Trajectories and predictors of response in youth anxiety CBT: Integrative data analysis.

OBJECTIVE: Integrative data analysis was used to combine existing data from nine trials of cognitive-behavioral therapy (CBT) for anxious youth (N = 832) and identify trajectories of symptom change and predictors of trajectories. METHOD: Youth- and parent-reported anxiety symptoms were combined using item-response theory models. Growth mixture modeling assessed for trajectories of treatment response across pre-, mid-, and posttreatment and 1-year follow-up. Pretreatment client demographic and clinical traits and treatment modality (individual- and family-based CBT) were examined as predictors of trajectory classes. RESULTS: Growth mixture modeling supported three trajectory classes based on parent-reported symptoms: steady responders, rapid responders, and delayed improvement. A 4-class model was supported for youth-reported symptoms: steady responders, rapid responders, delayed improvement, and low-symptom responders. Delayed improvement classes were predicted by higher number of diagnoses (parent and youth report). Receiving family CBT predicted membership in the delayed improvement class compared to all other classes and membership in the steady responder class compared with rapid responders (youth report). Rapid responders were predicted by older age (parent report) and higher number of diagnoses (parent report). Low-symptom responders were more likely to be male (youth report). CONCLUSIONS: Integrative data analysis identified distinct patterns of symptom change. Diagnostic complexity, age, gender, and treatment modality differentiated response classes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Community-academic partnerships in implementation research.

Community-academic partnerships(CAPs) are a critical component of implementing and sustaining evidence-based practices (EBPs) in community settings; however, the approaches used and mechanisms of change within CAPs have not been rigorously studied. The first step to advancing the science of CAP is to operationally define and contextualize the approaches used in CAP as part of the implementation process. Our research group has gleaned valuable lessons about the best ways to develop, support, and nurture community partnerships within the context of implementation. In this article, we share these lessons learned and relate them to implementation strategies that are most relevant to community-partnered implementation endeavors. The implementation strategies most relevant to CAPs are as follows: (a) building a coalition, (b) conducting local consensus discussions, (c) identifying barriers and facilitators to implementation, (d) facilitating interactive problem solving, (e) using an advisory board or workgroup, (f) tailoring strategies, (g) promoting adaptability, and (h) auditing and providing feedback. We offer suggestions for future research to systematically evaluate these strategies, with an eye toward advancing the science of CAP and implementation science and the goal of guiding future research and improving the implementation of EBPs in community settings.

Transdiagnostic group behavioral activation and exposure therapy for youth anxiety and depression: Initial randomized controlled trial.

Anxiety and depression are debilitating and commonly co-occurring in young adolescents, yet few interventions are designed to treat both disorder classes together. Initial efficacy is presented of a school-based transdiagnostic group behavioral activation therapy (GBAT) that emphasizes anti-avoidance in vivo exposure. Youth (N = 35; ages 12-14; 50.9% male) were randomly assigned to either GBAT (n = 21) or WL (n = 14) after completing a double-gated screening process. Multi-reporter, multi-domain outcomes were assessed at pretreatment, posttreatment, and four-month follow-up (FU). GBAT was associated with greater posttreatment remission rates than WL in principal diagnosis (57.1% vs. 28.6%; X1(2) = 2.76, p = .09) and secondary diagnosis (70.6% vs. 10%; X1(2) = 9.26, p = .003), and greater improvement in Clinical Global Impairment - Severity ratings, B = -1.10 (0.42), p = .01. Symptom outcomes were not significantly different at posttreatment. GBAT produced greater posttreatment behavioral activation (large effect size) and fewer negative thoughts (medium effect), two transdiagnostic processes, both at the trend level. Most outcomes showed linear improvement from pretreatment to FU that did not differ depending on initial condition assignment. Sample size was small, but GBAT is a promising transdiagnostic intervention for youth anxiety and unipolar mood disorders that can feasibly and acceptably be applied in school settings.

Client-therapist alliance discrepancies and outcome in cognitive-behavioral therapy for youth anxiety.

BACKGROUND: Studies exploring the association between alliance and outcome in youth cognitive-behavioral therapy (CBT) have yielded inconsistent results based upon whose perspective is measured. OBJECTIVE: The current study explored the degree to which youth with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, anxiety disorders and their therapists agree in their ratings of the alliance at multiple assessment points and evaluated whether inter-rater discrepancies predicted treatment outcome. METHOD: Youth (N = 62; Mage = 12.43, SD = .76) received empirically supported CBT. Paired samples t tests assessed for significant disagreement between youth- and therapist-rated alliance at sessions 4, 8, and 12. Regression analyses were conducted to evaluate whether discrepancies between raters at each time point predicted posttreatment anxiety symptom scores. RESULTS: Overall, alliance was positive for both child (aged 7-12 years) and adolescent (aged 13-16 years) clients. Discrepancies between youth and therapist ratings of alliance were statistically significant at session 4 for children and session 8 for adolescents, with youth rating the relationship more favorably than therapists. However, rating discrepancies did not predict youth- or parent-reported treatment outcome. CONCLUSIONS: Considerable variability may exist between youth and therapist perspectives on the therapeutic alliance, indicating potential attunement problems, particularly during earlier phases of treatment. However, these discrepancies did not negatively affect treatment response. Implications for alliance research and clinical practice are discussed.

Trajectory and predictors of alliance in cognitive behavioral therapy for youth anxiety.

Multilevel growth analysis was used to establish the shape of change (mean growth trajectory) for youth- and therapist-rated alliance in cognitive behavioral therapy (CBT) for anxious youth and to identify between-youth predictors of alliance trajectory. Youth (N = 69; ages 7-17; 52.2% female) and their parents participated in an empirically supported CBT protocol. Therapists rated alliance each session and youth every four sessions. Data were fit to four growth models: linear, quadratic, a dual slope, and a novel "alliance rupture" model. Two-level models were estimated to examine the effect of youth age, sex, pretreatment symptom severity, diagnostic comorbidity, early treatment factors (use of Selective Serotonin Reuptake Inhibitors), and coping styles (engagement, disengagement, and involuntary coping). A dual slope model fit therapist data best, whereas youth data did not evidence systematic growth. Two-level growth models identified that pretreatment anxiety severity predicted higher initial alliance levels. Depressive symptoms predicted less linear growth and engagement coping predicted greater growth during exposure sessions. No variables predicted preexposure growth. In the therapist model, 22% of initial alliance, 50% of preexposure growth, and 75% of postexposure growth were accounted for by between youth variables (mood disorder, anxiety and depression symptoms, engagement and involuntary coping). Therapist-reported alliance ratings may grow over the course of manual-based CBT, even during exposure-focused sessions. Pretreatment youth factors and coping style may influence the absolute value and linear trajectory of alliance during CBT. Findings about alliance-influencing factors can help set expectations for, and enhance training in, empirically supported treatments.

Cross-ethnic measurement invariance of the SCARED and CES-D in a youth sample.

This study evaluated the cross-ethnic measurement invariance of 2 common screening measures of anxiety and depressive symptoms in youth. The measurement invariance of the Screen for Childhood Anxiety and Related Emotional Disorders (SCARED) and the Center for Epidemiologic Studies Depression Scale (CES-D) was tested across 881 African American (Black; n = 396), Hispanic (n = 185), non-Hispanic White (White; n = 166), and Asian/Indian (n = 134) youth in the 7th grade. The measures were administered as part of a grade-wide screening to identify youth with elevated anxiety and depressive symptoms. The 5-factor model of the SCARED and the 4-factor model of the CES-D best represented the data for all ethnic groups. Results provided support for strong invariance of the SCARED across all 4 ethnic groups. Results provided support for strong invariance of the CES-D across Black, White, and Asian/Indian youth, and partial strong invariance for Hispanic youth. Overall, results suggest that factor means and total scores can be compared across groups. Factor mean differences across groups were identified for both measures. In particular, Hispanic youth reported greater levels of anxiety and depression in certain domains than White, Black, and Asian youth. Our findings support the use of the SCARED and CES-D as tools for measuring anxiety and depressive symptoms in ethnically diverse youth in the United States. Results are discussed with respect to the importance of establishing measurement invariance for screening measures of anxiety and depressive symptoms prior to comparing symptom levels across ethnic groups.

Shape of change in cognitive behavioral therapy for youth anxiety: symptom trajectory and predictors of change.

OBJECTIVE: Multilevel growth analysis was used to establish the mean growth trajectory (shape of change) for cognitive behavioral therapy (CBT) for youth with anxiety disorders. Two-level growth analysis was conducted to identify important between-youth predictors of session-by-session symptom change. METHOD: Fifty-five youth (ages 7-17; 50.9% male) and their parents participated in a 16- to 20-week CBT that emphasized affective, cognitive, and exposure-based exercises. Multilevel growth models (MLMs) were estimated to model session symptom data taking into account an "anxiety spike" hypothesized to occur at initiation of exposure sessions. Three models were compared: a cubic curve, a log-linear curve plus an exposure covariate, and a linear curve plus exposure covariate. Two-level MLM examined the effect of demographic traits (sex, age, race/ethnicity), pretreatment symptom severity, comorbid school refusal, early treatment factors (use of selective serotonin reuptake inhibitor medication, therapeutic alliance, treatment attrition), and pretreatment coping (engagement, disengagement, and involuntary coping). RESULTS: Fit indices provided support for the cubic growth model using either parent or youth anxiety data. Level 2 analysis identified youth age, symptom severity (anxiety, externalizing), early attrition, and engagement and disengagement coping as significant predictors of symptom trajectories. Predictors accounted for 34%-37% of between-youth variance in midtreatment anxiety scores. CONCLUSIONS: Findings suggest that the symptom course of CBT, and the effect of between-youth factors on treatment outcomes, is more complex than previously thought. Educating therapists and clients about findings can aid treatment expectations and dissemination efforts of empirically supported treatments.

Trajectories of behavioral adjustment following early placement in foster care: predicting stability and change over 8 years.

OBJECTIVE: To identify trajectories of behavioral adjustment from age 6 through 14 years for youth placed in early foster care, and to examine links between trajectories and early cognitive ability and social competence, caregiver stability, and frequency, timing, and type of maltreatment. METHOD: Participants were 279 youth from the Southwest site of the Consortium for Longitudinal Studies of Child Abuse and Neglect (LONGSCAN). All youth had spent at least 5 months in out-of-home care before age 4 years because of substantiated reports of maltreatment. Behavioral adjustment was assessed using caregiver reports on the Child Behavior Checklist at ages 6, 8, 10, 12, and 14. Cognitive ability and social competence were assessed at age 6. Caregiver stability was recorded every 2 years from age 6 through 14 years and summed. Child protective services (CPS) maltreatment reports were coded for type and frequency. RESULTS: Growth mixture modeling identified three internalizing trajectories: stable adjustment (66.7%), mixed/decreasing adjustment (25.4%), and increasing adjustment (7.9%). Four externalizing trajectories were identified: stable adjustment (46.6%), mixed adjustment (28.7%), increasing adjustment (8.2%), and stable maladjustment (16.5%). Trajectories of stable or increasing adjustment were predicted by social competence, cognitive ability, placement stability, and low frequency of physical abuse from ages 6 through 14. CONCLUSIONS: Many youth who have spent time in early out-of-home care evidence stable, long-term positive behavioral adjustment. Trajectories reflecting more positive adjustment are associated with early child cognitive ability and social competence, long-term caregiver stability, and low frequency of physical abuse in middle childhood and adolescence.