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邻里环境和个体特征对儿童危重病的影响。

The effect of neighborhood and individual characteristics on pediatric critical illness.

作者信息

Epstein David, Reibel Michael, Unger Jennifer B, Cockburn Myles, Escobedo Loraine A, Kale David C, Chang Jennifer C, Gold Jeffrey I

机构信息

Department of Anesthesiology Critical Care Medicine, Keck School of Medicine, Children's Hospital Los Angeles, University of Southern California, 4650 Sunset Boulevard, MS #3, Los Angeles, CA, 90027, USA,

出版信息

J Community Health. 2014 Aug;39(4):753-9. doi: 10.1007/s10900-014-9823-0.

Abstract

The relationship between neighborhood/individual characteristics and pediatric intensive care unit (PICU) outcomes is largely unexplored. We hypothesized that individual-level racial/ethnic minority status and neighborhood-level low socioeconomic status and minority concentration would adversely affect children's severity of illness on admission to the PICU. Retrospective analyses (1/1/2007-5/23/2011) of clinical, geographic, and demographic data were conducted at an academic, tertiary children's hospital PICU. Clinical data included age, diagnosis, insurance, race/ethnicity, Pediatric Index of Mortality 2 score on presentation to the PICU (PIM2), and mortality. Residential addresses were geocoded and linked with 2010 US Census tract data using geographic information systems geocoding techniques. Repeated measures models to predict PIM2 and mortality were constructed using three successive models with theorized covariates including the patient's race/ethnicity, the predominant neighborhood racial/ethnic group, interactions between patient race/ethnicity and neighborhood race/ethnicity, neighborhood socioeconomic status, and insurance type. Of the 5,390 children, 57.8% were Latino and 70.1% possessed government insurance. Latino children (β = 0.31; p < 0.01), especially Latino children living in a Latino ethnic enclave (β = 1.13; p < 0.05), had higher PIM2 scores compared with non-Latinos. Children with government insurance (β = 0.29; p < 0.01) had higher PIM2 scores compared to children with other payment types and median neighborhood income was inversely associated with PIM2 scores (β = -0.04 per $10,000/year of income; p < 0.05). Lower median neighborhood income, Latino ethnicity, Latino children living in a predominantly Latino neighborhood, and children possessing government insurance were associated with a higher severity of illness on PICU admission. The reasons why these factors affect critical illness severity require further exploration.

摘要

社区/个体特征与儿科重症监护病房(PICU)治疗结果之间的关系在很大程度上尚未得到探究。我们假设个体层面的种族/族裔少数群体身份以及社区层面的低社会经济地位和少数群体集中程度会对儿童入住PICU时的疾病严重程度产生不利影响。在一家学术性三级儿童医院的PICU对临床、地理和人口数据进行了回顾性分析(2007年1月1日至2011年5月23日)。临床数据包括年龄、诊断、保险、种族/族裔、入住PICU时的儿科死亡率指数2评分(PIM2)以及死亡率。使用地理信息系统地理编码技术对居住地址进行地理编码,并与2010年美国人口普查区数据相关联。使用三个连续模型构建预测PIM2和死亡率的重复测量模型,这些模型具有理论上的协变量,包括患者的种族/族裔、主要社区种族/族裔群体、患者种族/族裔与社区种族/族裔之间的相互作用、社区社会经济地位以及保险类型。在5390名儿童中,57.8%为拉丁裔,70.1%拥有政府保险。与非拉丁裔儿童相比,拉丁裔儿童(β = 0.31;p < 0.01),尤其是居住在拉丁裔族群聚居区的拉丁裔儿童(β = 1.13;p < 0.05)的PIM2评分更高。与其他支付类型的儿童相比,拥有政府保险的儿童(β = 0.29;p < 0.01)的PIM2评分更高,且社区收入中位数与PIM2评分呈负相关(每收入10,000美元/年β = -0.04;p < 0.05)。社区收入中位数较低、拉丁裔族裔、居住在以拉丁裔为主的社区的拉丁裔儿童以及拥有政府保险的儿童与入住PICU时更高的疾病严重程度相关。这些因素影响危重病严重程度的原因需要进一步探究。

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