Behavioral and Environmental Sensing and Intervention (BESI)

September 27, 2017 updated by: University of Virginia

Behavioral and Environmental Sensing and Intervention for Dementia Caregiver Empowerment

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.

Study Overview

Detailed Description

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.

Study Type

Observational

Enrollment (Anticipated)

24

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Virginia
      • Charlottesville, Virginia, United States, 22904
        • Recruiting
        • University of Virginia
        • Contact:
        • Contact:
        • Principal Investigator:
          • Azziza Bankole, M.D.
        • Sub-Investigator:
          • Martha Anderson, DNP

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

50 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Community sample of people with dementia living at home with unpaid caregivers.

Description

Inclusion Criteria:

  • 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

Exclusion Criteria:

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Phase 1-Controlled Validation & Study Planning
Phase 1 is focused on refining and ultimately verifying BESI's basic sensing and notification functionality and validating BESI's environmental assessments in a controlled setting - namely the laboratory and homes of two healthy volunteers. This phase also serves to support further requirements gathering to refine BESI for community-based deployment. No interventions are delivered.
Phase 2 - In-situ Validation and Ethnographic Analysis
Phase 2 starts the deployment of the technology within a community context, with the goals of validating the system's ability to assess agitation and environmental events in-situ and developing the cyber-sociophysical system models based on the dyad-specific relationship between agitation and the environment. A hybrid remote ethnographic methodology will be used, combining remote BESI measurement and caregiver diaries and a time-series design for the administration of the assessment battery.
Phase 3 - Intervention with Home-Based Caregivers
Phase 3 is the intervention phase and the full realization of BESI. The goal is to employ the validated assessment capabilities and the developed modeling techniques to enable real-time, dyad-specific caregiver notifications that empower a caregiver to intervene with the PWD and/or environment before agitation escalation. In addition to validation of the BESI's ability to provide such appropriate notifications, Phase 3 will also serve as a pilot study about the effect that these notifications have on caregiver empowerment (as measured by self-efficacy) and the frequency and severity of PWD agitation, thus providing proof-of-concept for BESI's potential to improve dyad outcomes and motivating a larger-scale followup study to establish proof-of-practice.
We will assess whether real-time notifications of potential agitation via a wearable wrist device improves caregiver self-efficacy.
Other Names:
  • Real-time caregiver notifications

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Improved Caregiver Self-Efficacy
Time Frame: 30 days
Increased scores on Revised Scale for Caregiver Self-Efficacy
30 days
Decreased Caregiver Burden
Time Frame: 30 days
Zarit Burden Interview score lowered
30 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 1, 2016

Primary Completion (Anticipated)

August 1, 2019

Study Completion (Anticipated)

August 1, 2019

Study Registration Dates

First Submitted

September 20, 2017

First Submitted That Met QC Criteria

September 27, 2017

First Posted (Actual)

September 29, 2017

Study Record Updates

Last Update Posted (Actual)

September 29, 2017

Last Update Submitted That Met QC Criteria

September 27, 2017

Last Verified

September 1, 2017

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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