Combining day treatment and outpatient treatment for eating disorders: findings from a naturalistic setting

A systematic review and meta-analysis of intensive treatment options for adults with eating disorders

Eating disorders (EDs) are complex conditions with one of the highest mortality rates among psychiatric illnesses. While outpatient evidence-based treatments for EDs in adults exist, there is often utilisation of more intensive interventions as part of treatment. However, a comprehensive analysis of the impacts of intensive treatment (inpatient, residential and day program) on physical and psychosocial outcomes is lacking. Thus, the current systematic review and meta-analysis aimed to investigate the effectiveness of intensive treatments in adults with EDs for the outcomes of body mass index (BMI), disordered eating, depression, and quality of life, as well as a moderation analysis investigating a range of clinical characteristics. Overall, 62 studies were included in the meta-analysis. The results revealed that intensive treatment in adults yielded significant improvements in BMI (for underweight patients), disordered eating, depression, and quality of life. Treatment setting, length of stay and geographical region of the study all served as moderators for disordered eating and depression. Nevertheless, given the high heterogeneity in the meta- and moderation analyses, these results should be interpreted with caution. Future high-quality research is needed to determine the most beneficial elements of intensive treatment (compared to outpatient) in adults with EDs.

Days between sessions predict attrition in text-based internet intervention of Binge Eating Disorder

BACKGROUND

The number of days between treatment sessions is often overlooked as a predictor of attrition in psychotherapy. In text-based Internet interventions, days between sessions may be a simple yet powerful predictor of attrition.

OBJECTIVE

We hypothesized that a larger number of days between sessions increased the likelihood of attrition among participants with Binge Eating Disorder (BED) in a 12-session Internet-based cognitive behavioral therapy (iCBT) program. Participants could work on the sessions whenever convenient for them and received written support from a psychologist.

MATERIAL AND METHODS

We compared 201 adult participants with mild to moderate BED (85 non-completers and 116 completers) on the number of days between sessions to predict attrition rates.

RESULTS

Mixed model binomial logistic regression showed that non-completers spent significantly more days between sessions across the first four treatment sessions (1-4) when controlling for age, gender, and intake measures of BMI, BED, overall health status (EQ VAS), and depression symptoms (MDI) (OR = 1.042, p < .001). Age (OR = 0.976, p < .001) and EQ VAS (OR = 0.984, p < .001) were also significant. The risk of attrition increased by 4.2 % for each additional day participants spent completing a session.A receiver operating characteristic (ROC) curve analysis showed that classification accuracy increased across sessions from 61.1 % in session 1 and 65.7 % in session 2 to 68.8 % in session 3 and 73.2 % in session 4. The optimal cut-off point in session 4 was 17.5 days, which detected 60.4 % of non-completers (sensitivity) and 78.4 % of completers (specificity).An exploratory repeated measures of ANOVA of days between sessions showed a significant within-subjects effect, where both non-completers and completers spent more days between sessions as they progressed from sessions 1 through 4 (F = 20.54, df = 3, p < .001). There was no interaction effect, suggesting that the increase in slope did not differ between non-completers and completers.

CONCLUSIONS

Participants spending more days between sessions are at increased risk of dropping out of treatment. This may have important implications for identifying measures to reduce attrition, e.g., intensifying interventions through automated reminders or therapist messages. Our findings may have important transdiagnostic implications for text-based Internet interventions. Further studies should investigate the predictive value of days between sessions in other diagnoses.

Text based internet intervention of Binge Eating Disorder (BED): Words per message is associated with treatment adherence

BACKGROUND

Some evidence suggests that in internet-based cognitive behavioral therapy (iCBT) the likelihood of adherence is increased when patients write longer messages to the therapist in the program. This association has not previously been investigated in iCBT for Binge Eating Disorder (BED).

OBJECTIVE

In this study, we hypothesized that the number of words written by patients with mild to moderate BED was associated with increased likelihood of treatment completion in a text-based iCBT program.

MATERIAL AND METHODS

We compared 143 BED patients (92 completers and 51 non-completers) on the number of messages and words written to their therapist during the treatment.

RESULTS

Completers wrote significantly more words per message (words/message) than non-completers. The results remained significant after controlling for gender, age, educational level, marital status, children, source of income and intake measures of BED, BMI and depression symptoms (Wald = 14.48, p < .001). The odds ratio of completion increased by 1.5% for each additional word patients wrote per message (OR = 1.015). The model showed a 72.4% classification accuracy, and an optimal cut-off point of 68.99 words/message for differentiating completers and non-completers. The model accurately identified 80.9% of completers (sensitivity) and 54.9% of non-completers (specificity).

CONCLUSIONS

The number of words/message patients write may have important implications for ascertaining likelihood of adherence and improving adherence rates. From a clinical perspective, therapists should encourage patients to use the option of writing messages to the therapist. Words/message may prove to be a transdiagnostic predictor of treatment adherence in text based iCBT.

Predictors of non-completion of a day treatment program for adults with eating disorders

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.