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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 describe the impact that COVID-19 has had on geographically disparate populations in the United States and share our recommendations on what might be done to ameliorate the current situation.
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:
Blog
This blog post offers considerations for pediatric medical care teams and community partners to ensure more equitable COVID-19 vaccine distribution among children. These recommendations fall under four broad categories and draw from conversations with pediatric practices, family advisors, and core partners engaged in Accelerating Child Health Transformation, a national initiative led by the Center for Health Care Strategies with support from the Robert Wood Johnson Foundation.
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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Summary Report/Recommendations
This paper highlights several successful state initiatives that policymakers may consider adopting to improve routine HPV vaccination rates among adolescents and provide catch-up vaccinations to the estimated one million adolescents who are now behind due to challenges created by the pandemic.
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 study examined internet access and mode of access by social class, race, and ethnicity among youth in the U.S. to gain insight on whether these vulnerable populations experienced disparities in access and health education. The study found that low-income Black and Hispanic youth are least likely to have access to internet at home, meaning web-based dissemination of health information is not reaching this population.
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 is a retrospective cohort study that was used to inform COVID-19 infection prevention measures by identifying and assessing risk and possible vectors of infection in nursing homes (NHs) using a machine-learning approach. The strongest predictors of COVID-19 infection were identified as the county’s infection rate and the number of separate units in the NH; other predictors included the county’s population density, historical health deficiencies, and resident density. In addition, the NH’s historical percentage of non-Hispanic white residents was identified as a protective factor. The study concluded that a machine-learning model can help quantify and predict infection risk.