“Text It” program to track falls in patients with Alzheimer's disease and dementia

Rebecca J. Kamil; Dara Bakar; Matthew Ehrenburg; Scott Frankenthaler; Eric X. Wei; Eric Anson; Esther Oh; Yuri Agrawal

doi:10.1016/j.trci.2018.03.001

“Text It” program to track falls in patients with Alzheimer's disease and dementia

Rebecca J. Kamil, Dara Bakar, Matthew Ehrenburg, Scott Frankenthaler, Eric X. Wei, Eric Anson, Esther Oh, Yuri Agrawal

School of Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

Introduction: Falls are a significant problem among older adults with Alzheimer's disease, leading to high rates of fracture, hospitalization, and death. Tracking falls in older adults, particularly those with cognitive impairment, is a clinical and research challenge. Methods: This prospective pilot study evaluated the feasibility of a text message program to track falls among patients with dementia. We also compared this technique with the calendar method of fall data collection. Results: There was a 96% completion rate of text messaging and 100% of calendars; however, the text-gathered data were more accurate. Discussion: A text-messaging platform to track falls shows promise in cognitively impaired individuals.

Original language	English (US)
Pages (from-to)	137-140
Number of pages	4
Journal	Alzheimer's and Dementia: Translational Research and Clinical Interventions
Volume	4
DOIs	https://doi.org/10.1016/j.trci.2018.03.001
State	Published - Jan 1 2018

Keywords

Alzheimer's disease
Dementia
Falls
Mobile health
Text It

ASJC Scopus subject areas

Clinical Neurology
Psychiatry and Mental health

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10.1016/j.trci.2018.03.001

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“Text It” program to track falls in patients with Alzheimer's disease and dementia. / Kamil, Rebecca J.; Bakar, Dara; Ehrenburg, Matthew; Frankenthaler, Scott; Wei, Eric X.; Anson, Eric; Oh, Esther ; Agrawal, Yuri.

In: Alzheimer's and Dementia: Translational Research and Clinical Interventions, Vol. 4, 01.01.2018, p. 137-140.

Research output: Contribution to journal › Article › peer-review

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abstract = "Introduction: Falls are a significant problem among older adults with Alzheimer's disease, leading to high rates of fracture, hospitalization, and death. Tracking falls in older adults, particularly those with cognitive impairment, is a clinical and research challenge. Methods: This prospective pilot study evaluated the feasibility of a text message program to track falls among patients with dementia. We also compared this technique with the calendar method of fall data collection. Results: There was a 96% completion rate of text messaging and 100% of calendars; however, the text-gathered data were more accurate. Discussion: A text-messaging platform to track falls shows promise in cognitively impaired individuals.",

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author = "Kamil, {Rebecca J.} and Dara Bakar and Matthew Ehrenburg and Scott Frankenthaler and Wei, {Eric X.} and Eric Anson and Esther Oh and Yuri Agrawal",

note = "Funding Information: The work of E.O. was supported by NIA/NIH K23 award (1K23AG043504-01), the Roberts Gift Fund, and the Ossoff Family Fund. The work of Y.A. was supported by NIH K23 award (5K23DC013056-02). The work of E.A. was supported by NIDCD T32 DC000023. ",

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AU - Kamil, Rebecca J.

AU - Bakar, Dara

AU - Ehrenburg, Matthew

AU - Frankenthaler, Scott

AU - Wei, Eric X.

AU - Anson, Eric

AU - Oh, Esther

AU - Agrawal, Yuri

N1 - Funding Information: The work of E.O. was supported by NIA/NIH K23 award (1K23AG043504-01), the Roberts Gift Fund, and the Ossoff Family Fund. The work of Y.A. was supported by NIH K23 award (5K23DC013056-02). The work of E.A. was supported by NIDCD T32 DC000023.

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