A Brain-Based Instruction Simulation Approach to Improve Code Team Response in an Internal Medicine Unit Academic Article uri icon


MeSH Major

  • Cardiac Surgical Procedures
  • Hospitals, Special


  • © The Author(s) 2018. Background and Objectives. The code team course is a 3-hour, interactive course that follows a 4-phase brain-based lesson plan for simulation. Interprofessional teams receive instruction and practice in evidence-based teamwork, communication, and individual skills. Methods. This quantitative research included a pre-test and post-test design in an urban Department of Medicine. Sixteen groups (n=109) participated in the course over a period of eight weeks. Classroom metrics included pre- and post-course High-Quality cardiopulmonary resuscitation (CPR) and code team didactic knowledge assessed by Wilcoxon rank-sum tests. In addition, four in-situ mock code simulations were conducted to provide the researchers with baseline and post-intervention data. Code team performance assessment scores were tallied and compared between baseline and post-intervention by Fisher’s Exact Test. Results. The classroom metrics produced significant results. High-Quality CPR scores were higher post-training than pre-training (median score 4 vs. 3, respectively; p=0.006). Didactic knowledge test scores were also significantly higher (median score 90 vs. 70, respectively; p <0.001). In-situ team performance improved in several areas. There was a significant improvement in the area of cardiac code management in the day shift group. The percent “done well” improved from 25% (5/20) to 100% (20/20) (p= <0.001). Conclusion. The results of this pilot study suggest that code team training using the 4-phase BBL plan for simulation is associated with improvements in interprofessional team knowledge and performance during cardiac emergencies. It is equally important that the training is conducted over a short period in order to ensure that all team members are properly prepared.

publication date

  • January 2018



  • Academic Article


Digital Object Identifier (DOI)

  • 10.1177/1046878118794992

Additional Document Info