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2019冠状病毒病大流行对道路交通碰撞所致住院的影响;系统评价与Meta分析

The Impact of The COVID-19 Pandemic on Hospital Admissions Due to Road Traffic Crashes; a Systematic Review and Meta-Analysis.

作者信息

Kabiri Neda, Abbasi Amin, Pashazadeh Fariba, Hajebrahimi Sakineh, Soleimanpour Hassan

机构信息

Research Center for Evidence-based Medicine, Iranian EBM Centre: A JBI Centre of Excellence, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.

Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.

出版信息

Arch Acad Emerg Med. 2023 Nov 17;12(1):e12. doi: 10.22037/aaem.v12i1.2157. eCollection 2024.

Abstract

INTRODUCTION

During the unprecedented COVID-19 lockdowns, road traffic was limited, and a change in the traumatic emergency admission pattern was anticipated. We conducted the current systematic review and meta-analysis to assess the impact of the COVID-19 pandemic on hospital admissions due to road traffic crashes.

METHODS

This systematic review and meta-analysis was conducted based on the Joanna Briggs Institute (JBI) instructions. The following databases were searched: PubMed, ISI Web of Knowledge, Scopus, ProQuest, and the Cochrane Library. Two independent reviewers screened articles based on the inclusion criteria for the review and assessed the methodological quality of the included studies using an appropriate appraisal checklist, introduced by the JBI, based on the study type. The meta-analysis was performed using Comprehensive meta-analysis (CMA) software. Considering the heterogeneity among studies, a random effect model was adopted to estimate the pooled effect with 95% confidence interval (CI) for binary outcomes.

RESULTS

A total of 13 studies were included in this systematic review, and all of them were considered for meta-analysis. According to the meta-analysis, differences in hospital admission rates during the COVID-19 pandemic and one year before this pandemic were statistically significant [RR: 0.685 CI 95% (0.578 -0.813) p<0.00001]. The heterogeneity assessment of the included studies in the meta-analysis showed high heterogeneity (I=78%, p<0.00001).

CONCLUSION

The results of this systematic review showed that the COVID-19 pandemic dramatically reduced the number of hospital admissions related to road traffic crashes because of both quarantines and lifestyle changes. Health policymakers and top health managers might use the results of this systematic review in similar contexts in the future.

摘要

引言

在前所未有的新冠疫情封锁期间,道路交通受到限制,预计创伤急诊入院模式会发生变化。我们进行了本次系统评价和荟萃分析,以评估新冠疫情对道路交通碰撞导致的医院入院情况的影响。

方法

本系统评价和荟萃分析是根据乔安娜·布里格斯研究所(JBI)的指导方针进行的。检索了以下数据库:PubMed、ISI 科学网、Scopus、ProQuest 和考科蓝图书馆。两名独立的评审员根据纳入标准筛选文章,并使用 JBI 根据研究类型引入的适当评估清单评估纳入研究的方法学质量。使用综合荟萃分析(CMA)软件进行荟萃分析。考虑到研究之间的异质性,采用随机效应模型来估计二元结局的合并效应及 95%置信区间(CI)。

结果

本系统评价共纳入 13 项研究,所有研究均纳入荟萃分析。根据荟萃分析,新冠疫情期间与疫情前一年的医院入院率差异具有统计学意义[RR:0.685,95%CI(0.578 - 0.813),p<0.00001]。荟萃分析中纳入研究的异质性评估显示异质性较高(I = 78%,p<0.00001)。

结论

本系统评价结果表明,由于隔离措施和生活方式的改变,新冠疫情显著减少了与道路交通碰撞相关的医院入院人数。卫生政策制定者和高级卫生管理人员未来在类似情况下可能会使用本系统评价的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8270/10757575/9ef401b1772e/aaem-12-e12-g001.jpg

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