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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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Other
This episode from the podcast 99 Percent Invisible reflects on how the COVID-19 pandemic exposed the American public to a long-standing problem: the disjointed nature of the U.S. health system. Because state and local health departments largely operate independently and use their own data collection and analysis tools, health systems across the country lack standardized data definitions and systems. These inconsistencies made it nearly impossible to collect and analyze comprehensive, standardized data on COVID-19 cases, deaths, and vaccines administered amid the pandemic. Health experts featured on this episode believe that the pandemic made the need for an overhaul of America’s informatics system very apparent. When rebuilding this system, it’s important to focus on remedying existing inequalities in data collection and classification that in some cases render the health status of certain populations – think Native American communities and other communities of color – completely invisible in the data. By virtue of being small populations, it can be difficult for health departments to collect sufficient and/or statistically significant data on minority communities. Another issue discussed in this episode is the use of broad racial categories like “other,” “multiple races,” or even “Asian American,” which, if not disaggregated, obscures the health status of diverse populations who are grouped under the same category. Without comprehensive and inclusive health data, it’s difficult to identify disparities and implement policies and programming that promote social mobility and health equity.
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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Systematic Review/Meta-Analysis
This review of state data collection and reporting practices during the COVID-19 pandemic found inconsistencies and gaps in data collected by race and ethnicity. Improved standardization across the U.S.–which may come in the form of a federally-operated centralized database–would address some of the concerns in data representation of all Americans.
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 seeks to assess COVID-19 case and mortality rates in non-Hispanic American Indian and Alaska Natives (AI/AN) through an analysis of laboratory-reported COVID-19 data from January 22-July 3, 2020, for 23 U.S. states. The results show that AI/AN individuals are 3.5 times more likely to contract COVID-19 than White individuals, and more accurate race/ethnicity data must be reported by all states to more accurately represent 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.
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Peer Review Study
This article presents a systematic review and meta-analysis aimed to estimate the influence of the COVID-19 pandemic on the prevalence of postpartum depression and to summarize risk factors for postpartum depression during the COVID-19 pandemic. A total of eight studies during the COVID-19 pandemic were included, and most studies were conducted in developed countries. The research findings indicated that the COVID-19 pandemic could detrimentally impact maternal mental well-being among women after childbirth. Investigating the prevalence and risk factors of postpartum depression among women could shed some light on their mental and emotional states; so that support measures and tailored interventions from health professionals and policymakers could be offered to improve maternal and infant outcomes, especially during the COVID-19 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.
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Peer Review Study
This article summarizes the findings from a systematic review of the safety, immunogenicity, and effectiveness of COVID-19 vaccines in pregnancy and lactation. In total, 23 studies were identified. The systematic review found that COVID-19 vaccines are safe, immunogenic, and effective during pregnancy and lactation.
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 article discusses the findings from a systematic review and meta-analysis of observational studies on pregnant women with confirmed COVID-19 infections. More than 31,000 pregnant women from 62 studies were included.
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 highlights the geographic differences in COVID-19 positivity rates within Los Angeles county, taking into consideration other socio-structural determinants that impact these rates. The data — testing data from the LAC Department of Public Health and American Community Survey data — was analyzed and mapped to include testing rates, race/ethnicity, poverty, insurance status, education, and population/household density. Results found higher COVID-19 positivity rates in communities with higher proportions of Latinx residents, those living below the federal poverty line, and those with high household densities.
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 the association between county-level income inequality and COVID-19 cases and deaths from March 2020 to February 2021. This cohort study used county-level longitudinal data for all 50 states, Puerto Rico, and D.C. Results showed that income equality was associated with higher rates of COVID-19 cases and mortality. Targeting communities with higher rates of income inequality must be considered to lessen the burden of inequality.
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 the association between county-level income inequality and COVID-19 cases and deaths from March 2020 to February 2021. This cohort study used county-level longitudinal data for all 50 states, Puerto Rico, and D.C. Results showed that income equality was associated with higher rates of COVID-19 cases and mortality. Targeting communities with higher rates of income inequality must be considered to lessen the burden of inequality.
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.