Publication
Implementation and evaluation of eight virtual surgical electives for medical students during the COVID-19 pandemic
Downloadable Content
- Persistent URL
- Last modified
- 05/15/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2021-07-26
- Publisher
- Excerpta Medica Inc - Elsevier Science Inc.
- Publication Version
- Copyright Statement
- © 2021 Elsevier Inc. All rights reserved.
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 222
- Issue
- 2
- Start Page
- 248
- End Page
- 253
- Grant/Funding Information
- This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
- Abstract
- Background: Eight novel virtual surgery electives (VSEs) were developed and implemented in April–May 2020 for medical students forced to continue their education remotely due to COVID-19. Methods: Each VSE was 1–2 weeks long, contained specialty-specific course objectives, and included a variety of teaching modalities. Students completed a post-course survey to assess changes in their interest and understanding of the specialty. Quantitative methods were employed to analyze the results. Results: Eighty-three students participated in the electives and 67 (80.7%) completed the post-course survey. Forty-six (68.7%) respondents reported “increased” or “greatly increased” interest in the course specialty completed. Survey respondents’ post-course understanding of each specialty increased by a statistically significant amount (p-value = <0.0001). Conclusion: This initial effort demonstrated that VSEs can be an effective tool for increasing medical students’ interest in and understanding of surgical specialties. They should be studied further with more rigorous methods in a larger population.
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Health Care Management
- Health Sciences, Medicine and Surgery
- Health Sciences, Public Health
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Publication File - vsdfg.pdf | Primary Content | 2025-05-13 | Public | Download |