# Home-based Digital Technologies: A Translational Approach to Support Aging-in-Place for Rural African-Americans with Alzheimer’s Disease and their Care Partners

> **NIH NIH K01** · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · 2024 · $186,251

## Abstract

PROJECT SUMMARY
Candidate and Career Development Plan: This REDI Mentored Entrepreneurial Career Development Award
(K01) will support Otis (Shaun) Owens, Ph.D. to establish an independent program of translational research for
supporting aging-in-place for African-Americans living with ADRD and their care partners. Dr. Owens is an
Associate Professor at the University of South Carolina’s College of Social Work with expertise in developing
technology-based programs to support healthy aging. Dr. Owens will strengthen and address gaps in his
experience through a mentored training program focusing on: (1) advancing his knowledge of remote monitoring
technologies for aging-in-place among community-dwelling individuals living with ADRD (2) developing skills in the
quantitative research methods used to analyze and visualize longitudinal sensor data from remote monitoring
technologies; and (3) building the entrepreneurial acumen for transforming academic innovations into
commercially viable products or services. Mentoring and Environment: Dr. Owens is supported by a team of
senior researchers/mentors, including Dr. Sue Levkoff in ADRD, Drs. Jeffrey Kaye in remote monitoring
technologies/data analytics, and Mr. Larry Frye in entrepreneurship. Training activities will take place at two highly
collaborative research environments i.e., the University of South Carolina, and Oregon Health & Science
University. Research: Rural, low-income African-Americans have the highest ADRD incidence and prevalence
rates but have the least access to formal quality dementia-relate care. To support aging-in-place among
individuals living with ADRD, there is growing evidence that demonstrates remote monitoring technologies can
augment care partners and other support services by facilitating the completion of activities of daily living and
maintaining communication between individuals living with ADRD and their care partners. Despite the success of
remote technologies, no studies have investigated the impact of remote monitoring on the acceptability, feasibility,
and effectiveness of remote monitoring technologies among rural, lower-income African Americans living with
ADRD and their care partners. Understanding the impact of remote monitoring technology on this population can
guide the development of tailored aging-in-place interventions for rural, lower-income African Americans living with
ADRD and their care partners. Specific Aims: Among rural, low-income African Americans living with ADRD, I
seek to (1) identify barriers to aging-in-place, current technology use behaviors, and attitudes toward remote
monitoring technologies among low-income African Americans living with ADRD and their care partners and (2)
examine the usability, acceptability, and feasibility of deploying a remote monitoring system in the homes of rural
low-income African-Americans living with ADRD and their care partners for supporting activities of daily living. The
proposed mentored research and training...

## Key facts

- **NIH application ID:** 10954495
- **Project number:** 1K01AG088783-01
- **Recipient organization:** UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
- **Principal Investigator:** Otis LaShaun Owens
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $186,251
- **Award type:** 1
- **Project period:** 2024-08-09 → 2028-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10954495

## Citation

> US National Institutes of Health, RePORTER application 10954495, Home-based Digital Technologies: A Translational Approach to Support Aging-in-Place for Rural African-Americans with Alzheimer’s Disease and their Care Partners (1K01AG088783-01). Retrieved via AI Analytics 2026-06-12 from https://api.ai-analytics.org/grant/nih/10954495. Licensed CC0.

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