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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.
RELEASE DATE:
Case Study, Peer Review Study
This article describes the rapid statewide COVID-19 vaccination strategy implemented by the North Carolina Department of Health and Human Services. The strategy focused on equitable distribution and reaching hard to reach populations, including racial and ethnic minority groups and rural communities.
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:
Peer Review Study
The article presents strategies of how Durham County Department of Public Health operationalized equity into multiple phases of its COVID-19 response through infrastructure changes and how to apply these methods to future public health emergencies to better serve vulnerable populations. This response relied upon robust data collection of demographic data to identify inequities. Infrastructure changes included standing up multiple COVID-19 Task Forces (Homeless, Community, Food Security, African American) and Strike Teams (Long-Term Care Facility, Clusters) targeting vulnerable populations; placing testing sites in targeted locations; collaborating with multisector and community partners for feedback; and providing Health Ambassadors for in-person dissemination of COVID-19 information. The paper reviews results from these interventions and lessons learned.
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.