Poster Session  |   August 2016
Senior SWAY: A Mobile Application to Predict Fall Risk in Older Adults
Author Affiliations
  • University of North Carolina at Chapel Hill
Article Information
Geriatrics/Productive Aging / Assessment/Measurement
Poster Session   |   August 2016
Senior SWAY: A Mobile Application to Predict Fall Risk in Older Adults
American Journal of Occupational Therapy, August 2016, Vol. 70, 7011500063p1. doi:10.5014/ajot.2016.70S1-PO5122
American Journal of Occupational Therapy, August 2016, Vol. 70, 7011500063p1. doi:10.5014/ajot.2016.70S1-PO5122
Abstract

Date Presented 4/8/2016

This study evaluated a new mobile application’s ability to predict fall risk in older adults. Senior SWAY was significantly associated with patient-reported previous falls and the Timed Up and Go. This application could potentially ease identification of older adults at risk of falling.

Primary Author and Speaker: Mackenzi Pergolotti

Additional Author and Speaker: Ashley Bryant

Contributing Authors: A. Bennett, G. R. Williams