Optimizes Patient Recruitment

The Core Principle

One of the most common reasons for trial failure is poor recruitment. Feasibility analysis provides data-driven estimates for enrollment, identifies potential barriers (e.g., restrictive criteria, burdensome schedules), and informs strategies to find and keep patients.

Why It's Critical

This ensures a sufficient sample size for statistical power, preventing costly delays and amendments. A trial without patients is just a theory.

Real-World Impact

A protocol for a diabetes study requires patients to attend weekly 4-hour clinic visits. Feasibility feedback from patient groups indicates this is too burdensome. The protocol is amended to include remote monitoring and bi-weekly visits, leading to a 50% increase in enrollment.