A Data Analysis Method for Using Longitudinal Binary Outcome Data from a SMART to Compare Adaptive Interventions

Sequential multiple assignment randomized trials (SMARTs) are a useful and increasingly popular approach for gathering information to inform the construction of adaptive interventions to treat psychological and behavioral health conditions. Until recently, analysis methods for data from SMART designs considered only a single measurement of the outcome of interest when comparing the efficacy of adaptive interventions. Lu et al. proposed a method for considering repeated outcome measurements to incorporate information about the longitudinal trajectory of change. While their proposed method can be applied to many kinds of outcome variables, they focused mainly on linear models for normally distributed outcomes. Practical guidelines and extensions are required to implement this methodology with other types of repeated outcome measures common in behavioral research. In this article, we discuss implementation of this method with repeated binary outcomes. We explain how to compare adaptive interventions in terms of various summaries of repeated binary outcome measures, including average outcome (area under the curve) and delayed effects. The method is illustrated using an empirical example from a SMART study to develop an adaptive intervention for engaging alcohol- and cocaine-dependent patients in treatment. Monte Carlo simulations are provided to demonstrate the good performance of the proposed technique.     

Identifying predictor variables of weight loss outcome: Implications for a stepped program and weight management

Abstract

Four variables were identified that predicted outcome for the minimal and moderate intensity weight control programs presented in sequence. Predictive models for pounds lost and percentage overweight lost were computed for both programs and follow-up and accounted for 33% to 62% of the variance. The predictor variable that contributed to the two programs and follow-up was success in losing weight previously. Greater rate of weight loss in the first five weeks contributed to the model for the minimal intensity program and for follow-up and total number of calories expended in nonroutine physical activity added to the model for the minimal intensity program. Marital dissatisfaction of subjects was a predictor for the moderate intensity program and follow-up. The findings have utility for a stepped program for weight and provide confirmation of variables noted as predictors in prior research. This study may help in the quest to identify consistent predictors of weight loss success.     

Relationship Between Homework Completion and Outcome in Cognitive Behaviour Therapy

Homework or between‐session learning has long been considered an essential aspect of effective cognitive behaviour therapy. However, it has received relatively less empirical attention than other components of cognitive behaviour therapy. In general, studies have found that homework completion is predictive of outcome in psychotherapy. However, the amount of homework completed by a patient represents only one aspect of this important therapeutic component. This study investigated both the quantity and the quality of homework completed during a 10‐week group cognitive and behavioural treatment program for anxious and depressed patients. It explored the relationship between various aspects of homework completion and outcomes on several different variables. A total of 94 patients were included in the analysis. It was found that both quantity and quality of homework completed predicted outcome on measures of depression, anxiety and quality of life at post‐treatment and at 1‐month follow‐up. The results were strongest for the amount of homework completed, suggesting that clinicians should encourage patients to complete homework even if the homework content is not entirely accurate. The results of this study highlight the importance of homework as a central part of effective cognitive and behavioural treatment.     

Homework Compliance Counts in Cognitive-Behavioral Therapy

Background: Prior research has demonstrated that there is some association between treatment engagement and treatment outcome in behavioral therapy for anxiety disorders. However, many of these investigations have been limited by weak measurement of treatment engagement variables, failure to control for potentially important baseline variables, and failure to consider various treatment engagement variables simultaneously. The purpose of the present study is to examine the relationship between two treatment engagement variables (treatment expectancy and homework compliance) and the extent to which they predict improvement from cognitive-behavioral therapy (CBT) for anxiety disorders. Methods: 84 adults with a DSM-IV-defined principal anxiety disorder took part in up to 12 sessions of CBT or acceptance and commitment therapy. Pre- and post-treatment disorder severity was assessed using clinical severity ratings from a semi-structured diagnostic interview. Participants made ratings of treatment expectancy after the first session. Homework compliance was assessed each session by the treating clinician. Results: Contrary to hypotheses, treatment expectancy and homework compliance were poorly correlated. Regression analyses revealed that homework compliance, but not treatment expectancy, predicted a significant portion of the variance in treatment outcome (10%). Conclusions: The present research suggests that although treatment expectation and homework compliance likely represent unique constructs of treatment engagement, homework compliance may be the more important treatment engagement variable for outcomes. The present research suggests that improvement of homework compliance has the potential to be a highly practical and effective way to improve clinical outcomes in CBT targeting anxiety disorders.     

Trauma-Related Negative Cognitions Mediate the Relationship Between Avoidant Personality Beliefs and Impeded Response to Psychotherapy for PTSD

There is strong research evidence for the association of personality pathology and posttraumatic stress disorder (PTSD), as well as trauma-related negative cognitions (TRNC) and PTSD symptoms. However, the relationship between personality pathology and TRNC in the context of PTSD is mostly unknown. In the present study, we aimed to examine whether avoidant and borderline personality beliefs (PB, indicator of personality pathology) could predict therapy outcome in PTSD, and whether the relationship between PB and therapy outcome could be mediated by TRNC. Sixty patients with PTSD were assessed for PB, TRNC and PTSD symptoms at baseline, and for PTSD symptoms at the termination of Prolonged Exposure Therapy. Baseline avoidant PB predicted significant variance in PTSD symptoms at termination over and above baseline PTSD symptoms (16% reduction in treatment effect per SD on avoidant PB). Moreover, TRNC at baseline fully mediated the relationships between baseline avoidant PB and PTSD symptoms at termination. This is the first study to show that avoidant PB predicts treatment response in PTSD, and that patients with avoidant beliefs are more vulnerable to have TRNC, which are associated with impeded therapy response. Our results highlight the importance of targeting both dysfunctional PB and TRNC in PTSD interventions.     

Approaches to evaluation

This paper offers some informal thoughts about audit and research studies in a psychotherapy or counselling context, drawing on the author's background in a difficult area of evaluation: the outcomes of psychoanalytic psychotherapy for children and adolescents. Reasons for therapists' difficulties with the idea of evaluation studies are considered, and possible designs for feasible research projects are briefly discussed. Examples of different strategies within one area are given, to illustrate the way in which different approaches can be patched together to yield important findings, and to overcome the limitations of any one approach. the place of audit in relation to research is also briefly discussed.     

Quantitative and qualitative analysis of a set of goal attainment forms in primary care mental health services

Aims: The aim of this paper is to present an attempt to collate the results of the client‐completed Goal Attainment Form (GAF) and to explore the usefulness of analysing the data in this way. The GAF is used primarily to add qualitative idiosyncratic data to the quantitative data collected by the CORE‐OM (Clinical Outcomes for Routine Evaluation Outcome Measure) questionnaire. Method: A sample of 477 completed GAF were used during short‐term therapy through primary care mental health services to investigate potential correlations in various different aspects between the GAF and the CORE outcome measure (CORE‐OM). The themes from these forms were qualitatively analysed to compare how clients describe their experience of therapy with clinical perspectives. Results: The results reveal several significant correlations. Themes used by clients to describe their problems and benefits of therapy were different from clinicians' perspectives. Discussion and recommendations: Several suggestions and recommendations are offered regarding evaluation, therapy and primary care short‐term therapy services.     

We have travelled a long distance and sorted out the mess in the drawers: Metaphors for moving towards the end in psychotherapy

Aim: To explore the process of ending in psychotherapy, in particular how clients and therapists draw on their notions of client improvements and prepare for the upcoming end. Data: The data comes from an intensive process‐outcome study at the University of Oslo, Norway. The study includes audio‐recording from all sessions and separate post‐therapy interviews with clients and therapists. Twelve psychotherapy dyads were selected because they had reached a ‘good enough’ ending. Therapy duration ranged from 7–43 months. The number of sessions ranged from 10–67. Method and analysis: A hermeneutical‐phenomenological approach analysed and combined the observational and reflexive data. The analysis was carried out using a method for systematic text condensation and through reflexive dialogues with the material and between the researchers. Findings and discussion: The language of improvement towards the end of treatment seemed packed with metaphors conveying growth in both affective and relational management. Metaphors based on travel (how they have moved); cleaning (how they have cleaned up and sorted out things); sensing (how the clients have grown stronger, got their heads above water and see things differently); and the clients’ feeling of having received something (gifts or tools) are widely used. Such metaphors are created in the interaction with a mutual sensitivity to their capacity to confirm and regulate affect towards the end. In this sense, the metaphors celebrate accomplishments in a way that exceeds therapy, and the client can keep them to use afterwards.     

The Effects of Intent,Outcome, and Causality on Moral Judgments and Decision Processes

Over the past decade, moral judgments and their underlying decision processes have more frequently been considered from a dynamic and multi-factorial perspective rather than a binary approach (e.g., dual-system processes). The agent’s intent and his or her causal role in the outcome–as well as the outcome importance–are key psychological factors that influence moral decisions, especially judgments of punishment. The current research aimed to study the influence of intent, outcome, and causality variations on moral decisions, and to identify their interaction during the decision process by embedding the moral scenarios within an adapted mouse-tracking paradigm. Findings of the preregistered study (final n = 80) revealed main effects for intent, outcome, and causality on judgments of punishment, and an interaction between the effects of intent and causality. We furthermore explored the dynamics of these effects during the decision process via the analysis of mouse trajectories in the course of time. It allowed detecting when these factors intervened during the trial time course. The present findings thus both replicate and extend previous research on moral judgment, and evidence that, despite some ongoing challenges, mouse-tracking represents a promising tool to investigate moral decision-making.