A pilot multiple-baseline study of a mobile cognitive behavioral therapy for the treatment of eating disorders in university students.

OBJECTIVE: Eating disorders (EDs) are serious psychiatric disorders associated with substantial morbidity and mortality that are prevalent among university students. Because many students do not receive treatment due to lack of access on university campuses, mobile-health (mHealth) adaptations of evidence-based treatments represent an opportunity to increase treatment accessibility and engagement. The purpose of this study was to test the initial efficacy of Building Healthy Eating and Self-Esteem Together for University Students (BEST-U), which is a 10-week mHealth self-guided cognitive-behavioral therapy (CBT-gsh) app that is paired with a brief 25-30-min weekly telehealth coaching, for reducing ED psychopathology in university students. METHOD: A non-concurrent multiple-baseline design (N = 8) was used to test the efficacy of BEST-U for reducing total ED psychopathology (primary outcome), ED-related behaviors and cognitions (secondary outcomes), and ED-related clinical impairment (secondary outcome). Data were examined using visual analysis and Tau-BC effect-size calculations. RESULTS: BEST-U significantly reduced total ED psychopathology and binge eating, excessive exercise, and restriction (effect sizes ranged from -0.39 to -0.92). Although body dissatisfaction decreased, it was not significant. There were insufficient numbers of participants engaging in purging to evaluate purging outcomes. Clinical impairment significantly reduced from pre-to-post-treatment. DISCUSSION: The current study provided initial evidence that BEST-U is a potentially efficacious treatment for reducing ED symptoms and ED-related clinical impairment. Although larger-scale randomized controlled trials are needed, BEST-U may represent an innovative, scalable tool that could reach greater numbers of underserved university students than traditional intervention-delivery models. PUBLIC SIGNIFICANCE: Using a single-case experimental design, we found evidence for the initial efficacy of a mobile guided-self-help cognitive-behavioral therapy program for university students with non-low weight binge-spectrum eating disorders. Participants reported significant reductions in ED symptoms and impairment after completion of the 10-week program. Guided self-help programs show promise for filling an important need for treatment among university students with an ED.

The Building Healthy Eating and Self-Esteem Together for University Students Mobile App to Treat Eating Disorders: User-Centered Research Design and Feasibility Study.

BACKGROUND: University students are an at-risk group for the development of eating disorders (EDs); however, many college campuses lack sufficient resources to provide ED specialty care. Students report unique reasons for not seeking ED treatment, including the desire to solve the problem on their own (eg, seeking help from friends, self-medicating, or waiting to see if their problems improve), inability to afford treatment, lack of time to participate in the treatment, fear of seeing their primary care physician, and lack of recognition of their issues as an ED. Mobile health (mHealth) apps may be a cost-effective, helpful adjunctive tool to overcome personal and systemic barriers and encourage help seeking. OBJECTIVE: This paper describes the development, usability, and acceptability of the Building Healthy Eating and Self-Esteem Together for University Students (BEST-U) mHealth smartphone app, which is designed to fill critical gaps in access to ED treatment on college campuses. METHODS: We undertook a 4-phase iterative development process that focused on user-centered design. The 4 phases included needs assessment based on literature reviews, prototype development and initial evaluation in a pilot trial, redesign, and further pilot-testing to assess the usability and acceptability of the final version of the mHealth app. Acceptability and user satisfaction were assessed using an ad hoc survey that ranged from 1 (strongly disagree) to 7 (strongly agree). RESULTS: Our needs assessment identified a lack of accessible and affordable treatments for university students. To help meet this need, the BEST-U prototype was designed as an 11-week program that provided interactive, weekly modules that focused on second- and third-wave cognitive behavioral skills. The modules focused on topics such as psychoeducation, reducing thought distortions and body checking, improving body image, interpersonal effectiveness, and behavior chain analysis. The content included interactive quizzes, short answer questions, daily and weekly logs, and surveys completed in the app. BEST-U was paired with brief 25-30 minutes of weekly telehealth coaching sessions provided by a licensed provider or supervised trainee. Pilot-testing revealed minor issues with one module of the app content, which some participants viewed as having low relevance to their experience and therapist concerns about the organization of the app content. These issues were addressed through the removal, addition, and reorganization of BEST-U modules, with the help of therapists-in-training across 2 workshops. The revised version of the BEST-U app had a grand mean acceptability rating of 5.73 out of 7. The participants completed 90.1% (694/770) of the BEST-U modules, indicating high compliance. CONCLUSIONS: BEST-U is a new, acceptable, and user-friendly mHealth app to help therapists deliver brief, evidence-based cognitive behavioral interventions. Owing to its acceptability and user-friendly nature, BEST-U has high user compliance and holds promise for future implementation and dissemination in university mental health settings.