Understanding COVID-19 Health Disparities With Birth Country and Language Data.

INTRODUCTION: Understanding of COVID-19-related disparities in the U.S. is largely informed by traditional race/ethnicity categories that mask important social group differences. This analysis utilizes granular information on patients' country of birth and preferred language from a large health system to provide more nuanced insights into health disparities. METHODS: Data from patients seeking care from a large Midwestern health system between January 1, 2019 and July 31, 2021 and COVID-19-related events occurring from March 18, 2020 to July 31, 2021 were used to describe COVID-19 disparities. Statistics were performed between January 1, 2022 and March 15, 2023. Age-adjusted generalized linear models estimated RR across race/ethnicity, country of birth grouping, preferred language, and multiple stratified groups. RESULTS: The majority of the 1,114,895 patients were born in western advanced economies (58.6%). Those who were Hispanic/Latino, were born in Latin America and the Caribbean, and preferred Spanish language had highest RRs of infection and hospitalization. Black-identifying patients born in sub-Saharan African countries had a higher risk of infection than their western advanced economies counterparts. Subanalyses revealed elevated hospitalization and death risk for White-identifying patients from Eastern Europe and Central Asia and Asian-identifying patients from Southeast Asia and the Pacific. All non-English languages had a higher risk of all COVID-19 outcomes, most notably Hmong and languages from Burma/Myanmar. CONCLUSIONS: Stratifications by country of birth grouping and preferred language identified culturally distinct groups whose vulnerability to COVID-19 would have otherwise been masked by traditional racial/ethnic labels. Routine collection of these data is critical for identifying social groups at high risk and for informing linguistically and culturally relevant interventions.

Innovative Approaches to Improve COVID-19 Case Investigation and Contact Tracing Among Refugees, Immigrants, and Migrants: Lessons Learned from a Newly Established National Resource Center.

Effective COVID-19 case investigation and contact tracing (CICT) among refugee, immigrant, and migrant (RIM) communities requires innovative approaches to address linguistic, cultural and community specific preferences. The National Resource Center for Refugees, Immigrants, and Migrants (NRC-RIM) is a CDC-funded initiative to support state and local health departments with COVID-19 response among RIM communities, including CICT. This note from the field will describe NRC-RIM and initial outcomes and lessons learned, including the use of human-centered design to develop health messaging around COVID-19 CICT; training developed for case investigators, contact tracers, and other public health professionals working with RIM community members; and promising practices and other resources related to COVID-19 CICT among RIM communities that have been implemented by health departments, health systems, or community-based organizations.

Evaluation of Preferred Language and Timing of COVID-19 Vaccine Uptake and Disease Outcomes.

Importance: Beyond traditional race and ethnicity demographic characteristics, additional discrete data variables are needed for informed health interventions in the US. Objective: To examine whether COVID-19 vaccine uptake patterns and associated disease outcomes differ among language preference groups. Design, Setting, and Participants: A cohort study of 851 410 individuals aged 18 years or older in a large multispecialty health system in Minnesota and western Wisconsin was conducted between December 15, 2020, and March 31, 2022. Exposure: Self-identified language preference and limited English proficiency (LEP) as measured by interpreter need were used to create subgroups using US census categories and attention to capture languages known to represent refugee groups. Main Outcomes and Measures: The primary outcome was COVID-19 vaccination uptake rates and time to first vaccine. Secondary outcomes were rates of COVID-19-associated hospitalization and death. Results: Most of the 851 410 participants (women, 493 910 [58.0%]; median age, 29 [IQR, 35-64] years) were US-born English speakers; 7.5% were born in other countries, 4.0% had a language preference other than English (LPOE), and 3.0% indicated LEP as measured by interpreter need. Marked temporal clusters were observed for COVID-19 vaccination uptake, hospitalizations, and deaths associated with primary series vaccine eligibility, booster availability, and COVID-19 variants. Delayed first-dose vaccine was observed with LPOE (hazard ratio [HR], 0.83; 95% CI, 0.82-0.84) and interpreter need (HR, 0.81; 95% CI, 0.80-0.82) compared with those with English language preference and proficiency. Patients with LPOE were approximately twice as likely to be hospitalized (rate ratio [RR], 1.85; 95% CI, 1.63-2.08) or die (RR, 2.13; 95% CI, 1.65-2.69). Patients with LEP experienced even higher rates of hospitalization (RR, 1.98; 95% CI, 1.73-2.25) and COVID-19-associated death (RR, 2.32; 95% CI, 1.79-2.95). Outcomes varied for individual language preference groups. Conclusions and Relevance: In this study, delayed time to first-dose vaccine was associated with increased COVID-19 hospitalization and death rates for specific LPOE and LEP groups. The findings suggest that data collection of language preference and interpreter need provides actionable health intervention information. Standardized system-level data collection, including at a national level, may improve efficient identification of social groups with disproportionate health disparities and provide key information on improving health equity in the US.

Healthcare worker perspectives on COVID-19 vaccines: Implications for increasing vaccine acceptance among healthcare workers and patients.

OBJECTIVE: To understand COVID-19 vaccine perspectives among healthcare workers serving diverse communities. METHODS: A dual English/Spanish survey was distributed to healthcare workers in the United States from 3/12/2021-4/22/2021 by the Migrant Clinicians Network, Society of Refugee Healthcare Providers, a Federally Qualified Healthcare Center, and social media advertisement to general primary care workers. RESULTS: 517 responses were at least 50% complete and included in the analysis. Among these, 88% (457/517) indicated vaccine acceptance. Factors associated with acceptance included not reporting any vaccine concerns, identifying as male, ≥65 years of age, being a physician or advanced practice provider, and interacting directly with patients from refugee, immigrant, and migrant (RIM) communities. Participants identified educational information as most helpful for themselves when making a vaccine decision, but a healthcare provider's recommendation as most helpful for their patients. CONCLUSION: Healthcare workers, especially those serving RIM communities, are vaccine accepting. Tailoring vaccine-related information to healthcare workers may improve vaccine confidence for both themselves and patients who rely on them for information.

The Value and Interpretation of Race and Ethnicity Data in the Era of Global Migration: A Change Is in Order.

Human migration and travel are leading to increasingly diverse populations throughout the world. Data collection practices need to adapt to these changes to expand our understanding of health disparities and to optimize the efforts to address health equity, particularly during public health emergencies such as the current COVID-19 pandemic. Race and ethnicity classifications in the United States have failed to evolve since the 1970s despite an increasingly diverse population. Current commonly collected categories are inadequate to accurately describe the economic, educational, and sociopolitical circumstances of different groups. Further, these categories lend little practical information to inform health policy. More predictive and actionable variables should be routinely collected to improve appropriateness and timeliness of health interventions. The immediate adoption of the collection of primary/preferred language and country of birth/origin by public health organizations, health systems, and clinical providers would be a concrete and valuable first step.