Cited by 55Asthma and respiratory diseasesNon-Invasive Vital Sign MonitoringMobile Health and mHealth Applications

WEARCON: wearable home monitoring in children with asthma reveals a strong association with hospital based assessment of asthma control

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van der Kamp, M. R., Klaver, E. C., Thio, B. J., Driessen, J. M. M., de Jongh, F. H. C., Tabak, M., van der Palen, J., Hermens, H. J.·2020·BMC Medical Informatics and Decision Making

Published version of a preprint

Abstract

Background: Asthma is one of the most common chronic diseases in childhood. Regular follow-up of physiological parameters in the home setting, in relation to asthma symptoms, can provide complementary quantitative insights into the dynamics of the asthma status. Despite considerable interest in asthma home-monitoring in children, there is a paucity of scientific evidence, especially on multi-parameter monitoring approaches. Therefore, the aim of this study is to investigate whether asthma control can be accurately assessed in the home situation by combining parameters from respiratory physiology sensors. Methods: Sixty asthmatic and thirty non-asthmatic children were enrolled in the observational WEARCON-study. Asthma control was assessed according to GINA guidelines by the paediatrician. All children were also evaluated during a 2-week home-monitoring period with wearable devices; a physical activity tracker, a handheld spirometer, smart inhalers, and an ambulatory electrocardiography device to monitor heart and respiratory rate. Multiple logistic regression analysis was used to determine which diagnostic measures were associated with asthma control. Results: 24 of the 27 uncontrolled asthmatic children and 29 of the 32 controlled asthmatic children could be accurately identified with this model. The final model showed that a larger variation in pre-exercise lung function (OR = 1.34 95%-CI 1.07–1.68), an earlier wake-up-time (OR = 1.05 95%-CI 1.01–1.10), more reliever use (OR = 1.11 95%-CI 1.03–1.19) and a longer respiratory rate recovery time (OR = 1.12 95%-CI 1.05–1.20) were significant contributors to the probability of having uncontrolled asthma. Conclusions: Home-monitoring of physiological parameters correlates with paediatrician assessed asthma control. The constructed multivariate model identifies 88.9% of all uncontrolled asthmatic children, indicating a high potential for monitoring of asthma control. This may allow healthcare professionals to assess asthma control at home. Trial registration: Netherlands Trail Register, NL6087 . Registered 14 February 2017.

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  • Wearables are applied in diverse fields of health.

    “Apart from these 2 examples, wearables are applied in diverse fields of health, including acoustic, gastrointestinal sensors for ileus prediction [18]; UV sun exposure [19]; heat-related illness measurements [20]; electrolyte monitoring, for example, for cystic fibrosis or training management [21,22]; early warning of AF with a wearable ring [23]; generation of electrocardiograms (ECGs) [15];”

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Authors
van der Kamp, M. R., Klaver, E. C., Thio, B. J., Driessen, J. M. M., de Jongh, F. H. C., Tabak, M., van der Palen, J., & Hermens, H. J.
Affiliations
  • Medisch Spectrum Twente (NL)
  • Tjongerschans (NL)
  • Roessingh Research and Development (NL)
Venue
BMC Medical Informatics and Decision Making
Published
2020-08-14
Volume
20
Issue
1
Pages
192-192
ISSN
1472-6947 (ISSN-L)
OpenAlex
W3049239500
Cited by
55
References
48
Citations by year
2026: 7 · 2025: 9 · 2024: 12 · 2023: 10 · 2022: 12 · 2021: 4 · 2020: 1
FWCI
4.06
Type
journal article
Language
en
Open access
Locations
  • BMC Medical Informatics and Decision Making (publishedVersion, cc-by)
  • Research Square (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • University of Twente Research Information (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • University of Twente Research Information (submittedVersion, cc-by)
Funders
Stichting Pediatrisch Onderzoek Enschede (n.a. unrestricted grant)
Topics
  • Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
childhood asthma, asthma control, home monitoring, wearable devices, asthma control assessment, spirometry, smart inhalers, Holter monitoring, physical activity, wake-up time, GINA guidelines
MeSH terms
Fitness Trackers, Asthma, Child, Female, Humans, Male, Netherlands, Spirometry, Exercise, Case-Control Studies, Monitoring, Ambulatory

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