In-Home Technology for Caregivers of People With Dementia and Mild Cognitive Impairment: Rural Homes
NCT ID: NCT05159583
Last Updated: 2025-02-25
Study Results
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View full resultsBasic Information
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COMPLETED
NA
15 participants
INTERVENTIONAL
2022-08-22
2024-01-30
Brief Summary
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Detailed Description
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Hypotheses:
1. Rural caregivers in the active treatment condition will have better health and well-being (i.e., less caregiver depression, anxiety, loneliness, and burden) and higher user satisfaction compared to those in the control condition.
2. The magnitude of the difference in health and well-being and user satisfaction for rural caregivers in the active treatment condition compared to those in the control condition will increase over time (reflecting additional bot learning and ability to adjust to changing caregiver needs).
3. In the active treatment condition, greater utilization of features (e.g., selecting and receiving warnings, obtaining daily reports, accessing social support services) will be associated with better caregiver health and well-being and higher user satisfaction.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
SUPPORTIVE_CARE
SINGLE
Study Groups
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In-Home Technology System
The full system \[(a) 1 advanced gateway with a dual-SIM cellular connection to communicate/control the equipment; (b) 5 indoor motion sensors; (c) 3 door/cabinet entry sensors; (d) 1 water leak sensor; (e) 1 "call for help" button; (f) 2 motion-activated LED night lights; (g) 2 Vayyar fall detection and sleep quality sensors\] will be self-installed by 60 rural caregivers in their homes. Monitoring of sensors, provision of warnings, messaging, and social networking features will be activated remotely for those participants who have been randomly assigned to this arm. Participation will extend over a 6 month period with questionnaires (e.g., health and well-being) administered 3 times (at the time of installation and every 3 months thereafter).
In-Home Technology System
Intelligent bots monitor the in-home sensors, learn typical patterns, and provide caregivers with text messages and alerts via cell phone when worrisome behaviors occur. Caregivers are able to: (a) select services (e.g., warnings for falls, wandering, late night activity); (b) access daily reports (summaries of daily activities that can also be shared with health care providers); and (c) obtain support (e.g. Caregiver Support Groups that connect caregivers with knowledgeable experts and other caregivers, Caregiver Events that provide virtual meetings about relevant topics, and Trusted Circle task management to distribute the caregiving work load).
Limited In-Home Technology System
The full system \[(a) 1 advanced gateway with a dual-SIM cellular connection to communicate/control the equipment; (b) 5 indoor motion sensors; (c) 3 door/cabinet entry sensors; (d) 1 water leak sensor; (e) 1 "call for help" button; (f) 2 motion-activated LED night lights; (g) 2 Vayyar fall detection and sleep quality sensors\] will be self-installed by 60 rural caregivers in their homes. Only monitoring of the water leak sensor and associated warnings will be activated remotely for those participants who have been randomly assigned to this arm.
Limited In-Home Technology
Intelligent bots monitor the in-home water leak sensor and provide caregivers with text messages and alerts via cell phone when worrisome conditions occur.
Interventions
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In-Home Technology System
Intelligent bots monitor the in-home sensors, learn typical patterns, and provide caregivers with text messages and alerts via cell phone when worrisome behaviors occur. Caregivers are able to: (a) select services (e.g., warnings for falls, wandering, late night activity); (b) access daily reports (summaries of daily activities that can also be shared with health care providers); and (c) obtain support (e.g. Caregiver Support Groups that connect caregivers with knowledgeable experts and other caregivers, Caregiver Events that provide virtual meetings about relevant topics, and Trusted Circle task management to distribute the caregiving work load).
Limited In-Home Technology
Intelligent bots monitor the in-home water leak sensor and provide caregivers with text messages and alerts via cell phone when worrisome conditions occur.
Eligibility Criteria
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Inclusion Criteria
* Caregivers currently reside in the United States with spouse/family member who has received a medical diagnosis of Alzheimer's disease, other dementia, or mild cognitive impairment
* Caregivers live in rural areas (using Rural-Urban Commuting Area Codes data)
* Caregivers primarily use a smartphone (e.g., iPhone, Android)
Exclusion Criteria
* Caregivers providing care for individuals with longstanding Axis I psychiatric disorder
* Caregivers providing care for individuals with metabolic disorder or major organ dysfunction
* Caregivers providing care for individuals with alcohol abuse or dependence (within 5 years of dementia onset)
* Caregivers providing care for individuals with head trauma with loss of consciousness greater than 30 minutes
* Caregivers providing care for individuals with contraindications to MRI imaging
* Caregivers providing care for individuals with large confluent white matter lesions
* Caregivers providing care for individuals with significant systemic medical illness
* Caregivers providing care for individuals who use a medication likely to affect central nervous system functions adversely
18 Years
ALL
Yes
Sponsors
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People Power Company
INDUSTRY
National Institute on Aging (NIA)
NIH
University of California, San Francisco
OTHER
University of California, Berkeley
OTHER
Responsible Party
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Robert Levenson
Professor of the Graduate School, Department of Psychology
Principal Investigators
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Robert Levenson, Ph.D.
Role: STUDY_DIRECTOR
University of California, Berkeley
Locations
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University of California, Berkeley
Berkeley, California, United States
Countries
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References
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Chen KH, Wells JL, Otero MC, Lwi SJ, Haase CM, Levenson RW. Greater Experience of Negative Non-Target Emotions by Patients with Neurodegenerative Diseases Is Related to Lower Emotional Well-Being in Caregivers. Dement Geriatr Cogn Disord. 2017;44(5-6):245-255. doi: 10.1159/000481132. Epub 2017 Dec 8.
Lwi SJ, Ford BQ, Casey JJ, Miller BL, Levenson RW. Poor caregiver mental health predicts mortality of patients with neurodegenerative disease. Proc Natl Acad Sci U S A. 2017 Jul 11;114(28):7319-7324. doi: 10.1073/pnas.1701597114. Epub 2017 Jun 27.
Otero MC, Levenson RW. Lower Visual Avoidance in Dementia Patients Is Associated with Greater Psychological Distress in Caregivers. Dement Geriatr Cogn Disord. 2017;43(5-6):247-258. doi: 10.1159/000468146. Epub 2017 Apr 11.
Brown CL, Lwi SJ, Goodkind MS, Rankin KP, Merrilees J, Miller BL, Levenson RW. Empathic Accuracy Deficits in Patients with Neurodegenerative Disease: Association with Caregiver Depression. Am J Geriatr Psychiatry. 2018 Apr;26(4):484-493. doi: 10.1016/j.jagp.2017.10.012. Epub 2017 Dec 27.
Provided Documents
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Document Type: Study Protocol
Document Type: Statistical Analysis Plan
Other Identifiers
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1247267250000-1
Identifier Type: -
Identifier Source: org_study_id
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