Development and Evaluation of a Novel Resuscitation Teamwork Model for Out-of-Hospital Cardiac Arrest in the Emergency Department.

Study objective: Cardiopulmonary resuscitation (CPR) is critical for out-of-hospital cardiac arrest patients but is prone to rapid changes and errors. Effective teamwork and leadership are essential for high-quality CPR. We aimed to introduce the Airway-Circulation-Leadership-Support (A-C-L-S) teamwork model in the emergency department (ED) to address these challenges. Methods: The study comprised 2 phases. The development phase involved reviewing CPR videos, categorizing problems, and formulating strategies using the Systems Engineering Initiative for Patient Safety model. Resuscitation tasks were organized into A-C-L-S domains using hierarchical task analysis. Equipment and environmental deficits were optimized ergonomically with a pit-crew style arrangement. Mnemonics enhanced teamwork and leadership. The evaluation phase assessed postimplementation ED resuscitation team performance, focusing on adherence, timeliness, and quality of A-C-L-S tasks. Results: The development phase produced a structured teamwork model, assigning tasks, tools, mnemonics, and positions based on A-C-L-S domains. The A-team manages the airway and optimizes end-tidal CO2 levels; the C-team focuses on high-quality chest compressions and defibrillation. Leadership coordinates resuscitation efforts using goal-directed mnemonics (DABCD2E3), whereas the S-team handles medications, timekeeping, and recording. The evaluation phase showed improvements in adherence and timeliness of A-C-L-S tasks, with sustained increases in chest compression fraction before mechanical CPR, from 67.2% preimplementation to 83.0% postimplementation, 89.1% after 1 year, and 86.1% after 2 years. Overall, chest compression fraction also improved from 81.7% to 88.6%, peaking at 92.2% after 1 year and maintaining 90.8% after 2 years. Conclusion: The A-C-L-S teamwork model is feasible, applicable, and effective. Further research is needed to assess its influence on patient outcomes.