Background:
Health disparities and Coronavirus disease 2019 (COVID-19) mortality is an evolving topic. This study sought to explore the relationship between patient ethnicity, annual household income, and COVID-19 mortality.
Methods:
A chart review was conducted of 6,000 hospitalized patients with positive COVID-19 polymerase chain reaction (PCR) tests from March 2020 to June 2021 at Methodist Health System in Dallas, Texas. Patient age, gender, ethnicity, and zip code were collected. The sample included 3,114 males and 2,886 females with a mean age of 61.6±17.1 years. Ethnicity selected by the patient was used. Median annual income by zip code was obtained from the 2020 U.S. Census Data. A Chi-square test was used to calculate p-values.
Results:
No statistically significant difference in mortality based on ethnicity or median annual income by zip code was found. Asian American patients had the lowest mortality rate, while Hispanic, Latino, or Spanish origin had the highest mortality rate with p(0.92), independent of other factors. Patients living in a zip code with a median household annual income of $40-80K had the lowest mortality rate while those with ≥$80K had the highest mortality rate with p(0.12), independent of other factors as shown in Table 1.
Conclusion:
Our study suggested that neither ethnicity nor income predicted mortality in admitted COVID-19 patients, independent of age and gender.
Footnotes
Poster Contributions
For exact presentation time, refer to the online ACC.22 Program Planner at https://www.abstractsonline.com/pp8/#!/10461
Session Title: Spotlight on Special Topics Flatboard Poster Selections: COVID
Abstract Category: 61. Spotlight on Special Topics: Coronavirus Disease (COVID-19)