A simplified fall-risk assessment tool for patients hospitalized in medical wards.
BACKGROUND
Falls are a common problem among hospitalized patients, having a significant impact on quality of life and resource utilization.


OBJECTIVE
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.
Salameh
Fares
F
Department of Medicine, Bnai Zion Medical Center, Haifa, Israel. faressalameh@hotmail.com
Cassuto
Nava
N
Oliven
Arie
A
D000058:Accidental Falls / Q000706:statistics & numerical data*; D000368:Aged; D016001:Confidence Intervals; D005260:Female; D005500:Follow-Up Studies; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D007297:Inpatients; D007557:Israel / Q000453:epidemiology; D008297:Male; D016017:Odds Ratio; D010362:Patients' Rooms / Q000592:standards*; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012680:Sensitivity and Specificity; D014947:Wounds and Injuries / Q000453:epidemiology* / Q000209:etiology