mHealth in Grown-up Congenital Heart Disease
Completed
- Conditions
- Congenital heart diseasesymptomatic1001039410007510
- Registration Number
- NL-OMON49010
- Lead Sponsor
- Academisch Medisch Centrum
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 196
Inclusion Criteria
> 18 years
Congenital heart disease patient
Symptomatic in the last 1 year: Heart failure NYHA class * II, palpitations or
arrhythmias, hypertension.
Patients with a genetic abnormality resulting in an altered cardiac anatomy or
function.
Exclusion Criteria
Unable to give informed consent
Tremor
Not in possession of smart phone or personal computer
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p> The primary research question is to assess the effect of mHealth-based<br /><br>monitoring on the number of contact moments with the hospital (i.e. contact<br /><br>with the outpatient clinic (visits and telephone consults), visits to the<br /><br>emergency department, and hospitalizations), in comparison with the control<br /><br>group. </p><br>
- Secondary Outcome Measures
Name Time Method <p>Secondary research questions are superiority of health-related quality of life,<br /><br>as measured with the EuroQol-5D-5L, SF-36 and PAM-13 using the mHealth<br /><br>intervention in comparison with the control group and the number of contact<br /><br>moments, outpatient clinic visits, ER visits and emergency admissions. Research<br /><br>questions on cost effectiveness are whether a mHealth-based monitoring pathway<br /><br>leads to cost reduction through change in the number of contact moments with<br /><br>the hospital (i.e. contact with the outpatient clinic (visits and telephone<br /><br>consults), visits to the emergency department, and hospitalizations), in<br /><br>comparison with the control group.</p><br>
Related Research Topics
Explore scientific publications, clinical data analysis, treatment approaches, and expert-compiled information related to the mechanisms and outcomes of this trial. Click any topic for comprehensive research insights.
What molecular mechanisms underlie mHealth interventions in managing congenital heart disease symptoms?
How does eGUCH compare to traditional monitoring methods in improving outcomes for grown-up congenital heart disease patients?
What biomarkers are used to identify patients most likely to benefit from mHealth in GUCH?
What adverse events are associated with mHealth platforms in congenital heart disease management?
Are there combination therapies or digital health tools that enhance mHealth effectiveness in GUCH?