ArticleBMC medical education2022
Assessment of electrocardiogram interpretation competency among healthcare professionals and students of Ardabil University of Medical Sciences: a multidisciplinary study.
Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Multitask Artificial Intelligence-Based Electrocardiogram Tool for Preoperative Cardiac Testing in Noncardiac Surgery: Retrospective Cohort Study of Health Care Utilization and Costs.Journal of medical Internet research · 2026Article
- Knowledge level of ECG interpretation on STEMI, its equivalents and mimics among emergency department medical officers: a single-centre study.BMC medical education · 2026Article
- Artificial intelligence-enhanced ECG score for perioperative risk assessment in non-cardiac surgery.European heart journal. Digital health · 2026Article
- Assessment of electrocardiography interpretation competency of Ethiopian medical interns: a multi-site study.Scientific reports · 2026Article
- Improving ECG Interpretation Skills Among Healthcare Providers at Aswan University Hospitals: A Clinical Audit.Cureus · 2026Article
- ABCD Framework-Based Stratified Analysis of ECG Interpretation Among Chinese Internal Medicine Residents: A Cross-Sectional Study.Advances in medical education and practice · 2026Article
- Development and initial validation of a computerized adaptive test prototype for ECG interpretation using item response theory.PloS one · 2026Article
- Electrocardiogram Interpretation Competency of Primary Health Care Physicians: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2025Article
- Article
- Impact of self-directed e-learning on nurses' competency in arrhythmia interpretation in cardiology.PloS one · 2025Article
- Proficiency of South African intern doctors in recognising ischaemia on an electrocardiogram.Journal of the colleges of medicine of South Africa · 2025Article
- Electrocardiogram (EKG) knowledge and interpretation proficiency among healthcare professionals in Pakistan: a prospective cross-sectional study.Annals of medicine and surgery (2012) · 2024Article
- Advancing arrhythmia education through the CDIO approach: a new paradigm in nursing student training.BMC nursing · 2024Article
- Article
- Strategies to prevent medical errors by nursing interns: a qualitative content analysis.BMC nursing · 2024Article
- Medical Students' Competency and Confidence in Interpreting Electrocardiograms at King Faisal University, Al-Ahsa.Cureus · 2023Article
- Electrocardiogram Interpretation Competency of Medical Interns in Saudi Arabia: A Cross-Sectional Study.Cureus · 2023Article
- Electrocardiographic interpretation by emergency medical services professionals in Saudi Arabia: A cross sectional study.PloS one · 2023Article
- Capability of Emergency and Critical Care Nurses in Electrocardiogram Interpretation: A Mixed-Methods Systematic Review.SAGE open nursingReview
- Knowledge and practice on electrocardiography interpretation among nurses in emergency and intensive care units of selected public hospitals in Addis Ababa, Ethiopia.Therapeutic advances in cardiovascular diseaseArticle
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6 authors.
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Abstract
backgroundElectrocardiogram (ECG) interpretation is a core clinical skill that helps to rapid diagnosis of potentially life-threatening diseases. Misinterpretation of the electrocardiogram can lead to inappropriate clinical decisions with adverse outcomes. The main aim of this survey was to assess the competency of electrocardiogram interpretation and related factors among healthcare professionals and students of Ardabil University of Medical Sciences.
methodsThis descriptive cross-sectional study included 323 staff and students of Ardabil University of Medical Sciences in northwestern Iran. Data were collected randomly from November to January 1400 using the Badell-Coll ECG Interpretation Competency Questionnaire and analyzed using SPSS V.14. Statistical analysis included descriptive statistics, independent t-test, ANOVA, Pearson correlation coefficient and multiple linear regression.
resultsThe results showed that the mean and standard deviation of electrocardiogram interpretation competency of health professional staff and students was 5.13 ± 2.25 (maximum score = 10). The large number of participants wasn't able to identify normal sinus rhythm (n = 251, 77.3%), acute myocardial infarction (n = 206, 63.8%) and pathological Q waves (n = 201, 62.2%). The results of multiple linear regression showed that the variables of education level, self-assessment of electrocardiogram interpretation competence, work experience, and type of hospital were able to predict the competence of ECG interpretation in participants.
conclusionsOur findings showed that the participants' level of electrocardiogram interpretation competency was low. Hence, regular, standard training and education are recommended. Also, managers and educators of the health system should consider the role of positive self-assessment and exposure to ECG interpretation in improving the competence of staff and students to interpret ECG.
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