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Adoption & Foster Care

Reports

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ASPE Issue Brief

Case Studies in Supporting Prevention through Human Services Program Integration

The Office of the Assistant Secretary for Planning and Evaluation in the U.S. Department of Health and Human Services has been working with researchers, human services agency leaders, and persons with lived experience to visualize, describe, and document models of prevention within human services.
ASPE Issue Brief

Coordinating Integrated Prevention Approaches to Serve the Whole Person

The Office of the Assistant Secretary for Planning and Evaluation in the U.S. Department of Health and Human Services has been working with researchers, human services agency leaders, and persons with lived experience to visualize, describe, and document models of prevention within human services.
ASPE Issue Brief

Integrating Services to Strengthen Children, Youth, and Families and Prevent Involvement in the Child Welfare System

The Office of the Assistant Secretary for Planning and Evaluation in the U.S. Department of Health and Human Services has been working with researchers, human services agency leaders, and persons with lived experience to visualize, describe, and document models of primary prevention within human services.
Fact Sheet

Exploration of Child Welfare Systems’ Experiences with Custody Relinquishment

This one-pager describes the research questions and objectives of a project exploring the use of custody relinquishment, or when children enter foster care primarily to obtain behavioral health or disability services.
Fact Sheet

Improving Services for Children and Families through Linked Child Welfare and Medicaid Data

This two-pager describes several child welfare and Medicaid data linking projects and lessons learned from those projects. For example, the brief highlights key lessons such as the value in providing states with support in navigating data governance and in strengthening and harmonizing data infrastructure on child welfare service.
Research Brief

Behavioral Health Treatment by Service Type and Race and Ethnicity for Children and Youth Involved with the Child Welfare System

Children and youth involved with the child welfare system frequently have behavioral health conditions and are high users of behavioral health services compared to children and youth in other Medicaid eligibility categories.
ASPE Issue Brief

Advancing Research on Intersections of Child Welfare and Medicaid Using Linked Data from the CCOULD Project

Increasing availability of linked child welfare and Medicaid data can advance research on the intersections of child welfare and Medicaid. The project, Child and Caregiver Outcomes Using Linked Data (CCOULD), developed a research-use dataset combining child welfare records and Medicaid claims for children and families involved in child welfare systems in Florida and Kentucky.
ASPE Issue Brief

Project Update: Child Welfare and Health Infrastructure for Linking and Data Analysis of Resources, Effectiveness, and Needs (CHILDREN) Initiative

This brief describes progress in the Child Welfare and Health Infrastructure for Linking and Data Analysis of Resources, Effectiveness, and Needs (CHILDREN) Initiative, which is entering its second year. At this time, four jurisdictions have been selected for participation in the CHILDREN Initiative and are engaging in feasibility studies to determine readiness for linking data.
Research Brief

Behavioral Health Diagnoses and Treatment Services for Children Involved with the Child Welfare System

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.
Report

Avoiding Racial Bias in Child Welfare Agencies' Use of Predictive Risk Modeling

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.