Abstract TP240: Simulation-Based Learning Improves Neurology Resident Training in Acute Stroke Care

Abstract

Introduction: Acute “stroke codes” are stressful for the new neurology resident who must lead a multi-disciplinary team and quickly integrate information to make high risk time-sensitive decisions. While other disciplines have used simulation technology for years for cardiac arrest codes, neurology has just begun utilizing this resource. Objective: To improve neurology trainees’ execution of a multi-disciplinary acute stroke code using simulation experience Methods: We identified three learning objectives for the simulation experience: assess tissue plasminogen activator (tPA) eligibility, utilize appropriate order sets, and communicate effectively. Scripts for two emergent scenarios were developed: ischemic stroke requiring i.v. tPA and warfarin-associated intracranial hemorrhage requiring coagulopathy reversal. A standardized patient (SP) was trained. Neurology residents in their first week of training were the learners. Six residents attended a four-hour training session in the Simulation Center at Stanford University. Half of the trainees participated in the scenario while the others observed through live video. The SP acted the part in a fully-equipped, mock emergency room. Monitors, controlled remotely, displayed vital signs which changed to reflect interventions performed. Screens also displayed radiologic data. Trainees communicated with the stroke fellow and nursing regarding the plan of care and placed orders through an electronic medical record in training mode. Debriefing occurred after each scenario. Evaluations were completed and collected. Results: Trainees had positive experiences and felt more comfortable with the stroke code after the training. On a 1-5 scale, learners rated quality of teaching (average 4.6); learning from the scenario (4.8); overall organization (4.2); facilities (5); and overall evaluation (4.6). Conclusions: Simulation training offers a valuable opportunity to enhance neurology resident’s comfort in running stroke codes. Additional studies are required to measure long-term retention of acquired skills and training effect on systems and clinical outcomes.

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