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Retention Unlocked: A tech-enabled operational monitoring and reporting framework to reduce early termination in clinical trials

 

Clinical trial participant medication adherence captured with advanced technology is predictive of early termination (ET). Ongoing data monitoring and effective site- and participant-interventions are needed to unlock improved retention outcomes.

 

  • Participants who are adherent with AiCure only (not including CSS central monitoring) are 17.4% less likely to early terminate compared to those who are non-adherent. 
  • Furthermore, just the first 14 days of AiCure captured medication adherence can accurately predict the likelihood of a participant completing the study. 
  • The results show CSS reduced early termination rates for adherent participants is only 7.8%. 
  • The ISCTM poster from last year (2024) already demonstrated that CSS improves medication adherence rates overall, with more participants achieving high adherence.
  • Using a 14 day lead-in period capturing adherence via the Platform would be a data-driven strategy to ensure participants who are likely to be adherent and retained are randomized.