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模拟对重症医学专科住院医生脑电图学习的影响。

Impact of Simulation on Critical Care Fellows' Electroencephalography Learning.

作者信息

Fahy Brenda G, Lampotang Samsun, Cibula Jean E, Johnson W Travis, Cooper Lou Ann, Lizdas David, Gravenstein Nikolaus, Vasilopoulos Terrie

机构信息

Anesthesiology, University of Florida College of Medicine, Gainesville, USA.

Neurology/Epilepsy, University of Florida College of Medicine, Gainesville, USA.

出版信息

Cureus. 2022 Apr 24;14(4):e24439. doi: 10.7759/cureus.24439. eCollection 2022 Apr.

Abstract

Introduction Continuous electroencephalography (EEG) is an important monitoring modality in the intensive care unit and a key skill for critical care fellows (CCFs) to learn. Our objective was to evaluate with CCFs an EEG educational curriculum on a web-based simulator. Methods This prospective cohort study was conducted at a major academic medical center in Florida. After Institutional Review Board approval, 13 CCFs from anesthesiology, surgery, and pulmonary medicine consented to take an EEG curriculum. A 25-item EEG assessment was completed at baseline, after 10 EEG interpretations with a neurophysiologist, and after 10 clinically relevant EEG-based simulations providing clinical EEG interpretation hints. A 50-minute tutorial podcast was viewed after the baseline assessment. Main assessment outcomes included multiple outcomes related to web-based simulator performance: percent of hints used, percent of first words on EEG interpretation correct, and percent hint-based EEG interpretation score correct, with higher scores indicating more correct answers. Participants completed a 25-item EEG assessment before (baseline) and after the web-based simulator. Results All 13 CCFs completed the curriculum. Between scenarios, there were differences in percent of hints used (F = 11.7, p < 0.001), percent of first words correct (F = 13.6, p < 0.001), and overall percent hint-based score (F = 14.0, p < 0.001). Nonconvulsive status epilepticus had the lowest percent of hints used (15%) and the highest hint-based score (87%). Overall percent hint-based score (mean across all scenarios) was positively correlated with change in performance as the number of correct answers on the 25-item EEG assessment from before to after the web-based simulator activity (Spearman's rho = 0.67, p = 0.023). Conclusions A self-paced EEG interpretation curriculum involving a flipped classroom and screen-based simulation each requiring less than an hour to complete significantly improved CCF scores on the EEG assessment compared to baseline.

摘要

引言 连续脑电图(EEG)监测是重症监护病房中的一项重要监测方式,也是重症监护专科医师(CCF)需要掌握的一项关键技能。我们的目的是与CCF一起评估基于网络模拟器的脑电图教学课程。方法 这项前瞻性队列研究在佛罗里达州的一家大型学术医疗中心进行。经机构审查委员会批准,来自麻醉科、外科和肺科的13名CCF同意参加脑电图课程。在基线时、与神经生理学家进行10次脑电图解读后以及进行10次基于临床相关脑电图的模拟并提供临床脑电图解读提示后,完成了一项包含25个项目的脑电图评估。在基线评估后观看了一个50分钟的教程播客。主要评估结果包括与基于网络模拟器表现相关的多个结果:使用提示的百分比、脑电图解读中第一个词正确的百分比以及基于提示的脑电图解读分数正确的百分比,分数越高表明答案越正确。参与者在基于网络模拟器之前(基线)和之后完成了一项包含25个项目的脑电图评估。结果 所有13名CCF都完成了课程。在不同场景之间,使用提示的百分比(F = 11.7,p < 0.001)、第一个词正确的百分比(F = 13.6,p < 0.001)以及基于提示的总体分数百分比(F = 14.0,p < 0.001)存在差异。非惊厥性癫痫持续状态使用提示的百分比最低(15%),基于提示的分数最高(87%)。基于提示的总体分数百分比(所有场景的平均值)与基于网络模拟器活动前后25项脑电图评估中正确答案数量的表现变化呈正相关(斯皮尔曼相关系数rho = 0.67,p = 0.023)。结论 一个自主学习的脑电图解读课程,包括翻转课堂和基于屏幕的模拟,每项完成时间均少于一小时,与基线相比,显著提高了CCF在脑电图评估中的分数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2297/9128666/84611c4c8f8b/cureus-0014-00000024439-i01.jpg

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