中国重庆主城区院前急救响应时间及影响因素研究。

IF 2.7 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Saijuan Chen, Dianguo Xing, Qiuting Wang, Yunyi An, Ying Chen, Xinyun Zhou, Weijie Tan, Hua Liu, Yan Zhang
{"title":"中国重庆主城区院前急救响应时间及影响因素研究。","authors":"Saijuan Chen, Dianguo Xing, Qiuting Wang, Yunyi An, Ying Chen, Xinyun Zhou, Weijie Tan, Hua Liu, Yan Zhang","doi":"10.1093/intqhc/mzae065","DOIUrl":null,"url":null,"abstract":"<p><p>Shortening the prehospital emergency medical service (EMS) response time is crucial for saving lives and lowering mortality and disability rates in patients with sudden illnesses. Descriptive analyses of prehospital EMS response time and each component were conducted separately using ambulance trip data from the 120 Dispatch Command Centre in the main urban area of Chongqing in 2021, and then, logistic regression analyses were used to explore the influencing factors. The median prehospital EMS response time in the main urban area of Chongqing was 14.52 min and the mean was 16.14 min. A 44.89% of prehospital EMS response time exceeded 15 min. Response time was more likely to surpass this threshold during peak hours and in high population density areas. Conversely, lower probabilities exceeding 15 min were observed during the night shift, summer, and autumn seasons, and areas with a high density of emergency station. 33.28% of preparation time was >3 min, with the night shift and high population density areas more likely to be >3 min, while for the summer and autumn seasons, high Gross National Product (GDP) per capita areas had a lower likelihood of having preparation time >3 min. 45.52% of travel time was >11 min, with peak hours, summer and autumn, and high GDP per capita areas more likely to have had a travel time >11 min, while night shift and high emergency station density areas had a lower likelihood of travel time >11 min. The primary factors influencing prehospital EMS response time were shifts, traffic scenarios, seasons, GDP per capita, emergency station density, and population density. Relevant departments can devise effective interventions to reduce response time through resource allocation and department coordination, staff training and work arrangement optimisation, as well as public participation and education, thereby enhancing the efficiency of prehospital emergency medical services.</p>","PeriodicalId":13800,"journal":{"name":"International Journal for Quality in Health Care","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study of prehospital EMS response time and influencing factors in the main urban area of Chongqing, China.\",\"authors\":\"Saijuan Chen, Dianguo Xing, Qiuting Wang, Yunyi An, Ying Chen, Xinyun Zhou, Weijie Tan, Hua Liu, Yan Zhang\",\"doi\":\"10.1093/intqhc/mzae065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Shortening the prehospital emergency medical service (EMS) response time is crucial for saving lives and lowering mortality and disability rates in patients with sudden illnesses. Descriptive analyses of prehospital EMS response time and each component were conducted separately using ambulance trip data from the 120 Dispatch Command Centre in the main urban area of Chongqing in 2021, and then, logistic regression analyses were used to explore the influencing factors. The median prehospital EMS response time in the main urban area of Chongqing was 14.52 min and the mean was 16.14 min. A 44.89% of prehospital EMS response time exceeded 15 min. Response time was more likely to surpass this threshold during peak hours and in high population density areas. Conversely, lower probabilities exceeding 15 min were observed during the night shift, summer, and autumn seasons, and areas with a high density of emergency station. 33.28% of preparation time was >3 min, with the night shift and high population density areas more likely to be >3 min, while for the summer and autumn seasons, high Gross National Product (GDP) per capita areas had a lower likelihood of having preparation time >3 min. 45.52% of travel time was >11 min, with peak hours, summer and autumn, and high GDP per capita areas more likely to have had a travel time >11 min, while night shift and high emergency station density areas had a lower likelihood of travel time >11 min. The primary factors influencing prehospital EMS response time were shifts, traffic scenarios, seasons, GDP per capita, emergency station density, and population density. Relevant departments can devise effective interventions to reduce response time through resource allocation and department coordination, staff training and work arrangement optimisation, as well as public participation and education, thereby enhancing the efficiency of prehospital emergency medical services.</p>\",\"PeriodicalId\":13800,\"journal\":{\"name\":\"International Journal for Quality in Health Care\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Quality in Health Care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/intqhc/mzae065\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Quality in Health Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/intqhc/mzae065","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

背景缩短院前急救服务(EMS)响应时间对于挽救生命、降低突发疾病患者的死亡率和致残率至关重要:利用2021年重庆市主城区120调度指挥中心的救护车出车数据,分别对院前急救响应时间及各组成部分进行描述性分析,然后利用逻辑回归分析探讨影响因素:结果:重庆主城区院前急救响应时间的中位数为 14.52 分钟,平均值为 16.14 分钟。44.89%的院前急救响应时间超过15分钟。在高峰时段和人口密度高的地区,响应时间更有可能超过这一临界值。相反,在夜班、夏秋季节和急救站密度高的地区,超过 15 分钟的概率较低。33.28%的准备时间超过 3 分钟,其中夜班和人口密度高的地区更有可能超过 3 分钟,而夏秋季节和人均 GDP 高的地区准备时间超过 3 分钟的可能性较低。45.52%的行车时间大于 11 分钟,高峰时段、夏秋季节和人均 GDP 高的地区行车时间大于 11 分钟的可能性较大,而夜班和急救站密度高的地区行车时间大于 11 分钟的可能性较小:结论:影响院前急救响应时间的主要因素包括轮班、交通状况、季节、人均 GDP、急救站密度和人口密度。相关部门可通过资源分配与部门协调、人员培训与工作安排优化、公众参与与教育等方式制定有效干预措施,缩短响应时间,从而提高院前急救服务效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A study of prehospital EMS response time and influencing factors in the main urban area of Chongqing, China.

Shortening the prehospital emergency medical service (EMS) response time is crucial for saving lives and lowering mortality and disability rates in patients with sudden illnesses. Descriptive analyses of prehospital EMS response time and each component were conducted separately using ambulance trip data from the 120 Dispatch Command Centre in the main urban area of Chongqing in 2021, and then, logistic regression analyses were used to explore the influencing factors. The median prehospital EMS response time in the main urban area of Chongqing was 14.52 min and the mean was 16.14 min. A 44.89% of prehospital EMS response time exceeded 15 min. Response time was more likely to surpass this threshold during peak hours and in high population density areas. Conversely, lower probabilities exceeding 15 min were observed during the night shift, summer, and autumn seasons, and areas with a high density of emergency station. 33.28% of preparation time was >3 min, with the night shift and high population density areas more likely to be >3 min, while for the summer and autumn seasons, high Gross National Product (GDP) per capita areas had a lower likelihood of having preparation time >3 min. 45.52% of travel time was >11 min, with peak hours, summer and autumn, and high GDP per capita areas more likely to have had a travel time >11 min, while night shift and high emergency station density areas had a lower likelihood of travel time >11 min. The primary factors influencing prehospital EMS response time were shifts, traffic scenarios, seasons, GDP per capita, emergency station density, and population density. Relevant departments can devise effective interventions to reduce response time through resource allocation and department coordination, staff training and work arrangement optimisation, as well as public participation and education, thereby enhancing the efficiency of prehospital emergency medical services.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.90
自引率
3.80%
发文量
87
审稿时长
6-12 weeks
期刊介绍: The International Journal for Quality in Health Care makes activities and research related to quality and safety in health care available to a worldwide readership. The Journal publishes papers in all disciplines related to the quality and safety of health care, including health services research, health care evaluation, technology assessment, health economics, utilization review, cost containment, and nursing care research, as well as clinical research related to quality of care. This peer-reviewed journal is truly interdisciplinary and includes contributions from representatives of all health professions such as doctors, nurses, quality assurance professionals, managers, politicians, social workers, and therapists, as well as researchers from health-related backgrounds.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信