Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA.
Epileptic Disord. 2024 Aug;26(4):444-459. doi: 10.1002/epd2.20229. Epub 2024 Apr 26.
To assess the effectiveness of an educational program leveraging technology-enhanced learning and retrieval practice to teach trainees how to correctly identify interictal epileptiform discharges (IEDs).
This was a bi-institutional prospective randomized controlled educational trial involving junior neurology residents. The intervention consisted of three video tutorials focused on the six IFCN criteria for IED identification and rating 500 candidate IEDs with instant feedback either on a web browser (intervention 1) or an iOS app (intervention 2). The control group underwent no educational intervention ("inactive control"). All residents completed a survey and a test at the onset and offset of the study. Performance metrics were calculated for each participant.
Twenty-one residents completed the study: control (n = 8); intervention 1 (n = 6); intervention 2 (n = 7). All but two had no prior EEG experience. Intervention 1 residents improved from baseline (mean) in multiple metrics including AUC (.74; .85; p < .05), sensitivity (.53; .75; p < .05), and level of confidence (LOC) in identifying IEDs/committing patients to therapy (1.33; 2.33; p < .05). Intervention 2 residents improved in multiple metrics including AUC (.81; .86; p < .05) and LOC in identifying IEDs (2.00; 3.14; p < .05) and spike-wave discharges (2.00; 3.14; p < .05). Controls had no significant improvements in any measure.
This program led to significant subjective and objective improvements in IED identification. Rating candidate IEDs with instant feedback on a web browser (intervention 1) generated greater objective improvement in comparison to rating candidate IEDs on an iOS app (intervention 2). This program can complement trainee education concerning IED identification.
评估一项利用技术增强学习和检索实践来教授学员正确识别癫痫样放电(IEDs)的教育计划的效果。
这是一项涉及初级神经科住院医师的机构间前瞻性随机对照教育试验。干预措施包括三个视频教程,重点介绍 IED 识别的六个 IFCN 标准,并对 500 个候选 IED 进行评分,即时反馈在网络浏览器上(干预 1)或 iOS 应用程序上(干预 2)。对照组未接受任何教育干预(“非活动对照”)。所有住院医师在研究开始和结束时都完成了一项调查和一项测试。为每位参与者计算了绩效指标。
21 名住院医师完成了研究:对照组(n=8);干预 1 组(n=6);干预 2 组(n=7)。除了两个人之外,所有人都没有脑电图经验。干预 1 组的多名参与者的多项指标都有所提高,包括 AUC(.74;.85;p<.05)、敏感性(.53;.75;p<.05)和识别 IED/将患者送医治疗的置信度(LOC)(1.33;2.33;p<.05)。干预 2 组的多名参与者的多项指标均有所提高,包括 AUC(.81;.86;p<.05)和识别 IED(LOC)(2.00;3.14;p<.05)和棘波放电(2.00;3.14;p<.05)。对照组在任何测量中都没有显著改善。
该计划在 IED 识别方面带来了显著的主观和客观改善。在网络浏览器上对候选 IED 进行即时反馈评分(干预 1)与在 iOS 应用程序上对候选 IED 进行评分(干预 2)相比,产生了更大的客观改善。该计划可以补充关于 IED 识别的学员教育。