Cited by 133Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Treatment and Access

Effectiveness of a freely available computerised cognitive behavioural therapy programme (MoodGYM) for depression: Meta-analysis

Twomey, Conal, O’Reilly, Gary·2017·Australian & New Zealand Journal of Psychiatry

Abstract

Objective: To investigate the effectiveness of a freely available computerised cognitive behavioural therapy programme (MoodGYM) for depression (primary outcome), anxiety and general psychological distress in adults. Method: We searched PsycINFO, CINAHL Plus, MEDLINE, EMBASE, Social Science Citation Index and references from identified papers. To assess MoodGYM’s effectiveness, we conducted random effects meta-analysis of identified randomised controlled trials. Results: Comparisons from 11 studies demonstrated MoodGYM’s effectiveness for depression symptoms at post-intervention, with a small effect size ( g = 0.36, 95% confidence interval: 0.17–0.56; I 2 = 78%). Removing the lowest quality studies ( k = 3) had minimal impact; however, adjusting for publication bias reduced the effect size to a non-significant level ( g = 0.17, 95% confidence interval: −0.01 to 0.38). Comparisons from six studies demonstrated MoodGYM’s effectiveness for anxiety symptoms at post-intervention, with a medium effect size ( g = 0.57, 95% confidence interval: 0.20–0.94; I 2 = 85%). Although comparisons from six studies did not yield significance for MoodGYM’s effectiveness for general psychological distress symptoms, the small effect size approached significance ( g = 0.34, 95% confidence interval: −0.04 to 0.68; I 2 = 79%). Both the type of setting (clinical vs non-clinical) and MoodGYM-developer authorship in randomised controlled trials had no meaningful influence on results; however, the results were confounded by the type of control deployed, level of clinician guidance, international region of trial and adherence to MoodGYM. Conclusions: The confounding influence of several variables, and presence of publication bias, means that the results of this meta-analysis should be interpreted with caution. Tentative support is provided for MoodGYM’s effectiveness for symptoms of depression and general psychological distress. The programme’s medium effect on anxiety symptoms demonstrates its utility for people with this difficulty. MoodGYM benefits from its free accessibility over the Internet, but adherence rates can be problematic and at the extreme can fall below 10%. We conclude that MoodGYM is best placed as a population-level intervention that is likely to benefit a sizeable minority of its users.

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Crossref · 10.1177/0004867416656258

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  • The prevalence of depressive symptoms in the US increased approximately threefold from 2017 to 2020.

    “the prevalence of depressive symptoms in the US increased approximately threefold from 2017 to 2020, 7”

    From Digital health technologies and major depressive disorder (2023) · cites this paper as [7]

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References 39 · Cited by 133

Authors
Twomey, C., & O’Reilly, G.
Affiliations
  • University of Southampton (GB)
  • University College Dublin (IE)
Corresponding author
Twomey, Conal
Venue
Australian & New Zealand Journal of Psychiatry
Published
2016-07-11
Volume
51
Issue
3
Pages
260-269
ISSN
  • 0004-8674 (ISSN-L)
  • 1440-1614
OpenAlex
W2462271652
Cited by
133
References
39
Citations by year
2026: 8 · 2025: 12 · 2024: 9 · 2023: 13 · 2022: 25 · 2021: 13 · 2020: 9 · 2019: 16 · 2018: 11 · 2017: 14 · 2016: 2 · 2013: 1
FWCI
2.31
Type
journal article
Language
en
Open access
closed
Locations
  • Australian & New Zealand Journal of Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Keywords
MoodGYM, computerized cognitive behavioral therapy, depression, anxiety, psychological distress, online intervention, medication adherence, publication bias, population-level interventions
MeSH terms
Anxiety, Depression, Humans, Therapy, Computer-Assisted, Cognitive Behavioral Therapy, Outcome Assessment, Health Care, Internet

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