The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretation

Breen, Cathal; Zhu, Tingting; Bond, Raymond; Finlay, Dewar; Clifford, Gari

Abstract

Introduction
The aim of this study is to present and evaluate the integration of a low resource JavaScript based ECG training interface (CrowdLabel) and a standardised curriculum for self-guided tuition in ECG interpretation.

Methods
Participants practiced interpreting ECGs weekly using the CrowdLabel interface to assist with the learning of the traditional didactic taught course material during a 6 week training period. To determine competency students were tested during week 7.

Results
A total of 245 unique ECG cases were submitted by each student. Accuracy scores during the training period ranged from 0–59.5% (median = 33.3%). Conversely accuracy scores during the test ranged from 30 – 70% (median = 37.5%) (p < 0.05). There was no correlation between students who interpreted high numbers of ECGs during the training period and their marks obtained.

Conclusions
CrowdLabel is shown to be a readily accessible dedicated learning platform to support ECG interpretation competency.

Citation

Breen, C., Zhu, T., Bond, R., Finlay, D., & Clifford, G. (2016). The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretation. Journal of Electrocardiology, 49(3), 454-461. https://doi.org/10.1016/j.jelectrocard.2016.02.003

• Journal Article Type: Article
• Online Publication Date: Feb 11, 2016
• Publication Date: 2016-05
• Deposit Date: Nov 3, 2022
• Journal: Journal of Electrocardiology
• Print ISSN: 0022-0736
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 49
• Issue: 3
• Pages: 454-461
• DOI: https://doi.org/10.1016/j.jelectrocard.2016.02.003
• Keywords: E Learning, ECG, Pedagogy, Assessment, Healthcare Science
• Public URL: http://researchrepository.napier.ac.uk/Output/2947972