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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.