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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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White Paper/Brief
An early report issued by the CDC identified staff members working in multiple nursing homes as a likely source of spread of COVID-19. The authors performed the first large-scale analysis of nursing home connections via shared staff and contractors. Using a large-scale analysis of smartphone location data, they found that 49 percent of COVID-19 cases among nursing home residents was attributable to staff movement between facilities. Traditional federal regulatory metrics of nursing home quality were unimportant in predicting outbreaks. The results provide evidence for a policy recommendation of compensating nursing home workers to work at only one home and limit cross-traffic across homes.
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
Recent national surveys of young people have shown alarming increases in the prevalence of certain mental health challenges. We know that mental health is shaped by many factors, from our genes and brain chemistry to our relationships with family and friends, neighborhood conditions, and larger social forces and policies. As we learn the lessons of the COVID-19 pandemic, and start recovering and rebuilding, we have an opportunity. Everyone has a role to play in combating this mental health pandemic. Ensuring healthy children and families will take an all-of-society effort, including policy, institutional, and individual changes. This advisory provides actionable recommendations for young people and their families, schools and health care systems, tech and media companies, employers, community organizations and governments alike. Mental health challenges are treatable and often preventable. This advisory shows how.
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
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.