Open Access<p>Developing a Scoring Model to Predict the Risk of Injurious Falls in Elderly Patients: A Retrospective Case–Control Study in Multicenter Acute Hospitals</p>
Author(s) -
Min Zhao,
Shuguang Li,
Yun Xu,
Xiaoxia Su,
Hong Jiang
Publication year - 2020
Publication title -
clinical interventions in aging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.184
H-Index - 76
eISSN - 1178-1998
pISSN - 1176-9092
DOI - 10.2147/cia.s258171
Subject(s) - medicine , nomogram , logistic regression , retrospective cohort study , poison control , risk assessment , emergency medicine , injury prevention , univariate , multivariate statistics , statistics , computer security , mathematics , computer science
Injurious falls seriously threaten the safety of elderly patients. Identifying risk factors for predicting the probability of injurious falls is an important issue that still needs to be solved urgently. We aimed to identify predictors and develop a nomogram for distinguishing populations at high risk of injurious falls from older adults in acute settings.