Designing a Scalable, Accessible, and Effective Mobile App Based Solution for Common Mental Health Problems

Seung Wan Ha · Jusub Kim

33 citations0/0 files storedInternational Journal of Human-Computer Interaction

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Digital Mental Health Interventions Mental Health Treatment and Access Mobile Health and mHealth Applications

Abstract

The need for treatment of common mental health problems such as depression or anxiety has steadily increased. However, many people still do not receive effective and timely treatment due to the low availability, accessibility, and acceptability of traditional counseling. In this study, we developed a scalable, effective, and accessible app to address the problems that arise in traditional face-to-face counseling and to treat common psychological problems such as mild depression that people experience in their daily lives. The suggested app features semi-crowdsourced counseling, immediate intervention from multiple counselors, Cognitive Behavioral Therapy (CBT)-based short comments, and gamification. In a two-week randomized control trial (RCT), we surveyed 47 college students in their 20 s to investigate the efficacy of the suggested app and found that depression levels were reduced significantly only in the experimental group using the app. In addition, we conducted a user survey to determine which design factors affected the user experience of clients and counselors using the app. The proposed app can be used to help those suffering from mild depression in daily life, and it can also be used as a training aid to enhance counselors’ counseling skills.

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References

1970Manual for the State-Trait Anxiety Inventory 1996Beck Depression Inventory–II 2010Lifetime Prevalence of Mental Disorders in U.S. Adolescents: Results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A)2004Prevalence, Severity, and Unmet Need for Treatment of Mental Disorders in the World Health Organization World Mental Health Surveys 2012The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses 2005The empirical status of cognitive-behavioral therapy: A review of meta-analyses 2017Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial 2008Cognitive-Behavioral Therapy for Adult Anxiety Disorders

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2023Efficacy, Safety, and Evaluation Criteria of mHealth Interventions for Depression: Systematic Review 2022What Factors Affect a User’s Intention to Use Fitness Applications? The Moderating Effect of Health Status: A Cross-Sectional Study 2023Design and development of a mobile-based self-care application for patients with depression and anxiety disorders 2021Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis

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