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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.
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 resource discusses the results of the 2020 COVID-19 Resiliency Survey, which was conducted in Chicago, Illinois to gauge the impact of COVID-19 on the city during their first wave of cases. Specific focus is given to the experiences of minority groups, both racial/ethnic and sexual/gender minorities. The results show that these marginalized groups – specifically Black, Latinx, sexual minority and gender minority groups – experience more disparities in COVID-19 exposure, susceptibility, treatment access, and psychosocial effects from the pandemic. The resource offers solutions to reducing these disparities.
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.
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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Summary Report/Recommendations
This article presents recommendations for planning and implementing high-quality sexual orientation and gender identity data collection in primary care settings in order to address disparities and care for people within this minority 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 seeks to examine the impact of incarceration on the health of sexual and gender minority populations using publicly accessible, representative health datasets from 2010 to 2020. The study reveals a lack of diverse gender minority data that could address how this population is impacted on large levels.
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 utilized an online survey to gain insight into perceptions of COVID-19 testing, vaccinations, and symptoms. The results found disparities in vaccination and prevention interest amongst LGBT individuals, specifically Black and Latino communities, in specific categories.
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:
White Paper/Brief
The paper outlines the work of the Gender Harmony Project, which has developed a gender-inclusive Health Level Seven International (HL7) logical model: the HL7 Gender Harmony Model. The Gender Harmony Model is a logical model that provides a standardized approach that is both backwards-compatible and an improvement to the meaningful capture of gender identity, recorded sex or recorded gender, sex for clinical use, the name to use, and pronouns that are affirmative and inclusive of gender-marginalized people. The Gender Harmony Project was formed to create more inclusive health information exchange standards to enable a safer, higher-quality, and embracing healthcare experience. The Gender Harmony Model provides the informative guidance for standards for developers to implement a more thorough technical design that improves the narrow binary design used in many legacy clinical systems.
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.