Volume 28, Issue 6 (1-2026)
J Arak Uni Med Sci 2026, 28(6): 432-439 |
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Amani A, Safari M, Roshanaei G, Mohamadi A, Hamta A, Shakeri A, et al . Epidemiology of Patients Presenting to Emergency Department in Vali-Asr Hospital in Arak University During 2020-2023: A Cross-Sectional Study. J Arak Uni Med Sci 2026; 28 (6) :432-439
URL: http://jams.arakmu.ac.ir/article-1-7702-en.html
URL: http://jams.arakmu.ac.ir/article-1-7702-en.html
Alireza Amani1 
, Malihe Safari2 , Ghodratollah Roshanaei2 , Alireza Mohamadi3 , Amir Hamta2 , Aidin Shakeri3 , Yasamin Pourandish4 , Sahar Bayat5 , Dorsa Beygi6 , Saeed Jafari7
, Malihe Safari2 , Ghodratollah Roshanaei2 , Alireza Mohamadi3 , Amir Hamta2 , Aidin Shakeri3 , Yasamin Pourandish4 , Sahar Bayat5 , Dorsa Beygi6 , Saeed Jafari7
1- Department of Orthopedics, School of Medicine, Arak University of Medical Sciences, Arak, Iran
2- Department of Biostatistics, School of Medicine, Arak University of Medical Sciences, Arak, Iran
3- Department of Neurosurgery, School of Medicine, Arak University of Medical Sciences, Arak, Iran
4- Department of Nursing, Arak School of Nursing, Arak University of Medical Sciences, Arak, Iran
5- Department of Epidemiology, Faculty of Health, Arak University of Medical Sciences, Arak, Iran
6- School of Medicine, Arak University of Medical Sciences, Arak, Iran
7- Department of Neurosurgery, School of Medicine, Arak University of Medical Sciences, Arak, Iran ,saeedjafari1980@gmail.com
2- Department of Biostatistics, School of Medicine, Arak University of Medical Sciences, Arak, Iran
3- Department of Neurosurgery, School of Medicine, Arak University of Medical Sciences, Arak, Iran
4- Department of Nursing, Arak School of Nursing, Arak University of Medical Sciences, Arak, Iran
5- Department of Epidemiology, Faculty of Health, Arak University of Medical Sciences, Arak, Iran
6- School of Medicine, Arak University of Medical Sciences, Arak, Iran
7- Department of Neurosurgery, School of Medicine, Arak University of Medical Sciences, Arak, Iran ,
Abstract: (771 Views)
Introduction: The emergency department is an essential part of the health care system in any country, providing 24-hour service to patients requiring urgent medical, surgical, or other care. The main aim of the present study was to determine the epidemiological characteristics of patients referred to the emergency department at the referral center in Arak city.
Methods: The present cross-sectional study was conducted on 226,127 patients referred to the emergency department during 2020-2023. The information in this study was based on the registration system of patients referred to the emergency department in Vali-asr Hospital in Arak. Data analysis was done by using descriptive statistics and t-test and Chi-square statistical tests. The significance level of the tests was considered P < 0.05.
Results: The mean (standard deviation) age of patients was 36.3 (20.5) years with an age range of (1-103). 147,088 patients were male (65%). Death occurred in 2,633 (1.2%) patients. More than 50% of patients were referred between 8:00 AM and 4:00 PM. Hospital admission was required for 32.1% of patients. 63% underwent surgical procedures. A statistically significant association was observed between gender, age, year of visit, season, time of visit and surgical procedures with the type of admission and the condition of the patient at the time of discharge (P < 0.05).
Conclusions: Understanding the epidemiology and the demographic and clinical characteristics of patients can facilitate timely planning for staff deployment and resource allocation. This can help prevent overcrowding, improve patient outcomes, and increase patient satisfaction through effective management.
Methods: The present cross-sectional study was conducted on 226,127 patients referred to the emergency department during 2020-2023. The information in this study was based on the registration system of patients referred to the emergency department in Vali-asr Hospital in Arak. Data analysis was done by using descriptive statistics and t-test and Chi-square statistical tests. The significance level of the tests was considered P < 0.05.
Results: The mean (standard deviation) age of patients was 36.3 (20.5) years with an age range of (1-103). 147,088 patients were male (65%). Death occurred in 2,633 (1.2%) patients. More than 50% of patients were referred between 8:00 AM and 4:00 PM. Hospital admission was required for 32.1% of patients. 63% underwent surgical procedures. A statistically significant association was observed between gender, age, year of visit, season, time of visit and surgical procedures with the type of admission and the condition of the patient at the time of discharge (P < 0.05).
Conclusions: Understanding the epidemiology and the demographic and clinical characteristics of patients can facilitate timely planning for staff deployment and resource allocation. This can help prevent overcrowding, improve patient outcomes, and increase patient satisfaction through effective management.
Type of Study: Original Atricle |
Subject:
Basic Sciences
Received: 2024/04/28 | Accepted: 2025/06/25
Received: 2024/04/28 | Accepted: 2025/06/25
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