Adoption & Foster Care

This research brief uses claims data from the Medicaid and Children's Health Insurance Programs to examine the behavioral health diagnoses and treatment services received by children and youth involved with the child welfare system in 2019.

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 practice guide is a resource for a broad range of human services programs aiming to be more inclusive of and responsive to fathers. Building on literature from the field and interviews with human services providers that engage fathers in services, this guide outlines strategies for advancing equity in human services programs:

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.

Program Integrity and Effectiveness through Data and Analysis (PIEDA) aims to enhance the capacity to share and link data between state child welfare and Medicaid agencies on issues at the nexus of the two systems. PIEDA intends to sustainably improve the data infrastructure of states to increase their ability to analyze challenges experienced by families involved in child welfare systems.

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.

The Family First Prevention Services Act (FFPSA) permits states to use title IV-E foster care funding for children placed in foster care with their parent in a licensed residential family-based treatment facility for substance abuse. However, few states currently use this funding, due to barriers such as competing priorities and lack of facilities.

Between 2011 and 2018, increasing numbers of infants were removed from their parents or caregivers. From 2011 to 2018 the number of infants entering foster care increased 24 percent reaching around 50,000 in 2018. This increase was nearly 13 times as much as the 1.8 percent increase in placements for other age groups .