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A Fall Risk mHealth App for Older Adults: Development and Usability Study

A Fall Risk mHealth App for Older Adults: Development and Usability Study

These data, alongside data from the health history questionnaire, are entered into a weighted algorithm to produce a score ranging from 0-100 and classified into a very low, low, moderate, high, or very high risk of falling (Figure 4). Lower scores represent a greater risk for falls. Screenshot of the healthy history questionnaire. Screenshot of the tandem stance task. Participants report their ability to complete each balance task. Final fall risk score; lower scores represent a greater risk for falls.

Katherine L Lee Hsieh, Jason T Fanning, Wendy A Rogers, Tyler A Wood, Jacob J Sosnoff

JMIR Aging 2018;1(2):e11569