Evaluation and Potential Improvement of Patient Attendance at a Multidisciplinary Clinic

Esther Ochoa1, Katherine D Long1, Daehee Jeong1

  • 1Division of Plastic & Reconstructive Surgery, Washington University School of Medicine, St. Louis, MO, USA.

Insights

Predictive models can identify children at high risk of missing cleft palate and craniofacial clinic appointments. This approach aims to improve clinic attendance and patient care by addressing non-attendance factors.

Area of Science:

  • Pediatric care
  • Healthcare management

Background:

  • Multidisciplinary care is optimal for children with cleft palate and craniofacial conditions.
  • Clinic no-shows and same-day cancellations disrupt coordinated patient care.

Purpose of the Study:

  • To evaluate factors contributing to patient non-attendance in specialized pediatric clinics.
  • To develop and implement innovative interventions to increase patient attendance and clinic utilization.

Main Methods:

  • Assessed factors associated with clinic non-attendance.
  • Initiated discussions with hospital systems and electronic medical record providers.
  • Designed interventions focused on improving patient attendance.

Main Results:

  • Standard appointment reminders were insufficient in reducing no-shows.
  • A predictive risk model for patient non-attendance is being developed.
  • Stakeholder engagement is key to designing effective interventions.

Conclusions:

  • Predictive modeling offers a novel strategy to mitigate clinic non-attendance.
  • Proactive interventions can enhance patient access to essential craniofacial care.
  • Improving clinic utilization is crucial for optimizing multidisciplinary care delivery.

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