Citation

Salameh F, Cassuto N, Oliven A. Isr. Med. Assoc. J. 2008; 10(2): 125-129.

Affiliation

Department of Medicine, Bnai Zion Medical Center, Haifa, Israel. faressalameh@hotmail.com

Copyright

(Copyright © 2008, Israel Medical Association)

DOI

unavailable

PMID

18432025

Abstract

BACKGROUND: Falls are a common problem among hospitalized patients, having a significant impact on quality of life and resource utilization. OBJECTIVES: To develop and validate a fall-risk assessment tool for patients hospitalized in the department of medicine that will combine simplicity with adequate accuracy for routine use. METHODS: This observational cohort study was conducted on the medical wards of an urban tertiary teaching hospital, and included all patients who fell in the medical wards during a 1 year period (n = 140) compared to other hospitalized patients. RESULTS: Significant correlates of falls were previous falls, impairing medical conditions, impaired mobility, and altered mental state. In multivariate logistic regression analyses, only previous falls (odds ratio 3.8 with 95% confidence interval 2.65-5.45, P < 0.0001) and acute impairing medical conditions (OR 1.56, CI 1.06-2.29, P < 0.05) correlated independently with a higher risk for falls. Impaired mobility retained an OR of 1.46 (CI 0.95-2.24, P = 0.084). Accordingly, defining patients with either a history of previous falls or both acute impairing medical state and impaired mobility as fall-prone patients provided a sensitivity and specificity of 67% and 63%, respectively. In a subsequent prospective validation trial on 88 patients who fell during hospitalization and 436 controls, the sensitivity and specificity of this fall-risk grouping were 64% and 68% respectively. CONCLUSIONS: Our new simple and easy-to-use fall-risk assessment tool identified most of the fall-prone patients. These findings suggest that this tool may enable us to prevent two-thirds of falls on the medical ward by providing effective fall-prevention facilities to only one-third of the patients.

Language: en