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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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Summary Report/Recommendations
To begin bridging the gap in knowledge about COVID-19 risk among sexual minority adults, the Centers for Disease Control and Prevention examined disparities between sexual minority and heterosexual adults in the prevalence of underlying conditions with strong or mixed evidence of associations with severe COVID-19-related illness, by using data from the 2017–2019 Behavioral Risk Factor Surveillance System (BRFSS). Collecting data on sexual orientation in COVID-19 surveillance and other studies would improve knowledge about disparities in infection and adverse outcomes by sexual orientation, thereby informing more equitable responses to the pandemic.
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.
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
The authors investigated data sources to determine whether short-term jailing of individuals prior to release may drive COVID-19 spread.
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
This study used machine learning to analyze electronic health records from an urban academic medical center and to investigate whether providers’ use of negative patient descriptors varied by patient race or ethnicity.
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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Toolkit
The Community Information Exchange (CIE) Data Equity Framework’s goal is to build data systems to help institutions, and the communities they serve, approach CIE® planning and systems change work from a place of anti-racism by: (1) naming how data system design reflects understanding of and participation by the intended beneficiaries of current programs and interventions; (2) acknowledging and documenting the effects of a spectrum of data system design types on oppressed populations and communities; (3) identifying strategies needed to eliminate the harm of current processes and practices; (4) highlighting the behavior change needed to rebuild or change the overall data system to better meet community needs across racial and ethnic populations; and (5) adopting practices that promote restorative justice and mitigate harm and exploitation.
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 article details the adaptation of the 2020 Community Health Survey by the New York City Department of Health and Mental Hygiene in order to capture the impact of COVID-19 on physical health, mental health, and social determinants of health. It explains how the survey questions were adapted, how collection of survey data was adapted, and how a serosurvey was implemented. Two new polls were added, Healthy NYC and 7 Health Opinion Poll, to learn about COVID-19 related opinions, attitudes, and knowledge.
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
Using jail population data, county-level aggregate data, and policy intervention data, this study examines the association of jail decarceration and anticontagion policies with COVID-19 rates. This study adds a unique contribution to the discussion of incarceration and disease spreading, as it is the first to examine the effects of decarceration on population-level community health outcomes. The authors compare anticontagion policies within jails throughout the United States to other community policy interventions such as stay-at-home orders, nursing home visitation bans, school closures, and mask mandates. Additionally, the study analyzes four demographic subsets including income, population density, and median proportion of populations identifying as Black. The results showed that an 80% reduction in jail incarcerations would decrease disease spreading in both the prison system and the community, and was more effective than any other community policy intervention.
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 article outlines a framework for data collection among communities of color based on a project by local organizations in Canada. The authors also discuss their encounter with data gaps and provide recommendations and strategies for policymakers and community/health stakeholders on how to improve, use, and analyze disaggregated data. As part of the Strengthening Disaggregated Sociodemographic Data Related to COVID-19 project with the Ottawa Local Immigration Partnership (OLIP) and the University of Ottawa, a framework for guiding equitable data collection and use was created.