Value of Fundamentals of Laparoscopic Surgery (FLS) Training in a Fourth-Year Medical School Advanced Surgical Skills Elective

Journal of Surgical Research(2012)

引用 10|浏览4
暂无评分
摘要
Few data are available describing the benefits of initiating fundamentals of laparoscopic surgery (FLS) training during medical school. We hypothesized that an intense 1-month surgical skills elective that included FLS task training for fourth-year medical students (MS4s) would result in performance levels indistinguishable from graduating chief residents (PGY5) who had received clinical skill training and access to self-guided FLS curriculum.From July 2007 through June 2011, 114 MS4s participated in a 1-month advanced surgical skills elective. The curriculum for the elective included cadaver dissections, patient management presentations, and surgical skill training (open surgical skills and basic laparoscopic skills modules performed on FLS trainers and virtual reality laparoscopic simulators). From June 2009 through June 2011, 21 PGY5s graduated who had never received formalized FLS skills training. These residents were tested on FLS by a certified proctor and the results recorded. The performance outcome measure was task completion time. Unpaired Student's t-test was used to compare the performance measures for each group.All PGY5s achieved FLS certification on their first attempt and completed enough cases for graduation. The MS4 group showed significantly better performance than the PGY5 group in the peg transfer and circle cut (P < 0.05). No difference was seen in the knot tying tasks between the two groups (P > 0.05)Incorporating FLS training into a 1 month-long medical school surgery elective enabled MS4s to achieve FLS performance similar to, or better than, the performance achieved by PGY5 surgery residents. We support the integration of FLS skills task training as a standard part of the skills training curriculum for medical students.
更多
查看译文
关键词
Fundamentals of laparoscopic surgery,Surgical education,Surgical simulation,Proficiency based training
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要