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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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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.
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:
Toolkit
This is the summary page containing the full guide to HEDA: Conducting a Health Equity Data Analysis: A Guide for Local Health Departments, Version 2. HEDA provides information on how to think about, collect, and analyze local data related to health equity. It provides a starting point for understanding how to document health inequities. This guide provides a detailed process for analyzing health inequities in a local jurisdiction. The guide describes how to use data to identify health differences between population groups, instead of only examining the population as a whole. The process includes steps to identify and examine the causes of population differences in health, and emphasizes the importance of working in partnership at every step with communities experiencing inequities.
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:
Toolkit
The purpose of the project is to offer clear concepts, methods, data, and programming code to improve monitoring of, as well as actions to address health inequities, accomplished by using geocoding to link area-based social metrics to public health data.
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
The report provides an overview of the context in which people receive healthcare services, including a summary of disease burden in the United States; number, distribution, and characteristics of hospitals and healthcare workers who deliver services; and distribution of healthcare expenditures.
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 case study describes the Colorado Department of Public Health and Environment’s (CDPHE) work to change the narrative and framing of population health data to emphasize the importance of structural inequities and social determinants of health. CDPHE is also working to incorporate equity metrics into program evaluations and performance monitoring and use boilerplate language regarding equity in CDPHE publications.
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 article provides a brief overview of a framework to incorporate data and community engagement into a targeted approach to promote equitable testing and treatment of COVID-19, and to address underlying social determinant of health risks that disproportionately burden racial minority communities.
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.
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.
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.
RELEASE DATE:
Summary Report/Recommendations
The Robert Wood Johnson Foundation established a National Commission to Transform Public Health Data Systems to reimagine how data are collected, shared, and used, and to identify the investments needed to improve health equity. Commissioners examined both the systems and the data needed to ensure public health information works for all. The commission offers recommendations for government at all levels — business, community-based organizations, philanthropy, and others — to take specific action to reimagine and modernize the public health data system. A series of white papers describe the current landscape, emerging innovations, and the opportunities for transforming and transitioning to a new public health data system.