{"title":"COVID-19大流行对道路交通事故入院治疗的影响;系统回顾与元分析》。","authors":"Neda Kabiri, Amin Abbasi, Fariba Pashazadeh, Sakineh Hajebrahimi, Hassan Soleimanpour","doi":"10.22037/aaem.v12i1.2157","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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<sup>2</sup>=78%, p<0.00001).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":8146,"journal":{"name":"Archives of Academic Emergency Medicine","volume":"12 1","pages":"e12"},"PeriodicalIF":2.9000,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10757575/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Impact of The COVID-19 Pandemic on Hospital Admissions Due to Road Traffic Crashes; a Systematic Review and Meta-Analysis.\",\"authors\":\"Neda Kabiri, Amin Abbasi, Fariba Pashazadeh, Sakineh Hajebrahimi, Hassan Soleimanpour\",\"doi\":\"10.22037/aaem.v12i1.2157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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<sup>2</sup>=78%, p<0.00001).</p><p><strong>Conclusion: </strong>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. 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引用次数: 0
摘要
导言:在史无前例的 COVID-19 封锁期间,道路交通受到限制,预计创伤性急诊入院模式将发生变化。我们进行了本次系统回顾和荟萃分析,以评估 COVID-19 大流行对道路交通事故入院治疗的影响:本系统综述和荟萃分析是根据乔安娜-布里格斯研究所(JBI)的指示进行的。检索了以下数据库:PubMed、ISI Web of Knowledge、Scopus、ProQuest 和 Cochrane 图书馆。两位独立审稿人根据综述的纳入标准对文章进行筛选,并根据研究类型使用 JBI 引入的适当评估清单对纳入研究的方法学质量进行评估。荟萃分析采用综合荟萃分析(CMA)软件进行。考虑到研究间的异质性,采用随机效应模型来估计二元结果的集合效应及95%置信区间(CI):本系统综述共纳入 13 项研究,并对所有研究进行了荟萃分析。根据荟萃分析结果,COVID-19 大流行期间和大流行前一年的入院率差异具有统计学意义[RR:0.685 CI 95% (0.578 -0.813) p2=78%,p结论:本次系统回顾的结果表明,由于隔离和生活方式的改变,COVID-19 大流行大大减少了与道路交通事故相关的入院人数。卫生政策制定者和高层卫生管理人员今后可能会在类似情况下使用本系统综述的结果。
The Impact of The COVID-19 Pandemic on Hospital Admissions Due to Road Traffic Crashes; a Systematic Review and Meta-Analysis.
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 (I2=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.