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Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Other
This episode from the podcast 99 Percent Invisible reflects on how the COVID-19 pandemic exposed the American public to a long-standing problem: the disjointed nature of the U.S. health system. Because state and local health departments largely operate independently and use their own data collection and analysis tools, health systems across the country lack standardized data definitions and systems. These inconsistencies made it nearly impossible to collect and analyze comprehensive, standardized data on COVID-19 cases, deaths, and vaccines administered amid the pandemic. Health experts featured on this episode believe that the pandemic made the need for an overhaul of America’s informatics system very apparent. When rebuilding this system, it’s important to focus on remedying existing inequalities in data collection and classification that in some cases render the health status of certain populations – think Native American communities and other communities of color – completely invisible in the data. By virtue of being small populations, it can be difficult for health departments to collect sufficient and/or statistically significant data on minority communities. Another issue discussed in this episode is the use of broad racial categories like “other,” “multiple races,” or even “Asian American,” which, if not disaggregated, obscures the health status of diverse populations who are grouped under the same category. Without comprehensive and inclusive health data, it’s difficult to identify disparities and implement policies and programming that promote social mobility and health equity.
Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
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Systematic Review/Meta-Analysis
This review of state data collection and reporting practices during the COVID-19 pandemic found inconsistencies and gaps in data collected by race and ethnicity. Improved standardization across the U.S.–which may come in the form of a federally-operated centralized database–would address some of the concerns in data representation of all Americans.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Peer Review Study
This study assessed vaccine hesitancy in the United States by looking at Census Bureau’s Household Pulse Survey data. The study looked at race and ethnicity for individuals who have received at least one COVID-19 vaccine dose by June 2021, but also looked at other socioeconomic factors such as access to healthy food, insurance status, and state-level political differences. The results found that while initial race/ethnicity analyses shows Black adults are more likely to not get vaccinated for COVID-19 than White adults, once other social factors were included, these differences were no longer significant. Additionally, insurance status and food insufficiency were not seen as significantly associated with vaccination hesitancy, but political differences does create an impact in overall state vaccination rates.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Peer Review Study
This article examines a cohort study of children in England to determine a possible association between COVID-19 testing rates, COVID-19 mortality rates, and race. Results found that Asian and Black children experienced race-specific disparities when compared to white children, with white children receiving more COVID-19 testing, but Black and Asian children experiencing worse outcomes, including hospitalization, ICU admission, and death.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Peer Review Study
This study looks at the perceptions, challenges, barriers, and experiences of undocumented immigrants in the U.S. The study used a snowball sampling of 20 undocumented Asian and Latinx men and women and asked them a series of questions about access to health care and their experience during the COVID-19 pandemic. The results found significant barriers in language comprehension, mistrust of public systems, and socioeconomic factors such as employers with little to no sick leave for those affected by COVID-19.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Peer Review Study
This study looks at survey data from the 2020 U.S. Household Pulse Survey to estimate the associations between state-specific mobility restrictions and well-being across historically excluded groups, including those groups at the intersections of race/ethnicity, sex, and income categorizations. Results found that low-income and African American populations are most likely to be affected by lockdown restrictions, including unemployment, food insufficiency, mental health problems, inaccessibility of medical care, rent or mortgage defaults, and class cancellations.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
RELEASE DATE:
Peer Review Study
This systematic review examines COVID-19 literature on the association of race and ethnicity with COVID-19 outcomes. It also examines the association between race, ethnicity, COVID-19 outcomes, and socioeconomic determinants. Within these studies, it is shown that African American and Hispanic individuals are most likely to test positive, while Asian Americans have the highest risk for ICU admission and mortality rates run higher in Hispanic and Asian Americans. These results demonstrate health disparities for minority groups across various factors. Socioeconomic factors additionally are associated with worse COVID-19 outcomes.
Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
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Summary Report/Recommendations
This study uses data from the COVID Tracking Project’s Racial Data Tracker, which aggregates state-level COVID-19 reporting and tracking databases to determine racial/ethnic trends of COVID-19 incidence and evaluate the racial/ethnic distribution of COVID-19 related mortality in the US. Results found that disparities are more apparent at the county and city level, and discusses the importance of transparent, local data in order to allow for greater precision in resource allocation and effective policy changes aimed at reducing disparities. The study includes choropleth maps of the results by state.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Data Collection Tool
The COVID Racial Data Tracker is a collaboration between the COVID Tracking Project and the Boston University Center for Antiracist Research. The tracker is a collection of race and ethnicity data on COVID-19 in the United States.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
RELEASE DATE:
Peer Review Study
This study analyzes mortality death rates in the state of Connecticut to determine the number of excess non-COVID-19 deaths for Black and Latino residents, as compared to White residents. The results demonstrate an excess in deaths in both Black and Latino communities.