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Utility of mobile learning in Electrocardiography

dataset
posted on 03.12.2020, 13:01 by Charle Viljoen, Rob Scott Millar, Julian Hoevelmann, Elani Muller, Lina Hähnle, Kathryn Manning, Jonathan Naude, Vanessa Burch
Mobile learning is attributed to the assimilation of knowledge derived from accessing information on a mobile device. Although increasingly implemented, research on its utility remains sparse. Fourth- (junior) and sixth-year (senior) medical students and residents analysed and interpreted nine ECGs. For each, they provided their initial diagnosis, key supporting features and final diagnosis consecutively. The randomisation process determined whether ECGs were analysed with a mobile device (either searching the Internet freely or using an ECG reference app) or not after providing the initial diagnosis. Participants indicated their online and in-app search strategies. Two weeks later they analysed the same ECGs without access to any mobile device.

History

Department/Unit

Division of Cardiology, Department of Medicine, University of Cape Town