Child Welfare

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.

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:

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.

This brief summarizes an environmental scan and series of key informant interviews describing the challenges that human services programs face in identifying participants with substance use disorders (SUD), and subsequently referring them to treatment. The review focused on child welfare services, domestic violence services, Head Start, and Temporary Assistance for Needy Families.

This brief summarizes discussions among experts participating in a roundtable. The discussions focused on promising strategies to identify substance use disorder (SUD) among human services participants and refer them to treatment and recovery supports. The roundtable concentrated on four programs: Temporary Assistance for Needy Families, child welfare, domestic violence, and Head Start.

This brief reviews the role of health and human service providers in preventing Fetal Alcohol Spectrum Disorder.Related Products:

This brief synthesizes effective state and local level strategies for prevention, identification and intervention of Fetal Alcohol Spectrum Disorder.Related Products:

This brief identifies methods and emerging strategies to engage people with lived experience in federal research, programming, and policymaking. It draws on lessons learned from federal initiatives across a range of human services areas to identify ways that federal staff can meaningfully and effectively engage people with lived experience.Related Products:

The Child and Caregiver Outcomes Using Linked Data project provides technical assistance to states to develop state-specific datasets linking the Medicaid administrative claims of parents with the records of their children from the child welfare system. The data will be combined into a multi-state, de-identified data sets for secondary data analysis.

Many child welfare systems have begun to provide prevention services to mitigate economic-related factors that place children at risk of entering foster care. Transforming child welfare systems to prevent child maltreatment and child welfare system involvement requires adequate information and analytic approaches.