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.

这篇系统综述考察了交通伤害研究，涉及警察事故数据和医院数据的关联，并于 1994 年至 2023 年在全球范围内以英文发表。纳入和排除标准是从 PubMed、Web of Science 和 Scopus 中选择论文以及使用 PRISMA（系统评价和荟萃分析的首选报告项目）和补充滚雪球 (n = 60) 识别其他相关论文的基础。对入选论文的研究目标、数据项和样本量、时空覆盖范围、关联方法和软件工具、关联率和最重要的发现进行了审查。许多研究发现，根据医院数据，具有临床意义的道路伤害病例数比事故数据要高得多。碰撞数据中对案例的低估因道路使用者类型而异，行人案例通常被严重低估。数量有限的论文来自低收入和中等收入国家。所审查的论文在报道内容和报道方式上缺乏一致性，这限制了可比性。