Literature DB >> 19448769

Are our medical graduates in New Zealand safe and accurate in ECG interpretation?

Nigel A Lever1, Peter D Larsen, Mathew Dawes, Annie Wong, Scott A Harding.   

Abstract

AIM: We aimed to assess the skills of final year medical students and resident medical officers in recognising and interpreting important common or life-threatening abnormalities in the electrocardiogram (ECG).
METHODS: 102 participants at two study sites (52 of whom were final year medical students) attempted to determine the heart rate and rhythm and identify and interpret any abnormalities present in 15 ECGs in a 30-minute time period.
RESULTS: Accurate determination of heart rate was poor, ranging from 0% to 89% correct across the 15 ECGs. Normal sinus rhythm in 8 ECGs was identified 81% to 95% of the time, and ventricular tachycardia was identified by 98% of participants. Atrial fibrillation (55%), second degree heart block (19%) and ventricular pacing (9%) were not well identified. Four ECGs showed acute ischaemic ST segment changes, and these were correctly identified in 87% to 93% of cases, although interpretation of these abnormalities was less accurate. Long QT interval (7%) and pre-excitation (WPW pattern, 11%) were not well recognised. Nearly half of the participants rated their ability to interpret ECGs as less than satisfactory while just over half rated the ECG teaching they had received as less than satisfactory.
CONCLUSIONS: Overall study participants did not achieve what we would consider an adequate standard in recognising and interpreting important common or life-threatening abnormalities in the ECG. To address this we need to define minimum standards in ECG interpretation, to improve our teaching to meet these standards, and to assess our graduates against these.

Entities:  

Mesh:

Year:  2009        PMID: 19448769

Source DB:  PubMed          Journal:  N Z Med J        ISSN: 0028-8446


  11 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.  Use of concept maps to promote electrocardiogram diagnosis learning in undergraduate medical students.

Authors:  Ruimin Dong; Xiaoyan Yang; Bangrong Xing; Zihao Zou; Zhenda Zheng; Xujing Xie; Jieming Zhu; Lin Chen; Hanjian Zhou
Journal:  Int J Clin Exp Med       Date:  2015-05-15

3.  The quality of defibrillation performance among students of the University of Medical Sciences.

Authors:  Malgorzata Grzeskowiak; Wlodzimierz Plotek; Roland Podlewski
Journal:  J Anesth       Date:  2011-05-06       Impact factor: 2.078

4.  Online team-based electrocardiogram training in Haiti: evidence from the field.

Authors:  Dawson Calixte; Norrisa Adrianna Haynes; Merly Robert; Cassandre Edmond; Lily D Yan; Kate Raiti-Palazzolo; Evyrna Toussaint; Benito D Isaac; Darius L Fenelon; Gene F Kwan
Journal:  BMC Med Educ       Date:  2022-05-11       Impact factor: 3.263

5.  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

6.  The acquisition and retention of ECG interpretation skills after a standardized web-based ECG tutorial-a randomised study.

Authors:  Signe Rolskov Bojsen; Sune Bernd Emil Werner Räder; Anders Gaardsdal Holst; Lars Kayser; Charlotte Ringsted; Jesper Hastrup Svendsen; Lars Konge
Journal:  BMC Med Educ       Date:  2015-03-07       Impact factor: 2.463

7.  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

8.  Competency in ECG Interpretation Among Medical Students.

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

9.  Is computer-assisted instruction more effective than other educational methods in achieving ECG competence amongst medical students and residents? A systematic review and meta-analysis.

Authors:  Charle André Viljoen; Rob Scott Millar; Mark E Engel; Mary Shelton; Vanessa Burch
Journal:  BMJ Open       Date:  2019-11-18       Impact factor: 2.692

10.  Determining electrocardiography training priorities for medical students using a modified Delphi method.

Authors:  Charle André Viljoen; Rob Scott Millar; Kathryn Manning; Vanessa Celeste Burch
Journal:  BMC Med Educ       Date:  2020-11-16       Impact factor: 2.463

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