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A Novel, Combined Student and Preceptor Professional Development Session for Optimizing Feedback: Protocol for a

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Summary

This study explores a new feedback training for medical students and preceptors, aiming to improve communication and relationships. The relational feedback intervention enhances the quality and quantity of feedback in clinical education.

Keywords:
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Area of Science:

  • Medical Education
  • Healthcare Professional Development
  • Clinical Training

Background:

  • Feedback is crucial for medical learners, yet research often overlooks the learner's role in receiving it.
  • Current training primarily focuses on preceptors, neglecting the student perspective in feedback dynamics.
  • Combined training sessions for preceptors and students can foster better feedback communication and outcomes.

Purpose of the Study:

  • To evaluate a relational feedback intervention's effect on both preceptors and students.
  • To assess improvements in feedback quality and quantity through a longitudinal integrated clerkship.
  • To enhance the feedback process by involving both givers and receivers in a shared educational experience.

Main Methods:

  • A 2.5-hour combined professional development session was conducted for students and preceptors.
  • Participants received tools and practiced giving/receiving feedback within a coaching relationship.
  • Pre- and post-intervention surveys, preceptor assessments, and student focus groups were employed, alongside program evaluations.

Main Results:

  • Data from 66 preceptors and 29 students were collected as of March 2022.
  • The study is ongoing, with data collection set to conclude in December 2023.
  • Initial data collection indicates participant engagement with the intervention.

Conclusions:

  • The study contributes to understanding preceptor-student feedback in clinical settings.
  • Joint training sessions promote relationship development and co-constructed feedback conversations.
  • Social learning theory will be applied to interpret findings and enhance generalizability.