A descriptive study of the admitted patients for injuries in a large teaching hospital in ۲۰۱۶

Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JSTR-9-4_004

تاریخ نمایه سازی: 5 دی 1402

Abstract:

Introduction: Injuries are the causes of irreparable damages and costs in urban and rural settings. Preventive procedures are effective if correct related information is gathered and provided. Therefore, this study aimed to investigate the injury patterns and related factors in a large teaching hospital. Methods: The current cross-sectional study was conducted at Edalatian Emergency Center, Mashhad, Iran, in ۲۰۱۶. All study subjects were extracted from the Hospital Information System (HIS).The demographic characteristics and injuries-related factors of ۶,۳۵۰ patients were extracted from the HIS. The extracted variables were emergency severity index (ESI), type of referral, referral reason, insurance organizations, age, anatomic site of injuries, and month of referral. The data were analyzed in SPSS software (version ۲۱) using the descriptive statistics method (frequency and percentage). Results: The majority of the study population was composed of males (%۷۶.۴). In total, ۹۸.۳% of the patients were classified into the semi-urgent and non-urgent levels, and ۷۵.۶% of the cases were affected in the right upper extremity. The most common age group was between ۱۰-۲۰ (۶۹.۴%) years, and the majority of the cases were admitted in June, July, and August. Conclusion: The current study determined the pattern and most important reasons for injuries' referral to an emergency department. Accordingly, the injuries were more frequent in the young people and active human force in our community. Furthermore, there was a significant difference among the frequencies of injury incidence in the summer holidays. It seems necessary to develop preventive procedures for injuries.

Authors

Elham Nazari

Ph.D. Candidate of Medical Informatics, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

Mehran Aghemiri

MSc Student of Medical Informatics, Department of Medical Informatics, Tarbiat Modares University of Medical Science, Tehran, Iran

Zahra Ebnehoseini

Ph.D. in Medical Informatics, Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

Reza Akhavan

Assistant Professor of Emergency Medicine, Department of Emergency Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

Azam Kheirdoust

MSc Student of Medical Informatics, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

Mehri Momeni

MSc Student of Medical Informatics, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

Hamed Tabesh

Associate Professor of Biostatistics, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran

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