myAirCoach * The use of home-monitoring and mHealth systems to predict asthma control and the occurrence of asthma exacerbations

Recruiting

• Conditions: asthma; 10038716; asthmatic bronchitis

• Registration Number: NL-OMON43950
• Lead Sponsor: eids Universitair Medisch Centrum

Brief Summary

Not available

Detailed Description

Not available

Study Timeline

• Last Update Posted: 23 April 2024

Recruitment & Eligibility

• Status: Recruiting
• Sex: Not specified
• Target Recruitment: 50

Inclusion Criteria

* Confirmed diagnosis of asthma by either:
o Reversibility of 12% and/or 200ml in a spirometry
o Peak flow monitoring of one week showing *
o Positive bronchial challenge;* Use of regular asthma treatment, minimal 6 months in the previous year
* Age 18+
* A course of oral prednisone for a minimum of three days, or an emergency department visit/hospitalisation for asthma, in the previous twelve months. Or currently experiencing uncontrolled asthma, based on the result of the Asthma Control Questionnaire

Exclusion Criteria

* Well-controlled and without treatment most of the year
* Comorbidities that cause overlapping symptoms such as breathlessness, wheeze, cough or other interfering chronic condition
* Unable to understand English, Dutch

Study & Design

• Study Type: Observational invasive
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>The degree to which the various measurements, alone or in combination, can<br /><br>predict loss of control on asthma during phase one, and the occurrence of<br /><br>(severe) exacerbations during phase two. </p><br>

Secondary Outcome Measures

Name	Time	Method
<p>- User acceptance of mHealth and home-monitoring systems, as determined by user<br /><br>adherence to measurements and the After-Scenario Questionnaire (ASQ) feedback<br /><br>- The influence of seasonality (different seasons) on our primary<br /><br>parameters/endpoints</p><br>