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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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Peer Review Study
Filipinx/a/o Americans (FilAMS), are the third-largest Asian American group in the US. They are frequently invisible in health services research and policy, and consequently, are an afterthought in resource allocation decisions. This paper highlights historical and modern practices that impinge on FilAm health. FilAms, who experience long standing health disparities, are heavily engaged in front line health care work, but also have pre-existing health conditions and are likely to live in multigenerational household, both factors that contribute to the burden of COVID-19. Mental health concerns, elevated among front-line and essential workers during the pandemic, were compounded by anti-Asian racism and violence. The authors encourage strategies such as naming neocolonial forces that devalue and neglect FilAms, and making changes to the data collection infrastructure to facilitate the allocation of appropriate resources. Recommendations: investments that prioritize community needs, equitable resource sharing, community-led efforts, and empower communities through capacity building and interdisciplinary research.
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.
RELEASE DATE:
Peer Review Study
The article presents strategies of how Durham County Department of Public Health operationalized equity into multiple phases of its COVID-19 response through infrastructure changes and how to apply these methods to future public health emergencies to better serve vulnerable populations. This response relied upon robust data collection of demographic data to identify inequities. Infrastructure changes included standing up multiple COVID-19 Task Forces (Homeless, Community, Food Security, African American) and Strike Teams (Long-Term Care Facility, Clusters) targeting vulnerable populations; placing testing sites in targeted locations; collaborating with multisector and community partners for feedback; and providing Health Ambassadors for in-person dissemination of COVID-19 information. The paper reviews results from these interventions and lessons learned.
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
This report uses preliminary data on COVID-19 mortality rates among Asian Minnesotans. It draws attention to the disproportionate COVID-19 mortality rates among Hmong, Karen, and Karenni residents to demonstrate the critical importance of data disaggregation.
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.
RELEASE DATE:
Peer Review Study
This study details a national, state-level analysis of COVID-19 infection and mortality disparities between ethnic and racial subgroups using data from the COVID Tracking Project. Results found significantly higher rates of COVID-19 infections among Hispanic and African American populations. A choropleth map of disparities in the United States was produced as part of the study.
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 report highlights how disaggregating Native Hawaiian, Pacific Islander, and Asian race data can aid in identifying racial disparities among specific subpopulations, and highlights the importance of partnering with communities to develop culturally responsive outreach teams, and tailored public health interventions, and vaccination campaigns to more effectively address health disparities.
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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Commentary
This article provides an overview of the link between racism and COVID-19 disparities, missing race and ethnicity data, and literature on demographic data gaps. The authors also provide recommendations on how health departments and healthcare systems can engage communities of color to co-develop race and ethnicity data collection processes.