Resident versus faculty member simulation debriefing

Clin Teach. 2018 Dec;15(6):462-466. doi: 10.1111/tct.12735. Epub 2017 Nov 16.

Abstract

Background: Near-peer teaching is effective in graduate medical education, but it has not been compared with faculty member teaching in resident simulation. In this study, we sought to compare debriefing sessions of internal medicine (IM) intern simulation sessions led by academic faculty doctors with those led by senior IM residents in order to measure the effectiveness of near-peer teaching in this setting. Near-peer teaching is effective in graduate medical education, but has not been compared with faculty member teaching in resident simulation METHOD: Internal medicine interns participated in four simulation cases, two of which were debriefed by faculty members and two of which were debriefed by residents. Pre-simulation knowledge assessment was completed prior to the case. Following each debriefing, interns completed a Debriefing Assessment for Simulation in Healthcare (DASH) survey. Post-simulation knowledge assessments were completed 6 months after simulation. Debriefings were recorded and transcribed. Each statement made during debriefing was classified as either correct or erroneous by blinded reviewers.

Results: Fifty interns participated in simulation, and the response rate on the DASH survey was 88%. There was no difference between DASH scores (p = 0.13), post-simulation knowledge assessments or error rates during debriefing (p = 0.31) for faculty member and resident instructors.

Conclusion: Our study suggests that residents and faculty members provide a similar quality of simulation instruction based on qualitative and quantitative evaluation.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Education, Medical, Graduate / methods*
  • Faculty / statistics & numerical data*
  • Female
  • Formative Feedback
  • Humans
  • Internal Medicine / education*
  • Internship and Residency
  • Male
  • Middle Aged
  • Peer Group
  • Simulation Training / methods*
  • Students, Medical / statistics & numerical data*