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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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Case Study
The Oregon county with the first confirmed COVID-19 case in the United States began its response in the earliest days of the pandemic. The county’s Emergency Operations Center wanted to center equity in its response and did so by rapidly creating new positions on the team: an Equity Officer, an Equity Technical Advisor, and a Language Access Coordinator. It also established an Equity Team within the center. This allowed responses to quickly identify and respond to population needs, especially those in communities of color experiencing disproportionate impacts of disease spread and burden.
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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Case Study
The NYC Department of Health and Mental Hygiene partnered with 45 businesses or faith-based organizations in the Northeast Bronx to increase COVID-19 and flu vaccine knowledge and uptake in predominantly Black and Hispanic areas. The program disseminated health information through trusted community leaders to address vaccine hesitancy. ZIP codes with higher involvement in the program showed greater increases in vaccination rates.
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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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.
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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Case Study, Peer Review Study
Practice involves using “get out the vote” (GOTV) outreach strategies, conventionally used in political campaigns, along with mobile pop-up vaccine clinics, to encourage vaccination among marginalized communities.
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 study compares data from the NYC coronavirus data repository with 2018 American Community Survey 5-year census estimates to examine the distribution of testing sites across New York City by race in May 2020. During this time, the results found that testing sites for primarily Black and Latinx communities increased, but primarily White areas still had the highest number of testing sites. The study team created ZIP-code level maps showing testing site distribution using ArcGIS as a part of this study.
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 objectives of this study are to compare intention to receive COVID-19 vaccination by race/ethnicity, to identify perceptional factors that may mediate the association between race-ethnicity and intention to receive the vaccine, and to identify the demographic and perceptional factors most strongly predictive of intention to receive a vaccine. Participants were sent an electronic survey about COVID-19 vaccination with Research Electronic Data Capture Software (REDCap). In the TrackCOVID cohort, surveys were provided in Spanish and Chinese languages for respondents with limited English proficiency.
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
This article describes a stakeholder approach for implementing, evaluating, and sharing lessons learned from COVID-19 Conversations, a program developed and delivered virtually by researchers and academics at Northwell Health in Manhasset, NY. The program’s goal was to address the mental, physical, and psychosocial needs of community members. The program used Zoom/ Facebook Live to deliver 15- interactive discussions on topics ranging from health education on COVID-19 and mental health to resources for unmet social needs. Priority areas for discussion were based on responses from surveys distributed through their community networks. A total of 151 individuals completed the survey and identified priority areas for discussion. This interprofessional, cross-sector collaboration highlights the importance of public health interventions to reduce the spread of COVID-19 through easy online access and culturally relevant community education and outreach.
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.
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
Using patient record data from the New York University Langone Health System, this study examines outcomes from individuals who tested positive for COVID-19 in New York City from March 1 through April 8, 2020, to examine differences in outcomes based on age, sex, body mass index, comorbidity, insurance type, and neighborhood socioeconomic status. The results indicated that while Black and Hispanic communities were experiencing larger mortality rates in the general population, the study did not find that Black and Hispanic individuals are experiencing worse COVID-19 outcomes, including mortality when hospitalized, as compared to hospitalized patients who are white. This study supports the idea that existing social determinants of health, such as access to housing, access to health care, differential employment outcomes, and poverty can impact mortality rates for Black and Hispanic communities.
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.