What does it mean to ‘drop out’ of therapy? Many definitions of ‘dropout’ have been proposed, but the most widely accepted is the client ending treatment without agreement of their therapist. However, this is in some ways an external criterion that does not take into account the client’s experience of therapy, or reasons for ending it prematurely. This study aimed to identify whether there were more meaningful categories of dropout than the existing dropout definition, and to test whether this refined categorization of dropout was associated with clinical outcomes. This mixed-methods study used a subset of data from the IMPACT trial, which investigated psychological therapies for adolescent depression. Adolescents were randomly allocated to a treatment arm (Brief Psychosocial Intervention; Cognitive-Behavioral Therapy; Short-Term Psychoanalytic Psychotherapy). The sample for this study comprised 99 adolescents, aged 11–17 years. Thirty-two were classified as having dropped out of treatment and participated in post-therapy qualitative interviews about their experiences of therapy. For 26 dropout cases, the therapist was also interviewed. Sixty-seven cases classified as having completed treatment were included to compare their outcomes to dropout cases. Interview data for dropout cases were analyzed using ideal type analysis. Three types of dropout were constructed: ‘dissatisfied’ dropout, ‘got-what-they-needed’ dropout, and ‘troubled’ dropout. ‘Dissatisfied’ dropouts reported stopping therapy because they did not find it helpful. ‘Got-what-they-needed’ dropouts reported stopping therapy because they felt they had benefitted from therapy. ‘Troubled’ dropouts reported stopping therapy because of a lack of stability in their lives. The findings indicate the importance of including the perspective of clients in definitions of drop out, as otherwise there is a risk that the heterogeneity of ‘dropout’ cases may mask more meaningful distinctions. Clinicians should be aware of the range of issues experienced by adolescents in treatment that lead to disengagement. Our typology of dropout may provide a framework for clinical decision-making in managing different types of disengagement from treatment.

This study investigated longitudinal relationships between fathers’ involvement, as measured by reading, and child socioemotional behavior between infancy and age 7 in 9,238 intact two-parent families from the U.K. Millennium Cohort Study, a national cohort of British children born between 2000 and 2002. Once a variety of covariates and the potential bidirectional nature of relationships were taken into account, a path model showed that fathers’ involvement with their children in infancy significantly predicted better socioemotional behavior at age 3, although the relationship was not strong. Fathers’ reading with their children between ages 3 and 7 was not significantly associated with child socioemotional behavior, but mothers’ reading with their children at age 3 was significantly associated with improved child socioemotional behavior at ages 3 and 5. Results also suggested that parenting in the 21st-century British context remains fairly gendered. Both mothers and fathers were more likely to engage in physical activities with their sons and artistic activities with their daughters. Fathers’ reading was socially patterned in predicted directions.

The therapeutic alliance predicts dropout from psychological therapy, and ruptures in the therapeutic alliance may also predict dropout, yet there is a dearth of research with adolescents. This study investigated whether markers of rupture-repair in the alliance were indicative of different types of treatment ending in adolescents receiving psychological treatment for depression. Data were from the IMPACT study, a trial investigating the effectiveness of therapies for adolescent depression. Participants were randomly allocated to receive a brief psychosocial intervention, cognitive-behavioral therapy, or short-term psychoanalytic psychotherapy. The sample (N = 35) comprised adolescents who had either completed their treatment (n = 14) or dropped out (n = 21) according to their therapist. Dropout cases were further classified as dissatisfied (n = 14) or got-what-they-needed (n = 7) based on posttherapy interviews with the adolescent and therapist. Selected recordings of therapy sessions were rated using the Rupture Resolution Rating System and Working Alliance Inventory (observer version). Therapeutic alliance and rupture-repair during therapy were similar for completers and got-what-they-needed dropouts, whereas dissatisfied dropouts had poorer therapeutic alliance, more ruptures, ruptures that were frequently unresolved, and greater therapist contribution to ruptures. Qualitative analysis of sessions led to the construction of three categories of therapist contribution to ruptures: therapist minimal response, persisting with a therapeutic activity, and focus on risk. Results suggest that ruptures, especially when unresolved, could be warning signs of disengagement and dropout from therapy. Future research should investigate how ruptures may be effectively identified and resolved in treatment with adolescents. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Objective: Therapy dropout is a common occurrence, especially in adolescence. This study investigated whether dropout could be predicted from a range of child, family, and treatment factors in a sample of adolescents receiving therapy for depression. Method: This study draws on data from 406 participants of the IMPACT study, a randomized controlled trial, investigating three types of therapy in the treatment of adolescent depression. Logistic regression was used to estimate the effects of predictors on the odds of dropout. Results: Few pre-treatment predictors of dropout were found, with the only significant predictors being older age, antisocial behaviour, and lower scores of verbal intelligence. Missed sessions and poorer therapeutic alliance early in treatment also predicted dropout. Most child and family factors investigated were not significantly associated with dropout. Conclusions: There may be little about depressed adolescents’ presentation prior to therapy starting that indicates their risk of dropout. However, within-treatment factors indicated that warning signs of dropout may be identifiable during the initial phase of therapy. Identifying and targeting early treatment indicators of dropout may provide possibilities for improving engagement. Clinical and methodological significance of this article: In the literature, a great deal of attention has been paid to child and family factors that predict therapy dropout, yet in this study, few pre-treatment characteristics were predictive of dropout. However, findings revealed possible warning signs of dropout in the early part of treatment, as poor therapeutic alliance and missed sessions were both found to be predictive of dropout. These findings call for therapists to be aware of such warning signs and clinical guidelines for managing cases at risk of dropout are warranted.

Life course researchers have increasingly explored optimal matching analysis (OMA) as a tool for the analysis of sequences, such as sections of people’s status biographies. OMA is usually employed in combination with cluster analysis (CA) to create classifications of sequences. In this article, we introduce an analytic strategy that allows assessing the classification’s internal validity. Using ideal typical sequence representations, we test different cluster algorithms and are able to optimise the fit to the data. An application analyses economic activity sequences collected for two British birth cohorts born in 1958 and 1970, investigating historical changes in passages to adulthood. The results suggest that passages into adulthood have become more diverse since the 1970s. The analytic strategy produced a classification with better fit than straightforward CA.