In-Home Technology for Caregivers of People With Dementia and Mild Cognitive Impairment
Last updated on July 2021Recruitment
- Recruitment Status
- Active, not recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Alzheimer Disease
- Dementia
- Mild Cognitive Impairment
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentMasking: Single (Investigator)Masking Description: Participants are randomly assigned to treatment arms by People Power. All participants complete the same questionnaires at the same intervals. University of California, Berkeley investigators are blind as to participants' treatment arm assignment.Primary Purpose: Supportive Care
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
This study aims to develop, refine, and evaluate a new 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...
This study aims to develop, refine, and evaluate a new 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: Caregivers in the full operation condition will have fewer negative effects of caregiving (lower burden, better mental and physical health, higher well-being) than those in the control condition. Greater use of the social networking features of the system will be associated with fewer caregiver depressive symptoms. Greater utilization of the home safety features of the system will be associated with fewer caregiver anxiety symptoms.
Tracking Information
- NCT #
- NCT04206670
- Collaborators
- People Power Company
- National Institute on Aging (NIA)
- University of California, San Francisco
- Investigators
- Study Director: Robert W Levenson, Ph.D. University of California, Berkeley