Perceived study burden is the main cause of suitable patients deciding not to participate in a study, which can greatly impact recruitment timelines, retention levels and ultimately clinical trial success. By using data-driven methodology to measure and assess the patient burden of a given protocol, organizations can effectively evaluate critical risk areas of high patient burden when planning clinical trials and determine how to act on those risks, resulting in patient-centered trial design as well as greater study team awareness around areas of patient recruitment or retention risk.
View this presentation by Joel Roberts from our Site & Patient Access team to learn how to utilize patient burden data to adapt protocol or adequately mitigate potential risks, and support increased enrollment and retention in clinical studies.
