New tool here:
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.
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