Enhancing Home Health Mobile Phone App Usability Through General Smartphone Training: Usability and Learnability Case Study.

ABSTRACT: BACKGROUND:Each year, millions of older adults fall, with more than 1 out of 4 older people experiencing a fall annually, thereby causing a major social and economic impact. Falling once doubles one’s chances of falling again, making fall prediction an important aspect of preventative strategies. In this study, 22 older adults aged between 65 and 85 years were trained in the use of a smartphone-based fall prediction system. The system is designed to continuously assess fall risk by measuring various gait and balance parameters using a smart insole and smartphone, and is also designed to detect falls. The use case of the fall prediction system in question required the users to interact with the smartphone via an app for device syncing, data uploads, and checking system status. OBJECTIVE:The

SUBMITTER: Harte R 

PROVIDER: S-EPMC5945986 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature