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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 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.
RELEASE DATE:
Toolkit
The COVID-19 U.S. State Policy (CUSP) database documents the dates all 50 states and the District of Columbia implemented health and social policies to respond to the COVID-19 pandemic and its economic ramifications. CUSP is designed to be a tool for researchers, policymakers, the media, and the public to better understand how policies impact population health and health equity. The CUSP team tracks when and how states implemented over 200 policies during the COVID-19 pandemic and includes original source documentation.
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 tool is designed to support people in recognizing decision points in research and in choosing health equity – whatever and whenever their role may be in this cycle. By posing concrete questions to consider, and providing recommendations and resources for stakeholders to apply, the authors hope to encourage and support people in building a Health Equity Virtuous Cycle that continuously reinforces strategies to identify the drivers of inequities and develop solutions to dismantle them.
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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White Paper/Brief
This article discusses how to help people understand the full meaning of data about the distribution of COVID-19 and that we must connect the context to the statistics every time we mention them. The article provides examples of statements that bring the landscape into view and tips focused on communicating about data.
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:
White Paper/Brief
The Massachusetts Department of Public Health (MDPH) initiated a quality improvement project to improve use of data for action to promote racial equity. To address the challenges identified in the study, the team identified potential solutions and prioritized development and piloting of the MDPH Racial Equity Data Road Map (Road Map). The Road Map framework provides strategies for data collection and uses that to support the direction of actionable data-driven resources to racial inequities. The Road Map is a resource to support programs to authentically engage communities; frame data in the broader contexts that impact health; and design solutions that address root causes.
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:
White Paper/Brief
The article explored the implications of the COVID-19 pandemic on public health surveillance systems and survey data collection in the United States and outlines several studies with recommendations.
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:
White Paper/Brief
The article discusses the California Health Interview Survey (CHIS) redesign and stakeholder engagement in 2020. It describes data collection and data release adaptations CHIS made in response to the COVID-19 pandemic, considers the implications of these changes on data quality, and discusses future implications on data collection for population-based surveys such as the CHIS. The two principal objectives are strongly aligned with the policy data demands of understanding the unequal toll of the pandemic on California counties and on racial and ethnic groups.
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:
White Paper/Brief
This article reviews the variations in surveillance practices among public health agencies, which analyze and present newly confirmed cases by a wide variety of dates. It concludes that standardization could improve public comprehension, policymaking, and outbreak response.
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:
White Paper/Brief
This study discusses the creation of a dataset that tracked COVID-19 cases and deaths by municipalities in New Jersey from April 22, 2020, to December 31, 2020. Data were drawn primarily from official county and municipality websites. Municipality-level data are essential for advancing more targeted and nuanced understanding of geographic-based risk and resilience associated with COVID-19.
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:
White Paper/Brief
The paper outlines the work of the Gender Harmony Project, which has developed a gender-inclusive Health Level Seven International (HL7) logical model: the HL7 Gender Harmony Model. The Gender Harmony Model is a logical model that provides a standardized approach that is both backwards-compatible and an improvement to the meaningful capture of gender identity, recorded sex or recorded gender, sex for clinical use, the name to use, and pronouns that are affirmative and inclusive of gender-marginalized people. The Gender Harmony Project was formed to create more inclusive health information exchange standards to enable a safer, higher-quality, and embracing healthcare experience. The Gender Harmony Model provides the informative guidance for standards for developers to implement a more thorough technical design that improves the narrow binary design used in many legacy clinical systems.