Six-month prospective study of fall risk factors identification in patients post-stroke

© 2014 Japan Geriatrics Society. Aim: To determine if the findings at month1 could correctly identify stroke patients who fell in the 6months post-stroke; and to describe the characteristics of fallers and non-fallers, and their courses of recovery. Methods: Of 133 volunteers who had their first str...

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Main Authors: Chutima Jalayondeja, Patricia E. Sullivan, Sopa Pichaiyongwongdee
Other Authors: Mahidol University
Format: Article
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/34182
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spelling th-mahidol.341822018-11-09T10:15:42Z Six-month prospective study of fall risk factors identification in patients post-stroke Chutima Jalayondeja Patricia E. Sullivan Sopa Pichaiyongwongdee Mahidol University International Physical Therapy Consultants Medicine Nursing Social Sciences © 2014 Japan Geriatrics Society. Aim: To determine if the findings at month1 could correctly identify stroke patients who fell in the 6months post-stroke; and to describe the characteristics of fallers and non-fallers, and their courses of recovery. Methods: Of 133 volunteers who had their first stroke, 98 participants completed the assessment three times. Fall incidence and history were collected by telephone every 2weeks and recorded. Fear of falling measured by the Fall Efficacy Scale (FES-S), the amount of time that physical therapy was received, and standardized outcome measures according to the International Classification Functioning, Disability and Health model were measured at month1, 3 and 6 after stroke. The Berg Balance Scale, Barthel Index, Timed Up & Go, 10-m (10mWT) and 2-min walks and participation subscore of Stroke Impact Scale were used for assessment. Results: A total of 25 patients (25%) fell in the 6months; 13 had multiple falls. Fallers showed less improvement in impairments, activity and community participation compared with non-fallers. The risk of falling was greater than 1 (odds ratio [OR]) when assessed by all outcome measures at month1, and was double at month3. The FES-S ≥33 at month1 could accurately identify a faller (OR 2.99, 95% confidence interval 1.07-8.37), moderate to high sensitivity (76%), specificity (49%), and positive and negative predicted value (34% and 85%). Conclusions: Fear of falling was the best indicator of falling. Receiving physical therapy after a stroke seems to highly contribute to improved functional independence of activities in daily living, and increased self-confidence and cognitive function. 2018-11-09T02:33:31Z 2018-11-09T02:33:31Z 2014-10-01 Article Geriatrics and Gerontology International. Vol.14, No.4 (2014), 778-785 10.1111/ggi.12164 14470594 14441586 2-s2.0-84931829221 https://repository.li.mahidol.ac.th/handle/123456789/34182 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84931829221&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
Nursing
Social Sciences
spellingShingle Medicine
Nursing
Social Sciences
Chutima Jalayondeja
Patricia E. Sullivan
Sopa Pichaiyongwongdee
Six-month prospective study of fall risk factors identification in patients post-stroke
description © 2014 Japan Geriatrics Society. Aim: To determine if the findings at month1 could correctly identify stroke patients who fell in the 6months post-stroke; and to describe the characteristics of fallers and non-fallers, and their courses of recovery. Methods: Of 133 volunteers who had their first stroke, 98 participants completed the assessment three times. Fall incidence and history were collected by telephone every 2weeks and recorded. Fear of falling measured by the Fall Efficacy Scale (FES-S), the amount of time that physical therapy was received, and standardized outcome measures according to the International Classification Functioning, Disability and Health model were measured at month1, 3 and 6 after stroke. The Berg Balance Scale, Barthel Index, Timed Up & Go, 10-m (10mWT) and 2-min walks and participation subscore of Stroke Impact Scale were used for assessment. Results: A total of 25 patients (25%) fell in the 6months; 13 had multiple falls. Fallers showed less improvement in impairments, activity and community participation compared with non-fallers. The risk of falling was greater than 1 (odds ratio [OR]) when assessed by all outcome measures at month1, and was double at month3. The FES-S ≥33 at month1 could accurately identify a faller (OR 2.99, 95% confidence interval 1.07-8.37), moderate to high sensitivity (76%), specificity (49%), and positive and negative predicted value (34% and 85%). Conclusions: Fear of falling was the best indicator of falling. Receiving physical therapy after a stroke seems to highly contribute to improved functional independence of activities in daily living, and increased self-confidence and cognitive function.
author2 Mahidol University
author_facet Mahidol University
Chutima Jalayondeja
Patricia E. Sullivan
Sopa Pichaiyongwongdee
format Article
author Chutima Jalayondeja
Patricia E. Sullivan
Sopa Pichaiyongwongdee
author_sort Chutima Jalayondeja
title Six-month prospective study of fall risk factors identification in patients post-stroke
title_short Six-month prospective study of fall risk factors identification in patients post-stroke
title_full Six-month prospective study of fall risk factors identification in patients post-stroke
title_fullStr Six-month prospective study of fall risk factors identification in patients post-stroke
title_full_unstemmed Six-month prospective study of fall risk factors identification in patients post-stroke
title_sort six-month prospective study of fall risk factors identification in patients post-stroke
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/34182
_version_ 1763491801386188800