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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
The authors evaluated how COVID-19 demographic data was collected by health departments in all 50 states and Washington D.C. before and after the Equitable Data Collection and Disclosure on COVID-19 Act was passed.
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
The article highlights quantitative bias analysis as a method for improving racial and ethnic COVID-19 disparity estimates when data are missing.
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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Commentary
This article provides an overview of the link between racism and COVID-19 disparities, missing race and ethnicity data, and literature on demographic data gaps. The authors also provide recommendations on how health departments and healthcare systems can engage communities of color to co-develop race and ethnicity data collection processes.
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.
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 paper serves as a foundational look into how structural racism and social determinants of health impact communities of color — particularly Black and Latino communities — in Massachusetts. This document uses local Massachusetts and national data sources to examine multiple factors for health inequities among racial minorities within the state. The primer covers demographic profiles, social drivers of health, access to coverage and care, service utilization, health outcomes, and the disparate impact of COVID-19 with infographics across multiple areas of health.
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 explores how the relationships between vaccine site density, vaccination rates, and social vulnerability are connected across metropolitan and non-metropolitan areas in the U.S. The study uses CDC Social Vulnerability Index data combined with vaccination site density data to examine how vaccination site placement can benefit highly vulnerable populations. The results determined that while areas with higher socioeconomic vulnerability contain a large density of vaccination sites, this does not affect the low vaccination rates found in these communities. Other methods besides vaccination site placement must be considered to overcome these barriers in vaccination rates.
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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Summary Report/Recommendations
This article shows efforts of six grant-funded regional partners to create a usable public health analytic system to address health inequities among COVID-19 positive cases on an individual patient level. The article highlights the many challenges of this Multistate Data Strategy, including lack of standardization across data sources, missing data fields, and different state-level reporting requirements. However, the ability to produce this analytic system in real time, including a standardized COVID-19 data dictionary, demonstrates the necessity for healthcare administrators to utilize deidentified patient-level data in order to provide better care for state residents, particularly in disadvantaged communities.