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Automated Reminders Improve Feedback in Surgical Training.

Rhys Richmond1, Candice Kremer1, Samipya Kafle1

  • 1Department of Surgery, Division of Otolaryngology-Head and Neck Surgery, Yale University School of Medicine, New Haven, Connecticut.

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Summary
This summary is machine-generated.

Automated text message reminders significantly improved the timeliness and quantity of medical resident feedback. This intervention enhanced both faculty and resident satisfaction with feedback quality and frequency in otolaryngology programs.

Keywords:
automationfeedbackquality improvementresidency programssurgical training

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Area of Science:

  • Medical Education
  • Surgical Training
  • Healthcare Quality Improvement

Background:

  • Effective feedback is crucial for medical residents, especially in surgical subspecialties like otolaryngology.
  • Timeliness and frequency are key factors influencing feedback quality.
  • Discrepancies often exist between faculty and trainee perceptions of feedback.

Purpose of the Study:

  • To enhance satisfaction with feedback among faculty and residents in an otolaryngology program.
  • To evaluate the impact of an automated text message intervention on feedback delivery.

Main Methods:

  • A month-long survey and automated text message intervention were implemented in 2023.
  • Text message reminders were sent to faculty after surgical cases to prompt oral feedback and form completion.
  • Pre- and postintervention surveys assessed perceptions of the feedback system.

Main Results:

  • A 13-fold increase in completed competency-based feedback forms was observed.
  • Resident and faculty satisfaction with feedback improved, with resident satisfaction reaching statistical significance.
  • Key barriers identified included faculty forgetfulness, resident reluctance to ask for feedback, and time constraints.

Conclusions:

  • Automated reminders are effective in increasing the timeliness and quantity of feedback.
  • This study provides preliminary data for a scalable intervention to improve residency feedback nationwide.
  • Further improvements in feedback quality and frequency are potential areas for future iteration.