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

Aim: To determine if the findings at month 1 could correctly identify stroke patients who fell in the 6 months 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 complete...

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Main Authors: Chutima Jalayondeja, Sullivan, Patricia E., Sopa Pichaiyongwongdee
Other Authors: Mahidol University. Faculty of Physical Therapy
Format: Article
Language:English
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/10563
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Institution: Mahidol University
Language: English
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spelling th-mahidol.105632023-04-12T15:20:53Z Six-month prospective study of fall risk factors identification in patients post-stroke Chutima Jalayondeja Sullivan, Patricia E. Sopa Pichaiyongwongdee Mahidol University. Faculty of Physical Therapy cerebrovascular disease falls fear of falling International Classification Functioning Disability and Health model Aim: To determine if the findings at month 1 could correctly identify stroke patients who fell in the 6 months 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 2 weeks 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 month 1, 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 6 months; 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 month 1, and was double at month 3. The FES-S ≥33 at month 1 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. Geriatr Gerontol Int 2013 2018-04-18T15:27:26Z 2018-04-18T15:27:26Z 2018-04 2013 Article Geriatrics & Gerontology International. Vol.14, No.14 (2013), 778-785 https://repository.li.mahidol.ac.th/handle/123456789/10563 eng Mahidol University Wiley Online Library
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
language English
topic cerebrovascular disease
falls
fear of falling
International Classification Functioning
Disability and Health model
spellingShingle cerebrovascular disease
falls
fear of falling
International Classification Functioning
Disability and Health model
Chutima Jalayondeja
Sullivan, Patricia E.
Sopa Pichaiyongwongdee
Six-month prospective study of fall risk factors identification in patients post-stroke
description Aim: To determine if the findings at month 1 could correctly identify stroke patients who fell in the 6 months 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 2 weeks 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 month 1, 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 6 months; 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 month 1, and was double at month 3. The FES-S ≥33 at month 1 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. Geriatr Gerontol Int 2013
author2 Mahidol University. Faculty of Physical Therapy
author_facet Mahidol University. Faculty of Physical Therapy
Chutima Jalayondeja
Sullivan, Patricia E.
Sopa Pichaiyongwongdee
format Article
author Chutima Jalayondeja
Sullivan, Patricia E.
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/123456789/10563
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