Digital Multimodal CBT for Anxiety Disorders

Anxiety · Andreas Grivas, MSc Clinical Psychologist · March 28, 2023

Digital Multimodal CBT for Anxiety Disorders

Anxiety disorders, including generalised anxiety disorder, panic disorder, social anxiety disorder and specific phobias, are among the most common mental health problems. Although each has its own pattern, they share a core: an overestimation of threat, an underestimation of one's ability to cope, and avoidance or safety behaviours that bring short-term relief while keeping the anxiety going. Many people live with these difficulties for years before seeking help, and even when they do, access to a trained therapist is often limited by cost, waiting lists or geography.

Cognitive-Behavioural Therapy (CBT) is a first-line psychological treatment for anxiety. It typically combines psychoeducation about how anxiety works, cognitive techniques for examining and testing anxious predictions, graded exposure to feared situations or sensations, and practical skills such as breathing, relaxation or scheduled «worry time». These ingredients lend themselves to different media. Psychoeducation and thought records work well as text; guided breathing, relaxation and worry-exposure scripts work naturally as audio; short videos can model a skill or show what exposure looks like; virtual reality can recreate a feared situation; and smartphone notifications and mood tracking can support practice between sessions. «Multimodal» digital CBT simply means combining several of these channels in one programme, sometimes with a conversational agent that guides the user through them.

The foundation of the evidence comes from internet- and computer-delivered CBT in general. An updated meta-analysis of 64 randomised controlled trials in people diagnosed with major depression, panic disorder, social anxiety disorder or generalised anxiety disorder found a large mean effect compared with control conditions (g = 0.80), with benefit across all four disorders, improvements maintained at follow-up and good acceptability; in the small number of trials that compared it directly with face-to-face CBT, the two formats appeared equally beneficial (Andrews et al., 2018).

Smartphones add mobility and immediacy, but their effects so far appear more modest. A meta-analysis of 9 randomised trials with 1,837 participants found that smartphone-delivered psychological interventions reduced anxiety more than control conditions, with a small-to-moderate effect (g = 0.33) (Firth et al., 2017). A larger meta-analysis of 66 trials of app-supported interventions reported benefits for generalised anxiety symptoms (g = 0.30) and social anxiety symptoms (g = 0.58), but no significant benefit for panic symptoms (g = −0.05). Apps that were based on CBT and that offered professional guidance and reminders to engage produced larger effects (Linardon et al., 2019).

Visual and conversational elements are where much of the current innovation lies. For exposure, a meta-analysis of 30 randomised trials found that virtual reality exposure therapy had a large effect compared with waiting lists (g = 0.90) and did not differ significantly from in-vivo exposure, although larger studies reported smaller effects (Carl et al., 2019). For conversational agents, a meta-analysis of 15 randomised trials found that AI-based agents reduced symptoms of depression (g = 0.64) and psychological distress (g = 0.70), and that these effects were more pronounced for agents that were multimodal, generative-AI-based or integrated into mobile and messaging apps (Li et al., 2023). It is worth noting that this review did not focus on anxiety disorders specifically, so its findings point to a promising direction rather than an established treatment for anxiety.

A key question is whether adding more media and features actually improves outcomes. A meta-analytic review of 34 randomised trials with 3,724 participants examined the components of internet- and mobile-based interventions for anxiety disorders. Guided interventions were superior to unguided ones both in reducing symptoms (SMD = −0.39) and in adherence, but the authors found no evidence for incremental effects of several other single components apart from guidance (Domhardt et al., 2019). In other words, a richer interface may make a programme more engaging, yet what seems to matter most is that the person actually works through the core CBT content, ideally with some human support. Future multimodal systems will likely aim to personalise the format, for example offering audio exercises to someone who rarely reads long texts, or adapting exposure tasks to progress, but these ideas still need to be tested in well-designed trials.

There are important limitations. Trials differ widely in content, populations and control groups, many use waiting lists, follow-up periods are often short, and engagement tends to drop over time in real-world use. The evidence for apps in panic disorder is weak, and conversational agents can misinterpret what a user writes. Privacy and data security are real concerns, especially with apps that collect mood or voice data. Digital self-help is generally not suitable as the main treatment for severe or long-standing anxiety, for anxiety accompanied by significant depression, thoughts of self-harm or substance misuse, or when symptoms could have a medical cause, such as thyroid problems, heart rhythm disorders or the effects of medication or caffeine, which a doctor should assess. People who experience frequent panic attacks with chest pain or shortness of breath should first rule out medical causes.

Consider seeing a mental health professional if anxiety interferes with work, studies or relationships, if you are avoiding more and more situations, if a digital programme has not helped after a reasonable period of practice, or if you are relying on alcohol or other substances to cope. A clinician can carry out a proper assessment, offer therapist-led CBT and, where appropriate, discuss medication. If anxiety is accompanied by thoughts of harming yourself or you feel in crisis, contact your local emergency number immediately. Digital CBT tools can complement this care, for example by supporting practice between sessions, but they do not replace a professional assessment.

In summary, digital CBT for anxiety has a solid evidence base, and combining text, audio, video, virtual reality and conversational agents offers new ways to make treatment engaging and accessible. The research so far suggests, however, that the strength of a programme lies less in the number of media it uses and more in delivering well-established CBT techniques, keeping people engaged and, where possible, adding human guidance.

References

  • Andrews, G., Basu, A., Cuijpers, P., Craske, M. G., McEvoy, P., English, C. L., & Newby, J. M. (2018). Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: An updated meta-analysis. Journal of Anxiety Disorders, 55, 70–78. https://doi.org/10.1016/j.janxdis.2018.01.001
  • Carl, E., Stein, A. T., Levihn-Coon, A., Pogue, J. R., Rothbaum, B., Emmelkamp, P., Asmundson, G. J. G., Carlbring, P., & Powers, M. B. (2019). Virtual reality exposure therapy for anxiety and related disorders: A meta-analysis of randomized controlled trials. Journal of Anxiety Disorders, 61, 27–36. https://doi.org/10.1016/j.janxdis.2018.08.003
  • Domhardt, M., Geßlein, H., von Rezori, R. E., & Baumeister, H. (2019). Internet- and mobile-based interventions for anxiety disorders: A meta-analytic review of intervention components. Depression and Anxiety, 36(3), 213–224. https://doi.org/10.1002/da.22860
  • Firth, J., Torous, J., Nicholas, J., Carney, R., Rosenbaum, S., & Sarris, J. (2017). Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials. Journal of Affective Disorders, 218, 15–22. https://doi.org/10.1016/j.jad.2017.04.046
  • Li, H., Zhang, R., Lee, Y.-C., Kraut, R. E., & Mohr, D. C. (2023). Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being. npj Digital Medicine, 6, Article 236. https://doi.org/10.1038/s41746-023-00979-5
  • Linardon, J., Cuijpers, P., Carlbring, P., Messer, M., & Fuller-Tyszkiewicz, M. (2019). The efficacy of app-supported smartphone interventions for mental health problems: A meta-analysis of randomized controlled trials. World Psychiatry, 18(3), 325–336. https://doi.org/10.1002/wps.20673