The effect of the two-chair dialogue intervention on self-compassion - adding an emotional evocative component to a basic Rogerian condition

Objective

How people relate to themselves when facing distress or failure influences general psychological well-being and vulnerability to psychological disorders. The aim of the present study was to explore the effect of an emotionally evocative intervention on self-compassion.

Methods

The data were retrieved from a larger study of Emotion-Focused Therapy (EFT) utilising a multiple baseline design comparing two treatment phases. The baseline phase consisted of 5, 7 or 9 therapy sessions where the therapist solely adhered to Rogerian relational conditions, as prescribed in EFT. A two-chair dialogue intervention was then added for five sessions. The sample consisted of 18 self-critical clients with clinically significant symptoms of depression and/or anxiety. The “Self-Compassion Scale” (SCS) was administered pre, mid and post therapy.

Results

The baseline phase did not lead to significant changes in self-compassion. However, the addition of the two-chair dialogue was associated with a significant increase in self-compassion. This increase was due to reductions in the negative subscales, especially the isolation subscale.

Conclusion

The emotionally evocative two-chair dialogue was associated with a significant change in self-to-self relating, compared to relational conditions alone. The two-chair dialogue, thus, seems to be a promising intervention for promoting healthier self-to-self relating.     

Modified Comprehensive Behavioral Intervention for Tics: Treating Children With Tic Disorders,Co-Occurring ADHD,and Psychosocial Impairment

Our objective was to evaluate the feasibility and acceptability, and preliminary efficacy of a modified comprehensive behavioral intervention for tics (MCBIT) therapy for youth with chronic tic disorders (CTDs), co-occurring attention-deficit hyperactivity disorder (ADHD), and associated psychosocial impairment. Seventeen youth ages 10–17 with CTD and co-occurring ADHD were randomly assigned to the MCBIT group (n = 9) or to a control group where they received traditional comprehensive behavioral intervention for tics (CBIT) therapy (n = 8). Both groups received ten 55-minute weekly treatment sessions, and two 55-minute biweekly relapse prevention sessions. Sixteen of the 17 participants completed the study, and acceptability ratings in both treatment groups were high with no significant differences in expectation of improvement. The MCBIT and CBIT groups in combination showed significant improvement in tic severity, ADHD symptom severity, and tic-related impairment. Group differences were not significant. The results indicate that MCBIT treatment is feasible and acceptable for youth with CTD and ADHD, and is similarly well tolerated relative to traditional CBIT. Results were not sufficiently superior to recommend MCBIT over CBIT for this population. However, given the demonstrated benefit of behavioral treatments that target co-occurring conditions concurrently, continuing to examine novel behavioral approaches that can target tics and related conditions simultaneously and successfully is recommended.     

Examining Influences on Problem Recognition and Help-Seeking for Child Externalizing Behaviors Among African American Mothers

Childhood behavior problems are one of the most common clinical referrals. If left untreated, these behaviors can result in detrimental consequences to the child’s development (Wehmeier et al., 2010; Scholtens et al., 2012). Behavior parent training has been identified as first-line treatment for oppositional behavior; however, many racial minority families fail to enroll in behavior parent training. The current study examines maternal help-seeking for children displaying oppositional behavior in hopes to delineate variables that might influence parent training enrollment among African American families. Participants were 112 African American mothers who were provided child behavior vignettes and completed measures assessing factors related to problem recognition, parental attributions, child rearing values, mental health stigmatization, racial identity, and treatment utilization. Results found that when presented with a child displaying clinically significant externalizing child behaviors, slightly more than half of African American mothers recognized clinically significant child behavior problems. Mothers were more likely to engage in behavioral parent training if problematic behavior was recognized. Additionally, mothers’ attributions of child behavior, cultural values, and mental health stigmatization were influential to help seeking. This study supports the importance of considering cultural variables that impact problem recognition and subsequent treatment utilization among African American families.     

Behavioral Activation Disseminated by Non–Mental Health Professionals,Paraprofessionals, and Peers: A Systematic Review

There is a striking disparity between the number of individuals with significant mental health concerns and those who are able to access care globally. One promising solution to expanding the mental health taskforce is task-sharing, or employing nonspecialists in the delivery of evidence-based interventions. Behavioral activation (BA), a brief intervention that focuses on scheduling rewarding activities into one’s daily life, may have promise for delivery using task-sharing approaches due to its straightforward, flexible nature. The aim of this systematic review was to examine the current state of the literature on non-specialist-delivered BA and evaluate the evidence base of this approach. Three databases (Pubmed, PsycInfo, and Cochrane) were searched, and all articles were screened for inclusion criteria by two research assistants, included the review of titles, abstracts, and full-text. The final dataset consisted of 13 research studies, represented through 15 articles. A meta-analysis was conducted to examine the overall pooled effects of peer-delivered BA on depressive symptoms (the most widely examined clinical outcome). Studies reported on effectiveness and implementation outcomes of non-specialist-delivered BA for depression, substance use, loneliness, trauma survivors, and individuals with comorbid physical health conditions. Results provide initial support for the effectiveness of BA utilizing a task-sharing approach, and highlight the feasibility and acceptability of using nonspecialists to deliver BA in a variety of contexts, including low-resource settings.     

Effect of Daily Life Reward Loop Functioning on the Course of Depression

Engagement in activities increases positive affect (Reward Path 1), which subsequently reinforces motivation (Reward Path 2), and hence future engagement in activities (Reward Path 3). Strong connections between these three reward loop components are considered adaptive, and might be disturbed in depression. Although some ecological nomentary assessment (EMA) studies have investigated the cross-sectional association between separate reward paths and individuals’ level of depression, no EMA study has looked into the association between individuals’ reward loop strength and depressive symptom course. The present EMA study assessed reward loop functioning (5x/day, 28 days) of 46 outpatients starting depression treatment at secondary mental health services and monitored with the Inventory of Depressive Symptomatology—Self-Report (IDS-SR) during a 7-month period. Results of multilevel regression analyses showed significant within-person associations for Reward Path 1 (b = 0.21, p < .001), Reward Path 2 (b = 0.43, p < .001), and Reward Path 3 (b = 0.20, p < .001). Stronger average reward loops (i.e., within-person mean of all reward paths) did not relate to participants’ improvement in depressive symptoms over time. Path-specific results revealed that Reward Paths 1 and 2 may have partly opposite effects on depressive symptom course. Together, our findings suggest that reward processes in daily life might be best studied separately and that further investigation is warranted to explore under what circumstances strong paths are adaptive or not.     

Making Lemonade out of Lemons: Dialectical Behavior Therapy via Telehealth During a Pandemic

The COVID-19 pandemic has created a burden on healthcare systems and increased demand for mental healthcare at a time when in-person services are limited. Many programs offering dialectical behavior therapy (DBT) for complex clients have pivoted to telehealth in order to increase access to critical mental healthcare. There is, however, limited research on the provision of telehealth treatment for clients with complex psychopathology more broadly, or the telehealth implementation of DBT more specifically. The aim of this study was to examine the use of telehealth services and related clinician attitudes and experiences in the context of DBT. We examined the degree of telehealth platform adoption among DBT clinicians, as well as changes in stress and self-care strategies. A supplemental aim was to gather clinicians’ recommendations for providing DBT via telehealth. Participants included N = 99 DBT practitioners (79.8% female; 20.2% male). Qualitative and quantitative methods were used for data analysis. Findings show that telehealth DBT has been widely adopted among DBT clinicians, and that clinicians’ attitudes to telehealth DBT are cautiously optimistic. Participants described three main areas of stress associated with DBT via telehealth provision, as well as lost and novel self-care strategies.     

Treating Young Adult Depression With Text-Delivered Cognitive Behavioral Therapy: A Pilot Randomized Clinical Trial

Young adults (ages 18 to 25) in the U.S. suffer from the highest rates of past-year major depressive episode and are the least likely to receive treatment compared to other age groups. As such, we examined the feasibility, acceptability, and efficacy of a text-message delivered cognitive behavioral therapy: CBT-txt with young adults. The study was a 2-month pilot RCT to test a 4-week intervention for depression that contained 197 text messages (average 12 texts every other day). The sample, recruited via Facebook and Instagram, was 102 U.S. young adults who presented with at least moderate depressive symptomatology. Assessments occurred at baseline prior to randomization and at 1 and 2 months post enrollment. The primary outcome, severity of depressive symptoms, was assessed using the Beck Depression Inventory II. Feasibility benchmarks were met and participants reported high levels of engagement with and acceptability of the intervention. Logistic regression indicated that treatment participants were three times as likely to have minimal or mild depression symptoms at 2 months compared to waitlist control participants. Latent change score modeling found that the strongest significant treatment effect appeared at the 1-month follow-up period, particularly for participants who began with severe depressive symptoms. Mediation analysis revealed significant indirect treatment effects of increases in behavioral activation on reducing depressive symptoms, suggesting a mechanism of change. Limitations were that the sample was relatively small and consisted of primarily women. These results provide initial evidence for the feasibility, acceptability, and efficacy of a text-delivered treatment for young adult depression.     

Extending exploratory diagnostic classification models: Inferring the effect of covariates

Diagnostic models provide a statistical framework for designing formative assessments by classifying student knowledge profiles according to a collection of fine-grained attributes. The context and ecosystem in which students learn may play an important role in skill mastery, and it is therefore important to develop methods for incorporating student covariates into diagnostic models. Including covariates may provide researchers and practitioners with the ability to evaluate novel interventions or understand the role of background knowledge in attribute mastery. Existing research is designed to include covariates in confirmatory diagnostic models, which are also known as restricted latent class models. We propose new methods for including covariates in exploratory RLCMs that jointly infer the latent structure and evaluate the role of covariates on performance and skill mastery. We present a novel Bayesian formulation and report a Markov chain Monte Carlo algorithm using a Metropolis-within-Gibbs algorithm for approximating the model parameter posterior distribution. We report Monte Carlo simulation evidence regarding the accuracy of our new methods and present results from an application that examines the role of student background knowledge on the mastery of a probability data set.