Fall incidence in hospitalized patients and prediction of its risk factors using a weighted Poisson model

AimFalls in hospital as a major cause of disability and death threaten patients’ safety quality life. We studied fall incidence hospital, predicted its risk factors using weighted Poisson (WP) model versus other models.MethodThis cross-sectional study was performed on the patients referred to two central hospitals Qazvin, Iran between 2017 2019. The data were collected Morse scale reporting forms patient units (288 falls). Factors including age, gender, time fall, location, complications, drugs administrated, disease history, post-fall care measures, presence companion, length stay assessed. WP compared with models.ResultsFall 2.5 per 1000 days. Among them, 62.5% elderly (mean age 65.7 ± 19.21 yr). Using model, location cause, administered, measures (P < 0.001), companion identified for falling 0.001) Older females, those without medication history at higher risk. Falls from bed prevalent type (IRR = 1.65). internal ward lower than wards 0.67).ConclusionThe is suggested an appropriate predict factors. Fall rate may be reduced by combining information strategies training nurses or caregivers, making possible changes environment.