This randomized controlled trial evaluates the effectiveness of an electronic mental health program (e-MHP) in reducing depressive symptoms among adults. The study also compares outcomes between clinical and nonclinical populations.
Major depressive disorder (MDD) is a prevalent and chronic mental health condition associated with substantial morbidity, including disability, suicide risk, and socioeconomic burden. Despite the availability of effective treatments, access to care remains limited due to barriers such as cost, stigma, long wait times, and shortages of mental health professionals. These challenges are particularly pronounced in underserved and remote populations. Digital mental health interventions, including internet- and mobile-based programs, have emerged as scalable and accessible approaches to address these gaps. Evidence suggests that such interventions, particularly those based on cognitive behavioral therapy (CBT), can achieve outcomes comparable to traditional face-to-face treatments while offering advantages in cost-effectiveness and accessibility. However, issues such as user engagement, adherence, and variability in effectiveness across populations remain important concerns. The present study aims to evaluate the effectiveness of an electronic mental health program (e-MHP) designed to reduce depressive symptoms and related outcomes, including anhedonia, self-esteem, and suicidal ideation. The intervention integrates components of CBT, health promotion, and positive psychology. Participants are randomly assigned to either the intervention group, which receives the e-MHP, or a comparison condition. The study includes both clinical participants with depressive symptoms and nonclinical individuals at risk, allowing for comparison of intervention effects across populations with differing symptom severity and care needs. The primary outcome is a change in depressive symptom severity. Secondary outcomes include changes in anhedonia, global self-esteem, and suicidal ideation. The findings are expected to inform the development and implementation of scalable digital mental health interventions and contribute to evidence-based strategies for depression prevention and treatment across diverse populations.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
DOUBLE
Enrollment
70
The digital mental health program comprises nine interactive online modules that target knowledge of depression, cognitive reframing, emotional acceptance, behavioral activation, interpersonal skills, relaxation, a healthy lifestyle, and positive psychology.
National Yang Ming Chiao Tung University
Taipei, Taiwan, Taiwan
Change in Depression Severity
Depression severity will be assessed using a standardized depression scale. Scores will be analyzed as continuous variables. Unit of Measure: Scale score (e.g., 0-27) Interpretation: \<5 = normal 5-9 = mild 10-14 = moderate 15-19 = moderately severe ≥20 = severe
Time frame: From enrollment to the end of intervention at 12 weeks. Post-test is held at 12 weeks after the intervention.
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