Emergency medicine undergraduate simulation training during the COVID-19 pandemic: A course evaluation.

OBJECTIVE: Reduction in patient-facing teaching encounters has limited practical exposure to Emergency Medicine for medical students. Simulation has traditionally provided an alternative to patient-facing learning, with increasing integration in courses. Rapid advancements in technology facilitate simulation of realistic complex simulations encountered in the emergency setting. This study evaluated the efficacy of high-fidelity simulation in undergraduate emergency trauma medicine teaching. METHODS: A consultant trauma expert delivered an introductory lecture, followed by consultant-led small group transoesophageal echocardiogram (TOE) and chest drain simulations, and a splinting station. Participants then responded to a major trauma incident with simulated patients and high-fidelity mannequins. Pre- and post-surveys were administered to assess change in delegates' trauma surgery knowledge and confidence. DESIGN: One-group pretest-posttest research design. SETTING: A higher education institution in the United Kingdom. PARTICIPANTS: A convenience sample of 50 pre-clinical and clinical medical students. RESULTS: Recall of the boundaries of the safe triangle for chest drain insertion improved by 46% (p < 0.01), and knowledge of cardinal signs of a tension pneumothorax improved by 26% (p = 0.02). There was a 22% increase in knowledge of what transoesophageal echocardiograms (TOEs) measure (p = 0.03), and 38% increased knowledge of contraindications for splinting a leg (p < 0.01). The average improvement in knowledge across all procedures when compared to baseline was 35.8% immediately post-simulation and 22.4% at six-weeks post-simulation. Confidence working in an emergency setting increased by 24% (p < 0.001) immediately, and by 27.2% (p < 0.001) at six weeks. CONCLUSIONS: The findings suggest that simulation training within emergency medicine can result in significant increases in both competency and confidence. Benefits were observed over a six-week period. In the context of reduced patient-facing teaching opportunities, emergency medicine simulation training may represent an invaluable mechanism for delivery of teaching.

Real-World Evidence of COVID-19 Patients' Data Quality in the Electronic Health Records.

Despite the importance of electronic health records data, less attention has been given to data quality. This study aimed to evaluate the quality of COVID-19 patients' records and their readiness for secondary use. We conducted a retrospective chart review study of all COVID-19 inpatients in an academic healthcare hospital for the year 2020, which were identified using ICD-10 codes and case definition guidelines. COVID-19 signs and symptoms were higher in unstructured clinical notes than in structured coded data. COVID-19 cases were categorized as 218 (66.46%) "confirmed cases", 10 (3.05%) "probable cases", 9 (2.74%) "suspected cases", and 91 (27.74%) "no sufficient evidence". The identification of "probable cases" and "suspected cases" was more challenging than "confirmed cases" where laboratory confirmation was sufficient. The accuracy of the COVID-19 case identification was higher in laboratory tests than in ICD-10 codes. When validating using laboratory results, we found that ICD-10 codes were inaccurately assigned to 238 (72.56%) patients' records. "No sufficient evidence" records might indicate inaccurate and incomplete EHR data. Data quality evaluation should be incorporated to ensure patient safety and data readiness for secondary use research and predictive analytics. We encourage educational and training efforts to motivate healthcare providers regarding the importance of accurate documentation at the point-of-care.