Comparative analysis of codes white given by the emergency departments of two different third level hospitals in Ankara

Mehmet Yavuz Danışık, Habibe Selmin Özensoy, Fatih Ahmet Kahraman, Mehmet Güllüoğlu, Alp Şener, Y. K. Günaydın, Hakan Oğuztürk
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Abstract

Aims: In our study, we aimed to compare the codes white given by the emergency services of two tertiary hospitals in Ankara, to reveal the significant differences between them and to discuss the reasons that may lead to these differences. Methods: In our study, we compared the codes white data given from the Emergency Medicine Department of Bilkent Ankara City Hospital (ABCH) and Ankara Training and Research Hospital (ATRH) between 01.01.2021 and 31.12.2022. We classified the data according to the gender, occupation, working hours of the violence, the person who caused the violence, and the type of violence. For research analysis, we grouped the data using Windows-based Microsoft 365 Excel, and for statistical analysis, we used IBM SPSS version 26. Results: The gender that was exposed to violence more in ABCH was women, the most frequent perpetrators were the relatives of the patients, and the type of violence experienced was verbal violence. In ATRH, male health workers were the most frequently exposed to violence, while the most frequent perpetrator was the patient himself, and more cases of physical violence were reported. Conclusion: There are significant differences between the incidents of violence in the emergency departments of the two hospitals, which have different socio-cultural environments due to their location.
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安卡拉两家不同三级医院急诊科提供的白色代码比较分析
目的:我们的研究旨在比较安卡拉两家三级医院急诊科提供的白色代码,揭示它们之间的显著差异,并讨论可能导致这些差异的原因:在研究中,我们比较了比勒肯特安卡拉市医院(ABCH)和安卡拉培训与研究医院(ATRH)急诊科在 2021 年 1 月 1 日至 2022 年 12 月 31 日期间提供的白色代码数据。我们根据性别、职业、暴力发生的工作时间、施暴者和暴力类型对数据进行了分类。为了进行研究分析,我们使用基于 Windows 的 Microsoft 365 Excel 对数据进行了分组,并使用 IBM SPSS 26.0 版对数据进行了统计分析:结果:在 ABCH 中,遭受暴力较多的性别是女性,最常见的施暴者是患者的亲属,暴力类型是语言暴力。结论:在阿富汗儿童和青少年健康中心,男性医务人员最常遭受暴力,而最常施暴者是病人本人,报告的身体暴力事件也较多:结论:两家医院由于地理位置不同,社会文化环境也不尽相同,因此其急诊科发生的暴力事件存在明显差异。
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