The first paper provides a scoping review of risk assessment tools used by CPS agencies in the U.S. by synthesizing the literature published between 1990 and 2021. This paper describes the methodologies of those risk assessment tools and their implications for validity and reliability.
The second paper uses a qualitative approach to investigate the experiences of child welfare workers who use various risk assessment strategies to make a number of important decisions on a daily basis. This study also provides the narratives of child welfare workers about their perception of fairness in CPS.
Given the increasing attention paid to predictive risk modeling that can support improved decision-making in child protection agencies, the third paper illustrates the development and piloting of a risk stratification model in Los Angeles (LA) County. Using linked administrative records and machine learning algorithms, this paper offers an overview of collaborative efforts to develop, test, and implement the risk assessment model.
Finally, the fourth paper documents how the application of risk assessment tools can be used to examine and assess the distribution of families referred to community-based services by risk level, including variability in the likelihood of a service connection racial/ethnicity and gender subpopulations.
Each of these papers sheds light on varying aspects of risk assessment tools used by CPS agencies, including their implications for improved decision-making, applications for CPS agencies, and limitations and opportunities for service equity. The collection of presentations in this symposium is particularly timely in light of the opportunities presented by the Family First Prevention Services Act (FFPSA) and the resulting shift toward a prevention-focused approach for which a proactive and accurate risk assessment is critical.