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Patient-Focused Drug Development:  Rules of Engagement for eCOA and ePRO

Incorporating the patient’s voice into clinical trial technologies development to enhance participants’ experiences and achieve trial outcomes

Facilitating protocol compliance with compelling user interface (UI) and patient engagement features 
Minimizing patient burden with elegant software design 
Adhering to industry best practice recommendations

At YPrime, participant focused drug development is not treated as a checkbox—it is embedded into how eCOA solutions are designed, implemented, and supported. Our eCOA platform is protocol-tailored and informed by direct user feedback to ensure participant experiences support—not hinder—trial execution.

By aligning eCOA and ePRO implementation with PFDD principles, sponsors and sites gain greater confidence in data quality, participant compliance, and inspection readiness—while delivering a trial experience that respects the realities of patient participation.

Sources

  1. U.S. Food and Drug Administration. CDER Patient-Focused Drug Development. 
  2. Coons SJ, Eremenco S, Lundy JJ, O’Donohoe P, O’Gorman H, Malizia W. Capturing patient-reported outcome (PRO) data electronically: the past, present, and promise of ePRO measurement in clinical trials. Patient, 2015;8(4):301-309.
  3. U.S. Food and Drug Administration. Guidance for industry—Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. December 2009
  4. U.S. Food and Drug Administration. Guidance for industry: Electronic Source Data in Clinical Investigations September 2013. 
  5. Mowlem FD, Elash CA, Dumais KM, Haenel E, O’Donohoe P, Olt J, Kalpadakis-Smith AV, James B, Balestrieri G, Becker K, Newara MC, Kern S, on behalf of the Electronic Clinical Outcome Assessment (eCOA) Consortium: Best Practices for the Electronic Implementation and Migration of Patient-Reported Outcome Measures, Value in Health (2023)

Check out our other Participant Engagement Resources

about trial design, data capture, operational efficiencies, and, ultimately, solving for certainty in clinical research.

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