Realistic, first of kind, clinical simulation scenarios were presented to a neurosurgery/anesthesia resident team who worked together to manage an intraoperative crisis. Learners were effectively trained on crisis management, the importance of communication, and how to develop algorithms for future implementation in difficult scenarios. Learners were highly satisfied with the simulation training experience and requested that it be integrated more consistently into their residency training programs.
Background:
The COVID-19 pandemic has resulted in unpreceded changes to medical education. Medical students interested in urology and neurosurgery have reported concerns regarding COVID-19’s effects on clinical experience and the residency application process; however, the impact amongst students interested in plastic surgery is unknown. We hypothesized that students applying into plastic surgery may experience much distress as a result of the COVID-19 pandemic.
Methods:
An electronic survey was developed by 3 plastic surgery residents and 2 academic plastic surgeons and later refined by 4 fourth-year medical students. Questions focused on medical education curricular changes, perceived impact on medical education, and demographics. From April–May 2020 the survey was distributed to medical students who were interested in plastic surgery. Participants were identified through plastic surgery residency program personnel and social media platforms.
Results: In total,
130 of the 140 respondents reported interest in plastic surgery careers. An estimated 67% were in their clinical years or completing research year(s) before residency applications. Of the respondents, 80% believed that the COVID-19 pandemic had a negative impact on their medical education. Clinical-level students compared with preclinical-level students, and students applying to residency during the 2020–2021 match cycle compared with students not applying during the 2020–2021 match cycle were significantly more likely to perceive the COVID-19 pandemic as having a negative impact on their medical education (
P
= 0.04 and 0.03, respectively).
Conclusion:
Medical students interested in plastic surgery perceive the COVID-19 pandemic as having a negative impact on their education, likely due to a reduction in clinical exposure.
The use of simulation-based training for teaching new procedures is rapidly progressing; however, best practices have yet to be defined. 1,2 We describe the association between a longitudinal simulation curriculum and learners' interest and confidence in performing cardiothoracic (CT) surgery.
Carotid artery injuries are serious complications of endoscopic endonasal surgery. As these occur rarely, simulation training offers an avenue for technique and algorithm development in resident learners. This study develops a realistic cadaveric model for the training of crisis resource management in the setting of cavernous carotid artery injury. An expanded endonasal approach and right cavernous carotid injury is performed on a cadaveric head. The cadaver's right common carotid artery is cannulated and connected to a perfusion pump delivering pressurized simulated blood. A simulation mannequin is incorporated into the model to allow for vital sign feedback. Surgical and anesthesia resident learners are tasked with obtaining vascular control with a muscle patch technique and medical management over the course of 3 clinical scenarios with increasing complexity. Crisis management instructions for an endoscopic endonasal approach to the cavernous carotid artery and blood pressure control were provided to the learners prior to beginning the simulation. An independent reviewer evaluated the learners on communication skills, crisis management algorithms, and implementation of appropriate skill sets. After each scenario, residents were debriefed on how to improve technique based on evaluation scores in areas of situational awareness, decision-making, communications and teamwork, and leadership. After the simulation, learners provided feedback on the simulation and this data was used to improve future simulations. The benefit of this cadaveric model is ease of set-up, cost-effectiveness, and reproducibility.
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