Find Resources
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:
Systematic Review/Meta-Analysis
This review offers to provide context for the indirect health effects of the COVID-19 pandemic thus far, including its impact on health service delivery and utilization. Results found an overall decrease in utilization of health services for non-COVID-19 related care, which could lead to an increase in chronic diseases in the future as patients are not receiving timely checkups.
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:
Commentary
This articles discusses the need for policy that promotes equitable access to holistic support in pregnancy care to address racial disparities in maternal care. The authors outline recommendations to increase access to medical care and social support for pregnant patients, particularly for the most vulnerable.
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:
Commentary
This story is part of a series, “Race Matters.” It highlights the problems with inconsistent data collection and reporting for Native Hawaiians and Pacific Islanders. Native Hawaiians and Pacific Islanders are often grouped with Asians or not tracked at all.
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
In an effort to help build the evidence base around social determinants of health (SDOH), the Assistant Secretary for Planning and Evaluation (ASPE) engaged RAND in a project to evaluate the current evidence from programs and policies targeting SDOH and identify research questions, data sources, and data gaps. RAND used a multi-methods approach that included an environmental scan of the published and gray literature of SDOH interventions; key informant interviews with subject matter experts; and a convening of U.S. Department of Health and Human Services agencies and operating divisions to review the results of the environmental scan and offer insights on findings.
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:
Systematic Review/Meta-Analysis
This systematic review examines COVID-19 literature on infections, hospitalizations, or deaths by race and ethnicity in the United States. Results found that Black and Hispanic populations experience higher rates of COVID-19 infection and COVID-19 related mortality, but similar rates of case fatality.
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:
Commentary
The authors discuss the need for a formal evaluation of the health equity impact of a new intervention, as these evaluations are hardly ever performed as part of a health technology assessment to understand its value. An evidence-based quantitative assessment of the health equity impact can help decision makers develop coverage policies, program designs, and quality initiatives focused on optimizing both total health and health equity, given the treatment options available. The authors outline the conceptual basis of how a new intervention can impact health equity and adopt distributional cost-effectiveness analysis based on decision-analytic models to assess this quantitatively, using a newly FDA-approved drug for Alzheimer’s disease (aducanumab) as an example.
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, Systematic Review/Meta-Analysis
The authors conducted a systematic review to understand disparities in H1N1 vaccine uptake by race/ethnicity, socioeconomic status, rural/urban residence, population density, and disability status, and factors associated with unequal uptake, as well as the benefits and harms of interventions designed to attenuate inequities in H1N1 vaccine uptake—in an effort to address potential disparities in COVID-19 vaccine access and uptake.
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.
RELEASE DATE:
Commentary
This article provides an overview of the link between racism and COVID-19 disparities, missing race and ethnicity data, and literature on demographic data gaps. The authors also provide recommendations on how health departments and healthcare systems can engage communities of color to co-develop race and ethnicity data collection processes.
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.