Dataset Information

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

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 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.

SUBMITTER: Wang C

PROVIDER: S-EPMC7146248 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Wang Chaofan C Sarsenbayeva Zhanna Z Chen Xiuge X Dingler Tilman T Goncalves Jorge J Kostakos Vassilis V

JMIR mHealth and uHealth 20200326 3

<h4>Background</h4>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, feedb ...[more]

PMID: 32213469

Similar Datasets

Project description:BACKGROUND:Ultrasonography is a fast and patient-friendly modality to assess cartilage thickness. However, inconsistent results regarding accuracy have been reported. Therefore, we asked what are (1) the accuracy, (2) reproducibility, and (3) reliability of ultrasonographic cartilage thickness measurement using contrast-enhanced micro-CT for validation? METHODS:A series of 50 cartilage-bone plugs were harvested from fresh bovine and porcine joints. Ultrasonic cartilage thickness was determined using an A-mode, 20-MHz hand-held ultrasonic probe with native (1580?m/s) and adjusted speed of sound (1696?m/s). All measurements were performed by two observers at two different occasions. Angle of insonation was controlled by tilting the device and recording minimal thickness. Retrieval of exact location for measurement was facilitated by aligning the circular design of both cartilage-bone plug and ultrasonic device. There was no soft tissue interference between cartilage surface and ultrasonic probe. Ground truth measurement was performed using micro-CT with iodine contrast agent and a voxel size of 16??m. The mean cartilage thickness was 1.383?±?0.402?mm (range, 0.588-2.460?mm). RESULTS:Mean accuracy was 0.074?±?0.061?mm (0.002-0.256?mm) for native and 0.093?±?0.098?mm (0.000-0.401?mm) for adjusted speed of sound. Bland-Altman analysis showed no systematic error. High correlation was found for native and adjusted speed of sound with contrast-enhanced micro-CT (both r?=?0.973; p?<?0.001). A perfect agreement for reproducibility (intraclass correlation coefficient [ICC] 0.992 and 0.994) and reliability (ICC 0.993, 95% confidence interval 0.990-0.995) was found. CONCLUSIONS:Ultrasonic cartilage thickness measurement could be shown to be highly accurate, reliable, and reproducible. The A-mode ultrasonic cartilage thickness measurement is a fast and patient-friendly modality which can detect early joint degeneration and facilitate decision making in joint preserving surgery.

Project description:IntroductionHealth information is a prerequisite of informed decision-making. Criteria for development, content and presentation have recently been published in a corresponding guideline. Within a systematic search, 27 relevant checklists were identified, none of them, however, complying with the guideline or providing reasonably operationalised measurement items. Therefore, a draft of a checklist with 19 criteria was drafted. The current study aims at developing and validating this measure of quality.Methods and analysisThe validation design consists of five single studies to be conducted at the University of Halle-Wittenberg/Germany and Graz/Austria. (1) Achieving content validity through expert reviews of the first draft, (2) achieving feasibility using 'think aloud' in piloting with untrained users, (3) pretesting the instrument applied to health information materials without use of secondary sources: determining inter-rater reliability and criterion validity, (4) determining construct validity using information on proceedings and methods in the development process provided by the developers and (5) determining divergent validity in comparison with the Ensuring Quality Information for Patients (EQUIP) (expanded) Scale. The substudies will use varying samples of experts, students and developers and will apply the instrument to materials of various domains. Sample sizes will be adjusted to the particular research designs and questions. Analyses will employ qualitative methods, such as content analyses and discourse within the expert panel, and correlation-based methods both for determining inter-rater reliability and validity.Ethics and disseminationThe project is approved by the ethics committee of the Martin Luther University Halle-Wittenberg (approval number: 2019 115). Results will be published, and the instrument made accessible on public health platforms. It is meant to become a certification standard. MAPPinfo can be used as a screening instrument without training or secondary sources. Although developed in the German language, the instrument will be applicable also in other languages.Trial registration numberAsPredected22546; date of registration: 24 July 2019.Protocol versionJuly 2020.

Project description:BackgroundThis paper describes the development of the Chinese Quality of Life Instrument (ChQOL) which is a self-report health status instrument. Chinese Medicine relies very much on asking subjective feelings of patients in the process of diagnosis and monitoring of treatment. For thousands of years, Chinese Medicine practitioners have accumulated a good wealth of experiences in asking questions about health of their patients based on the concept of health in Chinese Medicine. These experiences were then transformed into questions for the ChQOL. It is believed that ChQOL can contribute to the existing Patient Report Outcome measures. This paper outlines the concept of health and disease in Traditional Chinese Medicine, the building of the conceptual framework of the ChQOL, the steps of drafting, selecting and validating the items, and the psychometric properties of the ChQOL.MethodsThe development of the ChQOL was based on the concept of health in Traditional Chinese Medicine with a theory driven approach. Based on the results of literature review, the research team developed an initial model of health which encompassed the concept of health in TCM. An expert panel was then invited to comment and give suggestions for improvement of the initial model. According to their suggestions, the model was refined and a set of initial items for the ChQOL was drafted. The refined model, together with the key domains, facets and initial items of the ChQOL were then mailed to a sample of about 100 Chinese medicine practitioners throughout Mainland China for their comments and advice. A revised set of items were developed for linguistic testing by a convenience sample consisting of both healthy people and people who attended Chinese Medicine treatment. After that, an item pool was developed for field-testing. Field test was conducted on a convenience sample of healthy and patient subjects to determine the construct validity and psychometric properties of the ChQOL.ResultsConstruct validity was established by various methods, i.e. the internal consistency in all facets and domains were good; the correlation between facets to domain, and domains to overall ChQOL correlation were high; confirmatory factor analysis showed that the structure fitness of all facets, domain and overall structure were good with CFI > 0.9. Test-retest reliability was also good, especially in the domain scores with ICC value ranging from 0.83 to 0.90. No ceiling or floor effect was noted which indicated that ChQOL can be applied to subjects with a wide range of health status. Most facet scores, domain scores and the overall CHQOL scores were able to discriminate groups of subjects with known differences in health status. The ChQOL had mild positive convergence with the other generic health related QOL measures, i.e. the WHOQOL-100 and the SF-36, with moderate correlations.ConclusionIn conclusion, the study indicated that the ChQOL is conceptually valid with satisfactory psychometric properties. It can provide additional information on health and QOL on top of the existing generic health related QOL measures. Furthermore, it forms basis for further testing and applications in clinical trials.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets