An Educational Module to Teach Interprofessional Learner Feedback Skills for Trauma Simulation Events

World J Surg. 2022 Jul;46(7):1602-1608. doi: 10.1007/s00268-022-06551-8. Epub 2022 Apr 10.

Abstract

Background: Peer feedback, or feedback given by a learner to another learner, is an important active learning strategy. Hierarchy and stereotypes may affect interprofessional (IP) learner-to-learner feedback. The aim was to assess the efficacy of an educational module for IP learners in delivering effective feedback during trauma simulations.

Methods: Multiple simulation events designed to improve teamwork and leadership skills during trauma simulations included IP learners (residents and nurses). Participants completed a pre-course educational module on IP peer feedback. The Trauma Team Competence Assessment-24 tool structured feedback. Learners completed pre/post-assessments utilizing IP Collaborative Competencies Attainment Survey (ICCAS).

Results: Twenty-five learners participated in the trauma simulations (13 general surgery and 5 emergency residents, 3 medical students, 4 nurses). The majority of learners had either not received any previous training in how to effectively deliver peer feedback (40%) or had engaged in self-directed learning only (24%). Most learners (64%) had delivered peer feedback less than ten times. Learner knowledge and confidence in delivering feedback to fellow IP learners improved after simulations. All learners felt the feedback received was useful to their daily practice (68% agree, 32% strongly agree). All participants agreed that the simulation achieved each of the ICCAS competencies.

Conclusions: Formal education on IP peer feedback is rare. This pilot work demonstrates educational modules with a foundation in validated tools can be effective in improving learner knowledge and confidence in the process. Engaging in IP peer feedback may also serve to flatten hierarchies that can challenge effective interprofessional teamwork.

MeSH terms

  • Clinical Competence*
  • Curriculum
  • Feedback
  • Humans
  • Problem-Based Learning
  • Simulation Training*