Studying the affecting factors in patient workflow and outcome of patients with stroke diagnosis in emergency department

Abstract

Emergency crowding in some cases may delay the identification and treatment of patients with diseases that require immediate attention and delay in their treatment process can have a long-term consequence. Therefore, in light of the above, we decided to design a study to investigate the factors involved in the assignment and outcomes of patients with stroke referred to the Emergency Department of Imam Reza Hospital in Tabriz in 2018. Materials and Methods: In this prospective descriptive-cross-sectional study, 100 days were randomly sampled using Random Allocation Software from each month. An eight-day random will be selected. All patients will be recorded for admission to discharge, admission to first visit by the Emergency and Neurosurgery Department, admission to patient assignment, and patient outcome. The intervals will then be calculated from the baseline triage and the intervals for which the patient is most likely to stay will be reviewed and rooted. Results: There was a significant relationship between age, sex, type of stroke, outcome, and hyperlipidemia but the correlation coefficient was weak. There was a significant difference between triage to assignment and triage to emergency leave with a strong correlation. But there is a significant relationship with the type of stroke but the correlation coefficient is weak. There is a significant relationship between triage to emergency leave and type of stroke but the correlation coefficient is weak. There is a significant relationship between the type of stroke and the outcome, but the correlation coefficient is weak