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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.
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 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.
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 incorporating geographic information science and technology (GIS&T) into COVID-19 pandemic surveillance, modeling, and response. Applications include: 1) developing spatial data infrastructures for surveillance and data-sharing; 2) incorporating mobility data in infectious disease forecasting; 3) using geospatial technologies for digital contact tracing; 4) integrating geographic data into COVID-19 modeling; 5) investigating geographic social vulnerabilities and disparities; and 6) communicating the status of the disease or status of facilities for return-to-normal operations.
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, Systematic Review/Meta-Analysis
This report discusses a scoping review conducted to identify social determinants of health (SDOH) that are risk factors for, or associated with outcomes of, COVID-19, and to understand the definitions, characteristics, and measures of SDOH data elements as they were used in studies analyzing statistical associations with the risk for COVID-19 infection and COVID-19-related outcomes in the United States. The granular evidence provided by the scoping review findings calls for the standardization of SDOH data across health care, public health, and research.
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:
Summary Report/Recommendations
This article discusses use of digital contract tracing applications in France during the COVID-19 pandemic. While these apps have been created to help mitigate spread of COVID-19 by offering health advice on isolation and testing, they are not being used by the majority of the population. In May 2020, the COVID-19 Control and Society Connection Council (CLL) was established to issue advice and guidance on the national epidemic digital systems. This paper illustrates the recommendations by this committee for the improvement of these applications.