Utility of mobile learning in Electrocardiography.
App
ECG
Electrocardiography
Internet
Medical education
Mobile learning
Journal
European heart journal. Digital health
ISSN: 2634-3916
Titre abrégé: Eur Heart J Digit Health
Pays: England
ID NLM: 101778323
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
19
12
2020
revised:
18
01
2021
accepted:
18
02
2021
entrez:
30
1
2023
pubmed:
22
2
2021
medline:
22
2
2021
Statut:
epublish
Résumé
Mobile learning is attributed to the acquisition of knowledge derived from accessing information on a mobile device. Although increasingly implemented in medical education, research on its utility in Electrocardiography remains sparse. In this study, we explored the effect of mobile learning on the accuracy of electrocardiogram (ECG) analysis and interpretation. The study comprised 181 participants (77 fourth- and 69 sixth-year medical students, and 35 residents). Participants were randomized to analyse ECGs with a mobile learning strategy [either searching the Internet or using an ECG reference application (app)] or not. For each ECG, they provided their initial diagnosis, key supporting features, and final diagnosis consecutively. Two weeks later, they analysed the same ECGs, without access to any mobile device. ECG interpretation was more accurate when participants used the ECG app (56%), as compared to searching the Internet (50.3%) or neither (43.5%, Whilst mobile learning contributes to increased ECG diagnostic accuracy, the benefits were not sustained over time.
Identifiants
pubmed: 36712390
doi: 10.1093/ehjdh/ztab027
pii: ztab027
pmc: PMC9707875
doi:
Types de publication
Journal Article
Langues
eng
Pagination
202-214Informations de copyright
© The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology.
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