Currently submitted to: JMIR Research Protocols
Date Submitted: Feb 10, 2026
Open Peer Review Period: Feb 11, 2026 - Apr 8, 2026
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
iCAN: A chatbot-assisted mobile aftercare app for adolescents and young adults with depression – Protocol for a multicenter mixed-methods randomized controlled trial
ABSTRACT
Background:
Depression is prevalent among adolescents and young adults and often requires aftercare following inpatient treatment. Although effective outpatient aftercare exists, many patients face difficulties in maintaining treatment gains and remain without professional support after being discharged. Digital mental health interventions hold promise for bridging this care gap; however, evidence of their effectiveness is limited.
Objective:
This protocol outlines a study evaluating the effectiveness, cost-effectiveness, and implementation of a chatbot-assisted smartphone intervention (iCAN) designed to support youth following inpatient treatment for depression.
Methods:
This is a prospective, two-armed, mixed-methods randomized controlled trial. The targeted sample size is n = 368 patients aged 13–25 years with depressive disorders who were receiving inpatient treatment and, additionally, n = 18 healthcare providers. Participants in the intervention group received care as usual plus an e-coach-guided intervention for 90 days, whereas the control group received care as usual only. Assessments were conducted at baseline and 6 weeks, 3 months, and 6 months after randomization. The primary outcome is clinician-rated severity of depression symptoms. Secondary outcomes include remission rates, general psychopathology, quality of life, uptake of aftercare services, cost-effectiveness, mechanisms of action, as well as acceptability, and usability. Outcome evaluation will use linear mixed models based on the intention-to-treat principle, and process evaluation will be conducted via content analysis.
Results:
We enrolled n = 228 patients from 31 hospitals across Germany between November 2023 and December 2024. Data collection (6 months follow-up) was completed June 2025. Data analysis is currently in progress, with the first results expected to be published by the end of 2026.
Conclusions:
This study will provide evidence for the effectiveness and cost-effectiveness of a guided digital mental health intervention for post-discharge aftercare of youth treated for depression in an inpatient setting. It will offer insights into the implementation of the intervention in routine care. If proven effective, iCAN may serve as a blueprint for remote aftercare for young people with depression. Clinical Trial: This trial is registered in the German register for clinical trials (DRKS-ID: DRKS00032966)
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.