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71 Discriminative Ability of a Falls Screening Mobile Application in Identifying Fallers among Community Dwelling Older Adults: Preliminary Results
Author(s) -
Jing Wen Goh,
Devinder Kaur Ajit Singh,
Suzana Shahar
Publication year - 2019
Publication title -
age and ageing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.014
H-Index - 143
eISSN - 1468-2834
pISSN - 0002-0729
DOI - 10.1093/ageing/afz164.71
Subject(s) - medicine , poison control , injury prevention , occupational safety and health , falls in older adults , suicide prevention , geriatric depression scale , gerontology , physical therapy , physical medicine and rehabilitation , medical emergency , cognition , depressive symptoms , psychiatry , pathology
Early falls screening among community dwelling older adults is important as a part of falls prevention strategy. Falls Screening Mobile Application (FallSA) was demonstrated to be accepted, reliable and valid to be used for self-risk assessment among community dwelling older adults in an earlier study. However, its discriminative ability is unknown. We aimed to examine the discriminative ability of FallSA in classifying fallers and non-fallers among community dwelling older adults. Methodology A total of 182 community dwelling older adults with mean age of 71.42 ± 5.1 participated in this cross sectional study. Participants demographic and falls history data were obtained. Participants with one or more falls were categorized as fallers. FallSA was used to identify participants falls risk. Independent t-test was used to compare falls risk score among fallers and non-fallers for its discriminative ability. Results Approximately 20% participants were categorized as fallers. Majority of the fallers were females (66.7%), had lower physical activity level and higher scores of geriatric depression scales compared to non-fallers. There was a significant (p< 0.01) different in the FallSA score between fallers (7.33±1.77) and non-fallers (4.34±1.72). Conclusion Our study results showed that FallSA could be used to discriminate fallers and non-fallers in community dwelling older adults. Further studies are in progress to determine the predictive validity of FallSA.

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