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Volume 87, Issue 12, Pages 1583-1589 (December 2006)


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Balance Score and a History of Falls in Hospital Predict Recurrent Falls in the 6 Months Following Stroke Rehabilitation

Shylie F. Mackintosh, PhDabCorresponding Author Informationemail address, Keith D. Hill, PhDcd, Karen J. Dodd, PhDabcde, Patricia A. Goldie, PhDa, Elsie G. Culham, PhDe

Abstract 

Mackintosh SF, Hill KD, Dodd KJ, Goldie PA, Culham EG. Balance score and a history of falls in hospital predict recurrent falls in the 6 months following stroke rehabilitation.

Objective

To investigate predictors of recurrent falls in adults who return to community dwelling after stroke rehabilitation.

Design

Prospective observational study.

Setting

Community.

Participants

Fifty-five adults with stroke (mean age ± standard deviation, 68.1±12.8y).

Interventions

Not applicable.

Main Outcome Measures

Baseline measures included balance, gait speed, muscle strength and tone, activity level, hemianopia, visual contrast sensitivity, hemineglect, medication use, fear of falling, and depression. Participants kept a 6-month prospective falls diary after discharge from rehabilitation.

Results

Twenty-five (45%) participants reported falling, 12 had recurrent falls (≥2 falls), and 13 fell once. Participants who fell recurrently had histories of falling during hospitalization or rehabilitation, poorer physical function measures, were taking more medications, and were more likely to have hemineglect than participants who fell once or did not fall (P<.05). A history of falling in the hospital or during rehabilitation, combined with poor balance (either Berg Balance Scale score <49 or step test score <7), predicted recurrent falls with sensitivity and specificity values greater than 80%.

Conclusions

Falls are a common occurrence after stroke. The predictive model developed can be used to identify people who are likely to have recurrent falls in the 6 months after stroke rehabilitation.

a La Trobe University, Victoria, Australia

b School of Health Sciences, University of South Australia, Adelaide, SA, Australia

c National Aging Research Institute, Victoria, Australia

d Melbourne Extended Care and Rehabilitation Service, Victoria, Australia

e Queen’s University, Kingston, ON, Canada.

Corresponding Author InformationReprint requests to Shylie F. Mackintosh, PhD, School of Health Sciences, City East Campus, University of South Australia, North Terrace, Adelaide, South Australia 5000.

 Supported by La Trobe University (faculty research grant).

No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.

PII: S0003-9993(06)01336-0

doi:10.1016/j.apmr.2006.09.004


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