J Neurosurg Spine. 2024 Jan 12;40(4):519-528. doi: 10.3171/2023.10.SPINE23273. Print 2024 Apr 1.
Cadaveric and dry 3D model-based simulation training is a valuable educational tool for neurosurgical residents. Such simulation training is an opportunity for residents to hone technical skills and decision-making and enhance their neuroanatomy knowledge. The authors describe the growth and development of the Oregon Health & Science University Department of Neurological Surgery resident-focused, hands-on, spine-simulation surgery courses and provide details of course evaluations, layout, and setup.
A four-part spine surgical simulation series, including two human cadaveric and two dry 3D model-based courses, was created to provide resident spine procedure training. Residents participated in the spine simulation series (2017-2021) and completed annual course curriculum and anonymous post-course evaluations. Evaluations included both Likert scale items and free-text responses. Responses to Likert scale items were analyzed in Python. Free-text responses were quantified using the Valence Aware Dictionary for Sentiment Reasoner. Descriptive statistics were calculated and plotted using Python's seaborn and matplotlib library modules.
The analysis included 129 spine (occipitocervical, thoracolumbar, and spine model fusion I and II) simulation course evaluations. Likert responses demonstrated high average responses for evaluation questions (4.67 ± 0.90 and above). The average compound sentiment value was 0.58 ± 0.28.
This is the first time Likert responses and sentiment analysis have been used to demonstrate how neurosurgical residents positively value a hands-on spine simulation training. Simulation is an essential component of neurosurgical resident education training. The authors encourage other neurosurgical education programs to develop and leverage spine simulation as a teaching tool.
尸体和 3D 模型为基础的模拟训练对神经外科住院医师来说是一种有价值的教育工具。这种模拟训练为住院医师提供了磨练技术技能和决策能力以及增强神经解剖学知识的机会。作者描述了俄勒冈健康与科学大学神经外科住院医师为重点的、注重实践的脊柱模拟手术课程的发展，并提供了课程评估、布局和设置的详细信息。
创建了一个四部分的脊柱手术模拟系列，包括两个人体尸体和两个基于 3D 模型的课程，以提供住院医师脊柱手术培训。住院医师参加了脊柱模拟系列课程（2017-2021 年），并完成了年度课程课程和匿名课程后评估。评估包括李克特量表项目和自由文本回复。对李克特量表项目的回复在 Python 中进行了分析。使用 Valence Aware Dictionary for Sentiment Reasoner 对自由文本回复进行量化。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 129 个脊柱（枕颈、胸腰椎和脊柱模型融合 I 和 II）模拟课程评估。李克特反应表明评估问题的平均反应较高（4.67±0.90 及以上）。平均复合情绪值为 0.58±0.28。
这是第一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高度重视实践为基础的脊柱模拟培训。模拟是神经外科住院医师教育培训的重要组成部分。作者鼓励其他神经外科教育项目开发并利用脊柱模拟作为教学工具。
