Smartphone Data Offers Objective Fatigue and Activity Assessment in Chronic Diseases
A recent investigation available on arXiv (2608.06380) examines the potential of smartphone interaction data to serve as an objective measure for evaluating fatigue, sleep issues, and changes in daily activities among individuals with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID). Conventional methods depend on patient-reported outcomes (PROs) gathered through standardized questionnaires administered periodically, which can be subjective and overlook short-term fluctuations. The study involved 137 participants from six disease categories, along with a healthy control group, analyzing smartphone usage to gauge symptom intensity. This innovative method may enhance the reliability and frequency of monitoring, thereby benefiting clinical trials and patient management. The results indicate that smartphone-based digital phenotyping could supplement or even replace traditional PROs, presenting a scalable approach to managing chronic illnesses. The research was published on arXiv with the identifier 2608.06380, categorized as 'cross'.
Key facts
- Study uses smartphone data to assess fatigue, sleep, and activity in NDD and IMID patients.
- Traditional PROs are subjective and insensitive to changes over time.
- Data from 137 participants across six disease groups and a healthy control group.
- Smartphone interaction serves as a proxy for symptom assessment.
- Objective assessment could improve reliability and frequency of monitoring.
- Research published on arXiv with ID 2608.06380.
- Announcement type is 'cross'.
- Potential to enhance clinical trials and patient care.
Entities
Institutions
- arXiv