Saravi Mehrdad, Rezaei Majd Amirmohammad, Qassemi Darzi Mohammad Ali, Habibzadeh Yasaman, Hoseini Motlagh Zeinab, Ghaemi-Amiri Maryam
Department of Cardiology, School of Medicine, Mobility Impairment Research Center, Health Research Institute, Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.
Razi Hospital. Tehran University of Medical Sciences, Tehran, Iran.
Caspian J Intern Med. 2024 Winter;15(1):141-146. doi: 10.22088/cjim.15.1.16.
Given electrocardiogram (ECG) interpretation as one of the diagnostical challenges for medical students and health professionals, this research was carried out to present an experience of web-based teaching method and novel approaches used for training of ECG interpretation.
This online program was conducted in three days. The main content of the class was taught during one hour, and after that, the teacher spent enough time for responding the asked questions. The components of a normal ECG and different changes that can occur in these waves were taught through clinical case-based scenarios using the web platform and Adobe Connect software. The participants' satisfaction was assessed with a 12-item questionnaire, and the short-term retention of ECG interpretation skill was examined by comparing the posttest scores with pretest.
A total of 224 individuals completed the course. Total satisfaction score was 53.05±6.98 (out of the maximum score of 60). Based on the results of the paired t test, the interpretation skill scores of the participants increased significantly from 2.5 ± 1.57 to 6.96 ± 1.89. (p<0.001, CI = -4.8 to- 4.11).
This web-based nationwide training program provided a supplementary resource for ECG learning among medical students and health-care providers.
鉴于心电图(ECG)解读是医学生和卫生专业人员面临的诊断挑战之一,本研究旨在介绍一种基于网络的教学方法以及用于心电图解读培训的新颖方法的经验。
该在线课程为期三天。课程的主要内容在一小时内讲授,之后教师花足够的时间回答问题。通过使用网络平台和Adobe Connect软件的临床案例场景,教授正常心电图的组成部分以及这些波形可能出现的不同变化。通过一份包含12个条目的问卷评估参与者的满意度,并通过比较测试后分数与测试前分数来检查心电图解读技能的短期保持情况。
共有224人完成了该课程。总满意度得分为53.05±6.98(满分60分)。根据配对t检验的结果,参与者的解读技能得分从2.5±1.57显著提高到6.96±1.89。(p<0.001,置信区间=-4.8至-4.11)。
这个基于网络的全国性培训项目为医学生和医疗保健提供者的心电图学习提供了补充资源。