Association of COVID-19 With Race and Socioeconomic Factors in Family Medicine
Association of COVID-19 With Race and Socioeconomic Factors in Family Medicine
复制标题
DOI：
10.3122/jabfm.2021.s1.200338
复制
发表时间：
2021-02-01
影响因子：
2.9
通讯作者：
Kaysin, Alexander
中科院分区：
文献类型：
--
作者：
Khanna, Niharika;Klyushnenkova, Elena N.;Kaysin, Alexander
简介：最近的数据表明，社会经济、环境、人口和健康因素可能导致2019冠状病毒（COVID-19）的脆弱性。本研究的目的是评估严重急性呼吸综合征冠状病毒（SARS冠状病毒-2）感染和人口统计学和社会经济因素之间的关联，从一个大的学术家庭医学实践，以支持实践operation.Methods：SARS冠状病毒-2测试的实践提供者的患者被称为使用共享的病人名单中的电子健康记录（史诗）。使用健康信息交换（CRISP）来识别在其他地方接受检测的额外实践归因患者。结果：与白色非西班牙裔患者相比，黑人非西班牙裔患者中COVID-19检测的几率更高（比值比[OR] = 1.75; 95%CI，1.18-2.59，P = .0052）和西班牙裔患者（OR = 5.40; 95%CI，3.11-9.38，P < .0001）。潜在类别分析揭示了健康差异的其他模式。与生活在社会经济贫困程度较低的地区，主要是白色人的患者相比，生活在地区贫困指数8-10的地区，主要是黑人的患者感染SARS CoV-2的风险较高（OR = 1.68; 95%CI，1.25-2.28; P = .0007）。我们的数据提供了对COVID-19与居住在社会经济高度贫困地区的种族/少数民族患者之间关系的深入了解。这些数据可能会影响未来门诊COVID-19的外展和管理。
Introduction: Recent data demonstrated that socioeconomic, environmental, demographic, and health factors can contribute to vulnerability for coronavirus 2019 (COVID-19). The goal of this study was to assess association between severe acute respiratory syndrome coronavirus (SARS CoV-2) infection and demographic and socioeconomic factors in patients from a large academic family medicine practice to support practice operations.Methods: Patients referred for SARS CoV-2 testing by practice providers were identified using shared patient lists in the electronic health records (Epic). The Health Information Exchange (CRISP) was used to identify additional practice-attributed patients receiving testing elsewhere.Results: Compared with white non-Hispanic patients, the odds of COVID-19 detection were higher in black non-Hispanic (odds ratio [OR] = 1.75; 95% CI, 1.18-2.59, P = .0052) and Hispanic patients (OR = 5.40; 95% CI, 3.11-9.38, P < .0001). The latent class analysis revealed additional patterns in health disparities. Patients living in the areas with Area Deprivation Index 8-10 who were predominantly black had higher risk for SARS CoV-2 infection compared with patients living in less socioeconomically deprived areas who were predominantly white (OR = 1.68; 95% CI, 1.25-2.28; P = .0007).Conclusion: Our data provide insight into the association of COVID-19 with race/ethnic minority patients residing in highly socioeconomically deprived areas. These data could impact outreach and management of ambulatory COVID-19 in the future.