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

Jakob Linnet; Søren Peter Thygesen Hertz; Esben Skov Jensen; Eik Runge; Kristine Hæstrup Hindkjær Tarp; Trine Theresa Holmberg; Kim Mathiasen; Mia Beck Lichtenstein

doi:10.1016/j.invent.2023.100607

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

Internet Interv. 2023 Feb 11:31:100607. doi: 10.1016/j.invent.2023.100607. eCollection 2023 Mar.

Authors

Jakob Linnet^{1

2}, Søren Peter Thygesen Hertz¹, Esben Skov Jensen^{1

3}, Eik Runge¹, Kristine Hæstrup Hindkjær Tarp^{1

3}, Trine Theresa Holmberg¹, Kim Mathiasen^{1

3}, Mia Beck Lichtenstein^{1

3}

Affiliations

¹ Centre for Digital psychiatry, Mental Health Services in the Region of Southern, Denmark.
² Clinic on Gambling- and Binge Eating Disorder, Department of Occupational and Environmental Medicine, Odense University Hospital, Denmark.
³ Department of Clinical Research, University of Southern Denmark.

Abstract

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.

Keywords: Binge-eating disorder; Cognitive behavioral therapy; Internet-based intervention; Sensitivity and specificity; Treatment adherence and compliance.