BACKGROUND: Trauma is considered as a worldwide problem despite socio-economic development. Motor vehicle accidents (MVAs) are the most important cause of trauma. Trauma related deaths are mostly preventable. This study aimed to investigate the causes and prevention of death in trauma patients. METHODS: This retrospective, descriptive-analytic study assessed 100 trauma patients referred to our emergency department (ED) from January 2013 to Januanry 2015. The included patients were those with trauma died after arrival at our ED. Age, sex, cause of trauma, clinical causes of death, causes of death defined by autopsy, way of transfer to the ED, time of ambulance arrival at the scene of trauma, and time elapsed to enter the ED from the scene of trauma were studied. RESULTS: In the 100 patients, 21 (21％) patients were female and 79 (79％) male. Forty-three patients were older than 60 years. Trauma was largely due to pedestrian accidents in 31％of the patients, and 33％ had a hypo-volemic shock. About 80％ of deaths were due to intra-cranial hemorrhage (ICH) or intra-ventricular hemorrhage (IVH), and spinal injuries were not preventable. Autopsy revealed that 28％ of the patients suffered from internal injuries. Autopsy revealed that 19％of the deaths were not preventable and 81％ were considered preventable. In our patients, 76 were transferred to the hospital by emergency medicine services (EMS). Analysis of time for ambulance arrival to the scene and frequency of death revealed that 52.2％ of the deaths occurred between 11 and 15 minutes. Analysis of time for admission to the ED from the scene of trauma showed that 74.6％ deaths occurred between 6 and 10 minutes. CONCLUSIONS: The rate of hospital preventable deaths is about 80％, a high mortality rate, which denotes a lack of proper diagnosis and treatment. The time for arrival of EMS at the scene of trauma is longer than that in other countries.

PURPOSE: Boarding is a common problem in the emergency department (ED) and is associated with poor health care and outcome. Imam Khomeini Hospital is the main healthcare center in Urmia, a metropolis in the northwest of Iran. Due to the overcrowding and high patient load, we aim to characterize the rate, cause and consequence of boarding in the ED of this center. METHODS: All medical records of patients who presented to the ED of Imam Khomeini Hospital from August 1, 2017 to August 1, 2018 were retrospectively analyzed. Patients with uncompleted records were excluded. Boarding was defined as the inability to transfer the admitted ED patients to a downstream ward in ≥2 h after the admission order. Demographic data, boarding rate, mortality and triage levels (1-5) assessed by emergency severity index were collected and analyzed. The first present time of patients was classified into 4 ranges as 0:00-5:59, 6:00-11:59, 12:00-17:59 and 18:00-23:59. Descriptive, parametric and non-parametric statistical tests were performed and the risk of boarding was determined by Pearson Chi-square test. RESULTS: Demographic data analysis showed that 941 (58.5%) male and 667 (41.5%) female, altogether 1608 patients were included in this study. Five patients (0.3%) died. The distribution of patients with the triage levels 1-5 was respectively 79 (4.9%), 1150 (71.5%), 374 (23.3%), 4 (0.2%) and 0 (0%). Most patients were of level 2. Only 75 (4.7%) patients required intensive care. The majority of patients (84.2%) were presented at weekdays. The maximum patient load was observed between 12:00-17:59. Of the 1608 patients, 340 (21.1%) experienced boarding within a mean admission time of 13.70 h. Among the 340-boarded patients, 20.1% belonged to surgery, 12.1% to orthopedics, 10.9% to neurosurgery and 10.3% to neurology. The boarding rate was higher in females, patients requiring intensive care and those with low triage levels. Compared with the non-boarded, the boarded patients had a higher mean age. CONCLUSION The boarding rate is higher in the older and female patients. Moreover, boarding is dependent on the downstream ward sections: patients requiring surgical management experience the maximum boarding rate.
Age Factors ; Chi-Square Distribution ; Cross-Sectional Studies ; Crowding ; Emergency Service, Hospital ; Female ; Hospital Mortality ; Hospitalization/statistics & numerical data* ; Humans ; Iran ; Length of Stay ; Male ; Patient Admission ; Retrospective Studies ; Risk Assessment/methods* ; Risk Factors ; Sex Factors ; Time Factors ; Triage