Quantifying Digital Behavior on Smart Phones - Data From Stroke Survivors

Study Overview
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Brief Summary
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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
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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.

Official Title
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Quantifying Digital Behavior on Smart Phones - Data From Stroke Survivors

Conditions
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Stroke

Intervention / Treatment
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* Other: No intervention or exposure


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 100 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Intervention/Treatment |
| --- |
|Other: No intervention or exposure|No intervention or exposure|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Different parameters of digital behavior | Number of interactions with the smart phone, tapping speed, typing speed, social media use | Continuously throughout the 90 days of monitoring | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| EQ5D | Health related quality of life, 5 point subscale, Index values of 0-1 (better), EQ5D VAS 0-100 (better) | Once a week during 12 weeks | 
| Mini MoCA | Montreal Cognitive Assessment, cognitive function, scale 0-15 (better) | 3 times in three months, after 4, 8 and 12 weeks | 
| SF-36 | Health related quality of life, 0-100 (better) | 3 times in three months, after 4, 8 and 12 weeks | 
| Stroke Specific Quality of Life Questionnaire - short version | Stroke related quality of life, 12-60 (better) | 3 times in three months, after 4, 8 and 12 weeks | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Stroke, digital behavior, health-related quality of life, cognitive function