The impact of drugs, infants, single mothers, and relatives on reunification: A Decision-Making Ecology approach.

Using a Decision-Making Ecology (DME) approach and proportional hazards models, the study isolated four case factor profiles that interacted strongly with race and resulted in disparate reunification outcomes for African American children compared with Anglos. The four interrelated factors were drug involvement, a solo infant case, single mothers, and relative placements. A cohort of 21,763 children from the Texas Department of Family and Protective Services who were placed for the first time in care, who were under 13 and either Anglo or African American were followed for 20 months or more post entry into care.

Development of an instrument to understand the child protective services decision-making process, with a focus on placement decisions.

When children come to the attention of the child welfare system, they become involved in a decision-making process in which decisions are made that have a significant effect on their future and well-being. The decision to remove children from their families is particularly complex; yet surprisingly little is understood about this decision-making process. This paper presents the results of a study to develop an instrument to explore, at the caseworker level, the context of the removal decision, with the objective of understanding the influence of the individual and organizational factors on this decision, drawing from the Decision Making Ecology as the underlying rationale for obtaining the measures.

The Decision Making Ecology of placing a child into foster care: A structural equation model.

The Decision Making Ecology provided a framework for empirically testing the impact of Case, Caseworker and Organizational factors on the decision to place children in out-of-home care. The structural equation model we developed fit the data extremely well, indicating a complex relationship between the variables. The main findings indicate that Case factors, even as aggregated to the worker level, were of most importance: Percent Removed was increased in part by greater average Risk being assessed and more families on a worker's caseload being Low Income.