一个随机控制的教育试点试验,用于神经病学住院医生的间接性发性泄漏识别
Fábio A Nascimento1,2, Jin Jing1,3, Christopher Traner4
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
概括
技术增强型学习显著提高了神经病学住院医生识别间接性发性泄漏 (IED) 的能力. 基于Web的培训比iOS应用程序有更大的客观收益,提高了诊断信心和准确性.
科学领域:
- 医学教育 医学教育
- 神经学 神经学
- 电脑电图 (EEG) 是一种电脑电图.
背景情况:
- 准确识别间接性形泄露 (IED) 对的诊断和管理至关重要.
- 对于IED识别的传统培训方法可能不足以发展熟练程度.
- 技术增强学习为改善医学教育提供了潜在的解决方案.
研究的目的:
- 评估一项技术增强的教育计划的有效性,使用检索实践来教导神经病学居民IED识别.
- 为了比较基于Web的与基于iOS应用程序的培训模块的有效性.
主要方法:
- 一个双机构前性随机对照试验与初级神经病专科医生进行.
- 参与者通过视频教程接受培训,并通过网络浏览器或iOS应用程序实践识别500个潜在的IED,并获得即时反.
- 对照组没有接受任何干预;所有参与者完成了研究前和研究后的评估.
主要成果:
- 两组干预组的居民在IED识别指标,包括AUC和信任度 (LOC) 中显著改善.
- 与iOS应用程序组相比,基于Web的干预组显示出更大的客观改进.
- 对照组没有表现出显著的性能提升.
结论:
- 技术增强的学习计划有效地改善了受训人员对IED识别技能的主观和客观测量.
- 以即时反为基础的网络培训似乎比iOS应用程序更有效地提高了IED识别中的客观性能.
- 这项教育计划是对EEG解释学培训人员教育的宝贵补充.
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