Age, Gender & Gender Identities

This Issue Brief examines the composition of the population that is uninsured and highlights changes in uninsured rates by geography and demographic factors from 2019 to 2021, during a time of significant federal policy efforts to expand coverage.

The Early Childhood Systems Collective Impact Project (ECS Collective Impact Project) will help to re-envision a truly coordinated approach to program implementation designed to advance equitable early childhood and family well-being outcomes across federal programs that support expectant parents, children ages 0 to 8, and their families.

Doulas provide emotional, physical, and informational support before, during, and after labor and birth.

The authors conducted a landscape scan to identify environmental data suitable for health services research (HSR) and patient centered outcomes research (PCOR). Additional research was done to uncover examples of and opportunities for data linkage with other HHS data.

In this brief, we highlight experiences and practices from substance use treatment providers and their human services partners when serving people of color. We selected providers that focused on serving people of color, and this study was not intended to assess outcomes or effectiveness of any of the practices highlighted.

Methodological Description

This updated 2022 vignette provides examples of how a range of the Office of the Secretary Patient-Centered Outcomes Research (OS-PCORTF) cross-agency projects are working to improve maternal health by 1) Enhancing Women’s Health Data for Research 2) Adding Electronic Health Records to the Suite of Maternal Health Data for Research 3) Linking Maternal Survey Data with Other Health Data.

This brief presents estimates of the number and percentage of children whose parents engage in problematic substance use, including past-year substance use and SUD by substance type and child demographics. Key findings include:

Using a national Medicaid database, the report shows significant racial/ethnic disparities in mental health service use among children during the COVID-19 pandemic.

In recent years several researchers and child welfare agencies have begun developing predictive risk models to support child welfare decision-making. Predictive analytics is a sophisticated form of risk modeling that uses historical data to understand relationships between myriad factors to estimate a probability score for the outcome of interest.