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Published on: November 10, 2023
Racial and sociodemographic predictors of COVID-19 compared with influenza, appendicitis, and all-cause
Eva Raphael1,2, Kristen M J Azar1,3, Dian Gu4,5
1Department of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Insights
COVID-19 inequities in infection and hospitalization were distinct from other conditions like influenza, with higher risks observed in Latine and Spanish-speaking populations. Targeted public health interventions are crucial for these vulnerable groups.
Area of Science:
- Public Health
- Epidemiology
- Health Disparities
Background:
- Understanding health inequities is crucial for effective public health strategies.
- COVID-19 has disproportionately affected certain demographic groups, necessitating comparison with other common medical conditions.
Purpose of the Study:
- To compare racial/ethnic and sociodemographic inequities in COVID-19 infection and hospitalization with those of influenza, appendicitis, and all-cause hospitalization.
- To identify predictors of hospitalization for COVID-19 and influenza.
Main Methods:
- Retrospective study utilizing electronic health records from three San Francisco healthcare systems.
- Analysis of racial/ethnic distribution and sociodemographic predictors of hospitalization for COVID-19, influenza, appendicitis, and all-cause hospitalizations.
Main Results:
- Racial/ethnic distribution and hospitalization rates for COVID-19 differed significantly from influenza and appendicitis across all healthcare systems.
- Latine patients showed higher COVID-19 infection rates in the public healthcare system compared to influenza and appendicitis.
- COVID-19 hospitalizations were linked to male sex, Asian/Pacific Islander ethnicity, Spanish language, and public insurance in the university system, and Latine ethnicity and obesity in the community system.
Conclusions:
- Significant racial/ethnic and sociodemographic inequities exist in COVID-19 infection and hospitalization, differing from other medical conditions.
- Latine and Spanish-speaking individuals consistently faced higher odds of COVID-19 related disparities.
- Disease-specific public health efforts and structural interventions are essential to address these health disparities.
Objective:
To determine whether inequities in COVID-19 infection and hospitalization differ from those for common medical conditions: influenza, appendicitis, and all-cause hospitalization.
Design:
Retrospective study based on electronic health records of three healthcare systems in San Francisco (university, public, and community) examining (1) racial/ethnic distribution in cases and hospitalization among patients with diagnosed COVID-19 (March-August 2020) and patients with diagnosed influenza, diagnosed appendicitis, or all-cause hospitalization (August 2017-March 2020), and (2) sociodemographic predictors of hospitalization among those with diagnosed COVID-19 and influenza.
Results:
Patients 18 years or older with diagnosed COVID-19 (N = 3934), diagnosed influenza (N = 5932), diagnosed appendicitis (N = 1235), or all-cause hospitalization (N = 62,707) were included in the study. The age-adjusted racial/ethnic distribution of patients with diagnosed COVID-19 differed from that of patients with diagnosed influenza or appendicitis for all healthcare systems, as did hospitalization from these conditions compared to any cause. For example, in the public healthcare system, 68% of patients with diagnosed COVID-19 were Latine, compared with 43% of patients with diagnosed influenza, and 48% of patients with diagnosed appendicitis (p < 0.05). In multivariable logistic regressions, COVID-19 hospitalizations were associated with male sex, Asian and Pacific Islander race/ethnicity, Spanish language, and public insurance in the university healthcare system, and Latine race/ethnicity and obesity in the community healthcare system. Influenza hospitalizations were associated with Asian and Pacific Islander and other race/ethnicity in the university healthcare system, obesity in the community healthcare system, and Chinese language and public insurance in both the university and community healthcare systems.
Conclusions:
Racial/ethnic and sociodemographic inequities in diagnosed COVID-19 and hospitalization differed from those for diagnosed influenza and other medical conditions, with consistently higher odds among Latine and Spanish-speaking patients. This work highlights the need for disease-specific public health efforts in at-risk communities in addition to structural upstream interventions.
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