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J-SPEED在乌兹别克斯坦共和国一家地区医院急诊科的适应性调整:回顾性分析

Adaptation of J-SPEED for the emergency department of a regional hospital in the Republic of Uzbekistan: retrospective analysis.

作者信息

Nazirkulov Olimjan, Chimed-Ochir Odgerel, Yumiya Yui, Khaing Inn Kynn, Odilov Khasanjon, Ogawa Hanako, Fukunaga Ami, Kobiljon Khalilov, Mirzahmedov Mahamadjan, Fayzullaxonov Sukurullaxon, Anvarov Khikmat, Boburjon Mutalov, Nodirjon Ruzimurodov, Kubo Tatsuhiko

机构信息

Department of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

Department of Public Health and Management, Tashkent Medical Academy, Tashkent, Uzbekistan.

出版信息

BMC Emerg Med. 2025 Jul 1;25(1):113. doi: 10.1186/s12873-025-01272-2.

Abstract

BACKGROUND

Analysis of demographic and clinical characteristics of patients admitted to emergency departments (EDs) can enhance patient outcomes and inform public health policies. However, EDs at regional hospitals in Uzbekistan still rely on handwritten journals, making data analysis challenging. This study adapted the Japan Surveillance in Post-Extreme Emergencies and Disasters (J-SPEED) tool to develop UZ-SPEED for collecting and analyzing data from the ED at Almalyk Medical Association in the Tashkent region. The goal was to identify patterns in demographics and ED admissions while demonstrating the importance of an efficient data collection tool.

METHODS

Using UZ-SPEED, we retrospectively digitized one-year data from 31,489 handwritten records of trauma and non-trauma patients from 2022.

RESULTS

The analysis revealed that men accounted for 70.54% of trauma admissions, with 85.3% of these cases being minor injuries, suggesting potential misuse of emergency department services. Among non-trauma patients, hypertension (26%), neurological diseases (18.78%), and gastrointestinal diseases (10.48%) were the most common health events. Trauma incidents peaked from July to October.

CONCLUSION

The UZ-SPEED tool significantly improved data management, enabling detailed analysis and automated reporting. It proved cost-effective and user-friendly, suitable for hospitals with limited resources. However, challenges such as data integrity and resistance to electronic records remain. Expanding UZ-SPEED implementation in other Uzbekistani EDs could further improve the efficiency of data management in the ED in Uzbekistan.

CLINICAL TRIAL NUMBER

Not applicable.

摘要

背景

分析急诊科收治患者的人口统计学和临床特征有助于改善患者治疗效果,并为公共卫生政策提供依据。然而,乌兹别克斯坦地区医院的急诊科仍依赖手写病历,这使得数据分析具有挑战性。本研究对日本极端紧急情况和灾害后监测(J-SPEED)工具进行了调整,开发了UZ-SPEED,用于收集和分析塔什干地区阿尔马利克医学协会急诊科的数据。目的是识别人口统计学和急诊科入院模式,同时证明高效数据收集工具的重要性。

方法

使用UZ-SPEED,我们回顾性地将2022年31489份创伤和非创伤患者手写记录中的一年数据数字化。

结果

分析显示,男性占创伤入院患者的70.54%,其中85.3%为轻伤,这表明急诊科服务可能存在滥用情况。在非创伤患者中,高血压(26%)、神经系统疾病(18.78%)和胃肠道疾病(10.48%)是最常见的健康问题。创伤事件在7月至10月达到高峰。

结论

UZ-SPEED工具显著改善了数据管理,实现了详细分析和自动报告。它被证明具有成本效益且用户友好,适用于资源有限的医院。然而,数据完整性和对电子记录的抵触等挑战仍然存在。在乌兹别克斯坦其他急诊科扩大UZ-SPEED的应用,可能会进一步提高乌兹别克斯坦急诊科数据管理的效率。

临床试验编号

不适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5ee/12219893/2cb944c9554a/12873_2025_1272_Fig3_HTML.jpg

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