There is great interest in the dissemination and implementation of evidence-based treatments and practices for children across schools and community mental health settings. A growing body of literature suggests that the use of one-time workshops as a training tool is ineffective in influencing therapist behavior and patient outcomes and that ongoing expert consultation and coaching is critical to actual uptake and quality implementation. Yet, we have very limited understanding of how expert consultation fits into the larger implementation support system, or the most effective consultation strategies. This commentary reviews the literature on consultation in child mental health, and proposes a set of core consultation functions,processes, and outcomes that should be further studied in the implementation of evidence-based practices for children.

A randomized experiment was conducted in two outpatient clinics evaluating a measurement feedback system called contextualized feedback systems. The clinicians of 257 Youth 11–18 received feedback on progress in mental health symptoms and functioning either every 6 months or as soon as the youth’s, clinician’s or caregiver’s data were entered into the system. The ITT analysis showed that only one of the two participating clinics (Clinic R) had an enhanced outcome because of feedback, and only for the clinicians’ ratings of youth symptom severity on the SFSS. A dose–response effect was found only for Clinic R for both the client and clinician ratings. Implementation analyses showed that Clinic R had better implementation of the feedback intervention. Clinicians’ questionnaire completion rate and feedback viewing at Clinic R were 50 % higher than clinicians at Clinic U. The discussion focused on the differences in implementation at each site and how these differences may have contributed to the different outcomes of the experiment.

Measurement feedback systems (MFSs) have been proposed as a means of improving practice. The present study examined the implementation of a MFS, the Contextualized Feedback System (CFS), in two community-based clinic sites. Significant implementation differences across sites provided a basis for examining factors that influenced clinician uptake of CFS. Following the theoretical implementation framework of Aarons, Hurlburt & Horwitz (2011), we coded qualitative data collected from eighteen clinicians (13 from Clinic U and 5 from Clinic R) who participated in semi-structured interviews about their experience with CFS implementation. Results suggest that clinicians at both clinics perceived more barriers than facilitators to CFS implementation. Interestingly, clinicians at the higher implementing clinic reported a higher proportion of barriers to facilitators (3:1 vs. 2:1); however, these clinicians also reported a significantly higher level of organizational and leadership supports for CFS implementation. Implications of these findings are discussed.

Dissemination of innovations is widely considered the sine qua non for system improvement. At least two dozen states are rolling-out evidence-based mental health practices targeted at children and families using trainings, consultations, webinars, and learning collaboratives to improve quality and outcomes. In New York State (NYS) a group of researchers, policy-makers, providers and family support specialists have worked in partnership since 2002 to redesign and evaluate the children’s mental health system. Five system strategies driven by empirically-based practices and organized within a state-supported infrastructure have been used in the child and family service system with over 2,000 providers: (a) business practices; (b) use of health information technologies in quality improvement; (c) specific clinical interventions targeted at common childhood disorders; (d) parent activation; and (e) quality indicator development. The NYS system has provided a laboratory for naturalistic experiments. We describe these initiatives, key findings and challenges, lessons learned for scaling, and implications for creating evidence-based implementation policies in state systems.