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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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Video
This 25-minute video from the Johns Hopkins Bloomberg School of Public Health offers insights and lessons learned from public health practitioners who leveraged social media to communicate with broad audiences during the COVID-19 pandemic. It offers actionable tips on how to identify messages, audiences, and formats. Guidance on style and messaging decisions will help refine quick-hit online messages for the broader public.
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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White Paper/Brief
This article discusses the need for a disability data justice framework to support health equity goals. Even though 27% of American adults report having a disability, there exists limited COVID-19 data for the disabled community. Some public health surveys administered during the pandemic did not incorporate questions around disability until 2021. The article presents a series of recommendations on ways to achieve disability data justice. These include making disability a core element of all demographic data collection alongside race, ethnicity, and gender identity, increasing representation of disabled people across health professions, collaborating with members of the disabled community when developing and implementing disability data collection, and making health data accessible to all people with disabilities.
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
To make sure we’re accurately understanding people’s health, we need to use the same measuring tools in the same way for everyone, no matter who they are. In this study, Cintron and their team checked if a widely used depression test, the Patient Health Questionnaire (PHQ-8), works the same for different groups of people based on their age, gender, education, and race. They found that in about 24% of the cases, the test worked a little differently for these different groups. However, this is just slightly below the 25% limit we usually use to decide if the test is working the same for everyone. So, in general, the PHQ-8 seems to measure depression in a similar way for all the groups they studied. To make sure we’re treating everyone fairly when collecting health data, we should do similar research for other common tests and questionnaires to see if they work the same for different groups of people.
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.
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 study from the American Journal of Managed Care identifies the main factors influencing the implementation and sustainability of cross-sector data sharing between a community-based organization and an academic medical center via a case study of the Mid-Ohio Farmacy (MOF) produce referral program. The MOF is a unique program developed by the Mid-Ohio Food Collective and Ohio State University Wexner Medical Center (OSUWMC) to provide food insecure patients who have a qualifying chronic condition with money to purchase produce from food pantries on a monthly basis. Researchers conducted a series of key informant interviews with OSUWMC and Mid-Ohio Food Collective representatives to characterize the challenges of data sharing between the academic medical center and the community-based organization. Challenges were grouped into three main buckets: data sharing regulations, data exchange capabilities, and cross sector data integration. Some keys findings from this paper include the need for clarification around HIPPA regulations for data exchange between covered and non-covered entities, the importance of incorporating social-risk data (such as a food security screening tool) into the electronic health record, and the need for additional research and guidance around how to create fully integrated shared databases between health care and social service agencies.
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.
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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Other
The article discusses the challenges and frustrations surrounding Long COVID research in the United States. Despite substantial investments and numerous research efforts, progress in understanding and treating Long COVID has been slow and disappointing. Experts and patient advocates have criticized the research community for its focus on disease development rather than direct patient care, duplication of studies, and a lack of clinical trials. The authors propose a new hypothesis that Long COVID may be a form of post-infectious syndrome or chronic fatigue syndrome, suggesting that traditional biomedical research approaches may not yield meaningful results. Instead, they advocate for a shift towards health services research and measures that directly impact patients’ welfare, including prevention, improved prognosis, access to empathetic care, and quality of life issues. They emphasize the need for collaboration between researchers, patients, and advocacy groups to reset the research agenda effectively.
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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Summary Report/Recommendations
This document provides guidance on conducting after-action reviews (AARs) of the public health response to COVID-19. It offers a methodological approach that combines interactive workshops and interviews and includes practical implementation tools. The document builds upon previous ECDC guidance and aims to support countries in designing AARs for the response to COVID-19. AARs help review actions taken during a public health event, identify best practices and areas for improvement, and contribute to continuous quality improvement in emergency preparedness and response planning. The guidance is adaptable for national and sub-national contexts and targets public health experts from EU/EEA Member States, EU candidate and potential candidate countries, and European Neighbourhood Policy countries.
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 conducted interviews with public health professionals from local and state health departments to understand their experiences in providing comprehensive COVID-19 case investigation and contact tracing with refugee, immigrant, and migrant communities. The research identified six themes related to promising practices, including understanding the community and public health context, cultivating relationships, ensuring linguistic and cultural concordance, communicating intentionally, evolving response strategies, and implementing equity measures. These findings aim to inform proactive, community-engaged solutions for public health organizations working with these communities during public health crises, such as COVID-19, to improve collaborations and staff wellbeing.
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
The study conducted by the Centers for Disease Control and Prevention (CDC) and Federal Emergency Management Agency (FEMA) assessed high-throughput COVID-19 vaccination sites in the United States, including Puerto Rico, to identify promising practices for their implementation. Through site observations and staff interviews, they conducted 134 assessments in multiple states, highlighting practices related to health equity, partnerships, site design, visual communication, quick response codes, and risk management. These findings can aid in the planning and execution of future vaccination operations for COVID-19, influenza, and other vaccine-preventable diseases, offering valuable insights to vaccination planners and providers for strengthening their site plans and implementation strategies.