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Journal of Biostatistics and Epidemiology، جلد ۷، شماره ۴، صفحات ۳۶۰-۳۷۰
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عنوان انگلیسی Analysis of the Pattern of Poisoning in Patients Admitted to a Large Teaching Hospital in Iran
چکیده انگلیسی مقاله Background and Objectives Poisoning is one of the most common causes of hospital admission. This study aims at 1- to determine the characteristics of poisoning, 2-to discover the relationship of the patients’ characteristics, and 3- to suggest a pattern of characteristics of poisoning. Materials and Method In this descriptive cross-sectional study, characteristics’ of patients with poisoning were extracted from the hospital information system (HIS) in a large teaching hospital. Gender, type of admission, the priority of admission, type of referral, cause of referral, insurance organization, age, and month of referral were the variables extracted. Data were analyzed using descriptive and analytical statistical methods in SPSS software version 21. Results Of the 15204 patients included in this analysis, 55.2% of the patients were men. Also, 68.5% had non-urgent triage level, and the cause of the 60.7% of the poisoning was medication overdose. Most of the patients (86.2%) aged from 30 to 20 years with the most frequent referral in May, June, July, and August. According to logistic regression results, gender, type of admission, type of referral, cause of referral, insurance organization, age, and referral month has a statistically significant effect on triage level. Conclusions The use of preventive measures from the occurrence of poisoning is necessary for the country because this problem occurs due to the lack of awareness about its causative factors. Regarding the more prevalence of intentional poisoning, the necessary steps are needed to be taken to identify the Psychological causes and prevent suicide in at-risk groups.
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نویسندگان مقاله | Elham Eazari
Department of Medical Informatics, Faculty of medicine, Mashhad University of Medical Sciences, Mashhad, Iran.


| Somayr Nazari
Ph.D Student of Neuroscience, School of Advanced Technologies in Medical Science, Mazandaran University of Medical Science, Mazandaran,Iran.


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


| Reza Akhavan
Department of Emergency Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.


| Hamed Tabesh
Department of Medical Informatics, Faculty of medicine, Mashhad University of Medical Sciences, Mashhad, Iran
نشانی اینترنتی https://jbe.tums.ac.ir/index.php/jbe/article/view/466
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