伊朗和选定国家的国家道路交通事故信息系统。

Mahrokh Anvari, Hassan Emami, Azamossadat Hosseini, Ali Delpisheh, Farkhondeh Asadi
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引用次数: 0

摘要

背景:国家道路交通事故信息系统为管理人员和政策制定者提供系统地获取和分析碰撞数据,对加强道路和交通安全至关重要。因此,本研究的目的是审查这些系统内的数据收集和交换过程,并查明各参与组织的作用和意义。方法:本研究按照系统评价和荟萃分析的首选报告项目(PRISMA)指南进行。使用科学信息数据库(SID)、谷歌Scholar、Science Direct和PubMed进行综合文献检索,出版日期范围限制在1995-2024年。根据预先确定的纳入和排除标准对检索到的研究进行筛选和选择。使用混合方法评估工具(MMAT)和关键评估技能计划(CASP)对纳入本综述的研究进行质量评估。结果:在纳入的22项研究中,10项(45%)侧重于国家道路交通事故信息系统内的数据收集和记录。七项研究(31%)调查了参与这些系统的组织的作用和重要性,而五项研究(22%)关注数据交换过程。根据MMAT评价标准,13项研究(81%)显示低偏倚风险,表明质量水平较高。相比之下,两项研究(12%)显示出中等偏倚风险,一项研究(6%)显示出高偏倚风险,符合不到50%的评估标准。基于对6项综述性研究的CASP评价,4项(66%)显示低偏倚风险,2项(33%)显示中等偏倚风险。结论:本综述的发现强调了优先考虑领先组织和描述标准化最小碰撞数据集的重要性。这种方法有可能简化数据记录过程,促进组织间的沟通和协调,减少相互矛盾的报告的发生,并提高决策的总体有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
National road traffic accident information system in Iran and selected countries.

Background: The National Road Traffic Accident Information System is crucial in enhancing road and traffic safety by providing managers and policymakers with systematic access to and analysis of crash data. Accordingly, the present study aims to review the data collection and exchange processes within these systems and to identify the roles and significance of the participating organizations.

Methods: The current study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Comprehensive literature searches were carried out using Scientific Information Database (SID), Google Scholar, Science Direct, and PubMed with the publication date range restricted to 1995-2024. Screening and selection of the studies retrieved were performed based on predefined inclusion and exclusion criteria. The quality assessment of the studies included in this review was conducted using the Mixed Methods Appraisal Tool (MMAT) and the Critical Appraisal Skills Programme (CASP).

Results: Of the 22 studies included, 10 (45%) focused on data collection and recording within the National Road Traffic Accident Information System. Seven studies (31%) examined the role and significance of the organizations involved with these systems, while five studies (22%) focused on the data exchange process. According to the MMAT evaluation criteria, 13 studies (81%) demonstrated a low risk of bias, indicating a high level of quality. In contrast, two studies (12%) showed a moderate risk of bias, and one study (6%) had a high risk of bias, meeting less than 50% of the assessed criteria. Based on the CASP evaluation of the six review studies, four (66%) showed a low risk of bias, while two (33%) exhibited a moderate risk of bias.

Conclusions: The findings of this review highlight the critical importance of prioritizing a leading organization and delineating a standardized minimum crash dataset. This approach has the potential to streamline the data recording process, foster inter-organizational communication and coordination, mitigate the occurrence of contradictory reports, and enhance the overall effectiveness of decision-making.

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