关键词: TBI model systems arrests racial/ethnic disparities rehabilitation traumatic brain injury

来  源:   DOI:10.3390/healthcare10102078

Abstract:
Background: Previous literature has documented racial/ethnic differences in traumatic brain injury (TBI) risk, cause, treatment, and rehabilitation. The purpose of the current study was to investigate potential racial/ethnic differences in arrest probability trajectories over the first 10 years after TBI and whether injury and sociodemographic characteristics accounted for these differences. Methods: The current study included 13,195 participants with moderate-to-severe TBI in the TBI Model Systems National Database who had arrest data from at least one follow-up time point (Years 1, 2, 5, and/or 10). A series of hierarchical linear models assessed racial/ethnic differences in trajectories of arrest probability over these 10 years post-injury and then included socio-demographic and injury-related covariates. Results: White individuals with TBI had lower arrest probability trajectories than Black and Native American individuals, and Asian individuals with TBI had lower arrest probability trajectories than White, Black, Latinx, and Native American persons. In many cases, racial/ethnic disparities persisted even when injury and sociodemographic characteristics were covaried. Conclusion: These results suggest that rehabilitation clinicians should assess for post-injury arrest risk factors such as age, sex, education, pre-injury unemployment, arrest history, and substance abuse, particularly in Black, Latinx, and Native American groups, and integrate programming to lessen post-injury arrest probability and improve overall rehabilitation outcomes.
摘要:
背景:以前的文献已经记录了创伤性脑损伤(TBI)风险的种族/民族差异,cause,治疗,和康复。本研究的目的是调查TBI后的前10年中逮捕概率轨迹的潜在种族/民族差异,以及伤害和社会人口统计学特征是否解释了这些差异。方法:目前的研究包括13,195名在TBI模型系统国家数据库中患有中度至重度TBI的参与者,他们有至少一个随访时间点(1、2、5和/或10年)的逮捕数据。一系列分层线性模型评估了受伤后10年内逮捕概率轨迹的种族/族裔差异,然后包括社会人口统计学和与伤害相关的协变量。结果:患有TBI的白人比黑人和美洲原住民有更低的逮捕概率轨迹,患有TBI的亚洲人的逮捕概率轨迹比怀特低,黑色,Latinx,和美洲原住民。在许多情况下,即使伤害和社会人口统计学特征共存,种族/民族差异仍然存在.结论:这些结果表明,康复临床医生应评估受伤后的风险因素,如年龄,性别,教育,受伤前失业,逮捕历史,和药物滥用,尤其是在黑色,Latinx,和美洲原住民团体,并整合编程以降低伤后骤停概率并改善整体康复效果。
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