Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, United States.
Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, United States.
Clin Neurol Neurosurg. 2023 Feb;225:107585. doi: 10.1016/j.clineuro.2023.107585. Epub 2023 Jan 5.
Neurosurgical cadaveric and simulation training is a valuable opportunity for residents and fellows to develop as neurosurgeons, further neuroanatomy knowledge, and develop decision-making and technical expertise. The authors describe the growth and development of Oregon Health & Science University (OHSU) Department of Neurological Surgery (NSG) resident hands-on simulation skull base course and provide details of course layout and setup.
A three-part surgical simulation series was created to provide training in cadaveric skull base procedures. Course objectives were outlined for participants. Residents participated in NSG hands-on simulation courses (years 2015-2020) and completed annual course curriculum and anonymous course evaluations, which included free text reviews. Courses were evaluated by Likert scale analysis within Python, and free text was quantified using Valence Aware Dictionary for sEntiment Reasoning (VADER). Descriptive statistics were calculated and plotted using Python's Seaborn and Matplotlib library modules.
Analysis included 162 skull base (anterior fossa, middle fossa and lateral, and endoscopic endonasal-based) simulation course evaluations. Resident responses were overwhelmingly positive. Likert responses demonstrated high average responses for each question (4.62 ± 0.56 and above). A positive attitude about simulation courses is supported by an average compound sentiment value of 0.558 ± 0.285.
This is the first time Likert responses and sentiment analysis have been used to demonstrate how neurosurgical residents view a comprehensive, multi-year hands-on simulation training program. We hope the information presented serves as a guide for other institutions to develop their own residency educational curriculum in cadaveric skull base procedures.
神经外科尸体解剖和模拟训练是住院医师和研究员发展成为神经外科医生、进一步掌握神经解剖学知识以及发展决策和技术专长的宝贵机会。作者描述了俄勒冈健康与科学大学（OHSU）神经外科系（NSG）住院医师动手模拟颅底课程的发展和成长，并提供了课程布局和设置的详细信息。
创建了一个三部分的手术模拟系列，为尸体颅底手术提供培训。为参与者概述了课程目标。住院医师参加了 NSG 动手模拟课程（2015-2020 年），并完成了年度课程课程和匿名课程评估，其中包括自由文本评论。课程使用 Python 中的李克特量表分析进行评估，使用 Valence Aware Dictionary for sEntiment Reasoning (VADER) 对自由文本进行量化。使用 Python 的 Seaborn 和 Matplotlib 库模块计算和绘制描述性统计数据。
分析包括 162 个颅底（前颅窝、中颅窝和外侧颅底以及内镜经鼻内颅底）模拟课程评估。住院医师的反应非常积极。李克特反应表明每个问题的平均反应都很高（4.62±0.56 及以上）。模拟课程的积极态度得到了平均复合情绪值 0.558±0.285 的支持。
这是首次使用李克特反应和情感分析来证明神经外科住院医师如何看待全面的、多年的动手模拟培训计划。我们希望所提供的信息可以作为其他机构开发自己的尸体颅底手术住院医师教育课程的指南。
