Suppr超能文献

用创伤登记数据补充警方道路交通事故记录——初步评估

Complementing police road-crash records with trauma registry data--an initial evaluation.

作者信息

Lopez D G, Rosman D L, Jelinek G A, Wilkes G J, Sprivulis P C

机构信息

Department of Emergency Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia.

出版信息

Accid Anal Prev. 2000 Nov;32(6):771-7. doi: 10.1016/s0001-4575(99)00130-x.

Abstract

This paper examines the consistency of hospital and police reporting of outcomes of road traffic crashes using a database of linked police crash reports and trauma registry records. Criteria for inclusion into the trauma registry include trauma-related causes with subsequent stay of more than 24 h or death due to injuries. During the 1997 calendar year there were 497 cases of road-related injuries within the combined trauma registry of Sir Charles Gairdner and Fremantle Hospitals, of which only 82% had matching police records. Linkage rates were associated with gender, injury severity and the number of vehicles involved. Within the road user category, pedestrians were least likely to link. Of the linked records, police classification of injury severity was correct in 78% of cases. Male casualties were more likely to be correctly classified than females, after adjustment for related variables including injury severity. Correct classification of injury by police was also closely related to severity of injury. Identification and targeting of these groups of casualties is vital in refining the road-crash reporting system. Increased crash reporting and availability of data from these two sources will provide road authorities with more reliable measures of injury outcome.

摘要

本文利用警方交通事故报告与创伤登记记录相链接的数据库,研究了医院和警方在道路交通碰撞事故结果报告方面的一致性。纳入创伤登记的标准包括与创伤相关的原因以及随后住院超过24小时或因伤死亡。在1997年日历年度,查尔斯·盖尔德纳爵士医院和弗里曼特尔医院的联合创伤登记中有497例道路相关损伤病例,其中只有82%有匹配的警方记录。链接率与性别、损伤严重程度和涉及的车辆数量有关。在道路使用者类别中,行人的链接可能性最小。在链接的记录中,警方对损伤严重程度的分类在78%的病例中是正确的。在对包括损伤严重程度在内的相关变量进行调整后,男性伤亡者比女性更有可能被正确分类。警方对损伤的正确分类也与损伤严重程度密切相关。识别和针对这些伤亡人群对于完善道路碰撞报告系统至关重要。增加碰撞报告以及这两个来源的数据可用性,将为道路管理部门提供更可靠的损伤结果衡量标准。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验