title: Evaluation of a Fall Risk Prediction Tool Using Large-Scale Data.
abstract: To support nursing care for the prevention of falls among inpatients at our institution, we developed and implemented a fall risk prediction tool. To evaluate its effectiveness, we compared the number of falls among inpatients before and after its implementation. The odds ratio for the probability of falling was 0.79 (95% confidence interval: 0.69-0.91) (p &lt; 0.001), which was adjusted based on institutional data comprising 573,216 records from 25,039 patients in 24 general wards. Although whether nurses used the tool completely or whether the dissemination of fall prevention measures led to behavioral changes among the nurses in relation to their care remained unclear, the fall risk of inpatients appeared to be reduced after implementation of the prediction tool.
authors.affiliation: The University of Tokyo Hospital, Japan.
authors.forename: Shinichiroh
authors.initials: S
authors.lastname: Yokota
authors.affiliation: National College of Nursing, Japan, Japan.
authors.forename: Ai
authors.initials: A
authors.lastname: Tomotaki
authors.affiliation: The University of Tokyo Hospital, Japan.
authors.forename: Ohmi
authors.initials: O
authors.lastname: Mohri
authors.affiliation: The University of Tokyo Hospital, Japan.
authors.forename: Miyoko
authors.initials: M
authors.lastname: Endo
authors.affiliation: Graduate School of Medicine, The University of Tokyo, Japan.
authors.forename: Kazuhiko
authors.initials: K
authors.lastname: Ohe
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control*; D000367:Age Factors; D057286:Electronic Health Records / Q000458:organization & administration; D005260:Female; D006785:Hospitals, University; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data*; D007564:Japan; D008297:Male; D009732:Nursing Care / Q000592:standards; D061214:Patient Safety / Q000706:statistics & numerical data