Facemasks: Perceptions and use in an ED population during COVID-19.

STUDY OBJECTIVE: Facemask use is associated with reduced transmission of SARS-CoV-2. Most surveys assessing perceptions and practices of mask use miss the most vulnerable racial, ethnic, and socio-economic populations. These same populations have suffered disproportionate impacts from the pandemic. The purpose of this study was to assess beliefs, access, and practices of mask wearing across 15 urban emergency department (ED) populations. METHODS: This was a secondary analysis of a cross-sectional study of ED patients from December 2020 to March 2021 at 15 geographically diverse, safety net EDs across the US. The primary outcome was frequency of mask use outside the home and around others. Other outcome measures included having enough masks and difficulty obtaining them. RESULTS: Of 2,575 patients approached, 2,301 (89%) agreed to participate; nine had missing data pertaining to the primary outcome, leaving 2,292 included in the final analysis. A total of 79% of respondents reported wearing masks "all of the time" and 96% reported wearing masks over half the time. Subjects with PCPs were more likely to report wearing masks over half the time compared to those without PCPs (97% vs 92%). Individuals experiencing homelessness were less likely to wear a mask over half the time compared to those who were housed (81% vs 96%). CONCLUSIONS: Study participants reported high rates of facemask use. Respondents who did not have PCPs and those who were homeless were less likely to report wearing a mask over half the time and more likely to report barriers in obtaining masks. The ED may serve a critical role in education regarding, and provision of, masks for vulnerable populations.

High Rates of COVID-19 Infection Among Indigenous Maya at a US Safety-Net Health System in California.

Coronavirus disease 2019 (COVID-19) has disproportionately and negatively affected communities of color in the United States, especially Black, Latinx, and Indigenous populations. We report a cluster of COVID-19 cases among the Maya in Alameda County, California, most of whom were misclassified in public health data as nonindigenous Spanish-speaking people. We conducted a retrospective cohort study of all COVID-19 tests performed from April 1 through May 31, 2020, at Alameda Health System. A total of 1561 tests from 1533 patients were performed, with an overall test positivity rate of 17.0% (N = 265). We used the language field from the electronic health record to identify 29 patients as speaking an indigenous Mayan language; by medical record review, we identified 52 additional Maya patients. Maya patients had a test positivity rate of 72.8% as compared with 27.1% (P < .001) for nonindigenous Latinx patients and 8.2% (P < .001) for all other patients. In our sample, 39.6% of patients who had a positive test result for COVID-19 were hospitalized, 11.3% required admission to the intensive care unit (ICU), and 4.9% died of COVID-19. Maya patients had lower rates of hospitalization, ICU admission, and 30-day in-hospital mortality than non-Maya patients. We shared our data with the county health department to inform responses for education, testing, and isolation for Maya patients in Alameda County. Ongoing COVID-19 public health efforts should assess the community prevalence of COVID-19 in the Maya community and other indigenous communities and implement interventions that are linguistically and culturally appropriate.

Racial/ethnic disparities in COVID-19 disease burden & mortality among emergency department patients in a safety net health system.

BACKGROUND: We sought to examine racial and ethnic disparities in test positivity rate and mortality among emergency department (ED) patients tested for COVID-19 within an integrated public health system in Northern California. METHODS: In this retrospective study we analyzed data from patients seen at three EDs and tested for COVID-19 between April 6 through May 4, 2020. The primary outcome was the test positivity rate by race and ethnicity, and the secondary outcome was 30 day in-hospital mortality. We used multivariable logistic regression to examine associations with COVID-19 test positivity. RESULTS: There were 526 patients tested for COVID-19, of whom 95 (18.1%) tested positive. The mean age of patients tested was 54.2 years, 54.7% were male, and 76.1% had at least one medical comorbidity. Black patients accounted for 40.7% of those tested but 16.8% of the positive tests, and Latinx patients accounted for 26.4% of those tested but 58.9% of the positive tests. The test positivity rate among Latinx patients was 40.3% (56/139) compared with 10.1% (39/387) among non-Latinx patients (p < 0.001). Latinx ethnicity was associated with COVID-19 test positivity (adjusted odds ratio 9.6, 95% confidence interval: 3.5-26.0). Mortality among Black patients was higher than non-Black patients (18.7% vs 1.3%, p < 0.001). CONCLUSION: We report a significant disparity in COVID-19 adjusted test positivity rate and crude mortality rate among Latinx and Black patients, respectively. Results from ED-based testing can identify racial and ethnic disparities in COVID-19 testing, test positivity rates, and mortality associated with COVID-19 infection and can be used by health departments to inform policy.