Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization

被引:1
|
作者
Chen, Aokun [1 ]
Zhao, Yunpeng [2 ]
Zheng, Yi [3 ,4 ,8 ]
Hu, Hui [3 ,4 ]
Hu, Xia [5 ]
Fishe, Jennifer N. [6 ,7 ]
Hogan, William R. [1 ]
Shenkman, Elizabeth A. [1 ]
Guo, Yi [1 ]
Bian, Jiang [1 ]
机构
[1] Univ Florida, Dept Hlth Outcomes & Biomed Informat, Gainesville, FL 32611 USA
[2] Lowes Tech Hub, Charlotte, NC 28203 USA
[3] Harvard Univ, Brigham & Womens Hosp, Boston, MA 02115 USA
[4] Harvard Univ, Harvard Med Sch, Boston, MA 02115 USA
[5] Rice Univ, Dept Comp Sci, Houston, TX 77005 USA
[6] Univ Florida, Ctr Data Solut, 655 West 8th St, Jacksonville, FL 32209 USA
[7] Univ Florida, Dept Emergency Med, 655 West 8th St, Jacksonville, FL 32209 USA
[8] Merck & Co Inc, Ctr Observat & Real World Evidence CORE, Rahway, NJ 07065 USA
来源
INFORMATICS-BASEL | 2024年 / 11卷 / 01期
关键词
SARS-CoV-2; coronavirus; real-world data; exposome; incidence; IMPACT; OUTCOMES; RISK; RACE;
D O I
10.3390/informatics11010004
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
It is prudent to take a unified approach to exploring how contextual social determinants of health (SDoH) relate to COVID-19 occurrence and outcomes. Poor geographically represented data and a small number of contextual SDoH examined in most previous research studies have left a knowledge gap in the relationships between contextual SDoH and COVID-19 outcomes. In this study, we linked 199 contextual SDoH factors covering 11 domains of social and built environments with electronic health records (EHRs) from a large clinical research network (CRN) in the National Patient-Centered Clinical Research Network (PCORnet) to explore the relation between contextual SDoH and COVID-19 occurrence and hospitalization. We identified 15,890 COVID-19 patients and 63,560 matched non-COVID-19 patients in Florida between January 2020 and May 2021. We adopted a two-phase multiple linear regression approach modified from that in the exposome-wide association (ExWAS) study. After removing the highly correlated SDoH variables, 86 contextual SDoH variables were included in the data analysis. Adjusting for race, ethnicity, and comorbidities, we found six contextual SDoH variables (i.e., hospital available beds and utilization, percent of vacant property, number of golf courses, and percent of minority) related to the occurrence of COVID-19, and three variables (i.e., farmers market, low access, and religion) related to the hospitalization of COVID-19. To our best knowledge, this is the first study to explore the relationship between contextual SDoH and COVID-19 occurrence and hospitalization using EHRs in a major PCORnet CRN. As an exploratory study, the causal effect of SDoH on COVID-19 outcomes will be evaluated in future studies.
引用
收藏
页数:15
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