Optimizing Digital Health Technology Interventions to Increase Skill Acquisition and Utilization

Overview

The purpose of this study is to identify the independent and combined effects of two types of self-monitoring and two types of micro-interventions when combined with standard cognitive behavioral treatment for bulimia nervosa (BN) and binge eating disorder (BED). The primary aims of this study are (1) to evaluate the optimal complexity of Self-Monitoring and Micro-Interventions on eating pathology (at post-treatment and at 6 and 12-month follow-ups and (2) to test the hypotheses that the optimal complexity level of each component is moderated by baseline deficits in self-regulation. The secondary aim will be to test target engagement for each level of complexity for each component, i.e., to test whether higher complexity of each technological components is associated with better rates of therapeutic skill use and acquisition and that improvements in skill use and acquisition are associated with improvements in outcomes. A final exploratory aim will be to quantify the component interaction effects, which may be partially additive (because components overlap and/or there is diminishing return), fully additive, or synergistic (in that component complexities may partially depend on each other).

Description

The current study will use a 2 x 3 full factorial design in which 264 individuals with BN or BED are assigned to one of six treatment conditions, i.e., representing each permutation of self-monitoring complexity (Skills-Monitoring On vs. Skills-Monitoring Off) and micro-intervention complexity (No Micro-Interventions vs. Automated Reminder Messages vs. JITAIs) as an augmentation to CBT. All participants will be given the gold-standard treatment for eating disorders known as cognitive behavioral therapy (CBT-E) which is the most evidence-based treatment to date for eating disorders and is a well-established treatment approach. The main innovation of the new proposed study is the evaluation of the efficacy of the six intervention conditions that arise as a result of testing each possible combination of self-monitoring complexity (Skills-Monitoring On vs. Skills-Monitoring Off) and micro-intervention complexity (No Micro-Interventions vs. Automated Reminder Messages vs. JITAIs) as an augmentation to CBT.

The purpose of this study is to identify the independent and combined effects of two types of self-monitoring and two types of micro-interventions when combined with standard cognitive behavioral treatment for bulimia nervosa (BN) and binge eating disorder (BED). The primary aims of this study are (1) to evaluate the optimal complexity of Self-Monitoring and Micro-Interventions on eating pathology (at post-treatment and at 6 and 12-month follow-ups and (2) to test the hypotheses that the optimal complexity level of each component is moderated by baseline deficits in self-regulation. The secondary aim will be to test target engagement for each level of complexity for each component, i.e., to test whether higher complexity of each technological components is associated with better rates of therapeutic skill use and acquisition and that improvements in skill use and acquisition are associated with improvements in outcomes. A final exploratory aim will be to quantify the component interaction effects, which may be partially additive (because components overlap and/or there is diminishing return), fully additive, or synergistic (in that component complexities may partially depend on each other).

Eligibility

Inclusion Criteria:

1. Have experienced 12 or more loss of control episodes within the previous 3 months
2. Have a BMI at or above 18.5
3. Are located in the US and willing/able to participate in treatment and assessments
4. Are able to give consent

Exclusion Criteria:

1. Are unable to fluently speak, write and read English
2. Have a BMI below 18.5
3. Are already receiving treatment for an eating disorder
4. Require immediate treatment for medical complications as a result of eating disorder symptoms
5. Have a mental handicap, or are experiencing other severe psychopathology that would limit the participants' ability to comply with the demands of the current study (e.g. severe depression with suicidal intent, active psychotic disorder, severe substance use)
6. Are pregnant or are planning to become pregnant