Real-time data monitoring for personalized care in pulmonary disease
REal-time Data Monitoring for Shared Adaptive, Multi-domain and Personalised Prediction and Decision Making for Long-term Pulmonary Care Ecosystems (RE-SAMPLE)
This study is testing how using a mobile app to track daily symptoms can help understand and improve care for people with COPD and other complex health issues.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 710 (estimated) |
| Ages | 40 Years and up |
| Sex | All |
| Sponsor | Medisch Spectrum Twente Academic / other |
| Locations | 1 site (Enschede) |
| Trial ID | NCT04955080 on ClinicalTrials.gov |
What this trial studies
This observational cohort study aims to identify key predictors of disease progression in patients with Chronic Obstructive Pulmonary Disease (COPD) and complex chronic conditions using real-world data collected through a mobile application. Participants will be monitored over a maximum of 38 months, with data collected at baseline, daily symptom diaries, follow-up visits, and during hospitalizations. The study also evaluates the feasibility of collecting real-world data from the patient's perspective, ensuring that the parameters and measurement tools are updated regularly to reflect the most relevant information.
Who should consider this trial
Good fit: Ideal candidates include individuals over 40 years old with a clinical diagnosis of COPD and at least one comorbidity, who are either stable or experiencing exacerbations.
Not a fit: Patients without a diagnosis of COPD or those under 40 years of age may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could enhance personalized treatment strategies for patients with COPD and related comorbidities.
How similar studies have performed: Other studies utilizing real-world data for chronic disease management have shown promise, indicating potential for success in this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Clinical diagnosis of COPD according to the GOLD criteria \[5\] (FEV1 \< 80% of the predicted value and FEV1/FVC \< 0.70); * Patients can be included both at stable state and during exacerbation/hospitalization; * At least one comorbidity: diabetes mellitus (glucocorticoid-induced, or stable type 1 or 2), chronic heart failure (clinical diagnosis according to the ESC guidelines), ischaemic heart disease (history of myocardial infarction, angina pectoris), active symptoms of anxiety and/or depression (≥11 Hospital Anxiety and Depression Scale , and/or anxiety or depression symptoms being treated at the time of inclusion); * Under treatment at one of the pilot sites (MST, TUK, GEM); * \>40 years of age; * Smoker or ex-smoker; * Able to understand, read and write the language spoken in the country of the pilot site. * Accessibility to internet; * Written informed consent from the subject prior to participation. Furthermore, 25% of the patients should also have ≥ 2 exacerbations, defined as respiratory problems that required a course of oral corticosteroids / antibiotics in the two years preceding study entry; and/or ≥ 1 hospitalisation for respiratory problems in the two years preceding study entry; and/or modified MRC (mMRC) score of 3 or 4 (COPD patients with these scores have a higher chance of exacerbating). Exclusion Criteria: * Serious other diseases with a low survival rate; * Presence of any other active lung disease (e.g., sarcoidosis); * Severe psychiatric illness, diagnosed by anamnesis; * Maintenance therapy with antibiotics * Patients with cognitive impairment (Mini Mental State Examination (MMSE) \< 24)
Where this trial is running
Enschede
- Medisch Spectrum Twente — Enschede, Netherlands (Recruiting)
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.