asthma, COPD
Conditions
Interventions
none
Sponsors
Maastricht University
Eligibility
Inclusion criteria
Inclusion criteria: - 18 years or older - Physician diagnosed asthma or COPD: COPD is defined as subjects with an FEV1/FVC ratio of 12% and > 200ml. - Willingness and demonstration of ability to use a smartphone and fitness watch and to allow remote monitoring of vital signs. - Able to understand, read and write Dutch language.
Exclusion criteria
Exclusion criteria: - Exacerbation of asthma or COPD within 8 weeks of inclusion into the study - Chronic respiratory insufficiency, defined as a resting pO2 6.5 kPa, measured at sea level - Co-morbidities that interfere with the registration or interpretation of symptoms, physical activity or quality of life, such as severe heart failure, interstitial lung diseases, or neuromuscular disorders. - Persons who are dependent on others for activities of daily living. - Persons who use a wheelchair or walker. - Active malignancy. - Expected life-expectancy less than 1 year. - Investigator’s uncertainty about the willingness or ability of the patient to comply with the protocol requirements. - Participation in another study involving (non)-investigational products.
Design outcomes
Secondary
| Measure | Time frame |
|---|---|
| ? To investigate if the digital dyspnoea fingerprint correlates with asthma and COPD severity. ? To investigate if the digital dyspnoea fingerprint in asthma and COPD correlates with quality of life. ? To investigate if the digital dyspnoea fingerprint in asthma and COPD correlates with physical activity. ? To investigate if the digital dyspnoea fingerprint in asthma and COPD correlates with exacerbation occurrence. ? To develop a patient interface consisting of a chatbot smartphone application plus wearable to objectively measure symptoms in an ecological momentary assessment. ? To develop a clinician dashboard that provides meaningful insight into the generated longitudinal patient data. ? To test feasibility and evaluate the system in a real-world outpatient care scenario with COPD and asthma patients. | — |
Primary
| Measure | Time frame |
|---|---|
| To derive a digital fingerprint of dyspnoea in asthma and COPD by combining speech analysis as well as features extracted from spoken dialogue with daily dyspnea measurement as gold standard. | — |
Contacts
Public ContactSami Simons
Maastricht University
Outcome results
None listed