Reducing Missed Outpatient Appointments in Pediatric Urology: A Pre-Post Analysis of an Automated Text Reminder

Brian Chun1, Christine Do1, Edward C Diaz2

  • 1Division of Urology, Children's Hospital Los Angeles, Los Angeles, California.

Urology Practice
|December 1, 2025
PubMed

Insights

Automated text reminders significantly reduced no-show rates in pediatric urology clinics. This system improved appointment adherence, enhancing clinic efficiency and patient care.

Area of Science:

  • Pediatric Urology
  • Health Informatics
  • Healthcare Management

Background:

  • Missed outpatient appointments (no-shows) reduce clinic efficiency and increase healthcare costs.
  • Automated text reminders offer a scalable solution to improve appointment adherence, leveraging widespread smartphone use.

Purpose of the Study:

  • To determine the prevalence and predictors of no-shows in pediatric urology appointments.
  • To evaluate the effectiveness of an automated text reminder system in reducing no-shows.

Main Methods:

  • A retrospective analysis of 15,315 pediatric urology appointments from January to December 2023.
  • Comparison of appointment adherence rates (no-show, cancellation, rescheduling) before and after implementing text reminders.
  • Logistic regression analysis to identify predictors of no-shows, cancellations, and reschedules.

Main Results:

  • The overall no-show rate was 6.5%, with 24.1% of appointments rescheduled and 9.4% cancelled.
  • Automated text reminders were associated with a significant reduction in no-shows (OR 0.72) and reschedules (OR 0.78), but increased cancellations (OR 1.20).
  • Predictors of lower no-show rates included Spanish language, follow-up visits, and nurse visits; public insurance and early morning appointments were associated with higher no-show rates.

Conclusions:

  • Automated text reminder systems are effective in reducing no-show rates for pediatric urology appointments.
  • The system improved appointment adherence, contributing to more efficient clinic operations.
  • Understanding patient-specific and visit-specific factors can further optimize appointment management strategies.
Abstract