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Web-Based ECG Learning Applications and Their Potential Contribution to Basic Trauma and Cardiac Life Support Competencies: A Scoping Review
Abstract
Introduction: Electrocardiogram (ECG) interpretation is essential for recognising shockable rhythms, life-threatening arrhythmias, and ischemia in basic trauma and cardiac life support (BT&CLS). Although digital ECG learning tools are increasingly implemented, their contribution to BT&CLS-related competencies has not been comprehensively mapped, particularly in low- and middle-income countries (LMICs).
Objective: To map and synthesise evidence on web-based ECG learning applications used to improve competencies relevant to BT&CLS, including knowledge, interpretation accuracy, confidence, usability, and resuscitation-related performance.
Methods: This scoping review followed the PRISMA-ScR guideline. Searches were conducted in PubMed, ScienceDirect, and Google Scholar for peer-reviewed studies published in English or Indonesian between January 2019 and December 2024. Eligibility was guided by the Population–Concept–Context framework and included healthcare learners and professionals using web-based, mobile, or digital ECG learning tools in emergency, cardiovascular, or life-support education. Two reviewers independently performed study selection, data extraction, and quality appraisal using RoB 2 and Joanna Briggs Institute tools. Findings were synthesised narratively through thematic analysis.
Results: Of 1,243 records identified, 18 studies were included. Study designs comprised randomised controlled trials, quasi-experimental, mixed-methods, observational, and usability studies across diverse settings. Web-based ECG applications consistently improved ECG knowledge and interpretation accuracy, with several interventions outperforming traditional lectures. Participants also reported increased confidence, engagement, and positive user experience. Methodological quality was generally moderate to good, although limited long-term follow-up and direct BT&CLS outcome assessment were noted.
Conclusion: Web-based ECG learning applications enhance ECG-related competencies and are feasible across settings, including LMICs. Future studies should integrate ECG learning into BT&CLS simulations and evaluate effects on real-world resuscitation performance
Keywords
References
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DOI: https://doi.org/10.17509/jpki.v12i1.93154
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