Utilization of a Best Practice Alert (BPA) at Point-of-Care for Recruitment into a US-Based Autism Research Study

Andrea R Simon1,2,3, Kelli L Ahmed2,4, Danica L Limon2,5,6

  • 1Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.

Insights

Implementing a Best Practice Alert (BPA) in electronic health records effectively recruited pediatric patients with autism spectrum disorder for the SPARK study, showing higher participant retention.

Area of Science:

  • Pediatric Health
  • Clinical Research Informatics
  • Neurodevelopmental Disorders

Background:

  • Provider referrals are crucial for clinical research recruitment.
  • The EPIC Electronic Health Record's Best Practice Alert (BPA) system can streamline provider engagement.
  • Recruiting pediatric patients with autism spectrum disorder (ASD) presents unique challenges.

Purpose of the Study:

  • To assess the utility of an adapted BPA in the EPIC EHR for recruiting pediatric patients with ASD into the national SPARK study.
  • To evaluate the impact of BPA-driven referrals on patient enrollment and retention rates.

Main Methods:

  • A BPA was integrated into the EPIC EHR to identify and refer eligible pediatric patients with ASD for the SPARK study.
  • Patient data was collected over a one-year surveillance period.
  • Enrollment and participation completion rates were compared between BPA-referred and non-BPA-referred participants.

Main Results:

  • Out of 1203 identified patients, 223 enrolled in the SPARK study via the BPA.
  • BPA-referred participants demonstrated a higher completion rate (58.3%) compared to those not recruited via BPA (35.5%).
  • The BPA successfully engaged providers in the research referral process.

Conclusions:

  • Electronic Health Record-based BPAs are effective tools for facilitating provider engagement in research recruitment.
  • Families referred to research through their healthcare providers exhibit increased engagement and retention in studies.
  • This approach enhances the recruitment of pediatric populations with autism spectrum disorder for large-scale research initiatives.

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