Digital Mental Health Apps: Effectiveness and Limitations

  • Authors

    • Dr. Grace Ndlovu Associate Professor, University of Pretoria, South Africa. Author
    • Samuel Johnson Senior Operations Manager, MTN Group, South Africa. Author

    DOI:

    https://doi.org/10.67228/3071561X/IJIRHT-2023PI8L6Y

    Published 01-03-2023

  • Digital Mental Health, Mobile Health Applications, Cognitive Behavioral Therapy, Telemedicine, User Engagement, Mental Health Technology, AI Chatbots, Privacy and Security

    Issue

    Vol. 6 No. 1 (2023)

    Section

    Articles

    How to Cite

    [1]
    G. Ndlovu and S. Johnson, “Digital Mental Health Apps: Effectiveness and Limitations”, IJIRHT, vol. 6, no. 1, pp. 01–12, Jan. 2023, doi: 10.67228/3071561X/IJIRHT-2023PI8L6Y.

  • Abstract

    Digital mental health applications (DMHAs) are emerging as accessible and cost-effective tools to address the growing global mental health burden. They include solutions like CBT-based apps, mindfulness tools, mood trackers, and AI chatbots, offering real-time support and continuous monitoring. Research shows they can reduce symptoms of anxiety, depression, and stress, especially when based on evidence-based therapies However, challenges remain. Many apps lack proper clinical validation, user engagement often declines over time, and concerns about data privacy, security, and algorithmic bias persist. While DMHAs are valuable as supplementary tools, they cannot fully replace traditional therapy. The most effective approach is a hybrid model combining digital tools with professional care. The paper recommends stronger regulations, improved design, and better clinical validation to enhance their effectiveness.

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