A prospective field study for sensor-based identification of fall risk in older people with dementia

Objective: Aim of this study was to make a fall prognosis in a cohort of older people with dementia in short-term (2 month), mid-term (4 month) and long-term (8 month) intervals using accelerometry during the subjects' everyday life. Methods: The study was designed as a longitudinal cohort stud...

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Bibliographic Details
Published in:Informatics for health & social care 2014-09, Vol.39 (3-4), p.249-261
Main Authors: Gietzelt, Matthias, Feldwieser, Florian, Gövercin, Mehmet, Steinhagen-Thiessen, Elisabeth, Marschollek, Michael
Format: Article
Language:English
Subjects:
Accelerometer
Accelerometry
Accidental Falls - prevention & control
Aged
Aged, 80 and over
dementia
Dementia - epidemiology
fall risk
Female
Gait - physiology
Geriatric Assessment - methods
health-enabling technologies
Homes for the Aged
Humans
Longitudinal Studies
Male
Nursing Homes
Prognosis
Prospective Studies
Risk Assessment
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Summary:Objective: Aim of this study was to make a fall prognosis in a cohort of older people with dementia in short-term (2 month), mid-term (4 month) and long-term (8 month) intervals using accelerometry during the subjects' everyday life. Methods: The study was designed as a longitudinal cohort study. The subjects were recruited from a nursing home and geriatric assessment tests were conducted at baseline. Each subject underwent four visits and was measured at each visit for one week. Gait episodes were detected and gait parameters were extracted from these episodes. These gait parameters were combined with the falls occurred during the study. A decision tree induction method was used to analyze the data. Results: Forty subjects participated in the study, whereby 12 drop-outs were registered. The geriatric assessment tests were unable to distinguish between the groups (AUC 
ISSN:1753-8157
1753-8165
DOI:10.3109/17538157.2014.931851