Casey Family Programs
Reducing the number of children in foster care requires actionable policy and practical solutions. By identifying subpopulations of children and youth who use intensive or frequent services, we might shed light on those who lack the right types of support at critical junctures, live in overly restrictive environments, receive too many ineffective services, or require better and different ways of meeting their needs.
Evidence & Insights From This Project
Researchers Identify Types and Predictive Factors of High-Level Users of Child Welfare, Medicaid, and Other Services Among Children in Foster Care
By linking administrative data from child welfare, Medicaid, and other substance abuse and mental health services, a new study from Mathematica Policy Research and Casey Family Programs identifies types of high-level service use, or superutilization, among children in foster care.
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