Abstract

Abstract Children awaiting adoption through the child welfare system often have “special needs,” or characteristics that make securing an adoptive home for them challenging. A subset of these youth experiences significant psychiatric symptomatology, which may pose a problem for the stability of the adoptive placement. Clinicians and policymakers require information about precursors to mental health difficulties in order to plan effectively for the placement of these children. This study examines potential child and biological family risk factors for the presence of a DSM-IV mental health diagnosis among 368 children placed for adoption by a special needs adoption program between February 1997 and April 2005 using logistic regression within the Generalized Estimating Equations (GEE) framework. A significant proportion of the children and biological parents in our study experienced serious adversity prior to adoptive placement. Older age at adoptive placement, white race, male gender, having more than one placement, and a history of sexual abuse are significant predictors of the presence of a mental health diagnosis in the logistic regression model. Biological parent incarceration is significantly associated with the absence of a mental health diagnosis. Adoptive placement is a key transition for youth who have often experienced significant loss and trauma prior to placement. Support of the adoptive family and youth can be critical to ensuring placement stability and may be especially salient for youth with documented mental health diagnoses and corresponding behavioral problems, which put children at increased risk for placement disruption. More work is needed to understand the interplay of risk and protective factors for mental health difficulties among youth adopted from the child welfare system, including how these are affected by child welfare policies, informal procedures, and resources to produce varying outcomes for children in peril.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call