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

Sung Reul Kim, Sung Hee Yoo, Young Sun Shin, Ji Yoon Jeon, Jun Yoo Kim, Su Jung Kang, Hea Sook Choi, Hea Limy Lee, Young Hee An

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)24-32
Number of pages9
JournalKorean Journal of Adult Nursing
Issue number1
Publication statusPublished - 2013
Externally publishedYes


  • Falls
  • Neurology
  • Reliability
  • Validity

ASJC Scopus subject areas

  • General Nursing


Dive into the research topics of 'Comparison of the Reliability and Validity of Fall Risk Assessment Tools in Patients with Acute Neurological Disorders'. Together they form a unique fingerprint.

Cite this