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김금순 ( Kim Keum-Soon ) - Seoul National University College of Nursing Research Institute of Nursing Science
김진아 ( Kim Jin-A ) - Korea Health Industry Development Institute
최윤경 ( Choi Yun-Kyoung ) - Health Insurance Review and Assessment Service
김유정 ( Kim Yu-Jeong ) - Seoul National University Hospital
박미화 ( Park Mi-Hwa ) - Bobath Memorial Hospital Nursing Division
김현영 ( Kim Hyun-Young ) - Eulji University College of Nursing
송말순 ( Song Mal-Soon ) - Gangnam Severance Hospital Division of Nursing
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Abstract
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Purpose: The purpose of this study was to compare the validity of three fall risk assessment scales including the Morse Fall Scale (MFS), the Bobath Memorial Hospital Fall Risk Assessment Scale (BMFRAS), and the Johns Hopkins Hospital Fall Risk Assessment Tool (JHFRAT).
Methods: This study was a prospective validation cohort study in five acute care hospitals in Seoul and Gyeonggi-Do, Korea. In total, 356 patients over the age of 18 years admitted from December 2009 to February 2010 participated. The three fall risk assessment scales listed above were tested for sensitivity, specificity, positive predictive and negative predictive values. A receiver-operating characteristic (ROC) curve was generated to show sensitivities and specificities for predicting falls based on different threshold scores for considering patients at high risk.
Results: Based on the mean scores of each scale for falls, the MFS at a cut-off score of 50 had a sensitivity of 78.9%, specificity of 55.8%, positive predictive value of 30.8%, and negative predictive value of 91.4%, which were the highest values among the three fall assessment scales. Areas under the curve of the ROC curves were .761 for the MFS, .715 for the BMFRAS, and .708 for the JHFRAT.
Conclusions: Accordingly, of the three fall risk assessment scales, the highest predictive validity for identifying patients at high risk for falls was achieved by the MFS.
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KeyWords
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accidental falls, risk assessment, sensitivity and specificity, ROC curve
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원문 및 링크아웃 정보
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등재저널 정보
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