Journal article
Accurate Measurement of Handwash Quality Using Sensor Armbands: Instrument Validation Study
Chaofan Wang, Zhanna Sarsenbayeva, Xiuge Chen, Tilman Dingler, Jorge Goncalves, Vassilis Kostakos
JMIR mHealth and uHealth | JMIR Publications | Published : 2020
DOI: 10.2196/17001
Abstract
Background: Hand hygiene is a crucial and cost-effective method to prevent health care–associated infections, and in 2009, the World Health Organization (WHO) issued guidelines to encourage and standardize hand hygiene procedures. However, a common challenge in health care settings is low adherence, leading to low handwashing quality. Recent advances in machine learning and wearable sensing have made it possible to accurately measure handwashing quality for the purposes of training, feedback, or accreditation. Objective: We measured the accuracy of a sensor armband (Myo armband) in detecting the steps and duration of the WHO procedures for handwashing and handrubbing. Methods: We recruited 2..
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Grants
Awarded by Australian Research Council
Awarded by National Health and Medical Research Council
Funding Acknowledgements
This work was partially funded by the Australian Research Council Discovery Project DP190102627 and the National Health and Medical Research Council grant 1170937. CW was supported by a PhD scholarship provided by the Australian Commonwealth Government Research Training Program.