Abstract：
This systematic review examines studies of traffic injury that involved linkage of police crash data and hospital data and were published from 1994 to 2023 worldwide in English. Inclusion and exclusion criteria were the basis for selecting papers from PubMed, Web of Science, and Scopus, and for identifying additional relevant papers using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and supplementary snowballing (n = 60). The selected papers were reviewed in terms of research objectives, data items and sample size included, temporal and spatial coverage, linkage methods and software tools, as well as linkage rates and most significant findings. Many studies found that the number of clinically significant road injury cases was much higher according to hospital data than crash data. Under-estimation of cases in crash data differs by road user type, pedestrian cases commonly being highly under-counted. A limited number of the papers were from low- and middle-income countries. The papers reviewed lack consistency in what was reported and how, which limited comparability.
摘要：
本系统综述研究了涉及警察撞车数据和医院数据联系的交通伤害研究，并于1994年至2023年在全球范围内以英文发表。纳入和排除标准是选择PubMed论文的基础，WebofScience,还有Scopus,并使用PRISMA（系统审查和荟萃分析的首选报告项目）和补充滚雪球（n=60）确定其他相关论文。在研究目标方面对入选论文进行了综述，包括数据项和样本量，时间和空间覆盖，链接方法和软件工具，以及联动率和最重要的发现。许多研究发现，根据医院数据，临床重大道路伤害病例的数量要比撞车数据高得多。碰撞数据中的案例估计不足因道路使用者类型而异，行人案件通常被高度低估。数量有限的论文来自低收入和中等收入国家。审查的论文在报告的内容和方法上缺乏一致性，这限制了可比性。
