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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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Case Study
This case study describes how the Virginia Equity Leadership Task Force (ELT) uses data to drive allocation of resources. ELT used a data-driven approach to learn where they should allocate resources to make a maximum impact, with a specific focus on marginalized and underserved populations who are at greatest risk of severe disease from COVID-19. They profiled neighborhoods by equity factors including income, race and ethnicity, comorbidities, crowded housing, and preferred language, and then distributed personal protective equipment with priority given to more vulnerable populations. They used similar analyses of social determinants of health; up-to-date COVID-19 vaccination status; and data on cases, hospitalizations, and deaths to determine where to place vaccine centers and hold mass vaccination events.
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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Toolkit
The PhenX Social Determinants of Health (SDOH) Assessments Collection, now available in the PhenX Toolkit, contains protocols to help measure upstream factors that shape behaviors and health outcomes. The PhenX Toolkit provides recommended standard data collection protocols for conducting biomedical research. The protocols are selected by working groups of domain experts using a consensus process, which includes the scientific community. The toolkit provides detailed protocols for collecting data and tools to help investigators incorporate these protocols into their studies. Using protocols from the PhenX Toolkit facilitates cross-study analysis, potentially increasing the scientific impact of individual studies.
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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Toolkit
This data dashboard provides a map that details which states are reporting race and ethnicity in their case, mortality, testing, and vaccination data, and includes a state action chart that provides information on how states plan to focus on equity beyond the COVID-19 pandemic.
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 toolkit describes positive and problematic practices for centering racial equity across the six stages of the data life cycle: (1) data collection, (2) data access, (3) use of algorithms and statistical tools, (4) data analysis, and (5) reporting and dissemination.
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.
RELEASE DATE:
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.