Whose Outcomes Come Out? Patterns of Caregiver- and Youth-reported Outcomes Based on Caregiver-youth Baseline Discrepancies.

OBJECTIVE: Discrepancies between caregiver and youth reports of emotional and behavioral symptoms are well-documented, with cross-informant correlations often falling in the low to moderate range. Studies have shown that caregiver-youth (dis)agreement in reporting of youth symptoms is related to treatment outcomes. However, commonly used methods for exploring reporter discrepancies (e.g., difference scores) are limited by their inability to assess discrepancies across multiple symptom domains simultaneously, and thus these previous findings do not explore multiple patterns of (dis)agreement. METHOD: We used latent profile analysis (LPA) to identify subgroups of clinically referred youths based on patterns of caregiver- and youth-reported internalizing and externalizing symptoms for 174 caregiver-youth dyads. Longitudinal multilevel models were used to examine changes in weekly caregiver- and youth-reported internalizing symptoms, externalizing symptoms, and top problems for identified subgroups. RESULTS: The LPA identified four latent subgroups: (a) Caregiver Internalizing (9%), (b) Caregiver Internalizing-Externalizing (45%), (c) Youth Internalizing (7%), and (d) Caregiver-Youth Internalizing-Externalizing (39%). Clinical outcomes varied across informants and subgroups. Significant improvements in caregiver- and youth-reported outcome measures were documented within the Caregiver Internalizing, Caregiver Internalizing-Externalizing, and Caregiver-Youth Internalizing-Externalizing subgroups. However, only youth-reported improvements were detected in the Youth Internalizing subgroup. The results show differences in treatment outcomes across caregiver-youth informant subgroups. CONCLUSIONS: These findings suggest how youth and caregiver baseline data could provide guidance for clinicians in interpreting discrepant reporting and its relevance to change during treatment.

Evaluating a Modular Approach to Therapy for Children With Anxiety, Depression, Trauma, or Conduct Problems (MATCH) in School-Based Mental Health Care: Study Protocol for a Randomized Controlled Trial.

Introduction: Schools have become a primary setting for providing mental health care to youths in the U.S. School-based interventions have proliferated, but their effects on mental health and academic outcomes remain understudied. In this study we will implement and evaluate the effects of a flexible multidiagnostic treatment called Modular Approach to Therapy for Children with Anxiety, Depression, Trauma, or Conduct Problems (MATCH) on students' mental health and academic outcomes. Methods and Analysis: This is an assessor-blind randomized controlled effectiveness trial conducted across five school districts. School clinicians are randomized to either MATCH or usual care (UC) treatment conditions. The target sample includes 168 youths (ages 7-14) referred for mental health services and presenting with elevated symptoms of anxiety, depression, trauma, and/or conduct problems. Clinicians randomly assigned to MATCH or UC treat the youths who are assigned to them through normal school referral procedures. The project will evaluate the effectiveness of MATCH compared to UC on youths' mental health and school related outcomes and assess whether changes in school outcomes are mediated by changes in youth mental health. Ethics and Dissemination: This study was approved by the Harvard University Institutional Review Board (IRB14-3365). We plan to publish the findings in peer-reviewed journals and present them at academic conferences. Clinical Trial Registration: ClinicalTrials.gov ID: NCT02877875. Registered on August 24, 2016.

Assessing the Irritable and Defiant Dimensions of Youth Oppositional Behavior Using CBCL and YSR Items.

Research suggests that irritability and defiance are distinct dimensions of youth oppositionality that are differentially associated with internalizing and conduct problems, respectively. Because much of this evidence has emerged with limited psychometric evaluation, we conducted the first multi-informant examination of selected Child Behavior Checklist (CBCL) and Youth Self Report (YSR) items for measuring irritability and defiance in a large clinical sample. Clinically referred youths (N = 1,030; ages 6-15; 43% female, 42% ethnic minority) were assessed prior to treatment using multi-informant rating scales and diagnostic interviews. Analyses examined factor structure, invariance, internal consistency, multi-informant patterns, and convergent, discriminant, and criterion validity with internalizing and externalizing problems/disorders. A correlated 2-factor model of irritability (stubborn/sullen/irritable, mood, temper) and defiance (argues, disobeys-home, disobeys-school) fit well for both informants. Adequate measurement invariance and scale consistency was consistently found for parent-report but not youth-report. With both informants, all hypothesized convergent and discriminant validity associations were supported: irritability and defiance with internalizing and conduct scales, respectively. However, hypothesized criterion validity associations were largely found only by parent-report: irritability with anxiety and depressive disorders, defiance with conduct disorder, and both with oppositional defiant disorder. Results consistently supported the reliability and validity of the CBCL irritability and defiance scales, with somewhat less consistent support for the YSR scales. Thus, CBCL items may provide psychometrically sound assessment of irritability and defiance, whereas further research is needed to advance youth-report and multi-informant strategies. Results also provide further support for a two subdimension model of oppositional defiant disorder symptoms that includes irritability and defiance.

Who Benefits from Community Mental Health Care? Using Latent Profile Analysis to Identify Differential Treatment Outcomes for Youth.

Treatment effectiveness has been shown to vary across subgroups of youth based on characteristics such as comorbidity, problem severity, gender, and age. The current study aims to explore if subgroups of youth, identified by applying latent profile analysis to parent-reported symptoms, age, and gender, are better served by specific usual care services. Archival data from a community mental health center were utilized, including parent-reports of symptoms for 953 youth (44.4% female; ages 4-18) across multiple time-points, and services received. Latent profile analysis identified five subgroups including Low Risk, High Risk, Internalizing, Externalizing, and Delinquent/Depressed. The relationship between the intensity level of services and symptoms varied across subgroups. Specifically, high intensity services were related to a greater reduction in symptoms for the Internalizing, Externalizing, and High Risk subgroups. Implications for future developmental research and clinical applications are discussed.

Grouping Youth With Similar Symptoms: A Person-Centered Approach to Transdiagnostic Subgroups.

OBJECTIVES: The present study extracted symptom profiles based on parent and youth report on a broad symptom checklist. Profiles based on parent-reported symptoms were compared to those based on adolescent self-report to clarify discrepancies. METHOD: The current study used archival data from 1,269 youth and parent dyads whose youth received services at a community mental health center. The mean age of the sample was 14.31 years (standard deviation = 1.98), and the youth sample was half male (50.1%) and primarily Caucasian (86.8%). Latent profile analysis was used to extract models based on parent and self-reported emotional and behavioral problems. RESULTS: Results indicated that a 5-class solution was the best fitting model for youth-reported symptoms and an adequate fit for parent-reported symptoms. For 46.5% of the sample, class membership matched for both parent and youth. CONCLUSION: Latent profile analysis provides an alternative method for exploring transdiagnostic subgroups within clinic-referred samples.