Diverse Representation
Accelerated Enrollment
Trust Was Key: Pediatric allergen trials face unique hurdles, from engaging parents of young participants to addressing the emotional weight of managing childhood allergies. These trials require a deep understanding of not just the medical condition but also the psychological and logistical barriers families face.
Large Scale Recruitment: Ready. Set. Food! had spent years thoughtfully designing this trial, but needed a decentralized approach to reach their enrollment goal of 1,100 participants. The EASE trial explores how early and consistent allergen introduction can address longstanding challenges parents face, such as sustaining allergen feeding and managing associated costs. Recruitment also needed total enrollment to be both ethnically and geographically diverse to provide true-to-life representation of the real world consumer base Ready. Set. Food! serves.
A Message That Resonates: Messaging was one of the first things we wanted to get aligned with. We knew finding participants wasn’t the challenge—finding the right participants was. Our digital specialists prioritized creating visuals and messaging that would immediately connect with target audiences, assuring parents they weren’t alone and that treatment was available. Our core messaging was split into three main themes:
Analyzing Disqualification Data: Despite a high submission rate (24.4%) one of the challenges we encountered was an unusually high number of disqualified referrals.
Optimizing Patient Re-Engagement: We identified a frequent disqualification was due to age (8-10 weeks) so we scheduled re-invites once submissions were of qualifying age (11-19 weeks). In total, we converted 60% of those disqualifications into qualified referrals.
End-to-End Enrollment: By owning every step of the enrollment process, 1nHealth was able to help deliver successful recruitment two months ahead of schedule. We’re proud to contribute towards the advancement of research on early allergens to improve infant health outcomes and reduce healthcare costs around the world, all while maintaining the highest standards of integrity and data quality throughout every trial.
