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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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Data Collection Tool
The Coronavirus Perinatal Experiences Impact Survey (COPE-IS) is an assessment tool for new and expecting mothers that was built through a collaborative process with more than 100 scientists and clinicians involved. The tool focuses on experiences of new and expecting mothers, including exposure to COVID-19, financial considerations, social support, restricted activities, and coping.
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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Peer Review Study
Survey on the impact of COVID-19 on pregnant women that can be adapted to assessing the experiences of this population in future crises. This article discusses the findings of a survey distributed to 1,439 Dutch women who were pregnant between April 4-May 10, 2020. The survey included multiple scales, such as the COVID-19 and Perinatal Experiences scale, the State-Trait Anxiety Inventory, and the Edinburgh Depression Scale, and compared results with a similar survey completed in 2018. The survey included 8 key domain areas, including topics like financial stress, social support, partner support, anxiety symptoms, and depressive symptoms, to name a few. Women reported higher worries related to COVID-19 in general, and also reported higher work/financial related worries. Depression and anxiety also increased, with anxiety rates increasing two-fold.
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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Data Collection Tool
This special edition data tool provides important information related to the COVID-19 pandemic, such as data regarding where populations vulnerable to the COVID-19 pandemic reside, where the cases are surging, and which communities will require greater hospital capacity for severe COVID-19. The data can be used for data collection and analysis.
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:
Data Collection Tool
The Mapping Medicare Disparities (MMD) Population View provides a user-friendly way to explore and better understand disparities in chronic diseases, and allows users to: (1) visualize health outcome measures at a national, state, or county level; (2) explore health outcome measures by age, sex, race and ethnicity; (3) compare differences between two geographic locations (e.g., benchmark against the national average); and (4) compare differences between two racial and ethnic groups within the same geographic area.
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 explores disparities for older adults experiencing COVID-19 using Census and PULSE COVID data. The study shows that older adults are more susceptible to health disparities, especially adults from 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 study looks at internet usage of older adults through the California Health Interview Survey to examine how social determinants of health and socioeconomic levels can impact access to health information. Results found that minorities with lower levels of socioeconomic status are most impacted by a digital divide and access to health information via the internet.