Self-regulation deficits moderate treatment outcomes in a clinical trial evaluating just-in-time adaptive interventions as an augmentation to cognitive-behavioral therapy for bulimia-spectrum eating disorders

Acute Augmentations to Psychological Therapies in Eating Disorders: A Systematic Review and Meta-Analysis

PURPOSE OF REVIEW

The purpose of this systematic review and meta-analysis was to examine the use and efficacy of acute augmentation therapies in eating disorders.

RECENT FINDINGS

A meta-analysis addressing this topic across psychological disorders found augmentation significantly improved therapy outcome with strongest findings for augmentations targeting biological mechanisms; however, only one study examined eating disorders. Our systematic review identified 29 studies examining people with eating disorders (N = 1831 participants, 93.7% female), of which 17 RCTs (n = 1162 participants) were included in the meta-analysis. Small subgroups of acute augmentations were identified. Adding acute augmentations to an intervention was effective in 72.4% of studies, with a significant effect on eating disorder outcomes (Hedges' g = 0.14, 95% CI: [0.02, 0.26]). Acute augmentation looks to be a promising approach regardless of weight status or whether it is added to treatment as usual or a single therapy approach.

Bulimia Nervosa and Binge-Eating Disorder Across the Lifespan

This article aims to review the current evidence-based psychotherapy and psychopharmacological treatments for adults and youths with bulimia nervosa (BN) and binge-eating disorder (BED). Treatments for adults and for children and adolescents are discussed separately, including developmental considerations in the management of these disorders among youths. Although several evidence-based psychotherapy and psychopharmacological treatment options have been established for adults with BN or BED, there is much less empirical support for the management of these eating disorders among children and adolescents. This review concludes by discussing promising modalities and innovations, highlighting the potential utility of integrating technology into treatment approaches. Despite decades of treatment development and testing, a sizable proportion of individuals with BN or BED do not respond to the current evidence-based treatments, highlighting the need for continued research in these domains. Future research should focus on testing psychotherapy treatments among diverse samples in large, randomized controlled trials, as well as on treatments that can be easily scaled and implemented in community settings.

Optimizing digital health technologies to improve therapeutic skill use and acquisition alongside enhanced cognitive-behavior therapy for binge-spectrum eating disorders: Protocol for a randomized controlled trial

OBJECTIVE

Adjunctive mobile health (mHealth) technologies offer promise for improving treatment response to enhanced cognitive-behavior therapy (CBT-E) among individuals with binge-spectrum eating disorders, but research on the key "active" components of these technologies has been very limited. The present study will use a full factorial design to (1) evaluate the optimal combination of complexity of two commonly used mHealth components (i.e., self-monitoring and microinterventions) alongside CBT-E and (2) test whether the optimal complexity level of these interventions is moderated by baseline self-regulation. Secondary aims of the present study include evaluating target engagement associated with each level of these intervention components and quantifying the component interaction effects (i.e., partially additive, fully additive, or synergistic effects).

METHOD

Two hundred and sixty-four participants with binge-spectrum eating disorders will be randomized to six treatment conditions determined by the combination of self-monitoring condition (i.e., standard self-monitoring or skills monitoring) and microinterventions condition (i.e., no microinterventions, automated microinterventions, or just-in-time adaptive interventions) as an augmentation to 16 sessions of CBT-E. Treatment outcomes will be measured using the Eating Disorder Examination and compared by treatment condition using multilevel models.

RESULTS

Results will clarify the "active" components in mHealth interventions for binge eating.

DISCUSSION

The present study will provide critical insight into the efficacy of commonly used digital intervention components (i.e., skills monitoring and microinterventions) alongside CBT-E. Furthermore, results of this study may inform personalization of digital intervention intensity based on patient profiles of self-regulation.

PUBLIC SIGNIFICANCE

This study will examine the relative effectiveness of commonly used components of application-based interventions as an augmentation to cognitive-behavioral therapy for binge eating. Findings from this study will inform the development of an optimized digital intervention for individuals with binge eating.