Accurate Measurement of Handwash Quality Using Sensor Armbands: Instrument Validation Study

被引:15
|
作者
Wang, Chaofan [1 ]
Sarsenbayeva, Zhanna [1 ]
Chen, Xiuge [1 ]
Dingler, Tilman [1 ]
Goncalves, Jorge [1 ]
Kostakos, Vassilis [1 ]
机构
[1] Univ Melbourne, Sch Comp & Informat Syst, Doug McDonell Bldg Bldg 168, Parkville, Vic 3010, Australia
来源
JMIR MHEALTH AND UHEALTH | 2020年 / 8卷 / 03期
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
hand hygiene; wearable devices; machine learning; CARE-ASSOCIATED INFECTIONS; HEALTH-CARE; HYGIENE GUIDELINES; RECOGNITION; HOSPITALS; ADHERENCE; FEEDBACK; BURDEN; IMPACT; VIDEO;
D O I
10.2196/17001
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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 20 participants (10 females; mean age 26.5 years, SD 3.3). In a semistructured environment, we collected armband data (acceleration, gyroscope, orientation, and surface electromyography data) and video data from each participant during 15 handrub and 15 handwash sessions. We evaluated the detection accuracy for different armband placements, sensor configurations, user-dependent vs user-independent models, and the use of bootstrapping. Results: Using a single armband, the accuracy was 96% (SD 0.01) for the user-dependent model and 82% (SD 0.08) for the user-independent model. This increased when using two armbands to 97% (SD 0.01) and 91% (SD 0.04), respectively. Performance increased when the armband was placed on the forearm (user dependent: 97%, SD 0.01; and user independent: 91%, SD 0.04) and decreased when placed on the arm (user dependent: 96%, SD 0.01; and user independent: 80%, SD 0.06). In terms of bootstrapping, user-dependent models can achieve more than 80% accuracy after six training sessions and 90% with 16 sessions. Finally, we found that the combination of accelerometer and gyroscope minimizes power consumption and cost while maximizing performance. Conclusions: A sensor armband can be used to measure hand hygiene quality relatively accurately, in terms of both handwashing and handrubbing. The performance is acceptable using a single armband worn in the upper arm but can substantially improve by placing the armband on the forearm or by using two armbands.
引用
收藏
页数:18
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