This study includes 20 physically abused children aged 9–17 who completed Combined Parent–Child Cognitive Behavioural Therapy.

Outlining developments with reference to relevant studies, this review characterizes the perspectives used to explore and understand the phenomenon of children being left behind in rural China by parents going to work in cities.

The present investigation leveraged unstructured, case narrative fields in child welfare records to enhance knowledge about Child Protective Services (CPS) involvement among children born to mothers in care.

The purpose of this action research study was to investigate social workers’ perceptions of the problems that prevent successful family reunifications after foster care. The study explored social workers’ perceptions of barriers that prevent family reunifications in central Mississippi, USA.

This phenomenological study included 18 in-depth interviews with six mothers aged 19–22 years in or transitioning from foster care.

After the cancellation of the 2013 US National Child Welfare Evaluation Summit, the Children’s Bureau decided to develop short videos as a means of sharing ideas and issues that could not be presented at the conference. The result is the Virtual Summit Series, a group of 17 videos that combine illustration, animation, motion graphics, and content from national experts.

This webinar series offers technical assistance to child welfare agencies in the US on how to use data to improve outcomes for children and families.

The 2018 Home Visiting Yearbook uses 2017 data to present the most up-to-date look at home visiting on the US national and state levels.

The Data Supplement to the 2017 Home Visiting Yearbook presents 2016 data on early childhood home visiting, a proven service delivery strategy that helps children and families thrive.

This three-part video series shows how a fictional organization, Greene County Department of Human Services, set out to improve permanency for children and youth by increasing the number of available foster and adoptive homes using data-driven decision making (DDDM).