myAirCoach Quantification Campaign
Research type
Research Study
Full title
The use of home-monitoring and mHealth systems to predict asthma control and asthma exacerbations
IRAS ID
185603
Contact name
Stephen Fowler
Contact email
Sponsor organisation
University Hospital of South Manchester NHS Trust
Research summary
Asthma is a variable lung condition where patients experience periods of controlled and uncontrolled asthma symptoms. Poor asthma control is associated with an increased risk of exacerbation, reduced quality of life, increased use of healthcare services and reduced productivity. Therefore, the ability to determine and to predict the level of asthma control is useful for patients and their healthcare teams, and may assist in the management of the condition.
There are a variety of home monitoring and mobile health (mHealth) systems available for patients with asthma. The primary aim of this research is to establish whether these systems can be used, individually or in combination, to predict asthma control and the occurrence of asthma exacerbations. We also aim to investigate the acceptability of using these devices in a self-management setting.
This research project will collect physiological, behavioural and environmental data in order to develop a predictive model for asthma control and asthma exacerbations. Data will be collected from 150 patients with asthma, across 3 research centres [Manchester, London and Leiden (the Netherlands) – the Leiden Centre will obtain separate ethical approval], over a 12-month period. This research will occur alongside patients’ normal care. Data will be collected using a range of currently available home-monitoring and mHealth systems. Data will be collected passively from medical registries, by using physiological sensors and environmental databases, and by the active involvement of patients by completing daily home measurements and questionnaires. Patients will be provided with an electronic platform (iPod touch) in order to collate and transfer all the data. These data will undergo computational analysis to develop predictive models.
REC name
North West - Greater Manchester West Research Ethics Committee
REC reference
15/NW/0845
Date of REC Opinion
24 Nov 2015
REC opinion
Further Information Favourable Opinion