Suppr超能文献

新冠疫情及其他因素对意大利东北部非紧急情况下急诊科就诊量减少的影响:供给是否影响需求?

Effect of COVID-19 and other determinants on the reduction of non-urgent emergency department access in North-East Italy: does supply affect demand?

作者信息

Gobbato Michele, Vola Federico, Burba Ivana, Lattuada Luca, Regattin Laura

机构信息

ARCS - Azienda Regionale di Coordinamento per la Salute, Udine, Italy.

Fondazione Casa Cardinale Maffi ONLUS, Cecina, Italy.

出版信息

Res Health Serv Reg. 2025 Sep 1;4(1):13. doi: 10.1007/s43999-025-00073-1.

Abstract

This study examines the impact of the COVID-19 pandemic on non-urgent emergency department (ED) utilizzation in Friuli Venezia Giulia, Italy, comparing the pre-COVID (2019) and COVID (2021) periods. A retrospective observational analysis at the municipal level assessed admission rates of non-urgent patients, identified by "white code" triage. Variables analyzed included driving time to the nearest ED, altitude, and the effect of closing first intervention points. Results showed a significant 31% reduction in non-urgent ED visits from 2019 to 2021, with a mean reduction of 37.8% in municipalities affected by ED closures. A multivariate linear model showed that increased driving time and higher pre-pandemic admission rates were both associated with greater reductions in access, while altitude showed a positive correlation with access rates. The findings suggest that service supply limitations, such as ED closures, significantly reduce non-urgent ED utilization, especially in lowland and hilly areas, but less so in mountainous regions.

摘要

本研究考察了新冠疫情对意大利弗留利-威尼斯朱利亚地区非紧急情况下急诊科(ED)使用情况的影响,比较了新冠疫情前(2019年)和疫情期间(2021年)的情况。一项市级回顾性观察分析评估了通过“白色代码”分诊确定的非紧急患者的入院率。分析的变量包括到最近急诊科的驾车时间、海拔高度以及关闭一级干预点的影响。结果显示,2019年至2021年期间,非紧急情况下的急诊科就诊人数显著减少了31%,在受急诊科关闭影响的城市中,平均减少了37.8%。多元线性模型显示,驾车时间增加和疫情前较高的入院率均与就诊机会的更大减少相关,而海拔高度与就诊率呈正相关。研究结果表明,诸如急诊科关闭等服务供应限制会显著降低非紧急情况下的急诊科使用率,尤其是在低地和丘陵地区,但在山区影响较小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d251/12401819/02b5ec367ce3/43999_2025_73_Fig1_HTML.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