Abstract WP192: Mobile Stroke Unit Simulation Builds Systems Confidence and Competence in Stroke Trainees

Introduction: Mobile Stroke Units (MSUs) provide unique opportunities for prehospital acute stroke care, yet exposure during training remains limited. Simulation-based education may bridge this gap by preparing stroke trainees to manage real-time diagnostic and therapeutic challenges in the field. Objective: To evaluate the impact of MSU simulation on stroke trainees’ confidence in clinical decision-making and systems navigation, and to assess their post-simulation performance in comparison with graduating trainees. Methods: A structured MSU simulation curriculum was administered to 4 new vascular neurology trainees. Confidence across 12 skill domains, including clinical decision-making and systems coordination, was assessed pre- and post-simulation using Likert-scale surveys. Pre- vs. post-simulation changes were analyzed using Wilcoxon signed-rank tests and effect sizes (Cohen’s d). Post-simulation performance was then compared with 4 graduating trainees using Mann-Whitney U tests. Results: The trainees’ systems confidence post-simulation was significantly higher than pre-simulation (mean summed score 17.5 (2.4) vs 10.0 (1.2), d =4.01, 95% CI [1.4, 6.6]). The simulation showed a strong positive effect on clinical confidence (mean summed score 36.5 (3.1) vs 29.5 (4.9), d=1.7, 95% CI [–0.02, 3.3]). Key skill improvements included telemedicine utilization (mean Likert-scale score 4.3 (1) vs 2.0 (0.0)), coordination with crew (mean Likert-scale score 4.3 (0.5) vs 2.8 (0.5)), and escalation of concerns (mean Likert-scale score 4.5 (0.6) vs 2.5 (0.6)). There were minimal differences between post-simulation and graduating trainees across clinical and systems domains (mean summed score; clinical confidence: 36.5 (3.1) vs. 39.3 (1.0), d=1.2, 95% CI [-0.4, 2.7].; systems confidence: 17.5 (2.4) vs. 18.3 (1.3), d=0.4, 95% CI [–1.0, 1.8]). Conclusion: MSU simulation markedly enhanced systems-based confidence and clinical readiness among stroke trainees. Following the simulation, new stroke trainees achieved performance comparable to graduating peers, underscoring the simulation as a powerful tool to accelerate MSU competency and ensure preparedness for real-world prehospital stroke care.

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Journal
Stroke
Published
2026-01-29
DOI
https://doi.org/10.1161/str.57.suppl_1.wp192
Primary Topic
Simulation-Based Education in Healthcare
Type
article
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article

Abstract WP192: Mobile Stroke Unit Simulation Builds Systems Confidence and Competence in Stroke Trainees

David E. Stein, Nithin Kurra, Himani Sancheti, Rodica Di Lorenzo et al.
Stroke
Simulation-Based Education in Healthcare
article

Abstract WP192: Mobile Stroke Unit Simulation Builds Systems Confidence and Competence in Stroke Trainees

David E. Stein, Nithin Kurra, Himani Sancheti, Rodica Di Lorenzo, Sidonie Ibrikji, Stephen J. Trudeau, Jonathan Solomonow, Zeshaun Khawaja, Sedat Gül, Benjamin Coors, Ken Uchino, Justin Pearce, Kevin Mawby, Michael Kral, Alexandra Sorohan, Bryan Cockling, Holly Moster, Katherine Mulig, Brittany Lapin, Christopher Stanford, Josh Carnes
article en

Abstract

Introduction: Mobile Stroke Units (MSUs) provide unique opportunities for prehospital acute stroke care, yet exposure during training remains limited. Simulation-based education may bridge this gap by preparing stroke trainees to manage real-time diagnostic and therapeutic challenges in the field. Objective: To evaluate the impact of MSU simulation on stroke trainees’ confidence in clinical decision-making and systems navigation, and to assess their post-simulation performance in comparison with graduating trainees. Methods: A structured MSU simulation curriculum was administered to 4 new vascular neurology trainees. Confidence across 12 skill domains, including clinical decision-making and systems coordination, was assessed pre- and post-simulation using Likert-scale surveys. Pre- vs. post-simulation changes were analyzed using Wilcoxon signed-rank tests and effect sizes (Cohen’s d). Post-simulation performance was then compared with 4 graduating trainees using Mann-Whitney U tests. Results: The trainees’ systems confidence post-simulation was significantly higher than pre-simulation (mean summed score 17.5 (2.4) vs 10.0 (1.2), d =4.01, 95% CI [1.4, 6.6]). The simulation showed a strong positive effect on clinical confidence (mean summed score 36.5 (3.1) vs 29.5 (4.9), d=1.7, 95% CI [–0.02, 3.3]). Key skill improvements included telemedicine utilization (mean Likert-scale score 4.3 (1) vs 2.0 (0.0)), coordination with crew (mean Likert-scale score 4.3 (0.5) vs 2.8 (0.5)), and escalation of concerns (mean Likert-scale score 4.5 (0.6) vs 2.5 (0.6)). There were minimal differences between post-simulation and graduating trainees across clinical and systems domains (mean summed score; clinical confidence: 36.5 (3.1) vs. 39.3 (1.0), d=1.2, 95% CI [-0.4, 2.7].; systems confidence: 17.5 (2.4) vs. 18.3 (1.3), d=0.4, 95% CI [–1.0, 1.8]). Conclusion: MSU simulation markedly enhanced systems-based confidence and clinical readiness among stroke trainees. Following the simulation, new stroke trainees achieved performance comparable to graduating peers, underscoring the simulation as a powerful tool to accelerate MSU competency and ensure preparedness for real-world prehospital stroke care.

StrokeVol. 57(Suppl_1)
Cleveland Clinic (US), Cleveland Foundation (US)
Openalex Percentile: Top 75%
Simulation-Based Education in Healthcare
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