Development and validation of an algorithm to assess risk of first-time falling among home care clients

Development and validation of an algorithm to assess risk of first-time falling among home care clients

Abstract Background The falls literature focuses on individuals with previous falls, so little is known about individuals who have not experienced a fall in the past. Predicting falls in those without a prior event is critical for primary prevention of injuries. Identifying and intervening before th...

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Bibliographic Details
Main Authors: Ayse Kuspinar, John P. Hirdes, Katherine Berg, Caitlin McArthur, John N. Morris
Format: Article
Language:English
Published: BMC 2019-10-01
Series:BMC Geriatrics
Subjects:
Falls
Home care
Older adults
Machine learning
interRAI
Online Access:http://link.springer.com/article/10.1186/s12877-019-1300-2

Internet

http://link.springer.com/article/10.1186/s12877-019-1300-2

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