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ABSTRACT: Objective
To evaluate relative accuracy of a newly developed Stroke Assessment of Fall Risk (SAFR) for classifying fallers and non-fallers, compared with a health system fall risk screening tool, the Fall Harm Risk Screen.Design and setting
Prospective quality improvement study conducted at an inpatient stroke rehabilitation unit at a large urban university hospital.Participants
Patients admitted for inpatient stroke rehabilitation (N = 419) with imaging or clinical evidence of ischemic or hemorrhagic stroke, between 1 August 2009 and 31 July 2010.Interventions
Not applicable.Main outcome measures
Sensitivity, specificity, and area under the curve for Receiver Operating Characteristic Curves of both scales' classifications, based on fall risk score completed upon admission to inpatient stroke rehabilitation.Results
A total of 68 (16%) participants fell at least once. The SAFR was significantly more accurate than the Fall Harm Risk Screen (p < 0.001), with area under the curve of 0.73, positive predictive value of 0.29, and negative predictive value of 0.94. For the Fall Harm Risk Screen, area under the curve was 0.56, positive predictive value was 0.19, and negative predictive value was 0.86. Sensitivity and specificity of the SAFR (0.78 and 0.63, respectively) was higher than the Fall Harm Risk Screen (0.57 and 0.48, respectively).Conclusions
An evidence-derived, population-specific fall risk assessment may more accurately predict fallers than a general fall risk screen for stroke rehabilitation patients. While the SAFR improves upon the accuracy of a general assessment tool, additional refinement may be warranted.
SUBMITTER: Breisinger TP
PROVIDER: S-EPMC4229409 | biostudies-literature | 2014 Dec
REPOSITORIES: biostudies-literature

Clinical rehabilitation 20140521 12
<h4>Objective</h4>To evaluate relative accuracy of a newly developed Stroke Assessment of Fall Risk (SAFR) for classifying fallers and non-fallers, compared with a health system fall risk screening tool, the Fall Harm Risk Screen.<h4>Design and setting</h4>Prospective quality improvement study conducted at an inpatient stroke rehabilitation unit at a large urban university hospital.<h4>Participants</h4>Patients admitted for inpatient stroke rehabilitation (N = 419) with imaging or clinical evide ...[more]