About this trial
The goal of this living-lab clinical trial is to test the effectiveness of digital health monitoring and feedback platform for community dwelling older adults. The main questions it aims to answer are:
* Identify digital sensing variables that are predictive of mental and physical health declines and health emergencies of older adults * Develop digital health monitoring service to inform individualized daily health status of older adults users * Develop ICT network to share the daily health status and emergency signals with community based healthcare service providers and family caregivers if an older adult user approves of them to receive their health information.
Participants will be asked to participate in a living lab using a wearable sensor, motion sensor, and smartphone applications for 6 weeks and also take part in pre-mid-post surveys to evaluate the usability, accuracy, and effectiveness of the digital healthcare service platform to improve health managements and connections with community and family caregivers.
If there is a comparison group: Researchers will compare age and gender matched control group to see if health status of the living-lab group is better than the control group.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Community dwelling older adults who are 65 years old and older
Disqualifiers
Older adults with cognitive, sensory, and functional problems that may hinder them from participating surveys.
Older adults with iOS mobile device that would not allow them to use the developed mobile application.
Older adults in nursing home or who are hospitalized because this platform is designed to support independent living of an older adults in their home.
Trial design
Sequential
Treatments tested in this trial
Living-lab digital intervention group
BehavioralOlder adults will receive individualized daily health feedback via the mobile applications, which will be shared with caregivers. They will also receive support for health emergency by the platform sending automatic emergency push alarm to community and family caregivers.
Treatment groups
Trial outcomes
Primary outcomes
Patient Health Questionnaire-9 (PHQ-9)
PHQ-9 items will be used to assess daily depressive symptoms using a chatbot, the total score ranged from 0 to 27, higher score representing more severe depressive status.
Sleep fragmentation index
Number of awakening divided by total sleep time in percentage, ranged from 0 to 100, higher score indicating more fragmented sleep.
Daily steps
Number of steps per day, which can be ranged from 0 to infinite. Higher numbers of steps indicate more physical activity for the day.
Intensity of physical activity
Minutes of light, moderate, and intense physical activity, which can be ranged from 0 to 1440 minutes. More active minutes at each of the three intensity levels presents more physical activities.
Secondary outcomes
Geriatic depression
Geriatric depression scale score ranges from 0-15 with higher scores indicating more severe depressive symptoms.
SF-12 Quality of life
Short Form survey-12 (SF-12) measures levels of the health related quality of life, which ranges from 0 to 100 with higher scores presenting better quality of life.
Pain related functional limitations
Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), which ranged from 0 to 90 with higher scores indicating worse pain related functional limitations in one's daily living.
Chronic pain
Brief Pain Inventory (BPI) score ranges from 1 to 10 with higher score indicating more severe pain.
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Sunmi Song
Lead sponsor
Korea University
Sponsor institution