Capustin Matthew, Weintraub Spencer, Hsieh Ji-Cheng, Alboucai Jack, Antara Farzana, Friedman Karen
Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA.
Northwell Cardiovascular Institute, Manhasset, NY, USA.
J Med Educ Curric Dev. 2025 Jul 20;12:23821205251358038. doi: 10.1177/23821205251358038. eCollection 2025 Jan-Dec.
Skills in electrocardiogram (ECG) interpretation are critical in clinical decision making but remain poor among Internal Medicine residents. There remains no standardized method for teaching ECG interpretation.
This study aimed to leverage the benefits of microlearning by assessing an asynchronous microlearning ECG curriculum for Internal Medicine residents at a single academic residency program between September 2023 and June 2024. The ECG curriculum was comprised of 30 mandatory weekly ECGs which included a clinical vignette, a 12-lead ECG, and a single multiple-choice or free response question posted on Microsoft Teams. Residents were required to submit interpretations within 1 week, after which the answer, a short description of ECG findings, and clinical pearls were posted. Data collection included pre-post surveys with a 1- to 5-Likert scale measuring self-reported confidence and a test containing 15 unique ECGs.
Of 151 total categorical and preliminary Internal Medicine residents, 38 (25.2%) completed pre-post surveys and were analyzed as matched pairs. Residents demonstrated increases in Likert ratings of confidence (mean post-pre score difference 0.44 of 5, = <.01), overall performance (mean post-pre raw score difference 0.97 of 15, = <.01), and performance in identifying normal variants (mean post-pre score subset difference 14.21%, = .017). Residents had no significant change in performance in identifying tachyarrhythmias (mean post-pre score subset difference 5.9%, = .24), ST-segment changes (0.88%, = 0.89), or conduction disease (-0.65%, = .92).
Overall, this curriculum was effective in improving resident confidence in and knowledge of ECG interpretation, with a particular strength in identifying normal/normal variants. Next steps include targeting specific ECG pathologies in which residents show particular knowledge gaps and creation of a 3-year longitudinal curriculum to reinforce knowledge over the course of a 3-year residency.
心电图(ECG)解读技能在临床决策中至关重要,但内科住院医师的此项技能仍较为薄弱。目前尚无标准化的心电图解读教学方法。
本研究旨在通过评估2023年9月至2024年6月期间在一个学术住院医师项目中为内科住院医师设置的异步微学习心电图课程,来利用微学习的优势。该心电图课程包括30个每周必学的心电图内容,其中包括一个临床案例、一份12导联心电图,以及在Microsoft Teams上发布的一道单项选择题或自由回答问题。住院医师需在1周内提交解读结果,之后会发布答案、心电图结果的简短描述以及临床要点。数据收集包括采用1至5李克特量表进行的前后测调查,以衡量自我报告的信心,以及包含15份独特心电图的测试。
在总共151名分类和初步内科住院医师中,38名(25.2%)完成了前后测调查,并作为配对进行分析。住院医师在李克特信心评分(平均前后得分差异为5分中的0.44分,P = <.01)、总体表现(平均前后原始得分差异为15分中的0.97分,P = <.01)以及识别正常变异的表现(平均前后得分子集差异为14.21%,P = .017)方面均有提高。住院医师在识别快速心律失常(平均前后得分子集差异为5.9%,P = .24)、ST段改变(0.88%,P = 0.89)或传导疾病(-0.65%,P = .92)方面的表现无显著变化。
总体而言,本课程有效地提高了住院医师对心电图解读的信心和知识,在识别正常/正常变异方面具有特别优势。下一步包括针对住院医师表现出特定知识差距的特定心电图病理情况,并创建一个为期3年的纵向课程,以在3年住院医师培训期间强化知识。