# Leveraging mobile health technology to reduce avoidable healthcare utilization in persons with Alzheimer's Disease and Related Dementias in adult day centers

> **NIH NIH K23** · NEW YORK UNIVERSITY · 2022 · $51,824

## Abstract

Project Summary.
Community-dwelling persons living with dementia (PLWD) are highly susceptible to avoidable emergency de-
partment (ED) visits and hospitalizations. Adult day service centers (ADCs) provide community-based care to a
growing number of racially diverse PLWD, the majority of whom are low-income. Daily assessment and serial
observations by an ADC’s interdisciplinary staff (which includes registered nurses, social workers, and program
directors) support early detection of clinical problems in PLWD. However, when acute changes in health status
occur, ADC staff who wish to provide timely notification to primary care providers (PCPs) frequently cannot do
so effectively. In my prior research, I found that ADC staff relied on facsimile or voicemail message to com-
municate urgent information. This resulted in delayed or non-responses from PCPs and allowed minor health
issues to escalate into medical emergencies. As the number of PLWD in ADCs grows, there is a critical need
to strengthen communication of salient clinical information between ADCs, PCPs, and caregivers to reduce
costly hospitalizations and ED visits. Mobile health (mHealth) interventions have been shown to improve com-
munication and clinical information exchange across a variety of health care settings, but they have not been
designed for ADCs. My goal in seeking a K23 award is to become an independent scientist who leads a re-
search program that integrates care from ADCs and PCPs using mHealth interventions to reduce avoidable
health care utilization disparities in PLWD. With support from an experienced interdisciplinary mentorship
team, I will acquire training in three areas: using integrated health systems to address health care utilization
disparities, developing mHealth interventions using user-centered design principles, and designing and testing
behavioral interventions. With the requisite training, I will execute the following specific aims: (1) Identify patient
and caregiver reported warning signs that can be integrated into an mhealth application in order to address
emerging clinical problems and distressing symptoms among PLWD in ADCs; (2) design and test the visual
layout of an mHealth application intended to support communication between ADCs, PCPs, and informal care-
givers of PLWD; and (3) develop and examine the feasibility and acceptability of mHealth application use
among ADC staff, PCPs, and informal caregivers in reducing hospitalizations and ED visits in PLWD over a 6-
month period. My findings will inform a future R01 proposal to test the efficacy of an intervention using a fully
operational mHealth application. This study is significant because the findings will be used to improve stand-
ards of care and reduce costly and traumatic outcomes in PLWD. It also advances legislation from the Office of
the National Coordinator for Health Information Technology requiring that patients be able to access infor-
mation from their medical records using their pref...

## Key facts

- **NIH application ID:** 10649808
- **Project number:** 3K23AG071948-02S1
- **Recipient organization:** NEW YORK UNIVERSITY
- **Principal Investigator:** Tina Sadarangani
- **Activity code:** K23 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $51,824
- **Award type:** 3
- **Project period:** 2021-06-01 → 2026-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10649808

## Citation

> US National Institutes of Health, RePORTER application 10649808, Leveraging mobile health technology to reduce avoidable healthcare utilization in persons with Alzheimer's Disease and Related Dementias in adult day centers (3K23AG071948-02S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10649808. Licensed CC0.

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