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Established Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by previous studies that are consistent with the objectives of the activities.
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Peer Review Study
This study assessed differences in COVID-19 cases and mortality rates in traditional nursing homes and Green Houses. Green Houses are smaller, more intimate residential living environments that promote personalized care and more tight-knit communities of residents and care givers. Using CMS data, researchers found that, adjusting for age, gender, and disability status, small and large nursing homes had higher COVID-19 cases and mortality rates compared to Green Houses.
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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White Paper/Brief
This brief lists interventions to support state public health efforts to address rural disparities and racial discrimination. It emphasizes the importance of localized data on social determinants of health and improving systemic and structural underpinnings of racial disparities. Suggested interventions address data collection and workforce issues, including representativeness and paid family leave.
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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Peer Review Study
This is an assessment of the association between hospitalization for illness from COVID-19 infection and chronic conditions among Medicare beneficiaries (MBs) with fee-for-service (FFS) claims by race and ethnicity for January 1–September 30, 2020. Racial/ethnic disparities in hospitalization rates persist among MBs with COVID-19, and associations of COVID-19 hospitalization with chronic conditions differ among racial/ethnic groups in the U.S.
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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Commentary
This story is part of a series, “Race Matters.” It highlights the problems with inconsistent data collection and reporting for Native Hawaiians and Pacific Islanders. Native Hawaiians and Pacific Islanders are often grouped with Asians or not tracked at all.
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.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Peer Review Study
The UN warned that the pandemic would disproportionately impact Indigenous people because of underlying health inequities associated with SDOH. This paper can help with “visioning” action for response and recovery. It highlights data, in Hawaii, and 4 other western States, showing that MHPI have high rates of COVID-19. Reliable and timely data are vital (longstanding issues). The higher risk of infection among NHPI is linked to preexisting health inequities. Chronic medical conditions, linked to the SDOH, are high. The paper highlights the economic conditions of the NHPI population, and emerging behavioral health impact of COVID-19. It also mentions the resilience and cultural assets of NHPI Communities, including the values and practices of aloha (compassion), malama (caring) and lokahi (unity). Recommendations: an emergency response plan developed through engagement with NNHPI stakeholders, and a longer term recovery plan to address employment, education, the racial wealth gap, food insecurity, housing, healthcare, criminal justice, and legal issues.
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
AAPI Data is a publisher of demographic data and policy research on Asian Americans and Pacific Islanders.
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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Data Collection Tool
The National Equity Atlas is a first-of-its-kind web resource for data to track, measure, and make the case for inclusive growth. The Atlas provides deeply disaggregated, longitudinal data on demographic change, racial and economic inclusion, and the economic benefits of equity for the largest 100 cities, largest 150 regions, all 50 states, and the United States. The data can be used for data collection and analysis.