MyAirCoach: The use of home-monitoring and mHealth systems to predict deterioration in asthma control and the occurrence of asthma exacerbations; Study protocol of an observational study

Honkoop, Persijn J.; Simpson, Andrew; Bonini, Matteo; Snoeck-Stroband, Jiska B.; Meah, Sally; Chung, Kian Fan; Usmani, Omar S.; Fowler, Stephen; Sont, Jacob K.

Abstract

© Published by the BMJ Publishing Group Limited. Introduction Asthma is a variable lung condition whereby patients experience periods of controlled and uncontrolled asthma symptoms. Patients who experience prolonged periods of uncontrolled asthma have a higher incidence of exacerbations and increased morbidity and mortality rates. The ability to determine and to predict levels of asthma control and the occurrence of exacerbations is crucial in asthma management. Therefore, we aimed to determine to what extent physiological, behavioural and environmental data, obtained by mobile healthcare (mHealth) and home-monitoring sensors, as well as patient characteristics, can be used to predict episodes of uncontrolled asthma and the onset of asthma exacerbations. Methods and analysis In an 1-year observational study, patients will be provided with mHealth and home-monitoring systems to record daily measurements for the first-month (phase I) and weekly measurements during a follow-up period of 11 months (phase II). Our study population consists of 150 patients, aged ≥18 years, with a clinician's diagnosis of asthma, currently on controller medication, with uncontrolled asthma and/or minimally one exacerbation in the past 12 months. They will be enrolled over three participating centres, including Leiden, London and Manchester. Our main outcomes are the association between physiological, behavioural and environmental data and (1) the loss of asthma control and (2) the occurrence of asthma exacerbations. Ethics This study was approved by the Medical Ethics Committee of the Leiden University Medical Center in the Netherlands and by the NHS ethics service in the UK. Trial registration number NCT02774772.

Citation

Honkoop, P. J., Simpson, A., Bonini, M., Snoeck-Stroband, J. B., Meah, S., Chung, K. F., Usmani, O. S., Fowler, S., & Sont, J. K. (2017). MyAirCoach: The use of home-monitoring and mHealth systems to predict deterioration in asthma control and the occurrence of asthma exacerbations; Study protocol of an observational study. BMJ open, 7(1), Article ARTN e013935. https://doi.org/10.1136/bmjopen-2016-013935

• Journal Article Type: Article
• Acceptance Date: Dec 30, 2016
• Online Publication Date: Jan 24, 2017
• Publication Date: 2017-01
• Deposit Date: Nov 23, 2017
• Publicly Available Date: Nov 29, 2017
• Journal: BMJ Open
• Print ISSN: 2044-6055
• Publisher: BMJ Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 1
• Article Number: ARTN e013935
• DOI: https://doi.org/10.1136/bmjopen-2016-013935
• Keywords: General Medicine
• Public URL: https://hull-repository.worktribe.com/output/433264
• Publisher URL: http://bmjopen.bmj.com/content/7/1/e013935
• Contract Date: Nov 29, 2017