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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.
RELEASE DATE:
Peer Review Study
This study analyzed 30-day outcomes of COVID-19 patients surviving to discharge across a five-hospital health 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.
RELEASE DATE:
Peer Review Study
The purpose of this study was to provide healthcare decision-makers in North Carolina with information about the available health workforce in order to conduct workforce surge planning and to anticipate concerns about professional or geographic workforce shortages. Descriptive and cartographic analyses were conducted using licensure data to assess the supply of respiratory therapists, nurses, and critical care physicians. Licensure data were merged with population data and numbers of intensive care unit beds. Higher concentrations of healthcare workers were observed in urban areas. Critical care physicians were primarily based in areas with academic health centers.
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
Using jail population data, county-level aggregate data, and policy intervention data, this study examines the association of jail decarceration and anticontagion policies with COVID-19 rates. This study adds a unique contribution to the discussion of incarceration and disease spreading, as it is the first to examine the effects of decarceration on population-level community health outcomes. The authors compare anticontagion policies within jails throughout the United States to other community policy interventions such as stay-at-home orders, nursing home visitation bans, school closures, and mask mandates. Additionally, the study analyzes four demographic subsets including income, population density, and median proportion of populations identifying as Black. The results showed that an 80% reduction in jail incarcerations would decrease disease spreading in both the prison system and the community, and was more effective than any other community policy intervention.
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
Using patient record data from the New York University Langone Health System, this study examines outcomes from individuals who tested positive for COVID-19 in New York City from March 1 through April 8, 2020, to examine differences in outcomes based on age, sex, body mass index, comorbidity, insurance type, and neighborhood socioeconomic status. The results indicated that while Black and Hispanic communities were experiencing larger mortality rates in the general population, the study did not find that Black and Hispanic individuals are experiencing worse COVID-19 outcomes, including mortality when hospitalized, as compared to hospitalized patients who are white. This study supports the idea that existing social determinants of health, such as access to housing, access to health care, differential employment outcomes, and poverty can impact mortality rates for Black and Hispanic communities.
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 article highlights a retrospective co-cohort study conducted to assess COVID-19 cases among the indigenous Maya in Alameda County, California. The authors also discuss the issues in misclassification of public health data among the Maya people.
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 article highlights research examining the intersectionality between immigrant status and visible minority status in Canada in regards to the ease of accessing healthcare services before and during the COVID-19 pandemic through healthcare data analytics.
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 article explores how health data technology tools such as Artificial Intelligence (AI) and Machine Learning (ML) tools can be implemented and adapted to assist in better responses and outcomes to the COVID-19 pandemic, as well as future epidemics. This literature review focuses on peer-reviewed articles concerning four themes: COVID-19 and the need for AI; utility of AI in COVID-19 screening, contract tracing, and diagnosis; use of AI in COVID-19 patient monitoring and drug development; AI beyond COVID-19 and opportunities for Low-Middle Income Communities (LMIC). This review contains examples of ways healthcare systems have implemented AI and ML to predict and treat outcomes of COVID-19, as well as potential capacities for AI.