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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
This study looks at a COVID-19 outbreak among a multi-residential home for adults with intellectual and developmental disabilities in Arizona to determine how COVID-19 was spread. Epidemiologic and genomic evidence show that spread likely occurred from asymptomatically infected staff. This study demonstrates the need for public health measures and rapid genomic analysis to shape policies that protect these vulnerable populations.
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 details a year-long, longitudinal cohort study of individuals with schizophrenia to examine COVID-19 hospitalization, mortality, vaccination, and postvaccination infection rates. Results show that individuals with schizophrenia are at an increased risk of hospitalization and mortality and have lower rates of vaccination than the general population. Medical comorbidities also play a significant role in worsening outcomes and mortality for this sub-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 study looks at survey data from the 2020 U.S. Household Pulse Survey to estimate the associations between state-specific mobility restrictions and well-being across historically excluded groups, including those groups at the intersections of race/ethnicity, sex, and income categorizations. Results found that low-income and African American populations are most likely to be affected by lockdown restrictions, including unemployment, food insufficiency, mental health problems, inaccessibility of medical care, rent or mortgage defaults, and class cancellations.
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 describes the survey results of 33 Black adolescents (ages 12-17) living in Southeastern United States during the COVID-19 pandemic. The survey illustrates stressors and barriers for these teenagers, citing financial issues, access to health care, and increased mental health strain as key issues during the pandemic. These answers could provide context for addressing issues within this population.
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 looks at COVID-19 ICU admission, hospitalization, and mortality rates for patients with schizophrenia in France. From February to June 2020, the study team analyzed patient data and compared those experiencing schizophrenia to those without severe mental illness. Results showed that those with schizophrenia are more likely to be admitted to the ICU and hospital and, ultimately, have an increased mortality rate than their control group. This disparity is more prevalent with age, as people older than 65 have a significantly higher rate of mortality.
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 conducted a cross-sectional study of 351 Massachusetts cities and towns from January 1-May 6, 2020, to understand what demographic, economic, and occupational factors are affecting COVID-19 incidence rates. Results found that non-Latino Black and Latino populations are at most risk of contracting COVID-19. Addressing factors like healthcare access for foreign-born non-citizens, crowded housing, and the protection of food service workers may help mitigate spread among minority populations.
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.
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.