对机动车事故与医院数据集之间的数据联系进行系统审查和元分析
Sajjad Karimi1, Aryan Hosseinzadeh2, Robert Kluger1
1Department of Civil and Environmental Engineering, University of Louisville, KY, United States.
Accident; analysis and prevention
|January 10, 2024
概括
将机动车事故数据与医院记录联系起来,可以改善伤害结果分析. 综合方法和报告警察和医院连接率都提高了研究准确度.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 数据科学数据科学数据科学
背景情况:
- 机动车事故数据链接对于了解伤害结果和导致事故的因素至关重要.
- 将事故数据与医院记录联系起来提供了有价值的见解,但需要强大的方法.
研究的目的:
- 系统地审查和元分析现有的关于机动车辆事故和医院数据链接的研究.
- 总结方法,发现,并确定该领域的研究差距.
主要方法:
- 一项全面的文献搜索确定了54项用于定性分析的研究和35项用于定量元分析的研究.
- 评估了手动,决定性,概率和整合性数据链接方法.
主要成果:
- 结合算法的整合链接方法产生更高的匹配率和更少的错误.
- 连接率有很大差异,受数据集大小,覆盖范围和连接变量的影响.
- 性别,年龄,撞车类型和道路几何形状等因素影响了记录链接.
- 报告警察和医院连接率是必不可少的,同时考虑人口偏见.
结论:
- 有效的数据链接策略对于准确的伤害结果和碰撞因素分析至关重要.
- 未来的研究应该专注于优化链接方法和解决潜在的偏见.
- 建议对链接指标进行标准化报告,以提高研究可比性.
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