Faculty Bibliography

This article reviews the progression of a research program designed to develop, implement, and study the implementation of "achievable" evidence-based practices (EBPs) in schools. We review challenges encountered and ideas to overcome them to enhance this avenue of research. The article presents two federally funded randomized controlled trials involving comparison of a four-component targeted intervention (Quality Assessment and Improvement, Family Engagement and Empowerment, Modular Evidence-Based Practice, Implementation Support) versus a comparison intervention focused on personal wellness. In both studies, primary aims focused on changes in clinician attitudes and behavior, including the delivery of high-quality EBPs and secondary aims focused on student-level impacts. A number of challenges, many not reported in the literature, are reviewed, and ideas for overcoming them are presented. Given the reality that the majority of youth mental health services are delivered in schools and the potential of school mental health services to provide a continuum of mental health care from promotion to intervention, it is critical that the field consider and address the logistical and methodological challenges associated with implementing and studying EBP implementation by clinicians.

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, policymakers, 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 more than 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.

OBJECTIVE This study examined the extent to which therapists who participated in a randomized controlled trial (RCT) of evidence-based treatments continued to use them with nonstudy clients after the trial as well as the types of treatment used and the reasons for their continued use. METHODS Semistructured interviews and focus groups were conducted with 38 therapists, three clinical supervisors, and eight clinic directors three months after an RCT of evidence-based treatments for depression, anxiety, and conduct disorders among children and adolescents. The therapists had been assigned randomly to one of three conditions: modular (N=15), allowing flexible use and informed adaptations of treatment components; standard (N=13), using full treatment manuals; and usual care (N=10). Grounded-theory analytic methods were used to analyze interview transcripts. RESULTS Twenty-six therapists (93%) assigned to the modular or standard condition used the treatments with nonstudy cases. Of those, 24 (92%) therapists, including all but two assigned to the standard condition, reported making some adaptation or modification, including using only some modules with all clients or all modules with some clients; changing the order or presentation of the modules to improve the flow or to work around more immediate issues; and using the modules with others, including youths with co-occurring disorders, youths who did not meet the age criteria, and adults. CONCLUSIONS The results provide insight into the likely sustainability of evidence-based treatments, help to explain why the outcomes of the RCT favored a modular approach, and highlight the strengths and limitations of use of evidence-based treatments.

Identifying predictors of evidence-based practice (EBP) use, such as supervision processes and therapist characteristics, may support dissemination. Therapists (N = 57) received training and supervision in EBPs to treat community-based youth (N = 136). Supervision involving modeling and role-play predicted higher overall practice use than supervision involving discussion, and modeling predicted practice use in the next therapy session. No therapist characteristics predicted practice use, but therapist sex and age moderated the supervision and practice use relation. Supervision involving discussion predicted practice use for male therapists only, and modeling and role-play in supervision predicted practice use for older, not younger, therapists.

This study explores the content of consultation provided to clinic supervisors within the context of a statewide training program in an evidence-based practice. Minute-to-minute live coding of consultation calls with clinic supervisors was conducted in order to identify the content and distribution of call topics. Results indicated that approximately half of the total speaking time was spent on a range of clinically relevant topics (e.g., cognitive-behavioral therapy techniques, fidelity to the treatment protocols). The remaining time was spent on program administration and CBT-related supervisory issues. This pilot study has broad implications for structuring the content of consultation process in large-scale dissemination efforts involving multiple portions of the clinical workforce.

Adolescent depression is a prevalent and disabling condition resulting in emotional suffering and social and educational dysfunction. Care for adolescent depression is suboptimal and could be improved through the development and use of quality indicators (QIs). This article reports on the development of a care pathway and QIs for the primary and specialty care management of adolescent depression from case identification through symptom remission. It presents evidence from a review of adolescent clinical practice guidelines and research literature to support QIs at critical nodes in the pathway, and describes implications for practice based on existing evidence. Barriers to measure development are identified, including gaps in empirical evidence, and a research agenda is suggested.

BACKGROUND: To investigate the effects of booster sessions in cognitive behavioral therapy (CBT) for children and adolescents with mood or anxiety disorders, whereas controlling for youth demographics (e.g., gender, age), primary diagnosis, and intervention characteristics (e.g., treatment modality, number of sessions). METHODS: Electronic databases were searched for CBT interventions for youth with mood and anxiety disorders. Fifty-three (k = 53) studies investigating 1,937 youth met criteria for inclusion. Booster sessions were examined using two case-controlled effect sizes: pre-post and pre-follow-up (6 months) effect sizes and employing weighted least squares (WLSs) regressions. RESULTS: Meta-analyses found pre-post studies with booster sessions had a larger effect size r = .58 (k = 15; 95% CI = 0.52-0.65; P < .01) than those without booster sessions r = .45 (k = 38; 95% CI = 0.41-0.49; P < .001). In the WLS regression analyses, controlling for demographic factors, primary diagnosis, and intervention characteristics, studies with booster sessions showed larger pre-post effect sizes than those without booster sessions (B = 0.13, P < .10). Similarly, pre-follow-up studies with booster sessions showed a larger effect size r = .64 (k = 10; 95% CI = 0.57-0.70; P < .10) than those without booster sessions r = .48 (k = 20; 95% CI = 0.42-0.53; P < .01). Also, in the WLS regression analyses, pre-follow-up studies showed larger effect sizes than those without booster sessions (B = 0.08, P < .01) after accounting for all control variables. CONCLUSIONS: Result suggests that CBT interventions with booster sessions are more effective and the effect is more sustainable for youth managing mood or anxiety disorders than CBT interventions without booster sessions.

CONTEXT: In response to national efforts to improve quality of care, policymakers and health care leaders have increasingly turned to quality improvement collaboratives (QICs) as an efficient approach to improving provider practices and patient outcomes through the dissemination of evidence-based practices. This article presents findings from a systematic review of the literature on QICs, focusing on the identification of common components of QICs in health care and exploring, when possible, relations between QIC components and outcomes at the patient or provider level. METHODS: A systematic search of five major health care databases generated 294 unique articles, twenty-four of which met our criteria for inclusion in our final analysis. These articles pertained to either randomized controlled trials or quasi-experimental studies with comparison groups, and they reported the findings from twenty different studies of QICs in health care. We coded the articles to identify the components reported for each collaborative. FINDINGS: We found fourteen crosscutting components as common ingredients in health care QICs (e.g., in-person learning sessions, phone meetings, data reporting, leadership involvement, and training in QI methods). The collaboratives reported included, on average, six to seven of these components. The most common were in-person learning sessions, plan-do-study-act (PDSA) cycles, multidisciplinary QI teams, and data collection for QI. The outcomes data from these studies indicate the greatest impact of QICs at the provider level; patient-level findings were less robust. CONCLUSIONS: Reporting on specific components of the collaborative was imprecise across articles, rendering it impossible to identify active QIC ingredients linked to improved care. Although QICs appear to have some promise in improving the process of care, there is great need for further controlled research examining the core components of these collaboratives related to patient- and provider-level outcomes.

OBJECTIVE: Although schools are identified as critical for detecting youth mental disorders, little is known about whether the number of mental health providers and types of resources that they offer influence student mental health service use. Such information could inform the development and allocation of appropriate school-based resources to increase service use. This article examines associations of school resources with past-year mental health service use among students with 12-month DSM-IV mental disorders. METHOD: Data come from the U.S. National Comorbidity Survey Adolescent Supplement (NCS-A), a national survey of adolescent mental health that included 4,445 adolescent-parent pairs in 227 schools in which principals and mental health coordinators completed surveys about school resources and policies for addressing student emotional problems. Adolescents and parents completed the Composite International Diagnostic Interview and reported mental health service use across multiple sectors. Multilevel multivariate regression was used to examine associations of school mental health resources and individual-level service use. RESULTS: Nearly half (45.3%) of adolescents with a 12-month DSM-IV disorder received past-year mental health services. Substantial variation existed in school resources. Increased school engagement in early identification was significantly associated with mental health service use for adolescents with mild/moderate mental and behavior disorders. The ratio of students to mental health providers was not associated with overall service use, but was associated with sector of service use. CONCLUSIONS: School mental health resources, particularly those related to early identification, may facilitate mental health service use and may influence sector of service use for youths with DSM disorders.