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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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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.
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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Summary Report/Recommendations
The Johns Hopkins University COVID-19 dashboard, which was launched one day after the first confirmed US COVID-19 case, provides an accessible means of viewing COVID-19 cases, deaths, recoveries, and vaccination rates globally. This report covers the data collection process and challenges faced while doing so, especially those related to pulling data from various sources. It offers ways for public health agencies to adapt their approaches for reporting data.
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.
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
Using available COVID-19 case and vaccination data, the CDC compared three different methodologies for grouping race/ethnicity COVID-19 data. Two of these methodologies are focused on how to group race/ethnicity when fields are missing. The results show that methods that use race information when ethnicity is missing resulted in higher estimated COVID-19 cases, incidence, and vaccination coverage. However, more work must be done to improve upon these methods in order to create more equitable and reliable data.
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 discusses the work of Israel’s multidisciplinary academic group on children and coronavirus (MACC) to examine the role of children in viral transmission and assessing the necessity and consequences of restricted in-class education. This article focuses on the evolution, activities, policy inputs, and media profile of MACC, and discusses the role of academics in advocacy and activism in the midst of a global 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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Summary Report/Recommendations
This report represents a landscape review of community-level efforts to address SDOH, followed by interviews with participants in three community-level initiatives that have built networks to coordinate clinical and social services. This report presents a cross-site analysis of the three initiatives, highlighting factors they identified as facilitating their efforts, the challenges they faced, their plans for continued expansion, and opportunities for federal and state entities, among other actors, to contribute.
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
In this project, RAND Corporation researchers identified existing health equity measurement approaches that might fit with Medicare’s VBP programs, quality reporting efforts, and confidential reports. The project had two objectives: identify health equity measurement approaches, and decide which of these approaches merit consideration for inclusion in Medicare’s VBP programs, quality reporting efforts, and confidential reports. This report describes the methods and findings of the project and delineates potential first steps for the U.S. Department of Health and Human Services to consider as it continues to evaluate the prospect of incorporating health equity measures and domains in Medicare’s VBP and reporting programs.
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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Summary Report/Recommendations
This article discusses the current trends for collecting race/ethnicity data and other social determinants of health, which evolved from the 1978 Office of Management and Budget directive “Race and Ethnic Standards for Federal Statistics and Administrative Reporting.” The article comments on the inability of the current system to capture the nuance necessary to depict and address health inequities within the United States, and advocates for the immediate adoption of collecting primary/preferred language and country of birth/origin to capture more complete data on individuals.
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 article provides a framework for the application of big data analytic technology to assist in the prevention and control of major public health incidents, including the most recent SARS-CoV-2 pandemic. This article serves as recommendations for large scale entities and governments to building capacity for data analytics to be utilized for epidemic prevention and control.