Evidence map›Paper›PMID 40482961›Full record

ArticleContemporary clinical trials2025

A multi-site randomized clinical trial of socially assistive robots on engaging older adults with cognitive impairment residing in long-term care settings: A protocol paper.

Judith A Tate, Lorraine C Mion, Miroslava Migovich, Ritam Ghosh, Nibraas Khan, Abigail Kilpatrick, Douglas W Scharre, Paul A Newhouse, Cathy A Maxwell, Alai Tan and 1 more

Abstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Judith A TateThe Ohio State University, College of Nursing, 295 W. 10th Avenue, Columbus, OH 43210, United States of America. Electronic address: Tate.230@osu.edu.
Lorraine C MionThe Ohio State University, College of Nursing, 295 W. 10th Avenue, Columbus, OH 43210, United States of America.
Miroslava MigovichVanderbilt University, School of Engineering, 2301 Vanderbilt Pl, Nashville, TN 37235, United States of America.
Ritam GhoshVanderbilt University, School of Engineering, 2301 Vanderbilt Pl, Nashville, TN 37235, United States of America.
Nibraas KhanVanderbilt University, School of Engineering, 2301 Vanderbilt Pl, Nashville, TN 37235, United States of America.
Abigail KilpatrickThe Ohio State University, College of Nursing, 295 W. 10th Avenue, Columbus, OH 43210, United States of America.
Douglas W ScharreThe Ohio State University Wexner College of Medicine, Department of Neurology, 395 W. 12(th) Avenue, Columbus, OH 43210, United States of America.
Paul A NewhouseCenter for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23(rd) Avenue South, Nashville, TN 37212, United States of America.
Cathy A MaxwellUniversity of Utah College of Nursing, 10 2000 E, Salt Lake City, UT 84112, United States of America.
Alai TanThe Ohio State University, College of Nursing, 295 W. 10th Avenue, Columbus, OH 43210, United States of America.
Nilanjan SarkarVanderbilt University, School of Engineering, 2301 Vanderbilt Pl, Nashville, TN 37235, United States of America.

Funding

Impact of a Novel Socially Assistive Robotic Architecture on Engaging Older Adults with Mild Cognitive Impairment, Alzheimer's Disease, and Related Dementia in Long Term Care SettingsR01AG062685 · NIA · VANDERBILT UNIVERSITY · PI SARKAR, NILANJAN, TATE, JUDITH ANN · 2020 to 2024
$3.5M
NIA NIH HHS R01 AG062685
6 · The paper itself

Abstract

Apathy is common in persons with dementias, especially those in long-term care facilities (LTCs). Few pharmacologic options exist; a major strategy is to foster engagement in social, physical, and cognitive activities, but requires extensive personnel time. Non-immersive virtual environments (VE) combined with socially assistive robots (VE-SARs) can support LTC staff. We are conducting a randomized multi-site clinical trial to compare the effect of usual care (UC) to VE-SAR + UC on reducing apathy (primary outcome) among 188 older adults with cognitive impairment and enhancing executive cognitive function (secondary outcome). Eligibility of state-licensed LTCs include an hour's drive from the principal investigators' offices, activity personnel willing to interact with research staff, certified by the U.S. Centers for Medicare and Medicaid, and physical space for equipment storage and robot set-up. Eligibility for older adults include age ≥ 60 years, LTC residance >3 months, evidence of mild cognitive impairment or dementia, and symptoms of apathy. Older adults randomized to VE-SAR + UC are paired and participate in twice-weekly sessions for 8 weeks. Staff are interviewed using the Apathy Evaluation Scale-Clinician for apathy ratings. Older adults are interviewed on executive cognitive function using the Trail Making Tests A and B and Animal Naming Test. Data are collected at baseline, Week 4, and Week 8. Field notes are taken throughout and sessions are videorecorded. We will use mixed-effects linear modeling for repeated measures to model apathy as a function of fixed-effects of intervention (VE-SAR + UC vs. UC), time, and intervention by time interaction, adjusting for covariates (e.g., baseline cognitive function).

Indexed as

ApathyCognitive DysfunctionDementiaRoboticsAgedAged, 80 and overExecutive FunctionFemaleHumansLong-Term CareMaleMiddle AgedMulticenter Studies as TopicNursing HomesRandomized Controlled Trials as TopicVirtual RealityApathyDementiaSocially assistive robots

Identifiers

PMID40482961
PMCPMC13362225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.