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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
This study aimed to investigate whether COVID-19 is associated with adverse perinatal outcomes in a large national dataset and to examine the rates of adverse outcomes during the pandemic compared with the rates of adverse outcomes during the prepandemic period. This observational cohort study included 683,905 patients, between the ages of 12 and 50, hospitalized for childbirth and abortion between January 1, 2019, and May 31, 2021.
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
The authors sought to evaluate compliance with state-mandated third-trimester syphilis testing at a single tertiary hospital in Illinois and to identify disparities in testing. This is a retrospective cohort study of all pregnant individuals who delivered between January 1, 2015, and February 28, 2018, at a large-volume academic center. The study found that despite a decades-old state mandate for third-trimester syphilis screening in this high-prevalence region, third-trimester screening performance was suboptimal. Several demographic characteristics were associated with adherence to screening, suggesting inequity and bias exist in testing practices. It is important to acknowledge that legal statutes do not fully eliminate bias and health disparities.
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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Commentary
This articles discusses the need for policy that promotes equitable access to holistic support in pregnancy care to address racial disparities in maternal care. The authors outline recommendations to increase access to medical care and social support for pregnant patients, particularly for the most vulnerable.
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.
RELEASE DATE:
Peer Review Study
This review summarized existing data on racial disparities in maternal immunization for influenza in the U.S. and reviewed the literature on interventions to improve the uptake of the influenza vaccine among Black pregnant women. U.S. survey data on maternal influenza immunization by racial and ethnic group were summarized in narrative form. The study found that a decade of survey data show that Black women in the U.S. consistently have the lowest rate of influenza immunization in pregnancy. Black women report a lower rate of being recommended or offered the vaccine, and provider recommendation is associated with greater vaccine uptake. Intervention studies to increase influenza immunization among Black pregnant women have reported mixed results. Successful interventions include multicomponent practice-based interventions, group prenatal care, and culturally competent patient educational messages.
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 discusses the use of wastewater surveillance to indicate new levels of COVID-19 or other infection in congregate housing settings. The study sampled wastewater from a hospital and a wastewater treatment plant to detect levels of COVID-19 in the individuals residing in the hospital. The results were able to indicate levels of COVID-19 in the wastewater, but were unable to distinguish between new infection levels and residual viral shed from previously infected patients. This study shows the potential of wastewater management, and calls for the increased refinement of the process to more accurately monitor viral spread in vulnerable living situations.
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.
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.