Stroke
Conditions
Keywords
Stroke, digital behavior, health-related quality of life, cognitive function
Brief 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.
Interventions
OTHERNo intervention or exposure
No intervention or exposure
Sponsors
Leiden University
Carlsberg Foundation
University of Aarhus
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
No
Inclusion criteria
* New or recurrent stroke, admitted to rehabilitation, discharge to own home * Owns an Android smart phone * Smart phone is used by the patient only
Exclusion criteria
* Severe cognitive impairments and / or psychiatric and behavioral conditions that interfere with compliance. * Not able to provide informed consent * Discharge to nursing homes or other care facilities
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Different parameters of digital behavior | Continuously throughout the 90 days of monitoring | Number of interactions with the smart phone, tapping speed, typing speed, social media use |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| EQ5D | Once a week during 12 weeks | Health related quality of life, 5 point subscale, Index values of 0-1 (better), EQ5D VAS 0-100 (better) |
| Mini MoCA | 3 times in three months, after 4, 8 and 12 weeks | Montreal Cognitive Assessment, cognitive function, scale 0-15 (better) |
| SF-36 | 3 times in three months, after 4, 8 and 12 weeks | Health related quality of life, 0-100 (better) |
| Stroke Specific Quality of Life Questionnaire - short version | 3 times in three months, after 4, 8 and 12 weeks | Stroke related quality of life, 12-60 (better) |
Other
| Measure | Time frame | Description |
|---|---|---|
| Health today | Every day throughout 90 days | One question about subjective health, VAS 0-100 (better) |
Countries
Denmark
Contacts
Primary ContactIris Brunner, PhD
Backup ContactJørgen Feldbæk Nielsen, PhD
Outcome results
None listed