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Junior psychiatrists' electrocardiogram interpretation skills

Published online by Cambridge University Press:  02 January 2018

Noel Collins
Affiliation:
Gordon Hospital, Central and North West London Foundation Trust, Bloomburg Street, London SW1V 2RH, email: noelcollins@nhs.net
Uttara Mandal
Affiliation:
St Ann's Hospital, Barnet Enfield and Haringey Mental Health Trust
Gabrielle Pendlebury
Affiliation:
South London and Maudsley Foundation Trust
Jenny Drife
Affiliation:
South London and Maudsley Foundation Trust
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Abstract

Aims and Method

We checked whether psychiatric junior doctors could identify common electrocardiogram (ECG) abnormalities. Participants were directly approached at three London sites during induction or teaching programmes.

Results

The survey had a total response rate of 65% (36/55). Psychiatry junior doctors displayed an overall success rate of 97% in detecting whether an ECG is grossly abnormal, but were much less competent in specifying exact ECG diagnoses (success rate of 41%). Accuracy rates for some diagnoses (e.g. paced rhythm) fell to as low as 11%. General practitioners performed no better than psychiatry trainees.

Clinical Implications

There is little consensus about minimum acceptable standards in medical skills such as ECG reporting in junior doctors. These competencies are generally ignored in new curriculums. Questions regarding the appropriate remit of psychiatry doctors in this area are raised and the need for more monitoring and education of these skills is queried.

Information

Type
Education & training
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Royal College of Psychiatrists, 2008
Figure 0

Table 1. Participants’ success rates in identifying grossly normal or abnormal ECG

Figure 1

Table 2. Participants’ success rates in identifying an ECG abnormality

Figure 2

Table 3. Relationship between participants’ medical background and their success rates in identifying and naming ECG abnormalities

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