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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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Summary Report/Recommendations
This article seeks to assess COVID-19 case and mortality rates in non-Hispanic American Indian and Alaska Natives (AI/AN) through an analysis of laboratory-reported COVID-19 data from January 22-July 3, 2020, for 23 U.S. states. The results show that AI/AN individuals are 3.5 times more likely to contract COVID-19 than White individuals, and more accurate race/ethnicity data must be reported by all states to more accurately represent this population.
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.
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
Rapid data collection grounded in a community power-building approach produced data that directly informed state policy and an increased power base. This approach enables direct connection to immediate “downstream” needs in communities while simultaneously building collective systemic “upstream” analysis and capacity of community members and laying pathways to translation and implementation of research into policy.
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 conducted a cross-sectional study of 351 Massachusetts cities and towns from January 1-May 6, 2020, to understand what demographic, economic, and occupational factors are affecting COVID-19 incidence rates. Results found that non-Latino Black and Latino populations are at most risk of contracting COVID-19. Addressing factors like healthcare access for foreign-born non-citizens, crowded housing, and the protection of food service workers may help mitigate spread among minority populations.
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
This special edition data tool provides important information related to the COVID-19 pandemic, such as data regarding where populations vulnerable to the COVID-19 pandemic reside, where the cases are surging, and which communities will require greater hospital capacity for severe COVID-19. The data can be used for data collection and analysis.
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 Mapping Medicare Disparities (MMD) Population View provides a user-friendly way to explore and better understand disparities in chronic diseases, and allows users to: (1) visualize health outcome measures at a national, state, or county level; (2) explore health outcome measures by age, sex, race and ethnicity; (3) compare differences between two geographic locations (e.g., benchmark against the national average); and (4) compare differences between two racial and ethnic groups within the same geographic area.
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
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.