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

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...

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Detalles Bibliográficos
Autores principales: Kamil, Rebecca J., Bakar, Dara, Ehrenburg, Matthew, Frankenthaler, Scott, Wei, Eric X., Anson, Eric, Oh, Esther, Agrawal, Yuri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021553/
https://www.ncbi.nlm.nih.gov/pubmed/29955657
http://dx.doi.org/10.1016/j.trci.2018.03.001
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author Kamil, Rebecca J.
Bakar, Dara
Ehrenburg, Matthew
Frankenthaler, Scott
Wei, Eric X.
Anson, Eric
Oh, Esther
Agrawal, Yuri
author_facet Kamil, Rebecca J.
Bakar, Dara
Ehrenburg, Matthew
Frankenthaler, Scott
Wei, Eric X.
Anson, Eric
Oh, Esther
Agrawal, Yuri
author_sort Kamil, Rebecca J.
collection PubMed
description 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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spelling pubmed-60215532018-06-28 “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 Alzheimers Dement (N Y) Short Report 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. Elsevier 2018-04-07 /pmc/articles/PMC6021553/ /pubmed/29955657 http://dx.doi.org/10.1016/j.trci.2018.03.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Short Report
Kamil, Rebecca J.
Bakar, Dara
Ehrenburg, Matthew
Frankenthaler, Scott
Wei, Eric X.
Anson, Eric
Oh, Esther
Agrawal, Yuri
“Text It” program to track falls in patients with Alzheimer's disease and dementia
title “Text It” program to track falls in patients with Alzheimer's disease and dementia
title_full “Text It” program to track falls in patients with Alzheimer's disease and dementia
title_fullStr “Text It” program to track falls in patients with Alzheimer's disease and dementia
title_full_unstemmed “Text It” program to track falls in patients with Alzheimer's disease and dementia
title_short “Text It” program to track falls in patients with Alzheimer's disease and dementia
title_sort “text it” program to track falls in patients with alzheimer's disease and dementia
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021553/
https://www.ncbi.nlm.nih.gov/pubmed/29955657
http://dx.doi.org/10.1016/j.trci.2018.03.001
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