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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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Summary Report/Recommendations
Using available COVID-19 case and vaccination data, the CDC compared three different methodologies for grouping race/ethnicity COVID-19 data. Two of these methodologies are focused on how to group race/ethnicity when fields are missing. The results show that methods that use race information when ethnicity is missing resulted in higher estimated COVID-19 cases, incidence, and vaccination coverage. However, more work must be done to improve upon these methods in order to create more equitable and reliable data.
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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White Paper/Brief
To help policymakers and other stakeholders identify opportunities to improve health equity in their states, SHADAC has produced a set of data resources for the 50 states and the District of Columbia. Using the Behavioral Risk Factor Surveillance System (BRFSS) Survey — combining the three most recent years of data (2018–2020) to improve our ability to develop reliable state-level estimates for smaller population subgroups — SHADAC created maps and charts showing how states compare to the U.S. average in measures of people’s self-reported physical and mental health, and how people’s physical and mental health varies depending on their race and ethnicity, level of income, and age within each state.
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.
RELEASE DATE:
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.
RELEASE DATE:
Summary Report/Recommendations
In this report, the authors evaluate health equity across race and ethnicity, both within and between states, to illuminate how state health systems perform for Black, White, Latinx/Hispanic, American Indian/Alaska Native, and Asian American, Native Hawaiian, and Pacific Islander populations.
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:
White Paper/Brief
This paper serves as a foundational look into how structural racism and social determinants of health impact communities of color — particularly Black and Latino communities — in Massachusetts. This document uses local Massachusetts and national data sources to examine multiple factors for health inequities among racial minorities within the state. The primer covers demographic profiles, social drivers of health, access to coverage and care, service utilization, health outcomes, and the disparate impact of COVID-19 with infographics across multiple areas of health.