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Predictors of falls and hospitalization outcomes in elderly patients admitted to an acute geriatric unit

Abstract We aimed to identify fall incidence, predictors and characteristics and to investigate hospitalization outcomes for elderly inpatients. In 340 men and 280 women consecutively admitted to a Acute Geriatric Ward of a University Hospital the following variables were evaluated: demographics, cl...

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Bibliographic Details
Published in:Archives of gerontology and geriatrics 2009-07, Vol.49 (1), p.142-145
Main Authors: Corsinovi, Laura, Bo, Mario, Ricauda Aimonino, Nicoletta, Marinello, Renata, Gariglio, Federico, Marchetto, Cristina, Gastaldi, Laura, Fissore, Laura, Zanocchi, Mauro, Molaschi, Mario
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Language:English
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Summary:Abstract We aimed to identify fall incidence, predictors and characteristics and to investigate hospitalization outcomes for elderly inpatients. In 340 men and 280 women consecutively admitted to a Acute Geriatric Ward of a University Hospital the following variables were evaluated: demographics, clinical history, main disease responsible for hospitalization, comorbidity (cumulative illness rating scale: CIRS 1 and 2) gait and balance deficit (Tinetti's scales), cognition/function (short portable mental status questionnaire: SPMSQ); activities of daily living: ADL; instrumental activities of daily living: IADL; delirium (confusion assessment method: CAM), drugs administered during hospitalization. Overall 80 falls occurred in 70 patients. The incidence rate of falls was of 6.0 per 1000 patient-days with 2.0 falls per bed/year. Age (relative risk = RR = 1.050; 95% confidence interval = CI = 1.013–1.087), delirium (RR = 3.577; 95% CI 1.096–11.672), diabetes (RR = 5.913; 95% CI 1.693–20.644), balance deficit (RR = 0.914; 95% CI 0.861–0.970) and polypharmacy (RR = 1.226; 95% CI 1.122–1.340) were independently predictive of falling. Fallers had a prolonged length of stay (LOS) (35.5 ± 47.8 days vs. 23.2 ± 27.2; p = 0.01) and more frequent nursing home placements (12.9% vs.5.6%; p < 0.005). The knowledge of falling predictors might help in planning specific preventive strategies to improve the patients’ global health status and to reduce the costs of medical care.
ISSN:0167-4943
1872-6976
DOI:10.1016/j.archger.2008.06.004