# 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 · $167,400 ## Abstract Project Summary. Community-dwelling persons living with dementia (PLWD) are highly susceptible to avoida- ble emergency department (ED) visits and hospitalizations. Adult day service centers (ADCs) provide commu- nity-based care to a growing number of racially diverse PLWD, the majority of whom are low-income. Daily as- sessment 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 communicate 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 communication 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 inde- pendent scientist who leads a research program that integrates care from ADCs and PCPs using mHealth in- terventions 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 ad- dress health care utilization disparities, developing mHealth interventions using user-centered design princi- ples, and designing and testing behavioral interventions. With the requisite training, I will execute the following specific aims: (1) identify the key domains of an mHealth application intended to support communication be- tween ADCs, PCPs, and informal caregivers regarding the health-related needs of PLWD; (2) design and test the visual layout of an mHealth application intended to support communication between ADCs, PCPs, and in- formal caregivers of PLWD; and (3) develop and examine the feasibility and acceptability of mHealth applica- tion 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 standards 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 information from their medical records using their preferred smartphone ap... ## Key facts - **NIH application ID:** 10414971 - **Project number:** 5K23AG071948-02 - **Recipient organization:** NEW YORK UNIVERSITY - **Principal Investigator:** Tina Sadarangani - **Activity code:** K23 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2022 - **Award amount:** $167,400 - **Award type:** 5 - **Project period:** 2021-06-01 → 2026-03-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10414971 ## Citation > US National Institutes of Health, RePORTER application 10414971, Leveraging mobile health technology to reduce avoidable healthcare utilization in persons with Alzheimer's Disease and Related Dementias in adult day centers (5K23AG071948-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10414971. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*