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).
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).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
264
Standard behavioral therapy for eating disorders aimed at changing behaviors that maintain binge eating (e.g. rigid dietary restriction outside of binge episodes, irregular or chaotic eating patterns).
Integrates behavioral treatment for eating disorders with a more complex self-monitoring than the self-monitoring protocol with traditional behavioral treatment. Via a smartphone application, participants will be asked to self-monitor skill usage of the skills provided during treatment sessions on top of monitoring their eating patterns, binging, and (if applicable) compensatory behaviors.
Integrates behavioral treatment for eating disorders with two randomly time automated push notifications from a smartphone application each week to remind participants about skills they have learned in session to encourage skill use.
Integrates behavioral treatment for eating disorders with push notifications each week from a smartphone application to remind participants about skills they have learned in session to encourage skill use during app-identified moments of need (i.e., JITAIs, just-in-time adaptive interventions).
Drexel University, Stratton Hall
Philadelphia, Pennsylvania, United States
RECRUITINGBinge eating frequency assessed by the Eating Disorder Examination
Frequency (number of days and number of instances) of binge eating over the past 28 days assessed by the Eating Disorder Examination
Time frame: Changes from each assessment time point throughout treatment (3 assessments over 16 weeks) and at a 6 month and a 12-month post-treatment follow-up assessment
Global Eating Pathology
The Eating Disorder Examination is a semi-structured interview that measures eating. pathology. The EDE yields a total eating pathology score that will be used as an outcome variable. Global eating pathology is on a 0-6 point scale with higher scores indicating more significant eating pathology.
Time frame: Changes from each assessment time point throughout treatment (3 assessments over 16 weeks) and at a 6 month and a 12-month post-treatment follow-up assessment
Remission Status
Presence or absence of eating disorder diagnosis. Not in remission; in partial remission; or in full remission.
Time frame: Changes from each assessment time point throughout treatment (3 assessments over 16 weeks) and at a 6 month and a 12-month post-treatment follow-up assessment
BMI
kilogram/(meters\^2), this will be calculated by assessors when participants provide their height and weight at all assessment points
Time frame: Changes from each assessment time point throughout treatment (3 assessments over 16 weeks) and at a 6 month and a 12-month post-treatment follow-up assessment
Compensatory behavior frequency assessed by the Eating Disorder Examination (EDE)
Frequency (number of days and number of instances) of compensatory behaviors assessed by the Eating Disorder Examination
Time frame: Changes from each assessment time point throughout treatment (3 assessments over 16 weeks) and at a 6 month and a 12-month post-treatment follow-up assessment
Acceptability and Feasibility
Perceived usefulness and ease-of-use of the technological components (the smartphone application) will be measured by the Technology Acceptance Model (TAM) Scales. A Feedback Questionnaire will also be used to measure qualitative acceptability of both the technological components of the study and the treatment components. Assessment of feasibility will include % of eligible patients enrolled, treatment attrition (% of patients that prematurely terminate treatment), and study retention (% of patients that complete all assessment points). Data will also be collected on participants' use of CBT+ technological features, including time, duration, and frequency of use.
Time frame: Changes from each assessment time point throughout treatment after baseline so 2 assessments over 16 weeks (the mid-treatment and post-treatment assessments).
Frequency of skill use and success of skill use
Data will be collected at each therapy session via a pre-session questionnaire for participants and post-session questionnaire for therapists to assess skills related to internal experiences such as urges and negative emotions that contribute to ED behaviors. The items were adapted from the Difficulties in Emotional Regulation Scale (DERS).
Time frame: Changes from each weekly session over the course of the 16 week treatment
Emotional Self-regulation
Changes in emotional self-regulation will be assessed using the total score of the Difficulties in Emotional Regulation Scale (DERS)
Time frame: Changes from each assessment time point throughout treatment (3 assessments over 16 weeks) and at a 6 month and a 12-month post-treatment follow-up assessment
Self-regulation: Impulsivity
Changes in impulsivity will be assessed by the total score of the UPPS-P Impulsive Behaviors Scale.
Time frame: Changes from each assessment time point throughout treatment (3 assessments over 16 weeks) and at a 6 month and a 12-month post-treatment follow-up assessment
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