NCT04405635

Quantifying Digital Behavior on Smart Phones - Data From Stroke Survivors

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 50 (estimated)
• Sponsor: University of Aarhus · Academic / Other
• Sex: All
• Age: 18 Years – 100 Years
• Healthy volunteers: Not accepted

Summary

In this study, we want to continuously record the interaction of 50 stroke survivors with their smartphones during the first 3 months after discharge. The linkage of smart phone use to function and quality of life will be assessed with standardized outcome measures at defined time points.

Detailed description

People with stroke are among the most relevant target groups for unobtrusive monitoring. Worldwide, stroke is the second most frequent cause for lasting disability and causes a substantial burden for the individual, caregivers and society. Thanks to improved treatment, many stroke survivors can be discharged to their homes. However, many have to live with disabilities and are prone to declining function, cognitive impairment and depression. With the acquired data, we want to create a database where digital behavior is analyzed with advanced computational methods. In collaboration with the Department of Cognitive Psychology, University of Leiden, Netherlands, these data will be used to discover specific features for different health issues and to develop tools for the early detection of functional decline for different populations.

Conditions

• Stroke

Interventions

Type	Name	Description
OTHER	No intervention or exposure	No intervention or exposure

Timeline

• Start date: 2020-05-30
• Primary completion: 2024-07-28
• Completion: 2024-08-30
• First posted: 2020-05-28
• Last updated: 2023-12-07

Locations

1 site across 1 country: Denmark