Meurer William J, Levine Deborah A, Kerber Kevin A, Zahuranec Darin B, Burke James, Baek Jonggyu, Sánchez Brisa, Smith Melinda A, Morgenstern Lewis B, Lisabeth Lynda D
Department of Emergency Medicine, University of Michigan, Ann Arbor, MI; Department of Neurology, University of Michigan, Ann Arbor, MI; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI; Institute of Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Stroke Program, University of Michigan, Ann Arbor, MI.
Institute of Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI; Stroke Program, University of Michigan, Ann Arbor, MI; Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Ann Emerg Med. 2016 Mar;67(3):341-348.e4. doi: 10.1016/j.annemergmed.2015.07.524. Epub 2015 Sep 16.
Delay to hospital arrival limits acute stroke treatment. Use of emergency medical services (EMS) is key in ensuring timely stroke care. We aim to identify neighborhoods with low EMS use and to evaluate whether neighborhood-level factors are associated with EMS use.
We conducted a secondary analysis of data from the Brain Attack Surveillance in Corpus Christi project, a population-based stroke surveillance study of ischemic stroke and intracerebral hemorrhage cases presenting to emergency departments in Nueces County, TX. The primary outcome was arrival by EMS. The primary exposures were neighborhood resident age, poverty, and violent crime. We estimated the association of neighborhood-level factors with EMS use, using hierarchic logistic regression, controlling for individual factors (stroke severity, ethnicity, and age).
During 2000 to 2009 there were 4,004 identified strokes, with EMS use data available for 3,474. Nearly half (49%) of stroke cases arrived by EMS. Adjusted stroke EMS use was lower in neighborhoods with higher family income (odds ratio [OR] 0.86; 95% confidence interval [CI] 0.75 to 0.97) and a larger percentage of older adults (OR 0.70; 95% CI 0.56 to 0.89). Individual factors associated with stroke EMS use included white race (OR 1.41; 95% CI 1.13 to 1.76) and older age (OR 1.36 per 10-year age increment; 95% CI 1.27 to 1.46). The proportion of neighborhood stroke cases arriving by EMS ranged from 17% to 71%. The fully adjusted model explained only 0.3% (95% CI 0% to 1.1%) of neighborhood EMS stroke use variance, indicating that individual factors are more strongly associated with stroke EMS use than neighborhood factors.
Although some neighborhood-level factors were associated with EMS use, patient-level factors explained nearly all variability in stroke EMS use. In this community, strategies to increase EMS use should target individuals rather than specific neighborhoods.
延迟到达医院会限制急性中风的治疗。使用紧急医疗服务(EMS)是确保及时进行中风护理的关键。我们旨在确定EMS使用率低的社区,并评估社区层面的因素是否与EMS使用相关。
我们对科珀斯克里斯蒂市脑卒中标本监测项目的数据进行了二次分析,该项目是一项基于人群的缺血性卒中和脑出血病例监测研究,这些病例均送往德克萨斯州努埃塞斯县的急诊科。主要结局是通过EMS送达。主要暴露因素是社区居民年龄、贫困程度和暴力犯罪率。我们使用分层逻辑回归估计社区层面因素与EMS使用之间的关联,并对个体因素(中风严重程度、种族和年龄)进行控制。
在2000年至2009年期间,共识别出4004例中风病例,其中3474例有EMS使用数据。近一半(49%)的中风病例通过EMS送达。在家庭收入较高的社区,调整后的中风EMS使用率较低(优势比[OR]为0.86;95%置信区间[CI]为0.75至0.97),老年人比例较高的社区也是如此(OR为0.70;95%CI为0.56至0.89)。与中风EMS使用相关的个体因素包括白人种族(OR为1.41;95%CI为1.13至1.76)和年龄较大(每增加10岁OR为1.36;95%CI为1.27至1.46)。社区中风病例通过EMS送达的比例在17%至71%之间。完全调整后的模型仅解释了社区EMS中风使用率差异的0.3%(95%CI为0%至1.1%),这表明个体因素比社区因素与中风EMS使用的关联更强。
虽然一些社区层面的因素与EMS使用相关,但患者层面的因素几乎解释了中风EMS使用的所有变异性。在这个社区,增加EMS使用的策略应针对个体而非特定社区。