Improving Signal Detection in Rare Disease Clinical Trials, Upcoming Webinar Hosted by Xtalks

In this free webinar, the featured speaker will discuss critical considerations for data quality in rare disease clinical trials and present efficient and effective rater training approaches. Attendees will also learn about customized data quality monitoring programs.

TORONTO, Ontario (PRWEB) October 27, 2020

High-quality data are critical when seeking to measure treatment outcomes, but this is especially challenging in rare disease trials where the stakes are high. In rare disease trials, the assessments are complex, and the eligible participants are limited. When the trial sites are numerous and geographically dispersed, inter-rater variability can further compromise data quality. As such, high-quality rater training and data monitoring programs are essential for rare disease clinical trials.

Complicating the rare disease trial landscape, though, are the efficiencies required for these smaller trials. Sites are typically highly specialized, and raters participate in many similar trials simultaneously. As such, efficient rater training and data quality monitoring approaches that minimize the budgetary impact and site burden are required.

In this webinar, Dr. Pam Ventola will describe customized rater training approaches that meet sponsors' needs but also are flexible and efficient so as to be feasible for sites. Dr. Ventola will discuss a "Rater Academy" approach, where raters can be trained and certified on scales across trials as well as tailored training programs for both novice and highly experienced raters. Lastly, Dr. Ventola will describe several options for customized data-quality monitoring, including review of data, review of source documents, and centralized data collection.

Join Pamela Ventola, PhD, Cogstate's Senior Science Director of Pediatrics and Rare Disease, for a live webinar on Wednesday, November 11, 2020 at 1pm EST.

For more information or to register for this event, visit Improving Signal Detection in Rare Disease Clinical Trials.

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