The State Child Abuse and Neglect (SCAN) Policies Database helps those interested in differences between states’ definitions and policies on child maltreatment. These fact sheets explore key aspects of definitions and policies including defining, reporting, screening, and investigating maltreatment.
The State Child Abuse and Neglect (SCAN) Policies Database is a resource for researchers, analysts, and others who are interested in examining differences between states in their definitions and policies on child maltreatment.
The annual report describes the major activities and accomplishments from October 2020 through September 2021 for Mathematica’s contract to conduct the cross-site evaluation and provide technical assistance for the fourth, fifth, and sixth cohorts of the Regional Partnership Grants (RPG).
The annual report describes the major activities and accomplishments from October 2019 through September 2020 for Mathematica’s contract to conduct the cross-site evaluation and provide technical assistance for the fourth, fifth, and sixth cohorts of the Regional Partnership Grants (RPG).
This summary highlights how nine programs have addressed challenges to serving child welfare-involved parents with substance use disorders (SUDs), with a particular focus on their applicability to rural communities.
This brief describes nine programs and highlights ways they have addressed challenges to serving child welfare-involved parents with substance use issues, with a particular focus on their applicability to rural communities.
This brief highlights the uses and benefits of a supervision support tool for predictive risk modeling in child welfare.
This brief summarizes the challenges involved in serving rural families involved with the child welfare system who have substance use issues.
This document describes how predictive risk models can help child protective services navigate an environment where it is hard to separate “noise” from “signal.”
The Family First Prevention Services Act (FFPSA), signed into federal law in 2018, offers an important new opportunity for child welfare agencies to reduce foster care placements and strengthen families.
A study by Casey Family Programs and Mathematica demonstrated the potential of linked administrative data and advanced analytics to uncover insights about child welfare and health care services to identify actionable strategies to improve the lives of families in the child welfare system.
Mathematica offers a comprehensive approach to help agencies improve the quality of child welfare data.
At Mathematica, we combine data analysis expertise with child welfare program knowledge to produce insights that will drive improved outcomes not only for child welfare agencies, but also for the children and families they serve.
Mathematica helps child welfare agencies gain insight into their programs so they can pinpoint where things are going well and zero in on the challenges that persist.
In this web-based and interactive issue brief, Mathematica Policy Research and Casey Family Programs share results from a study they conducted, which linked child welfare and Medicaid data to identify high service users amongst a sample of children in foster care in Tennessee and Florida.
Growing interest in the use of administrative data to answer questions around program implementation and effectiveness has led to greater discussion of how government agencies can develop the necessary internal data infrastructure, analytic capacity, and office culture.
Mathematica and Casey Family Programs have published the final report from a project linking child welfare and Medicaid data to conduct analyses to understand types of high service use and to identify factors predictive of high service use among children in foster care.
Mathematica and Casey Family Programs have published the final report from a project linking child welfare and Medicaid data to conduct analyses to understand types of high service use and to identify factors predictive of high service use among children in foster care.
This report for the Department of Labor examines Self-Employment Assistance (SEA) programs, which help eligible unemployment benefit recipients start businesses. It examines states’ motivation for and experience with establishing SEA programs and outcomes of SEA participants and their businesses.
This brief reveals a significant gap between service needs and service receipt among children and caregivers in the 18 months after a child welfare investigation.