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Validation of Predictors of Fall Events in Hospitalized Patients With Cancer.
- Source :
-
Clinical journal of oncology nursing [Clin J Oncol Nurs] 2016 Oct 01; Vol. 20 (5), pp. E126-31. - Publication Year :
- 2016
-
Abstract
- 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.<br />Objectives: 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.<br />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.<br />Findings: The CC-CA Fall Risk Score provided higher discrimination than the Morse Fall Tool in predicting fall events in patients hospitalized for cancer management.
- Subjects :
- Adult
Aged
Aged, 80 and over
Early Diagnosis
Female
Humans
Male
Middle Aged
Multivariate Analysis
Predictive Value of Tests
Prospective Studies
Risk Assessment
Risk Factors
Sensitivity and Specificity
United States
Accidental Falls prevention & control
Accidental Falls statistics & numerical data
Inpatients statistics & numerical data
Neoplasms physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1538-067X
- Volume :
- 20
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Clinical journal of oncology nursing
- Publication Type :
- Academic Journal
- Accession number :
- 27668383
- Full Text :
- https://doi.org/10.1188/16.CJON.E126-E131