Literature DB >> 25475474

Electrocardiographic interpretation skills of cardiology residents: are they competent?

Matthew Sibbald1, Edward G Davies2, Paul Dorian3, Eric H C Yu4.   

Abstract

Achieving competency at electrocardiogram (ECG) interpretation among cardiology subspecialty residents has traditionally focused on interpreting a target number of ECGs during training. However, there is little evidence to support this approach. Further, there are no data documenting the competency of ECG interpretation skills among cardiology residents, who become de facto the gold standard in their practice communities. We tested 29 Cardiology residents from all 3 years in a large training program using a set of 20 ECGs collected from a community cardiology practice over a 1-month period. Residents interpreted half of the ECGs using a standard analytic framework, and half using their own approach. Residents were scored on the number of correct and incorrect diagnoses listed. Overall diagnostic accuracy was 58%. Of 6 potentially life-threatening diagnoses, residents missed 36% (123 of 348) including hyperkalemia (81%), long QT (52%), complete heart block (35%), and ventricular tachycardia (19%). Residents provided additional inappropriate diagnoses on 238 ECGs (41%). Diagnostic accuracy was similar between ECGs interpreted using an analytic framework vs ECGs interpreted without an analytic framework (59% vs 58%; F(1,1333) = 0.26; P = 0.61). Cardiology resident proficiency at ECG interpretation is suboptimal. Despite the use of an analytic framework, there remain significant deficiencies in ECG interpretation among Cardiology residents. A more systematic method of addressing these important learning gaps is urgently needed.
Copyright © 2014 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25475474     DOI: 10.1016/j.cjca.2014.08.026

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  6 in total

1.  Validation of a Novel Digital Tool in Automatic Scoring of an Online ECG Examination at an International Cardiology Meeting.

Authors:  Kieran L Quinn; Eugene Crystal; Ilan Lashevsky; Banafsheh Arouny; Adrian Baranchuk
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-09-22       Impact factor: 1.468

2.  Mastering Electrocardiogram Interpretation Skills Through a Perceptual and Adaptive Learning Module.

Authors:  Sally Krasne; Carl D Stevens; Philip J Kellman; James T Niemann
Journal:  AEM Educ Train       Date:  2020-05-05

3.  A qualitative study on negative attitude toward electrocardiogram learning among undergraduate medical students.

Authors:  May Honey Ohn; Urban D' Souza; Khin Maung Ohn
Journal:  Tzu Chi Med J       Date:  2020-08-02

4.  Is computer-assisted instruction more effective than other educational methods in achieving ECG competence among medical students and residents? Protocol for a systematic review and meta-analysis.

Authors:  Charle André Viljoen; Rob Scott Millar; Mark E Engel; Mary Shelton; Vanessa Burch
Journal:  BMJ Open       Date:  2017-12-26       Impact factor: 2.692

5.  Competency in ECG Interpretation Among Medical Students.

Authors:  Grzegorz Kopeć; Wojciech Magoń; Mateusz Hołda; Piotr Podolec
Journal:  Med Sci Monit       Date:  2015-11-06

6.  The Simulated Cardiology Clinic: A Standardized Patient Exercise Supporting Medical Students' Biomedical Knowledge and Clinical Skills Integration.

Authors:  Jennifer M Jackson; R Brandon Stacey; Sharon S Korczyk; Donna M Williams
Journal:  MedEdPORTAL       Date:  2020-10-28
  6 in total

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