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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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Implementation Guide
Data Across Sectors for Health (DASH) is a national initiative funded by the Robert Wood Johnson Foundation and co-led by the Michigan Public Health Institute and the Illinois Public Health Institute. Created in 2015, DASH promotes and supports multisector data-sharing ecosystems with the goal of fostering more equitable, informed decision-making practices and ultimately improving community health outcomes. They provide financial support, technical assistance, resources, and programming to help foster community collaborations around data-sharing. Their website features information on their two active funding programs, a link to the DASH data-sharing framework and accompanying webinars, as well as information about their knowledge-sharing platform, DASH Knowledge Base, that is still in development. DASH is a great resource for organizations and community leaders seeking guidance on how to foster relationships and enhance data sharing capabilities between governments, community-based organizations, and other local players.
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:
Implementation Guide
This resource provides guidance on how to care for children in foster care during COVID-19. During the COVID-19 pandemic, caring for children in foster care was a challenge due to the changes brought about by social distancing and other measures. Children in foster care may have experienced adversity and trauma, making them more vulnerable to the effects of these changes. To help children in foster care during this difficult time, it is important to stay connected through virtual means, look for signs of stress, establish daily routines, reassure them, seek extra help if needed, have a back-up plan for emergencies, ensure safety and security, maintain family connections through in-person or virtual visits, and weigh the risks of in-person visits based on COVID-19 guidance. It is also essential to take care of oneself as a caregiver.
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.
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:
Systematic Review/Meta-Analysis
This article is an overall summary of long COVID, its risk factors, and ways to address it. Many of the risk factors identified are clinical, yet some management options include self-treatment.
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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Systematic Review/Meta-Analysis
This analysis explores regional variation in COVID-19 death rates across America. It unpacks the “two Americas” narrative of some parts of the country having high demand for vaccines and others having widespread vaccine hesitancy, and shows that a divide between rates of exceeds death existed prior to the introduction in vaccines. This difference is likely due to a difference in mask use, social distancing, and other behaviors. Results underscore the importance of excess mortality measures such as wastewater testing to get a more accurate picture.
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:
Systematic Review/Meta-Analysis
This study analyzes different epidemic models of COVID-19. It demonstrates the variability of models’ ability to predict COVID-19 transmission and outbreak. It advises public health practitioners to exercise caution when formulating public health strategies based on the prediction results of mathematical models due to this variability.
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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Key Informant Interview, Peer Review Study
This study focuses on qualitative data collected to better understand the experiences of adults living with long-COVID in the United Kingdom who participate in online support groups. These support groups were predominantly conducted through Facebook and WhatsApp, and individuals were asked to reflect on how they engage with the support groups and what external influences are influencing their experience with long-COVID. Participants explained that the support groups provided a place to connect with others, advocate for needed resources and information, and share therapies and management techniques in the absence of clear instruction from the medical community. Additional benefits included diversity of participants, reduced feelings of isolation, and improved mental wellbeing through validation and encouragement. Negative aspects of the support groups included challenges with the amount of stories and information shared, limited in-person interaction, and increased burden on group moderators.
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, Systematic Review/Meta-Analysis
This literature review outlines support for mobile health clinics as a successful and cost-effective method of healthcare delivery, especially towards underserved populations. Although financial and logistical challenges exist when implementing mobile health clinics, they ultimately help eliminate common barriers to health access. “Serving as a stepping-stone between the clinic and the community, MHCs are able to address both medical and social determinants of health, and have the potential to play an important role in our evolving healthcare system.”
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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Systematic Review/Meta-Analysis
This review offers to provide context for the indirect health effects of the COVID-19 pandemic thus far, including its impact on health service delivery and utilization. Results found an overall decrease in utilization of health services for non-COVID-19 related care, which could lead to an increase in chronic diseases in the future as patients are not receiving timely checkups.
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
The Vulnerable Population Footprint is a mapping and reporting tool that identifies where high concentrations of populations living in poverty and populations living without a high school diploma overlap.