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Established Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by previous studies that are consistent with the objectives of the activities.
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Summary Report/Recommendations
Researchers conducted a series of interviews with administrators from 40 different nursing homes across the US between July 2020 and December 2021 to better understand their experiences amidst the COVID-19 pandemic. Interviewees described the adverse effects of the pandemic on the physical and mental health of the residents in their facilities as restrictions around visitation, socializing, and communal dining created isolating, inactive conditions. Administrators also expressed concerns for the longevity of the nursing home industry in the wake of the pandemic and resulting reductions in revenue and pervasive negative perceptions of nursing homes in the media.
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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White Paper/Brief
This brief lists interventions to support state public health efforts to address rural disparities and racial discrimination. It emphasizes the importance of localized data on social determinants of health and improving systemic and structural underpinnings of racial disparities. Suggested interventions address data collection and workforce issues, including representativeness and paid family leave.
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 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 assessed the anxiety level during the COVID-19 pandemic among pregnant women and compared it between COVID-infected and non-infected groups. The authors prospectively assessed the daily routine and anxiety level using a bespoke questionnaire and GAD-7 scale validated for pregnant women. With logistic regression, they established possible risk factors of generalized anxiety disorder spectrum and main causes of concern.
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.
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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Peer Review Study
This study uses COVID-19 death data by racial/ethnic group and age, along with US Census population data to explore variations in mortality risk by calculating age-specific mortality measures. The results found that minority groups such as non-Hispanic Black, Hispanic, and non-Hispanic American Indian or Alaska Native populations experience more COVID-19 mortality than White patients, but also experience more years of potential life lost due to racial/ethnic disparities.