Reliable Change and Outcome Trajectories Across Levels of Care in a Mental Health System for Youth

Higher treatment focus diffusion in Multisystemic Therapy is associated with less functional improvement over the course of treatment

PURPOSE

Treatment focus diffusion (TFD), dividing focus across multiple concerns during treatment, is common in public mental health care and differs from the more narrowly focused empirically supported treatments for youth reported in the literature. The present study examined whether and to what extent TFD is associated with youth functional improvement over the course of therapy.

METHOD

This study utilized multi-level modeling techniques to analyze 12 consecutive years of standardized routine clinical service data from youth receiving treatment in one of two intensive in-home service settings: (a) Multisystemic Therapy (MST; n = 776 youths, 99 therapists), an implemented evidence-based treatment based on ecological theories of behavior in which therapists work with the multiple systems a youth interacts with (school, community, family), and (b) a standards-based service (n = 1854 youth, 413 therapists). Both service settings operate in the context of a publicly funded mental health care system which serves youth and families who are typically from underserved and low-income backgrounds. Majority of youth in this sample identified as multi-ethnic and male, and they, on average, were approximately 13 years old with three co-occurring diagnoses.

RESULTS

A significant TFD by service format interaction on youth functional improvement (alone and in the overall model) and follow up simple effects indicated that higher TFD was associated with significantly poorer outcomes in MST. The parameter estimate for TFD on functional improvement in the standards-based service format was in the same direction, but not statistically significant.

CONCLUSION

Our findings suggest that maintaining a narrower treatment focus might be beneficial to clients, particularly in implemented evidence-based treatments. Likewise, TFD could be a helpful case monitoring tool for clinicians, supervisors, and systems leaders when reviewing intensive-in-home cases.

Identifying Youth Problem Profiles and Predicting Remission Following Mental Health Treatment

This study utilized latent profile analysis to categorize youth served by a public mental health setting into homogenous classes. Then, associations between class membership and meeting clinical criteria by the latest assessment were examined. Caregiver responses to the Ohio Scales, Short Form, Problem Severity Scale for 1090 youth completed at entry into this public mental health system were subjected to latent profile analysis. This method classifies youth into categories based on mental health problem profiles, in order to determine the degree to which these groupings are related to later mental health outcomes. The classification of youth cases that emerged was then used to predict clinical remission at or nearest end of treatment, including final Ohio Scales Problem Severity scores and a measure of day-to-day functioning, the Child and Adolescent Functional Assessment Scale (CAFAS). A four-class model was identified as best representing the data, reflecting a relatively low-risk class (63.3% of the sample), an internalizing class (23.2%), a delinquency class (8.8%), and a high-risk class (4.7%). Individuals in the internalizing and high-risk classes had lower likelihoods of achieving problem remission than those in the low-risk and delinquency classes at the time of their last completed Ohio Scales. Additionally, youth assigned to the delinquency and high-risk classes had lower likelihoods of reaching functional impairment remission than those in the internalizing and low-risk classes. Youth membership in a class based on initial problem scores can be utilized to predict clinical remission over the course of treatment in public mental health care. Such class-based predictions support other methods of predicting outcomes and can be used by clinicians to develop more informed treatment plans and to adjust treatment based on such classifications.

Practices Derived from the Evidence Base for Depression Predict Disruptive Behavior Progress in Adolescent Community Mental Health Care

Disruptive behavior problems develop along multiple causal pathways and are associated with a wide variety of co-occurring problems, including mood disorders. In usual care, effective treatment practices for youth disruptive behavior might differ from what the efficacy research suggests, given treatment setting and population demographic differences. The current study examined whether practices derived from the evidence base for disruptive behavior and/or depressed mood predicted progress on disruptive behavior problems in an adolescent usual care sample. Monthly clinical data, including therapeutic practices, treatment targets, and progress on selected treatment targets, for 1210 youth ages 13-17 who received intensive in-home services and were treated for disruptive behavior problems were examined utilizing multilevel modeling techniques. Practices derived from the evidence base for only depressed mood and practices derived from both disruptive behavior and depressed mood literatures predicted disruptive behavior progress, while practices derived from only the disruptive behavior evidence-based literature did not. All five practice elements exclusive to depressed mood treatment predicted positive disruptive behavior progress, while two of eleven disruptive behavior practices and four of seven practices derived from both problem areas predicted positive progress. Findings held when other predictors were included as covariates, including youth age and functional impairment. Although directionality remains unclear and further research is vital, usual care settings might present barriers to disruptive behavior treatment as prescribed by the evidence base, and youth-focused treatments based on depressed mood treatments merit further examination as a potentially promising route to effective treatment in such settings.

Systematic Review and Meta-analysis: Outcomes of Routine Specialist Mental Health Care for Young People With Depression and/or Anxiety

OBJECTIVE

Depression and anxiety are the most prevalent mental health problems in youth, yet almost nothing is known about what outcomes are to be expected at the individual level following routine treatment. This paper sets out to address this gap by undertaking a systematic review of outcomes following treatment as usual (TAU) with a particular focus on individual-level outcomes.

METHOD

MEDLINE, Embase and PsycInfo were searched for articles published between 1980 and January 2019 that assessed TAU outcomes for youth depression and anxiety accessing specialist mental health care. Meta-analysis considered change at both group-level pre-post effect size (ES) and individual-level recovery, reliable change, and reliable recovery. Temporal analysis considered stability of primary and secondary outcomes over time. Subgroup analysis considered the moderating effect of informant; presenting problem; study design; study year; mean age of youth; use of medication; intervention dosage and type of treatment offered on outcomes. A protocol was preregistered on PROSPERO (CRD42017063914).

RESULTS

Initial screening of 6,350 publications resulted in 38 that met the inclusion criteria, and that were subsequently included in meta-analyses. This resulted in a final full pooled sample of 11,739 young people (61% of whom were female, mean age 13.8 years). The pre-post ES (Hedges' g) at first/final outcome (13/26 weeks) was -0.74/-0.87. The individual-level change on measures of self-report was 38% reliable improvement, 44% no reliable change, and 6% reliable deterioration. Outcomes varied according to moderators, informant, problem type and dosage.

CONCLUSION

Poor data quantity and quality are limitations, but this is the first study that indicates likely rates of reliable improvement for those accessing TAU. We propose the need for improved reporting of both individual-level metrics and details of TAU to enable greater understanding of likely current outcomes from routine care for youths with depression and anxiety in order to allow the potential for further improvement of impact.

Trajectories of change of youth depressive symptoms in routine care: shape, predictors, and service-use implications

Depression is one of the main reasons for youth accessing mental health services, yet we know little about how symptoms change once youth are in routine care. This study used multilevel modeling to examine the average trajectory of change and the factors associated with change in depressive symptoms in a large sample of youth seen in routine mental health care services in England. Participants were 2336 youth aged 8-18 (mean age 14.52; 77% females; 88% white ethnic background) who tracked depressive symptoms over a period of up to 32 weeks while in contact with mental health services. Explanatory variables were age, gender, whether the case was closed, total length of contact with services, and baseline severity in depression scores. Faster rates of improvement were found in older adolescents, males, those with shorter time in contact with services, closed cases, and those with more severe symptoms at baseline. This study demonstrates that when youth self-report their depressive symptoms during psychotherapy, symptoms decrease in a linear trajectory. Attention should be paid to younger people, females, and those with lower than average baseline scores, as their symptoms decrease at a slower pace compared to others.

Disruptive Behavior Treatment Progress as a Function of Therapy Focus and Youth Diagnosis in a Community Mental Health Setting

Monthly disruptive behavior treatment progress for 613 youth ages 7-18 receiving intensive in-home services was examined. Multilevel modeling indicated carrying a depressive mood diagnosis predicted less disruptive behavior progress compared to youth with only externalizing diagnoses. Paradoxically, more monthly focus on disruptive behavior treatment targets predicted lower concurrent progress ratings, while greater focus on depressive mood targets predicted greater disruptive behavior progress for youth with a depressive mood diagnosis. Findings held when other predictors of disruptive behavior progress were included as covariates, including episode length, youth age, and functional impairment. Treatment and research implications are discussed.