2023 年 5 巻 3 号 p. 53-61
[Background] We developed an inpatient fall predictive model (Saga Fall Risk Model 2 [SFRM2]) based on eight items (age, sex, emergency admission, inpatient department, use of hypnotic medications, history of falls, independence of eating, and Bedriddenness rank) at an acute care community hospital. The SFRM-2 has not been validated in a highly acute care hospital； therefore, the purpose of this study was to evaluate the accuracy of the model in a university hospital. [Methods] This single-center retrospective study involved patients aged 侒 20 years who were admitted to a university hospital from April 2017 to March 2019. The required information for validation was collected from the electronic medical records, and the modelʼ s accuracy was evaluated using the area under the curve. [Results] In total, the data of 16,025 patients were analyzed, and 194 (1.2%) fell. The median age was 68 years, and 49.4% were men. The area under the curve of the model was 0.703 (95% confidence interval：0.669-0.737, p ＜ 0.001). [Conclusions] The SFRM-2 showed high accuracy in external validation at a university hospital.
