Learning Objective 1: The learner will be able to compare two fall risk assessment scales for hospitalized elderly patients.
Learning Objective 2: The learner will be able to know BMFRAS-SF is a potentially useful tool to identify risk for falls in a geriatric hospital.
Methods: The subjects of this study were 207 elderly patients aged over 65 admitted in Bobath Memorial Hospital from July to December 2008. The data were analyzed by using descriptive statistics with SPSS WIN. The two fall risk assessment scales were tested for sensitivity, specificity, positive predictive and negative predictive values. A receiver-operating characteristic curve (ROC) was generated to identify sensitivities and specifities for predicting falls based on two scales for considering older adults at high risk patient.
Results: The BMFRAS at a cut-off score of 14 showed sensitivity of 86.7%, specificity of 75.9%, positive and negative predictive value of 50% and 95.4% respectively. The new BMFRAS-SF presented good sensitivity(86.7%), specificity(67.9%), positive predictive value(42.9%) and good negative predictive value(94.8%) at a cut-off score of 5. Areas under the curve of the ROC curves were .860 for the BMFRAS and .861 for the BMFRAS-SF.
BMFRAS-SF is a potentially useful tool to identify patients at high risk for falls in a geriatric hospital.