Henry Ford Health System, Detroit.
Department of Medicine, Health Services and Care Research Program.
Med Care. 2021 Oct 1;59(10):888-892. doi: 10.1097/MLR.0000000000001624.
Despite many studies reporting disparities in coronavirus disease-2019 (COVID-19) incidence and outcomes in Black and Hispanic/Latino populations, mechanisms are not fully understood to inform mitigation strategies.
The aim was to test whether neighborhood factors beyond individual patient-level factors are associated with in-hospital mortality from COVID-19. We hypothesized that the Area Deprivation Index (ADI), a neighborhood census-block-level composite measure, was associated with COVID-19 mortality independently of race, ethnicity, and other patient factors.
Multicenter retrospective cohort study examining COVID-19 in-hospital mortality.
Inclusion required hospitalization with positive SARS-CoV-2 test or COVID-19 diagnosis at three large Midwestern academic centers.
The primary study outcome was COVID-19 in-hospital mortality. Patient-level predictors included age, sex, race, insurance, body mass index, comorbidities, and ventilation. Neighborhoods were examined through the national ADI neighborhood deprivation rank comparing in-hospital mortality across ADI quintiles. Analyses used multivariable logistic regression with fixed site effects.
Among 5999 COVID-19 patients median age was 61 (interquartile range: 44-73), 48% were male, 30% Black, and 10.8% died. Among patients who died, 32% lived in the most disadvantaged quintile while 11% lived in the least disadvantaged quintile; 52% of Black, 24% of Hispanic/Latino, and 8.5% of White patients lived in the most disadvantaged neighborhoods.Living in the most disadvantaged neighborhood quintile predicted higher mortality (adjusted odds ratio: 1.74; 95% confidence interval: 1.13-2.67) independent of race. Age, male sex, Medicare coverage, and ventilation also predicted mortality.
Neighborhood disadvantage independently predicted in-hospital COVID-19 mortality. Findings support calls to consider neighborhood measures for vaccine distribution and policies to mitigate disparities.
尽管许多研究报告了黑人和西班牙裔/拉丁裔人群中 2019 年冠状病毒病(COVID-19)发病率和结局存在差异,但尚未完全了解机制以制定缓解策略。
旨在测试除个体患者因素以外的邻里因素是否与 COVID-19 的院内死亡率相关。我们假设,邻里贫困指数(ADI),一种邻里普查块级综合衡量指标,与 COVID-19 死亡率相关,与种族、民族和其他患者因素无关。
考察 COVID-19 院内死亡率的多中心回顾性队列研究。
需要在中西部三个大型学术中心住院治疗且 SARS-CoV-2 检测或 COVID-19 诊断为阳性的患者。
主要研究结果是 COVID-19 的院内死亡率。患者水平的预测因素包括年龄、性别、种族、保险、体重指数、合并症和通气。通过全国 ADI 邻里贫困排名评估邻里因素,根据 ADI 五分位数比较院内死亡率。分析采用固定地点效应的多变量逻辑回归。
在 5999 例 COVID-19 患者中,中位年龄为 61 岁(四分位距:44-73),48%为男性,30%为黑人,10.8%死亡。在死亡患者中,32%居住在最贫困的五分位数,而 11%居住在最不贫困的五分位数;52%的黑人、24%的西班牙裔/拉丁裔和 8.5%的白人患者居住在最贫困的社区。居住在最贫困的五分位数与更高的死亡率相关(调整后的优势比:1.74;95%置信区间:1.13-2.67),与种族无关。年龄、男性、医疗保险覆盖和通气也预测死亡率。
邻里劣势独立预测 COVID-19 院内死亡率。研究结果支持呼吁考虑疫苗分配的邻里措施和缓解差异的政策。