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Predicting falls in community-dwelling older adults: A systematic review of task performance-based assessment tools

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Show simple item record Power, Valerie van de Ven, Pepijn Nelson, John Clifford, Amanda M. 2015-11-06T09:37:21Z 2015-11-06T09:37:21Z 2014
dc.description peer-reviewed en_US
dc.description.abstract INTRODUCTION: Falls among community-dwelling older adults are a common yet often preventable occurrence. Clinicians frequently use task-based assessment tools to evaluate clients' balance and mobility with the aim of predicting falls and providing targeted fall prevention interventions, but no consensus exists on the optimum tool(s) to use for this purpose. This review aims to identify the task-based assessment tools that can best predict falls among community-dwelling older adults. METHODS: Online databases Academic Search Complete, AMED, Biomedical Reference Collection: Expanded, CINAHL Plus, MEDLINE, General Science, and SPORTDiscus were searched from 1983 to 2013 to identify prospective studies assessing the performance of specific tasks in order to predict falls. Following screening, the methodological quality of studies included for review was appraised using a checklist based on the Critical Appraisal Skills Programme tool for cohort studies [1]. RESULTS: Thirty-seven studies, dating from 1996 to 2013 and largely of high methodological quality, were included in this review. A range of task performance-based assessment tools suitable for use in both clinical and laboratory settings were identified. CONCLUSIONS: Strong evidence in favour of using the Timed Up-and-Go test, Five Times Sit-to-Stand test and assessments of gait speed to predict falls among this population in clinical settings was found, along with weaker evidence for tests of standing balance and reaching task performance. Laboratory-based assessments of postural sway and gait variability were also found to predict falls. Incorporating the recommended assessment tools into comprehensive assessments of community-dwelling older clients can lead to improved falls prediction by clinicians. en_US
dc.language.iso eng en_US
dc.publisher IOS Press en_US
dc.relation.ispartofseries Physiotherapy Practice and Research;35, 1 pp. 3-15
dc.subject falls en_US
dc.subject fall risk en_US
dc.subject older adults en_US
dc.subject assessment en_US
dc.subject systematic review en_US
dc.title Predicting falls in community-dwelling older adults: A systematic review of task performance-based assessment tools en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.3233/ppr-130027
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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