an app for communicating these predictions to study teams. In this talk I will discuss development of the model, which attempts to explain the ‘gap’ between actual, time-varying recruitment rates during the early pandemic and the rates used to construct the original study-plan as a function of the COVID-19 lockdown measures in different countries. I will also discuss how we worked closely with study teams to identify which information was most valuable to them, and how best to convey this.