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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 article describes the rapid scale-up of adolescent telehealth services at the Children’s Hospital of Philadelphia (CHOP) Division of Adolescent Medicine. While the scale-up was partially effective in reaching some underserved populations (e.g., people living with HIV, people with substance use disorder, people living with mental illness), racial disparities in visit completion rates are concerning and would need to be addressed by sites replicating this intervention to avoid exacerbating health disparities. The practice strategy this article is focused on is adolescent telehealth services.
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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White Paper/Brief
This brief outlines The Public Health Alliance of Southern California’s priority areas for elevating public health & equity in the COVID-19 response. This includes outlining what is needed in infrastructure, health and safety, economic security, food security, housing stability, and 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.
RELEASE DATE:
Peer Review Study
This article looks at a cohort study of patients tested for COVID-19 in Washington, Oregon, and California from March to July 2020 to test for an association between COVID-19 positivity rates and preferred language. The study found that individuals who did not speak English as their first language were more likely to test positive for COVID-19.
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.
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.
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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.