Internet-Based Acceptance and Commitment Therapy: A Transdiagnostic Systematic Review and Meta-Analysis for Mental Health Outcomes

Internet-based acceptance and commitment therapy (iACT) primarily targets the process of psychological flexibility. Its accessibility and low-intensity delivery are applicable across different treatment and prevention scenarios. This transdiagnostic meta-analysis reviews the effectiveness of iACT on anxiety, depression, quality of life, and psychological flexibility across individuals with different psychological and somatic conditions/complaints, or undiagnosed complaints. Seven databases were searched for randomized controlled trials that reported on anxiety, depression, quality of life, and psychological flexibility outcomes from iACT in any adult population. Engagement with iACT was summarized and methodological and population-related variables were investigated as potential moderators of effectiveness. Across 25 studies, small pooled effects were found for all outcomes at post-assessment and maintained at follow-up time-points. Interventions with therapist guidance demonstrated greater effectiveness in improving depression and psychological flexibility outcomes compared to nonguided iACT, and populations defined by a psychological condition or symptoms (e.g., depressed samples) demonstrated greater improvements in anxiety compared to nonclinical or somatic populations (e.g., chronic pain samples or students). Participants completed on average 75.77% of iACT treatments. While we found iACT to be effective in improving and maintaining mental health outcomes across diverse populations, there was limited evidence of reliable, clinically significant effects. PROSPERO registration number: CRD42020140086.     

Defining the Assessment and Treatment Competencies to Deliver Low-Intensity Cognitive Behavior Therapy: A Multi-Center Validation Study

Despite the vastly increased dissemination of the low-intensity (LI) version of cognitive behavior therapy (CBT) for the treatment of anxiety and depression, no valid and reliable indices of the LI-CBT clinical competencies currently exist. This research therefore sought to develop and evaluate two measures: the low-intensity assessment competency scale (LIAC) and the low-intensity treatment competency scale (LITC). Inductive and deductive methods were used to construct the competency scales and detailed rating manuals were prepared. Two studies were then completed. The first study used a quantitative, fully-crossed design and the second a multi-center, quantitative longitudinal design. In study one, novice, qualified, and expert LI-CBT practitioners rated an LI-CBT assessment session (using the LIAC) and an LI-CBT treatment session (using the LITC). Study two used the LIAC and LITC across four training sites to analyze the competencies of LI-CBT practitioners over time, across raters, and in relation to the actor/patients’ feedback concerning helpfulness, the alliance, and willingness to return. Both the LIAC and LITC were found to be single factor scales with good internal, test-retest reliability and reasonable inter-rater reliability. Both measures were sensitive to measuring change in clinical competence. The LIAC had good concurrent, criterion, discriminant, and predictive validity, while the LITC had good concurrent, criterion, and predictive validity, but limited discriminant validity. A score of 18 accurately delineated a minimum level of competence in LI-CBT assessment and treatment practice, with incompetent practice associated with patient disengagement. These observational ratings scales can contribute to the clinical governance of the burgeoning use of LI-CBT interventions for anxiety and depression in routine services and also in the methods of controlled studies.     

Cognitive and Behavioural Attention in Children with Low-Moderate and Heavy Doses of Prenatal Alcohol Exposure: a Systematic Review and Meta-analysis

Neuropsychology Review - Attention problems are thought to be a hallmark feature of prenatal alcohol exposure (PAE). Despite decades of research however, these findings have never been pooled to...     

Interpersonal Psychotherapy—Adolescent Skills Training With Youth From Asian American and Immigrant Families: Cultural Considerations and Intervention Process

Although research has identified effective evidence-based depression prevention interventions for diverse youth, little is known about how the intervention process unfolds with immigrant family youth. This study utilized a qualitative approach to explore cultural and clinical differences in the implementation of Interpersonal Psychotherapy–Adolescent Skills Training (IPT-AST) in two schools, one serving youth from primarily immigrant, Asian American families and the second, youth from mostly nonimmigrant, non-Hispanic White families. A total of 131 IPT–AST sessions were audio recorded, transcribed, and coded for presence and patterns of cultural and clinical constructs. Results revealed that sessions with immigrant family youth were more likely to contain discussions of interpersonal problems characterized by estrangement, goals of spending time together with important others, mentions of emotion suppression and academic achievement expectations, conversations about acculturation, differences in value orientation, and discomfort with implementing new intervention skills. Dialogue from interventionist and youth exchanges is presented to illustrate how these themes emerged and were addressed by interventionists in a culturally responsive manner. The study highlights how IPT–AST with immigrant family and Asian American youth may unfold differently compared to youth from nonimmigrant families. Implications of findings for providers are discussed.     

Social competence in early childhood: An empirical validation of the SOCIAL model

Social skills are the basis of human interactions and functioning in society. Social competence (SC) is thought to evolve gradually during childhood and adolescence via the interplay of multiple factors. In particular, the early years of life are marked by the emergence of basic social abilities and constitute the foundation for successful social development. The biopsychosocial SOcio-Cognitive Integration of Abilities modeL (SOCIAL) posits that internal (child-based), external (environment), and cognitive factors are critical to SC in the context of normal brain maturation; but this has yet to be shown empirically and comprehensively. This study tested the SOCIAL model in a sample of typically developing preschool children. Parents of 103 children (M = 67.59 months, SD = 11.65) completed questionnaires and children underwent neuropsychological assessment of executive functioning (EF), communication skills and social cognition. Three-step hierarchical regression analyses (1) Internal factors, 2) External factors, 3) Cognitive factors) confirmed that each step of the regression model significantly predicted SC. In the final model, general cognitive and socio-cognitive factors significantly predicted SC above and beyond internal and external factors: children with lower temperamental negative affect and less parent-reported executive dysfunction, as well as better non-verbal communication and theory of mind had better SC. Our findings support the conceptual SOCIAL model, and highlight the importance of internal, external, and cognitive factors for SC in the preschool years. Identification of factors associated with early social development can inform both normative and clinical approaches to identifying intervention loci and optimizing SC in those at risk for maladaptive social functioning.     

A systematic review of the effectiveness of machine learning for predicting psychosocial outcomes in acquired brain injury: Which algorithms are used and why?

Clinicians working in the field of acquired brain injury (ABI, an injury to the brain sustained after birth) are challenged to develop suitable care pathways for an individual client’s needs. Being able to predict psychosocial outcomes after ABI would enable clinicians and service providers to make advance decisions and better tailor care plans. Machine learning (ML, a predictive method from the field of artificial intelligence) is increasingly used for predicting ABI outcomes. This review aimed to examine the efficacy of using ML to make psychosocial predictions in ABI, evaluate the methodological quality of studies, and understand researchers’ rationale for their choice of ML algorithms. Nine studies were reviewed from five databases, predicting a range of psychosocial outcomes from stroke, traumatic brain injury, and concussion. Eleven types of ML were employed with a total of 75 ML models. Every model was evaluated as having high risk of bias, unable to provide adequate evidence for predictive performance due to poor methodological quality. Overall, there was limited rationale for the choice of ML algorithms and poor evaluation of the methodological limitations by study authors. Considerations for overcoming methodological shortcomings are discussed, along with suggestions for assessing the suitability of data and suitability of ML algorithms for different ABI research questions.     

Representations and narratives during pregnancy

In this paper, we explore how maternal representations, and in particular their contents, are structured during pregnancy. Twenty-three primiparous women were recruited for participation in a longitudinal study about mothers' thoughts and feelings about their infants. A semistructured interview was conducted with each of the subjects in the third trimester of pregnancy. During the interview, subjects were also given five adjective lists based on the semantic differential model. Results from this sample indicate similarities in the content-free aspects of representations of self and baby, but differences in the content of these presentations. Implications of these results are discussed with regard to the construction of an internal representation of the child in the third trimester of pregnancy.     

The Nature of Client Agency Prior to Therapy: A Qualitative Study on Clients’ Narratives

Client agency is considered a crucial contributor to good treatment outcome. Recent studies, however, differ strongly in how they conceptualise and investigate agency. The current study explores the nature of client agency in ten clients’ pre-treatment interviews. Applying Consensual Qualitative Research, we constructed three overarching categories, subdivided into 14 sub-categories capturing both between- and within-person differences in agency before therapy. We found that all participants oscillated between the experience of a lack of grip on problems on the one hand and noticing their involvement in the problem and taking action on the other. These results present a dynamic conceptualisation of client agency. This allows us to ask pertinent questions for both future research and clinical practice.