Development of a Healthcare Service Platform for Successful Aging
Development of an Integrated Contactless Healthcare Service Platform Based on Intelligent IoT for the Successful Aging of the Elderly
1 other identifier
interventional
84
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Oct 2020
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 21, 2020
CompletedFirst Submitted
Initial submission to the registry
November 1, 2023
CompletedFirst Posted
Study publicly available on registry
February 21, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 30, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
November 30, 2030
February 21, 2024
February 1, 2024
6.1 years
November 1, 2023
February 13, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (5)
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.
Daily assessments across 6 weeks
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 assessments across 6 weeks
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.
Daily assessments across 6 weeks
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.
Daily assessments across 6 weeks
Heart rate variability
Daily assessments of heart rate variability
Daily assessments across 6 weeks
Secondary Outcomes (4)
Geriatic depression
Before and after the 6 week living lab periods
SF-12 Quality of life
Before and after the 6 week living lab periods
Pain related functional limitations
Before and after the 6 week living lab periods
Chronic pain
Before and after the 6 week living lab periods
Study Arms (2)
Living-lab digital intervention group
EXPERIMENTALDigital devices (wearable and motion sensor) and mobile application will be utilized to monitor mental and physical health status and provide daily individualized health status information to an older adult user and their community and family caregivers. The older adult users are also asked to participate in pre-mid-post surveys to evaluate health, usability, effectiveness, and safety of the developed platform service.
Control group
NO INTERVENTIONThe participated in the control group are asked to participate in pre-mid-post surveys to evaluate health status.
Interventions
Older 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.
Eligibility Criteria
You may qualify if:
- Community dwelling older adults who are 65 years old and older
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Sunmi Songlead
Study Sites (1)
Korea University
Seoul, 02841, South Korea
Related Publications (1)
Song S, Seo Y, Hwang S, Kim HY, Kim J. Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot Study. JMIR Mhealth Uhealth. 2024 Jun 17;12:e55842. doi: 10.2196/55842.
PMID: 38885033DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Junesun Kim, PhD
Korea University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Masking Details
- Control group was informed that they participated in the study with a repeated measure survey about digital healthcare for elderly without detailed descriptions on the living-lab intervention.
- Purpose
- PREVENTION
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Research Professor
Study Record Dates
First Submitted
November 1, 2023
First Posted
February 21, 2024
Study Start
October 21, 2020
Primary Completion (Estimated)
November 30, 2026
Study Completion (Estimated)
November 30, 2030
Last Updated
February 21, 2024
Record last verified: 2024-02