Predicting risk of entry into foster care from early childhood experiences: A survival analysis using LONGSCAN data

This study examined whether a multi-domain model of maltreatment informed by an ecological framework including factors related to the child, caregiver, family, neighborhood, and dimensions of maltreatment experience predicted entry into foster. care between the ages of 4 and 18 among children with no prior foster care experience. To determine which factors predict entry into foster care, secondary data analyses were conducted utilizing a sub-sample from LONGSCAN (Longitudinal Studies of Child Abuse and Neglect) of 942 children and their primary caregivers. Results demonstrate that there are important predictors for entry into out-of-home placement across multiple ecological domains. Characteristics related to child, caregiver, and family characteristics, and neighborhood context, as well as dimensions of maltreatment (particularly emotional maltreatment), predicted risk of placement in out-of-home care. Implications for child welfare practice are discussed. This examination of the effects of multiple ecological domains adds to our understanding of children's risk of removal and entry into out-of-home placement. (C) 2015 Elsevier Ltd. All rights reserved.