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Although treatment dropout is common among patients with eating disorders, very few studies have examined predictors of non-completion in day treatment. We investigated various potential predictors of dropout from adult day treatment. Participants were 295 adult patients with a diagnosis of Anorexia Nervosa (restricting or binge-eating/purging subtype), Bulimia Nervosa (BN), Other Specified Feeding or Eating Disorder, or Avoidant Restrictive Food Intake Disorder. Predictors included eating-disorder characteristics, motivation at the commencement of treatment, Body Mass Index (BMI), time spent in treatment and personality dimensions. Logistic regression analyses showed that for patients with a BMI of less than 20 at the start of treatment, low BMI was a significant predictor of staff-initiated termination due to not meeting weight gain goals. Furthermore, completing less than 6 weeks of treatment was associated with staff-initiated termination. For the whole sample, those with higher changes in weight over the course of treatment were less likely to terminate prematurely. None of the other predictor variables yielded significant results. Results of the current study highlight characteristics of patients who are more likely not to complete day treatment and can help identify patients who may be at risk for not succeeding in multi-diagnostic day treatment programs., (© 2021 Eating Disorders Association and John Wiley & Sons Ltd.)

Background: Adolescence and young adulthood is a high-risk period for the development of eating disorders. In recent years, there has been an increase in use of technology-based interventions (TBIs) for the treatment of eating disorders. The objective of this study was to determine the types of technology used for eating disorder treatment in youth and their effectiveness. Methods: A scoping review was conducted according to PRISMA-ScR guidelines. Four databases were searched. Eligible articles included: (1) a TBI (2) participants with a mean age between 10- and 25-years and meeting DSM-IV or DSM-5 criteria for any eating disorder and (3) qualitative or quantitative designs. Quantitative and qualitative studies were assessed for quality. Results: The search identified 1621 articles. After screening of titles and abstracts, 130 articles were read in full and assessed for eligibility by two raters. Forty-nine (29 quantitative and 20 qualitative, observational, or mixed methods studies) met inclusion criteria. Quality ratings indicated that 78% of quantitative studies had a low risk of bias and 22% had a moderate risk. Technologies reviewed in our study included videoconference therapy, mobile applications, and online self-help. We considered interventions used both within sessions with clinicians as well as those used in between sessions by patients alone. Fifteen of 18 (83%) quantitative studies found that TBIs reduce eating disorder symptomatology, with nine of those reporting medium-to-large effect sizes. Qualitative data was of high quality and suggested that virtual interventions are acceptable in this population. Conclusions: Although identified studies are of high quality, they are limited in number. More research is needed, particularly regarding videoconferencing and mobile applications. Nonetheless, TBIs show promise for the treatment of eating disorders in youth. Trial registration: Not applicable. Plain English summary: The use of virtual care to treat adolescents and young adults with eating disorders has increased in recent years. To better understand what types of technologies are being used in virtual care and these technologies' effectiveness, we systematically reviewed research studies that discussed the use of any technology to treat youth (which was defined as young people aged 25 years or under) with an eating disorder. We found 49 relevant studies. They revealed that videoconference therapy, mobile applications, and online self-help are most frequently used for virtual treatment. Of the 18 studies evaluating the effectiveness of these technologies, 15 found virtual care to be effective for reducing eating disorder symptoms. Studies describing patient experiences with these technologies, of which there were nine, suggested that patients overall were satisfied with receiving virtual care. Although these results are promising, research on virtual treatment is still lacking, especially on videoconferencing therapy and mobile applications. [ABSTRACT FROM AUTHOR]

Objective: Identifying modifiable predictors of outcomes following treatment for eating disorders may help to tailor interventions to patients' individual needs, improve treatment efficacy, and develop new interventions. The goal of this meta‐analysis was to quantify the association between pretreatment motivation and posttreatment changes in eating disorder symptomology. Method: We reviewed 196 longitudinal studies reporting on change on indices of overall eating‐disorder symptomatology, weight gain, binge‐eating, vomiting, anxiety/depression, and treatment adherence. Meta‐analyses were performed using two complementary approaches: (a) combined probability analysis using the added Z's method; (b) effect size analyses. Using random‐effect models, effect sizes were pooled when there were at least three studies with the same type of statistical design and reporting statistics on the same outcome. Heterogeneity in study outcome was evaluated using Q and I2 statistics. Studies were reviewed qualitatively when the number of studies or reported data were insufficient to perform a meta‐analysis. Results: Forty‐two articles were included. Although samples and treatments differed substantially across studies, results across studies were remarkably consistent. Both combined‐probability and effect‐size analyses indicated positive effects of pretreatment motivation on improvement in general eating‐disorder symptoms (Cohen's r =.17), and an absence of effects on anxiety/depression symptoms. Remaining outcome indices were subject to selective reporting and/or small sample size bias. Discussion: Our findings underscore the importance of incorporating treatment engagement approaches in the treatment of eating disorders. Optimal reporting of study findings and improving study quality would improve future efforts to obtain an in‐depth understanding of the relationship between motivation and eating disorder symptoms. [ABSTRACT FROM AUTHOR]