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Fall risk six weeks from onset of stroke and the ability of the Prediction of Falls in Rehabilitation Settings Tool and motor function to predict falls
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Neuroscience, Physiotheraphy.
2013 (English)In: Clinical Rehabilitation, ISSN 0269-2155, E-ISSN 1477-0873, Vol. 27, no 5, 473-479 p.Article in journal (Refereed) Published
Abstract [en]

Objective

To investigate whether the Prediction of Falls in Rehabilitation Settings Tool (Predict FIRST) and motor function could be used to identify people at risk of falling during the first six weeks after stroke, and to compare the risk of falling according to Predict FIRST with real falls frequency.

Design

A longitudinal, prospective study.

Patients

Sixty-eight people newly diagnosed with stroke admitted to an acute stroke unit.

Methods

The participants underwent an assessment of motor ability (Modified Motor Assessment Scale according to Uppsala University Hospital version 99 (M-MAS UAS-99)) and falls risk (Predict FIRST) on the first to fourth day at the acute stroke unit. Falls occurring in the acute stroke unit were recorded and falls occurring after discharge were reported by telephone follow-up. The prediction of falls was analysed with binary logistic regression.

Results

Fourteen of the patients (21%) fell at least once during the first six weeks after stroke. The strongest significant predictor for falls was a high score on Predict FIRST (odds ratio 5.21, confidence interval (CI) 1.10–24.78) followed by M-MAS UAS-99 parts C–E (odds ratio 0.65, CI 0.44–0.95). Predict FIRST underestimated the risk of falling as the median fall risk was 9% according to Predict FIRST.

Conclusion

Although Predict FIRST has the ability to predict falls in people with recent onset of stroke, there is some underestimation of fall risk.

Place, publisher, year, edition, pages
2013. Vol. 27, no 5, 473-479 p.
National Category
Physiotherapy
Identifiers
URN: urn:nbn:se:uu:diva-191469DOI: 10.1177/0269215512464703ISI: 000327468100011OAI: oai:DiVA.org:uu-191469DiVA: diva2:585725
Available from: 2013-01-10 Created: 2013-01-10 Last updated: 2017-12-06Bibliographically approved

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Hellström, Karin

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