Evidence map›Paper›PMID 41106818›Full record

ArticleJMIR research protocols2025

Home-Based Digital Technologies to Support Aging-in-Place for Rural African American People With Alzheimer Disease and Their Care Partners: Protocol for a Mixed Methods Feasibility Study.

Otis Owens, Rahul Ghosal, Zachary Beattie, Jeffrey Kaye, JiaJia Zhang, Nora Mattek, Joel Steele, Thomas Riley, Nicole Sharma, Larry Frye and 2 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Otis OwensCollege of Social Work, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-1023-1449
Rahul GhosalDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-0939-4731
Zachary BeattieDepartment of Neurology, The Oregon Center for Aging and Technology, School of Medicine, Oregon Health & Science University, Portland, OR, United States.ORCID 0000-0002-4844-7122
Jeffrey KayeDepartment of Neurology, The Oregon Center for Aging and Technology, School of Medicine, Oregon Health & Science University, Portland, OR, United States.ORCID 0000-0002-9971-3478
JiaJia ZhangDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-4566-0822
Nora MattekThe Oregon Center for Aging and Technology, School of Medicine, Oregon Health & Science University, Portland, OR, United States.ORCID 0000-0003-2623-1969
Joel SteeleSchool of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, United States.ORCID 0009-0008-4127-5664
Thomas RileyThe Oregon Center for Aging and Technology, School of Medicine, Oregon Health & Science University, Portland, OR, United States.ORCID 0000-0001-8662-4428
Nicole SharmaThe Oregon Center for Aging and Technology, School of Medicine, Oregon Health & Science University, Portland, OR, United States.ORCID 0000-0003-2794-3271
Larry FryeLife Analytics, Incorporated, Woodside, CA, United States.ORCID 0009-0001-6031-5587
Leonardo BonilhaDepartment of Neurology, School of Medicine, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-6153-8942
Sue LevkoffCollege of Social Work, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-2905-3491

Funding

Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
Pilot CoreP30AG024978 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2004 to 2023
$9.0M
Resource CoreU2CAG054397 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KAYE, JEFFREY A · 2016 to 2019
$7.0M
Home-based Digital Technologies: A Translational Approach to Support Aging-in-Place for Rural African-Americans with Alzheimer’s Disease and their Care PartnersK01AG088783 · NIA · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Otis LaShaun Owens · 2024 to 2026
$552k
NIA NIH HHS K01 AG088783NIA NIH HHS P30 AG024978NIA NIH HHS P30 AG066518NIA NIH HHS U2C AG054397
6 · The paper itself

Abstract

backgroundRural, low-income African American people have the highest Alzheimer disease and related dementia (ADRD) incidence and prevalence rates but have the least access to formal dementia care. To support individuals living with ADRD, growing evidence suggests that remote monitoring technologies can augment existing care by facilitating the completion of activities of daily living (ADLs) and maintaining communication between individuals living with ADRD and their care partners. Despite the success of remote technologies, no studies have investigated the usability, acceptability, and feasibility of these technologies among rural, lower-income African American people living with ADRD and their care partners. Understanding the potential impact of remote monitoring technology on this population can guide the development of tailored aging-in-place interventions.

objectiveAmong rural, low-income African American people living with ADRD and their care partners, our study, "Revolutionizing Empowerment of African Americans' Cognitive Health Through Innovative Technology," aims (1) to identify barriers to aging-in-place, current technology use behaviors, and attitudes toward remote monitoring technologies and (2) to examine the usability, acceptability, and feasibility of deploying a remote monitoring system in the homes of this population for supporting ADLs.

methodsIn total, 10 low-income African American people living with ADRD and their care partners will be recruited from rural cities in South Carolina. Participants will complete a short web-based survey to collect demographics and their knowledge, experience, and comfort with using internet-connected devices, followed by 45- to 60-minute in-depth interviews (objective 1). In phase 2 (ie, objective 2), 10 additional pairs of participants will be recruited to use a remote monitoring system for 18 months. "Weekly Health Update" surveys will measure changes in health and time spent at home. In-depth interviews will be used at 18 months to examine the usability and acceptability of the system. Feasibility will be determined by the percentage of days data are collected across all sensors.

resultsThis study was approved by the institutional review board in June 2024. Recruitment for objective 1 began in January 2025. To date, 5 persons living with ADRD and their care partners have been recruited, surveyed, and interviewed about their challenges to aging with ADRD or caring for someone with the disease, technology use, and openness to remote monitoring technology. Recruitment for objective 2 is anticipated to begin in fall 2025, and data collection will conclude by May 2027. Results for objectives 1 and 2 are expected to be published in fall 2026 and winter 2027, respectively.

conclusionsFindings from the Revolutionizing Empowerment of African Americans' Cognitive Health Through Innovative Technology study will contribute to the refinement of the Collaborative Aging Research Using Technology platform, a multisensor remote monitoring system to support the ADLs for low-income, rural-dwelling African American people living with ADRD. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/78623.

Indexed as

Alzheimer DiseaseBlack or African AmericanCaregiversDigital TechnologyActivities of Daily LivingAgedFeasibility StudiesFemaleHumansIndependent LivingMaleRural PopulationTelemedicineaging-in-placeAlzheimer diseaseBlack or African Americancaregiversculturally appropriate technologydementiadigital technologyinternet of thingsremote patient monitoringrural healthwearable electronic devices

Identifiers

PMID41106818
PMCPMC12579302

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.