Suppr超能文献

基于地理信息系统的广东省伤医事件时空分析

Spatiotemporal Analysis of Injury Events Against Doctors in Guangdong Province by Geographic Information System.

作者信息

Chen Guochen, Zhang Wenjing

机构信息

School of Criminology, People's Public Security University of China, Beijing, People's Republic of China.

Fourth Medical Center, Chinese People's Liberation Army General Hospital, Beijing, People's Republic of China.

出版信息

J Multidiscip Healthc. 2023 Aug 24;16:2431-2438. doi: 10.2147/JMDH.S426167. eCollection 2023.

Abstract

BACKGROUND

Violence against doctors is a global concern. Violent injuries against doctors occur periodically in China. At least one violent injury event was witnessed by 54% of medical staff against doctors in 2020. Analyzing this phenomenon and establishing preventive measures is a common concern of the medical and criminal communities.

METHODS

This study comprised 712 injury events against doctors in Guangdong Province, China, from January 2019 to October 2022. The spatial distribution and spatiotemporal changes of these events were analyzed using ArcGIS and Excel software.

RESULTS

Considering the geographical distribution, the injury events against doctors showed a three-level concentric circle pattern where, Guangzhou and Shenzhen, adjacent cities, and distant cities were ranked as high, medium, and low-risk areas, respectively. In temporal distribution, the periods of high incidence were 9-11, 14-15, and 20 o'clock, and the incidence tended to be similar daily, with the peaks in June and July.

CONCLUSION

We found that the risk level of injury events against doctors was positively correlated with the medical resources level in the areas. The injury event incidence was higher during the daytime working hours. Temperature may have a strong positive effect on injury events against doctors.

摘要

背景

暴力伤医是一个全球关注的问题。在中国,暴力伤医事件时有发生。2020年,至少54%的医务人员目睹过针对医生的暴力伤医事件。分析这一现象并制定预防措施是医学界和刑事界共同关注的问题。

方法

本研究纳入了2019年1月至2022年10月在中国广东省发生的712起伤医事件。使用ArcGIS和Excel软件分析这些事件的空间分布和时空变化。

结果

从地理分布来看,伤医事件呈现出三级同心圆模式,其中广州和深圳、相邻城市以及 distant cities分别被列为高、中、低风险区域。在时间分布上,高发时段为9-11点、14-15点和20点,每日发病率趋于相似,6月和7月达到峰值。

结论

我们发现,伤医事件的风险水平与所在地区的医疗资源水平呈正相关。白天工作时间的伤医事件发生率较高。温度可能对伤医事件有强烈的正向影响。 (注:原文中“distant cities”未翻译完整,可能存在信息缺失)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94df/10461743/1a5ebb21e819/JMDH-16-2431-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验