Symptom Monitoring Algorithm
Cross-source consensus on Symptom Monitoring Algorithm from 1 sources and 6 claims.
1 sources · 6 claims
How it works
Risks & contraindications
Where it comes from
Highlighted claims
- The first three consecutive days of app responses are averaged to establish each participant’s baseline score. — Study protocol for testing a mobile app designed to improve health literacy and self-management in people with bronchiectasis: the ANIMA app
- A score increase of at least 3 points from baseline triggers orange or red alerts depending on persistence duration. — Study protocol for testing a mobile app designed to improve health literacy and self-management in people with bronchiectasis: the ANIMA app
- Haemoptysis triggers an immediate alert in the ANIMA algorithm. — Study protocol for testing a mobile app designed to improve health literacy and self-management in people with bronchiectasis: the ANIMA app
- Pulmonologists make all clinical decisions after alerts, while trained medical students collect initial triage data under supervision. — Study protocol for testing a mobile app designed to improve health literacy and self-management in people with bronchiectasis: the ANIMA app
- ANIMA’s questionnaire scores cough, sputum volume, sputum color, haemoptysis, dyspnoea, systemic symptoms, and fever using symptom-specific rules. — Study protocol for testing a mobile app designed to improve health literacy and self-management in people with bronchiectasis: the ANIMA app
- The alert thresholds were informed by the European consensus definition of bronchiectasis exacerbation by Hill and colleagues. — Study protocol for testing a mobile app designed to improve health literacy and self-management in people with bronchiectasis: the ANIMA app