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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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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.
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.