跳至主要内容
临床试验/NCT03297268
NCT03297268Unknown不适用

Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment

University of Virginia1 个研究点 分布在 1 个国家目标入组 24 人开始时间: 2016年5月最近更新:
适应症

试验速览

阶段
不适用
入组人数
24
试验地点
1
主要终点
Improved Caregiver Self-Efficacy

研究概览

简要总结

This 3-phase research plan to employ Behavioral and Environmental Sensing and Intervention (BESI) will overcome the fundamental scientific barriers to realizing prediction of agitation episodes and detection early stages of dementia related agitation. The goal of which is empowering caregivers to intervene early and ultimately reduce agitation, thus reducing caregiver burden and extending aging-in-place and improving the associated quality-of-life and cost benefits.

详细描述

The dementia syndrome of Alzheimer's disease and other disorders is rapidly expanding due to the aging of society and the longevity of citizens. In its varying stages, care of the dementia syndrome requires differing sets of skills from the caregivers, and more skilled intervention is required as the disease progresses. These caregivers experience increased burden due to the challenges and stresses of caring. A recent systematic review of caregiver burden factors revealed dementia-related agitation to be the most prevalent factor leading caregivers to institutionalize community-dwelling loved ones with dementia. Tools that empower caregivers to proactively reduce the incidents and severity of agitation would reduce stress and increase self-efficacy, thereby extending aging-in-place and the associated quality-of-life and cost benefits.

This project proposes to develop, deploy, and evaluate such a tool and to address the fundamental scientific challenges to realizing the benefits of such a technology to caregivers and persons with dementia (PWD). The tool - BESI: Behavioral and Environmental Sensing and Intervention - will be an empowerment tool for caregivers of community-dwelling PWD. BESI comprises:

  1. a system of body-worn inertial sensors and in-home acoustic, light, temperature, and motion sensors,
  2. data analysis techniques to detect and assess agitation and environmental context from these sensor streams,
  3. models for the relationship between agitation and the environment that are trained for each PWD-caregiver dyad based on a&b, and
  4. automated real-time notifications to the caregiver based on b&c (e.g., detection of early agitation stages or of an environment (cumulative and/or instantaneous based on the models) that has led to agitation in the past), empowering the caregiver to intervene before agitation escalation.

研究设计

研究类型
Observational
观察模型
Family Based
时间视角
Cross Sectional

入排标准

年龄范围
50 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Diagnosis of dementia
  • Living in one home for at least 2 months without hospitalization
  • Caregiver seeking support for caregiving needs
  • Have a stable caregiver
  • Be able to provide consent or assent

排除标准

  • Hospitalization in the last 2 months
  • Multiple and inconsistent caregivers
  • Living in multiple homes
  • Unable to provide consent or assent
  • No known dementia

结局指标

主要结局

Improved Caregiver Self-Efficacy

时间窗: 30 days

Increased scores on Revised Scale for Caregiver Self-Efficacy

Decreased Caregiver Burden

时间窗: 30 days

Zarit Burden Interview score lowered

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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