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http://dx.doi.org/10.7475/kjan.2013.25.1.24

Comparison of the Reliability and Validity of Fall Risk Assessment Tools in Patients with Acute Neurological Disorders  

Kim, Sung Reul (College of Nursing, Chonbuk National University)
Yoo, Sung-Hee (College of Nursing, Chonnam National University)
Shin, Young Sun (Department of Nursing, Changwon National University)
Jeon, Ji Yoon (Department of Nursing, Asan Medical Center)
Kim, Jun Yoo (Department of Nursing, Asan Medical Center)
Kang, Su Jung (Department of Nursing, Asan Medical Center)
Choi, Hea Sook (Department of Nursing, Asan Medical Center)
Lee, Hea Lim (Department of Nursing, Asan Medical Center)
An, Young Hee (Department of Nursing, Asan Medical Center)
Publication Information
Korean Journal of Adult Nursing / v.25, no.1, 2013 , pp. 24-32 More about this Journal
Abstract
Purpose: The aim of the study was to identify the most appropriate fall-risk assessment tool for neurological patients in an acute care setting. Methods: This descriptive study compared the reliability and validity of three fall-risk assessment tools (Morse Fall Scale, MFS; St Thomas's Risk Assessment Tool in Falling Elderly Inpatients, STRATIFY; Hendrich II Fall Risk Model, HFRM II). We assessed patients who were admitted to the Department of Neurology, Neurosurgery, and Rehabilitation at Asan Medical Center between July 1 and October 31, 2011, using a constructive questionnaire including general and clinical characteristics, and each item from the three tools. We analyzed inter-rater reliability with the kappa value, and the sensitivity, specificity, predictive value, and the area under the curve (AUC) of the three tools. Results: The analysis included 1,026 patients, and 32 falls occurred during this study. Inter-rater reliability was above 80% in all three tools. and the sensitivity was 50.0% (MFS), 84.4%(STRATIFY), and 59.4%(HFRM II). The AUC of the STRATIFY was 82.8. However, when the cutoff point was regulated as not 50 but 40 points, the AUC of the MFS was higher at 83.7. Conclusion: These results suggest that the STRATIFY may be the best tool for predicting falls for acute neurological patients.
Keywords
Falls; Reliability; Validity; Neurology;
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Times Cited By KSCI : 2  (Citation Analysis)
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