Leveraging Social Media to Identify and Connect Teens With Eating Disorders to a Mobile Guided Self-Help Mobile Intervention

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

PHASE1

Total Enrollment

161 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-12-18

Study Completion Date

2023-12-18

Brief Summary

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Clinical or subclinical eating disorders (EDs) impact 10% of individuals in their lifetime and are marked by significant functional impairment, early mortality, chronicity, and emotional distress. ED symptoms often emerge in adolescence, with peak onset age in the teenage years. Early recognition and treatment of these devastating illnesses are needed to prevent long-term consequences and a chronic course. Most (80%) individuals with EDs, including teens with EDs (TwEDs), do not receive treatment. Due to major barriers to access and to the delivery of treatment for TwEDs, there is a need for a new model of service delivery that can identify and help TwEDs. We demonstrated our ability to harness social media to identify and efficiently recruit large numbers of TwEDs. Our team has successfully developed a guided self-help cognitive behavioral therapy (CBT)-based mobile app for previous studies and have adapted this app to address the specific needs of TwEDs. In proposed study, we will test this updated mHealth intervention, which includes simplified language and tailored content relevant to adolescent issues and a social networking feature designed to facilitate group exchanges. This mHealth intervention will be investigated among 161 TwEDs recruited from Instagram/Facebook to test preliminary efficacy and feasibility of this mHealth intervention to improved eating disorder symptoms among TwEDs not currently engaged in treatment. We will also garnering feedback via a mixed methods approach on the efficiency, technical effectiveness, and satisfaction with mHealth intervention content and features. Participants will be randomized to one of 3 study arms, including a control group (self-help version of the app), a group with access to the coached mobile app only, and a group with access to the coached mobile app plus social networking feature. We hypothesized that those with access to the coached mobile app intervention will have improved ED outcomes in comparison to the control group, and that those with access to the additional social networking feature will have the most improvement in ED symptoms out of all three groups.

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Detailed Description

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Conditions

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Eating Disorders

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Control Group

Access to a self-help version of Space From Body and Eating Concerns Program on SilverCloud Health App

Group Type NO_INTERVENTION

No interventions assigned to this group

Experimental Group A- Mobile App with Social Networking Feature

Access to a coached Space From Body and Eating Concerns program on SilverCloud Health App with private social media group for social networking support.

Group Type EXPERIMENTAL

Space From Body and Eating Concerns- Teen

Intervention Type DEVICE

Mobile application with coaching component

Experimental Group B- Mobile App Only

Access to a coached Space From Body and Eating Concerns program on SilverCloud Health App.

Group Type EXPERIMENTAL

Space From Body and Eating Concerns- Teen

Intervention Type DEVICE

Mobile application with coaching component

Interventions

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Space From Body and Eating Concerns- Teen

Mobile application with coaching component

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* US Resident
* Owns or has daily access to an iOS or Android smartphone
* English-speaking
* Screen Positive for a DSM-5 subclinical/clinical eating disorder other than anorexia nervosa (AN) or at high risk for an eating disorder