Recruitment and retention may appear to be simplistic in their primary functions. However, for these two processes to be successful, they must be applied in a way that resonates with the individuals that are stepping up to participate, whether that be out of a desire to impact the health of others or to provide treatment options for their own health condition. By adding people to the equation, we are adding variables of infinite complexity. Thus, an absence of process or lack of experience in one area can significantly affect others, leading to a cascade of problems that undermine recruitment and retention plans.
Making the Grade: Registries as Sources of Regulatory-Grade Real-World Evidence (RWE)
February 13th 2025Dr. Peter Wahl, MLA, MS, ScD, VP and Global Head of Scientific Affairs at CorEvitas, part of the PPD™ clinical research business of Thermo Fisher Scientific, discusses the critical role of protocol-driven registries in generating regulatory grade RWE to serve multiple and evolving evidence needs across the drug development life cycle. He covers key considerations for selecting the right type of registry, explains why registry data is the gold standard in RWD, and how it contextualizes safety and effectiveness to fulfill FDA and EMA post-marketing requirements.
Optimizing Phase III Oncology Trial Recruitment with Data-Driven Insights
February 3rd 2025A pharmaceutical company aimed to launch a Phase III clinical trial for a new oncology drug, focusing on efficient and effective patient recruitment across diverse regions. They evaluated patient populations by analyzing demographics, social determinants of health, and geography. Investigator profiling included practice details, affiliations, referral networks, and clinical trial experience. The final step involved selecting and extracting target lists for implementation.
Data-Driven Insights can Optimize Clinical Trial Site Selection
February 3rd 2025Clinical trials are crucial for drug development but often face delays due to poor site selection, which can lead to protocol violations, poor data quality, and increased costs. Ninety percent of clinical trials fail to meet their timelines, and issues like inadequate staffing and patient recruitment are significant challenges. Traditional site selection methods are inefficient, and the COVID-19 pandemic has further complicated the process. Data-driven insights can optimize site selection by evaluating current data on patient populations, investigators, and site capabilities.