Robot for Alleviating Loneliness and Engaging Nursing Home Residents

December 15, 2023 updated by: Northeastern University

Autonomous Navigating Telepresence Robot for Alleviating Loneliness and Engaging Nursing Home Residents With and Without Dementia

Social isolation is an emerging critical challenge in the care of older adults. Nursing home residents engage for an average of just 12 minutes per day with an activity director, a situation further exacerbated by Covid-19. Social isolation has detrimental effects on health, evidenced by 48.7% of nursing home residents with an active depression diagnosis, and 61% have moderate or severe cognitive impairment. The ultimate goal of this project is to alleviate older adults loneliness and boredom and to improve their mood in an economically feasible and scalable way. The investigators will integrate the existing Vigorous Mind (VM) multidomain activities platform for older adults with an affordable autonomous navigating robot to remotely socialize with and engage long-term-care facility (Facility) residents diagnosed with Mild Cognitive Impairment (MCI) or early-stage Alzheimer s disease or related dementias (Residents). The VM web-based platform has been used for group activities in senior living facilities for eight years. A Resident s profile in VM automatically searches the web and presents their favorite music, reminiscence content, comedy, and personalized brain exercises. VM is secure and HIPAA compliant. A VM employee (VM Companion) with experience running activities in a long-term care facility will be introduced by the staff to a Resident as a new companion who will visit the Resident through the robot to keep them company. The temi robot can be instructed to go to room 312 and it will navigate its way to the room. The Resident will be notified that the VM Companion is arriving for a visit, and once in the room, the VM Companion will see and greet the Resident, and the Resident will see the VM Companion. Since the VM Companion has dashboard access to the Resident s background and interests via the VM profile, they will be able to meaningfully socialize and engage in relevant VM activities. The goal of this Phase I project is to test the feasibility of this idea and to collect preliminary data on its effect on loneliness and mood.

Study Overview

Status

Completed

Detailed Description

Background:

Social isolation and loneliness are critical challenges in older adult care. Loneliness is associated with declines in both physical and mental health. Approximately 50% of older adults over the age of 80 years experience loneliness. Nursing home residents are at a greater risk of loneliness due to limited staffing and COVID-19 visiting restrictions in place. More socially active older adults experience less cognitive decline in old age and better overall functioning. The use of technology for social interaction may have a positive impact on the behavioral and psychological symptoms of Alzheimer's disease (AD) especially in early stages of the disease. Robots are currently used in very few senior living facilities and cognitive support and communication are among the most desired functions. By using an autonomous navigating telepresence robot, the intervention brings the technology to the resident and allows her/him to socialize and interact with a loved-one without the need for a caregiver. This intervention integrates the Vigorous Mind system with the temi autonomous navigating telepresence robot (Vigorous Mind Robot - "VMR").

Aims:

  1. Develop web-based visit scheduler and integrate the VM platform with the temi robot
  2. Test usability of the VMR with 10 Residents and family members
  3. Pilot study of the feasibility of a VMR intervention with 40 Residents

Experimental Design:

Testing of the VMR intervention consisted of a usability and feasibility phase. During usability, residents and family members were trained on use of the VMR robot and web-interface. Family members conducted two virtual visits and usability interviews with residents and family members followed each visit. Feasibility followed usability testing with a three-month period where family members were able to schedule virtual visits as often as they would like. Debriefing interviews with family members and residents occurred at the end of feasibility testing. Resident loneliness and mood was assessed with the UCLA Loneliness Scale, Geriatric Depression Scale, single-item loneliness scale, and PHQ-2.

Study Type

Observational

Enrollment (Actual)

18

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

    • Massachusetts
      • Dedham, Massachusetts, United States, 02026
        • New Bridge on the Charles
      • Weston, Massachusetts, United States, 02493
        • Maplewood Senior Living

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

  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Residents of 2 nursing homes in Massachusetts

Description

Inclusion Criteria:

  • Over 65 years of age
  • Able to read and speak English
  • Recommended by staff or family member

Exclusion Criteria:

  • Uncorrected vision or auditory impairment
  • MoCA < 22

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Overall experience with the robot - for the family
Time Frame: 3 months
5 point Likert scale from maximum of "very good" to minimum of "very poor"
3 months
Overall experience with the robot for the resident
Time Frame: 3 months
5 point Likert scale from maximum of "very good" to minimum of "very poor"
3 months
Ease of use of the robot for the family
Time Frame: 3 months
5 point Likert scale from maximum of "very good" to minimum of "very poor"
3 months
Ease of use of the robot for the resident
Time Frame: 3 months
5 point Likert scale from maximum of "very good" to minimum of "very poor"
3 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Loneliness of resident
Time Frame: 3 months
5 point rating from minimum of "seldom/never" to maximum of "always/often"; change over 3 months
3 months
Change in depression level of resident
Time Frame: 3 months
Change in PHQ-2 score over 3 months
3 months

Collaborators and Investigators

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

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)

June 21, 2022

Primary Completion (Actual)

August 1, 2023

Study Completion (Actual)

November 30, 2023

Study Registration Dates

First Submitted

December 4, 2023

First Submitted That Met QC Criteria

December 15, 2023

First Posted (Estimated)

December 18, 2023

Study Record Updates

Last Update Posted (Estimated)

December 18, 2023

Last Update Submitted That Met QC Criteria

December 15, 2023

Last Verified

December 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • 1R43AG073004-01 (U.S. NIH Grant/Contract)

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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