首页|The Perceived Utility of 3 Online Resources for Medical Student Neurosurgery Education
The Perceived Utility of 3 Online Resources for Medical Student Neurosurgery Education
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NSTL
Elsevier
? 2021 Elsevier Inc.Objective: Neurosurgery has a high barrier of educational access for medical students. The Medical Student Neurosurgery Training Center (MSNTC) is a novel online learning platform that provides on-site and virtual training opportunities and resources that aim to increase student access to neurosurgical education. The objective of this article was to describe student-reported utility of Medical Student Neurosurgery Training Center educational resources. Methods: A Qualtrics survey was sent to attendees after the 2020 Virtual Neurosurgery Training Camp. Ratings were quantified on modified 5-point Likert scales and compared using Wilcoxon rank sum tests, with a P value of 0.05. Results: Response was obtained from 119 (25.2%) of 473 Virtual Neurosurgery Training Camp registrants. Of respondents, 65 (54.6%) reported prior use of Brain & Spine Report (BSR), 68 (57.14%) reported use of the Video Library (VL), and 78 (65.5%) reported use of the Global Events Calendar (GEC). Among respondents who previously used the BSR, VL, or GEC, mean ratings of usefulness were 3.94 ± 1.01, 4.06 ± 0.91, and 4.10 ± 0.99, respectively. Medical students with a neurosurgery interest group at their home institution reported greater utility of the BSR (P = 0.0008), VL (P = 0.0018), and GEC (P = 0.0250). Medical students with a home program reported greater utility of the BSR (P = 0.0079), and international students reported greater utility of the VL (P = 0.0447). Conclusions: Medical Student Neurosurgery Training Center resources appear to have promising preliminary benefits for students. Increasing medical student awareness, continued development of these resources, and objectively assessing outcomes in neurosurgery education are warranted.
Medical studentNeurosurgery educationOnline educationResourcesVirtual Neurosurgery Training CampWebinar
NSTL
Elsevier
