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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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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 details a project to develop and assess a predictive model of vulnerability indicators of COVID-19 in Los Angeles County, California. Four public health indicators were used for ZIP code tabulation: (1) pre-existing health conditions, (2) barriers to accessing health care, (3) built environment risk, and (4) the Centers for Disease Control and Prevention’s Social Vulnerability Index. The results showed disparities for Black and Latinx populations across all four health indicators.
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 analyzed 30-day outcomes of COVID-19 patients surviving to discharge across a five-hospital health system.
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:
Peer Review Study
This study used machine learning to analyze electronic health records from an urban academic medical center and to investigate whether providers’ use of negative patient descriptors varied by patient race or ethnicity.
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.
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:
Peer Review Study
This study adapted the Lorenz curve methodology to characterize disparate outcomes in COVID-19 testing across time, regions, and ZIP codes for the St. Louis and Kansas City regions. The results showed that Black individuals have half the rate of testing per case than White populations, even among Black and White individuals residing in the same ZIP code. The study calls for equitable testing strategies and routine monitoring using formal metrics to inform adaptive testing strategies.
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.
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.