“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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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 languageEnglish (US)
Pages (from-to)137-140
Number of pages4
JournalAlzheimer's and Dementia: Translational Research and Clinical Interventions
StatePublished - Jan 1 2018


  • Alzheimer's disease
  • Dementia
  • Falls
  • Mobile health
  • Text It

ASJC Scopus subject areas

  • Clinical Neurology
  • Psychiatry and Mental health


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