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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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Implementation Guide
Data Across Sectors for Health (DASH) is a national initiative funded by the Robert Wood Johnson Foundation and co-led by the Michigan Public Health Institute and the Illinois Public Health Institute. Created in 2015, DASH promotes and supports multisector data-sharing ecosystems with the goal of fostering more equitable, informed decision-making practices and ultimately improving community health outcomes. They provide financial support, technical assistance, resources, and programming to help foster community collaborations around data-sharing. Their website features information on their two active funding programs, a link to the DASH data-sharing framework and accompanying webinars, as well as information about their knowledge-sharing platform, DASH Knowledge Base, that is still in development. DASH is a great resource for organizations and community leaders seeking guidance on how to foster relationships and enhance data sharing capabilities between governments, community-based organizations, and other local players.
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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Toolkit
The Health Equity Assessment Toolkit (HEAT) is a software application that facilitates the assessment of within-country health inequalities. It was developed for use on desktop or laptop computers and mobile devices. Explore inequality, which enables users to explore the situation in one setting of interest (e.g. a country, province or district) to determine the latest situation of inequality and the change in inequalities over time. Compare inequality, which enables users to benchmark, i.e. compare the situation in one setting of interest with the situation in other settings.
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.