There is a growing consensus that implementation of evidence-based intervention and treatment models holds promise to improve the quality of services in child public service systems such as mental health, juvenile justice, and child welfare. Recent policy initiatives to integrate such researchbased services into public service systems have created pressure to expand knowledge about implementation methods. Experimental strategies are needed to test multi-level models of implementation in real world contexts. In this article, the initial phase of a randomized trial that tests two methods of implementing Multidimensional Treatment Foster Care (an evidence-based intervention that crosses child public service systems) in 40 non-early adopting California counties is described. Results are presented that support the feasibility of using a randomized design to rigorously test contrasting implementation models and engaging system leaders to participate in the trial.
Keywords
Implementation; Randomized design; Community development team; Multidimensional treatment foster careA number of rigorous randomized trials have shown that theoretically based, developmentally and culturally sensitive interventions can produce positive outcomes for children and adolescents with mental health and behavioral problems (e.g., Olds et al. 2003;Henggeler et al. 1998). As the number and variety of well-validated interventions increases, the pressure also has increased from a broad range of stakeholders (e.g., scientific and practice institutes, state legislatures, public interest legal challenges) to incorporate evidence-based practices (EBP) into publicly funded child welfare, mental health, and juvenile justice systems (NIMH 2001(NIMH , 2004. Despite the increasing availability and demand for well-validated interventions, it is estimated that 90% of public systems do not deliver treatments or services that are evidence-