Validation of Predictors of Fall Events in Hospitalized Patients With Cancer.
BACKGROUND
A seven-item cancer-specific fall risk tool (Cleveland Clinic Capone-Albert [CC-CA] Fall Risk Score) was shown to have a strong concordance index for predicting falls; however, validation of the model is needed.


OBJECTIVE
The aims of this study were to validate that the CC-CA Fall Risk Score, made up of six factors, predicts falls in patients with cancer and to determine if the CC-CA Fall Risk Score performs better than the Morse Fall Tool.


METHODS
Using a prospective, comparative methodology, data were collected from electronic health records of patients hospitalized for cancer care in four hospitals. Risk factors from each tool were recorded, when applicable. Multivariable models were created to predict the probability of a fall. A concordance index for each fall tool was calculated.


RESULTS
The CC-CA Fall Risk Score provided higher discrimination than the Morse Fall Tool in predicting fall events in patients hospitalized for cancer management.
Cleveland Clinic Foundation.
Samantha H
SH
Weed-Pfaff
Cleveland Clinic Foundation.
Benjamin
B
Nutter
Department of Quantitative Health Sciences, Cleveland Clinic in Ohio.
James F
JF
Bena
Cleveland Clinic Foundation.
Jennifer
J
Forney
Marymount Hospital.
Rosemary
R
Field
Cleveland Clinic Hillcrest Hospital.
Lynn
L
Szoka
Cleveland Clinic Foundation.
Diana
D
Karius
Cleveland Clinic Foundation.
Patti
P
Akins
Cleveland Clinic Foundation.
Christina M
CM
Colvin
Nursing Research and Innovation, Cleveland Clinic in Ohio.
Nancy M
NM
Albert
D000058:Accidental Falls / Q000517:prevention & control* / Q000706:statistics & numerical data*; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D042241:Early Diagnosis; D005260:Female; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009369:Neoplasms / Q000503:physiopathology*; D011237:Predictive Value of Tests; D011446:Prospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012680:Sensitivity and Specificity; D014481:United States
cancer; fall risk; falls; hospital falls; prediction tool; safety