Division of Critical Care Medicine, Cincinnati Children's Hospital, Cincinnati, OH; University of Cincinnati School of Medicine, Cincinnati, OH.
Johns Hopkins Bloomberg School of Public Health, Johns Hopkins School of Medicine, Baltimore, MD.
Chest. 2023 Dec;164(6):1434-1443. doi: 10.1016/j.chest.2023.07.014. Epub 2023 Jul 23.
With recent prioritization of equity in pediatric health outcomes, a shift to examine neighborhood-level health care disparities within pediatric populations has occurred, specifically in the context of critical illness.
Does an association exist between individual indicators of neighborhood-level disadvantage and incidence of PICU admission?
Pediatric patients younger than 18 years admitted to a PICU in a large urban tertiary pediatric hospital from January 1, 2016, through December 31, 2019, with a residential address in the city of Baltimore or Baltimore County on the day of admission were included in this ecological study. Demographic and clinical characteristics of children admitted to the PICU were summarized, with the primary outcome being PICU admission. Unadjusted negative binomial regression was used to examine the association between census tract-level PICU admissions and the previously described census tract-level indicators of neighborhood socioeconomic position. Regression models included an offset term for the population younger than 18 years for each census tract; results of models are reported as incidence rate ratios (IRRs) with corresponding 95% CIs.
We identified 2,476 PICU admissions: 1,351 patients from the city of Baltimore (10.25 per 1,000 children) and 1,125 patients from Baltimore County (6.31 per 1,000 children). Most PICU admissions (n = 906 [68%]) for the city of Baltimore represented an area deprivation index (ADI) of > 60, whereas most Baltimore County PICU admissions (n = 919 [82.3%]) represented an ADI of < 60. At the neighborhood level, the percentage of families living below the poverty line was associated with greater incidence of PICU admission in the city of Baltimore (IRR, 1.09; 95% CI, 1.00-1.18) and Baltimore County (IRR, 1.19; 95% CI, 1.05-1.36). For every $10,000 increase in median household income, PICU admission rates dropped by 9% for the city of Baltimore (IRR, 0.91; 95% CI, 0.86-0.95) and Baltimore County (IRR, 0.91; 95% CI, 0.88-0.94). Neighborhoods with vacant housing units also were associated with a higher incidence of PICU admission in the city of Baltimore (IRR, 1.10; 95% CI, 1.01-1.21) and Baltimore County (IRR, 1.46; 95% CI, 1.21-1.77), as was a 10% increase in occupied homes without vehicles (city of Baltimore: IRR, 1.14; 95% CI, 1.07-1.21; Baltimore County: IRR, 1.23; 95% CI, 1.11-1.37).
Health outcomes of pediatric critical illness should be examined in the context of structural determinants of health, including neighborhood-level and environmental characteristics.
随着儿科健康结果公平性的近期优先事项,人们已经开始关注儿科人群中邻里层面的医疗保健差距,特别是在重病的情况下。
个体邻里劣势指标与儿科重症监护病房(PICU)入院率之间是否存在关联?
本生态研究纳入了 2016 年 1 月 1 日至 2019 年 12 月 31 日期间,在巴尔的摩市或巴尔的摩县的大型城市三级儿科医院 PICU 入院的年龄小于 18 岁的患者,入院当天在该市有居住地址。总结了入住 PICU 儿童的人口统计学和临床特征,主要结局是 PICU 入院。使用未经调整的负二项式回归来检验 PICU 入院率与之前描述的邻里社会经济地位的普查区水平指标之间的关联。回归模型包括每个普查区的小于 18 岁的人口的偏移项;模型结果报告为发病率比(IRR)及其相应的 95%置信区间。
我们确定了 2476 例 PICU 入院:巴尔的摩市 1351 例(每千名儿童 10.25 例),巴尔的摩县 1125 例(每千名儿童 6.31 例)。大多数 PICU 入院(n=906[68%])来自巴尔的摩市的地区剥夺指数(ADI)>60,而大多数巴尔的摩县 PICU 入院(n=919[82.3%])来自 ADI<60。在邻里层面,家庭生活在贫困线以下的比例与巴尔的摩市(IRR,1.09;95%CI,1.00-1.18)和巴尔的摩县(IRR,1.19;95%CI,1.05-1.36)的 PICU 入院率较高相关。每增加 10,000 美元的家庭中位数收入,巴尔的摩市的 PICU 入院率下降 9%(IRR,0.91;95%CI,0.86-0.95)和巴尔的摩县(IRR,0.91;95%CI,0.88-0.94)。有空置房屋的社区也与巴尔的摩市(IRR,1.10;95%CI,1.01-1.21)和巴尔的摩县(IRR,1.46;95%CI,1.21-1.77)的 PICU 入院率较高相关,居住在没有车辆的住房单元中比例增加 10%(巴尔的摩市:IRR,1.14;95%CI,1.07-1.21;巴尔的摩县:IRR,1.23;95%CI,1.11-1.37)。
儿科重症监护病房(PICU)入住率应结合健康的结构性决定因素,包括邻里层面和环境特征进行评估。