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Insights on an automated fall detection device designed for older adult wheelchair and scooter users: A qualitative study

Authors :
Rice, Laura A.
Fliflet, Alexander
Frechette, Mikaela
Brokenshire, Rachel
Abou, Libak
Presti, Peter
Mahajan, Harshal
Sosnoff, Jacob
Rogers, Wendy A.
Source :
Disability and Health Journal; January 2022, Vol. 15 Issue: 1, Number 1 Supplement 1
Publication Year :
2022

Abstract

Falls are a concern for older adults who use wheelchairs and scooters. Many wheelchair and scooter users require assistance to recover from a fall and often lie on the ground waiting for assistance for 10 min or more. An automated fall detection device may facilitate communication with care partners and expedite recovery; however, there is limited research on the specifications and features of an automated fall detection device preferred by older adults who use wheelchair and scooter.

Details

Language :
English
ISSN :
19366574
Volume :
15
Issue :
1, Number 1 Supplement 1
Database :
Supplemental Index
Journal :
Disability and Health Journal
Publication Type :
Periodical
Accession number :
ejs57615709
Full Text :
https://doi.org/10.1016/j.dhjo.2021.101207