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In-Home Technology for Caregivers of People With Dementia and Mild Cognitive Impairment: Rural Homes

University of California (UC), Berkeley logo

University of California (UC), Berkeley

Status

Completed

Conditions

Alzheimer Disease
Mild Cognitive Impairment
Dementia

Treatments

Device: Limited In-Home Technology
Device: In-Home Technology System

Study type

Interventional

Funder types

Other
Industry
NIH

Identifiers

NCT05159583
1247267250000-1
2SB1AG059458-04A1 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

This study aims to develop, evaluate, and commercialize an in-home supportive technology that is designed to alleviate anxiety, burden, and loneliness in spousal and familial caregivers of individuals with Alzheimer's disease, other dementias, or mild cognitive impairment in rural homes.

Full description

This study aims to develop, refine, evaluate, and commercialize a hardware/software system designed to integrate in-home sensors and devices, Internet-of-Things technologies (i.e., devices that can be controlled and communicated with via the internet), and social networking to create a more safe and supportive home environment for caregivers and people who have Alzheimer's disease, other dementias, or mild cognitive impairment. The system monitors troublesome behaviors in people with dementia or mild cognitive impairment (e.g., wandering), and targets mechanisms (e.g., worry, social isolation) thought to link behavioral symptoms in people with dementia or mild cognitive impairment with adverse caregiver outcomes (declines in health and well-being). The system is designed to minimize demands on caregivers' limited time and energy and to provide a platform for data collection that can be used by researchers and care professionals.

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.

Enrollment

15 patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Caregivers are fluent/literate in English
  • 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 known non-neurodegenerative conditions affecting behavior and cognition
  • 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

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

15 participants in 2 patient groups

In-Home Technology System
Experimental group
Description:
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).
Treatment:
Device: In-Home Technology System
Limited In-Home Technology System
Sham Comparator group
Description:
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.
Treatment:
Device: Limited In-Home Technology

Trial documents
2

Trial contacts and locations

1

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Central trial contact

Scott Newton, B.A.; Claire Yee, Ph.D.

Data sourced from clinicaltrials.gov

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