Cited by 70Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesTelemedicine and Telehealth Implementation

Digital Technologies in the Treatment of Anxiety: Recent Innovations and Future Directions

Open access
Firth, Joseph, Torous, John, Carney, Rebekah, Newby, Jill, Cosco, Theodore D., Christensen, Helen, Sarris, Jerome·2018·Current Psychiatry Reports

Abstract

Purpose of review This review aims to provide a comprehensive overview of the efficacy, limitations, and future of e-health treatments for anxiety. Within this, we provide detail on "first-generation" e-health approaches, such as computerized therapies. Additionally, we assess the emergence and early efficacy of newer methods of treatment delivery, including smartphone apps and virtual reality interventions, discussing the potential and pitfalls for each.Recent findings There is now substantial clinical research demonstrating the efficacy of internet-delivered cognitive behavioral therapy in the treatment of anxiety. However, the ability of these interventions for engaging patients in "real-world" settings is unclear. Recently, smartphone apps for anxiety have presented a more popular and ubiquitous method of intervention delivery, although the evidence base supporting these newer approaches drastically falls behind the extensive marketing and commercialization efforts currently driving their development. Meanwhile, the increasing availability of novel technologies, such as "virtual reality" (VR), introduces further potential of e-health treatments for generalized anxiety and anxiety-related disorders such as phobias and obsessive compulsive disorder, while also creating additional challenges for research. Although still in its infancy, e-health research is already presenting several promising avenues for delivering effective and scalable treatments for anxiety. Nonetheless, several important steps must be taken in order for academic research to keep pace with continued technological advances.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11920-018-0910-2

Cites

66 of 66 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The high prevalence of anxiety vastly exceeds the capacities of mental health services, and this gap has only increased over the past several years.

    “The high prevalence of anxiety “vastly exceeds the capacities of mental health services,” and this gap has only increased over the past several years [75].”

    From Clinical Efficacy and Psychological Mechanisms of an App-Based Digital Therapeutic for Generalized Anxiety Disorder: Randomized Controlled Trial (2021) · cites this paper as [75]

    The Introduction says the population prevalence of anxiety-related disorders vastly exceeds mental health services’ capacity to provide face-to-face therapy. The Conclusions describe services as increasingly overstretched, but neither passage establishes that the gap between prevalence and service capacity has increased over the past several years. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Firth, J., Torous, J., Carney, R., Newby, J., Cosco, T. D., Christensen, H., & Sarris, J.
Affiliations
  • University of Manchester (GB)
  • Beth Israel Deaconess Medical Center (US)
  • Greater Manchester Mental Health NHS Foundation Trust (GB)
  • UNSW Sydney (AU)
  • Simon Fraser University (CA)
  • Black Dog Institute (AU)
  • The University of Melbourne (AU)
Corresponding author
Firth, Joseph
Venue
Current Psychiatry Reports
Published
2018-05-19
Volume
20
Issue
6
Pages
44-44
ISSN
  • 1523-3812 (ISSN-L)
  • 1535-1645
OpenAlex
W2804293894
Cited by
70
References
66
Citations by year
2026: 4 · 2025: 6 · 2024: 10 · 2023: 7 · 2022: 13 · 2021: 12 · 2020: 9 · 2019: 7 · 2018: 2
FWCI
1.01
Type
journal article
Language
en
Open access
Locations
  • Current Psychiatry Reports (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion)
  • UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
Funders
  • Canadian Institutes of Health Research (MFE146676)
  • National Institute of Mental Health (K23MH116130)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
Keywords
anxiety disorders, e-health, internet-based cognitive behavioral therapy, mobile application, virtual reality intervention, generalized anxiety disorder, phobia, obsessive-compulsive disorder, treatment engagement, digital mental health
MeSH terms
Smartphone, Anxiety Disorders, Humans, Therapy, Computer-Assisted, Cognitive Behavioral Therapy, Treatment Outcome, Internet, Virtual Reality Exposure Therapy, Mobile Applications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review