Find Resources
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.
RELEASE DATE:
White Paper/Brief
To help policymakers and other stakeholders identify opportunities to improve health equity in their states, SHADAC has produced a set of data resources for the 50 states and the District of Columbia. Using the Behavioral Risk Factor Surveillance System (BRFSS) Survey — combining the three most recent years of data (2018–2020) to improve our ability to develop reliable state-level estimates for smaller population subgroups — SHADAC created maps and charts showing how states compare to the U.S. average in measures of people’s self-reported physical and mental health, and how people’s physical and mental health varies depending on their race and ethnicity, level of income, and age within each state.
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.
RELEASE DATE:
Summary Report/Recommendations
This study uses data from the COVID Tracking Project’s Racial Data Tracker, which aggregates state-level COVID-19 reporting and tracking databases to determine racial/ethnic trends of COVID-19 incidence and evaluate the racial/ethnic distribution of COVID-19 related mortality in the US. Results found that disparities are more apparent at the county and city level, and discusses the importance of transparent, local data in order to allow for greater precision in resource allocation and effective policy changes aimed at reducing disparities. The study includes choropleth maps of the results by state.
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:
Data Collection Tool
The COVID Racial Data Tracker is a collaboration between the COVID Tracking Project and the Boston University Center for Antiracist Research. The tracker is a collection of race and ethnicity data on COVID-19 in the United States.
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:
White Paper/Brief
An early report issued by the CDC identified staff members working in multiple nursing homes as a likely source of spread of COVID-19. The authors performed the first large-scale analysis of nursing home connections via shared staff and contractors. Using a large-scale analysis of smartphone location data, they found that 49 percent of COVID-19 cases among nursing home residents was attributable to staff movement between facilities. Traditional federal regulatory metrics of nursing home quality were unimportant in predicting outbreaks. The results provide evidence for a policy recommendation of compensating nursing home workers to work at only one home and limit cross-traffic across homes.
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:
Data Collection Tool
The National Equity Atlas is a first-of-its-kind web resource for data to track, measure, and make the case for inclusive growth. The Atlas provides deeply disaggregated, longitudinal data on demographic change, racial and economic inclusion, and the economic benefits of equity for the largest 100 cities, largest 150 regions, all 50 states, and the United States. The data can be used for data collection and analysis.
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:
Data Collection Tool
This special edition data tool provides important information related to the COVID-19 pandemic, such as data regarding where populations vulnerable to the COVID-19 pandemic reside, where the cases are surging, and which communities will require greater hospital capacity for severe COVID-19. The data can be used for data collection and analysis.
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:
Data Collection Tool
The Mapping Medicare Disparities (MMD) Population View provides a user-friendly way to explore and better understand disparities in chronic diseases, and allows users to: (1) visualize health outcome measures at a national, state, or county level; (2) explore health outcome measures by age, sex, race and ethnicity; (3) compare differences between two geographic locations (e.g., benchmark against the national average); and (4) compare differences between two racial and ethnic groups within the same geographic area.
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
The authors assess racial and ethnic disparities in four experience-of-care metrics among Medicaid managed care enrollees and estimate the extent to which overall disparities may be attributed to within-plan disparities versus between-plan disparities.
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 study details a national, state-level analysis of COVID-19 infection and mortality disparities between ethnic and racial subgroups using data from the COVID Tracking Project. Results found significantly higher rates of COVID-19 infections among Hispanic and African American populations. A choropleth map of disparities in the United States was produced as part of the study.
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 is a retrospective cohort study that was used to inform COVID-19 infection prevention measures by identifying and assessing risk and possible vectors of infection in nursing homes (NHs) using a machine-learning approach. The strongest predictors of COVID-19 infection were identified as the county’s infection rate and the number of separate units in the NH; other predictors included the county’s population density, historical health deficiencies, and resident density. In addition, the NH’s historical percentage of non-Hispanic white residents was identified as a protective factor. The study concluded that a machine-learning model can help quantify and predict infection risk.