Disparity Surveillance of Nonfatal Motor Vehicle Crash Injuries
Disparity Surveillance of Nonfatal Motor Vehicle Crash Injuries
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DOI：
10.1080/15389588.2012.760126
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发表时间：
2013-01-01
影响因子：
2
通讯作者：
Lin, Ge
中科院分区：
文献类型：
--
作者：
Zhang, Ying;Lin, Ge
目的：在美国，由于缺乏非致命性机动车碰撞伤害的种族信息，限制了对机动车碰撞（MVC）中种族差异的理解。在这篇文章中，我们描述了一个试点监测项目在内布拉斯加州，连接碰撞报告和驾驶执照记录，调查非致命MVC injuries.Methods之间的种族差异：该项目连接43,157严重和非严重受伤的司机从碰撞报告在2006年和2010年之间的相应的国家驾驶执照数据库，使司机的种族信息，从每个MVC可以检索。对数率模型被用来检查驾驶员的种族沿着尺寸的年龄，性别，和placeofresidence.Results的MVC伤害的可能性：黑人司机有31.6%以上的严重和非严重的伤害，分别比白色司机。农村居民比城市居民更容易发生严重的MVC损伤。控制居住状态，年龄和性别并没有改变的基本模式，黑人司机有较高的非致命性MVC injuries.Conclusions率：联动的方法提供了一种有效的方式来获得额外的信息MVC伤害的差距监测。为了减少严重和非严重MVC损伤中的种族差异，应根据种族性别、种族年龄和种族位置对差异的显著贡献考虑进行特定干预。
Objective: The lack of race information for nonfatal motor vehicle crash injuries in the United States has limited the understanding of racial disparities in motor vehicle crashes (MVCs). In this article, we describe a pilot surveillance project in Nebraska that linked crash reports and driver's license records to investigate racial disparity among nonfatal MVC injuries.Methods: The project linked 43,157 severely and nonseverely injured drivers from crash reports between 2006 and 2010 to the corresponding state driver's license database so that drivers' race information from each MVC could be retrieved. A log rate model was used to examine the likelihood of MVC injuries by drivers' race along the dimensions of age, sex, and place of residence.Results: Black drivers had 31.6 and 87 percent more severe and nonsevere injuries, respectively, than white drivers. Rural residents were more likely than urban residents to have severe MVC injuries. Controlling for residence status, age, and sex did not alter the basic pattern that black drivers had higher rates of nonfatal MVC injuries.Conclusions: The linkage approach provides an effective way to obtain additional information for MVC injury disparity surveillance. To reduce racial disparities in severe and nonsevere MVC injuries, race-sex-, race-age-, and race-location-specific interventions should be considered based on their significant contributions to disparity.