Cited by 264Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMobile Health and mHealth Applications

Impact of a mobile phone and web program on symptom and functional outcomes for people with mild-to-moderate depression, anxiety and stress: a randomised controlled trial

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Proudfoot, Judith, Clarke, Janine, Birch, Mary-Rose, Whitton, Alexis E, Parker, Gordon, Manicavasagar, Vijaya, Harrison, Virginia, Christensen, Helen +1 more·2013·BMC Psychiatry

Abstract

BACKGROUND: Mobile phone-based psychological interventions enable real time self-monitoring and self-management, and large-scale dissemination. However, few studies have focussed on mild-to-moderate symptoms where public health need is greatest, and none have targeted work and social functioning. This study reports outcomes of a CONSORT-compliant randomised controlled trial (RCT) to evaluate the efficacy of myCompass, a self-guided psychological treatment delivered via mobile phone and computer, designed to reduce mild-to-moderate depression, anxiety and stress, and improve work and social functioning. METHOD: Community-based volunteers with mild-to-moderate depression, anxiety and/or stress (N = 720) were randomly assigned to the myCompass program, an attention control intervention, or to a waitlist condition for seven weeks. The interventions were fully automated, without any human input or guidance. Participants' symptoms and functioning were assessed at baseline, post-intervention and 3-month follow-up, using the Depression, Anxiety and Stress Scale and the Work and Social Adjustment Scale. RESULTS: Retention rates at post-intervention and follow-up for the study sample were 72.1% (n = 449) and 48.6% (n = 350) respectively. The myCompass group showed significantly greater improvement in symptoms of depression, anxiety and stress and in work and social functioning relative to both control conditions at the end of the 7-week intervention phase (between-group effect sizes ranged from d = .22 to d = .55 based on the observed means). Symptom scores remained at near normal levels at 3-month follow-up. Participants in the attention control condition showed gradual symptom improvement during the post-intervention phase and their scores did not differ from the myCompass group at 3-month follow-up. CONCLUSIONS: The myCompass program is an effective public health program, facilitating rapid improvements in symptoms and in work and social functioning for individuals with mild-to-moderate mental health problems. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN 12610000625077.

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Crossref · 10.1186/1471-244x-13-312

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  • The various AI-augmented applications presented in this review have achieved encouraging positive mental health outcomes, while leveraging and supporting the benefits of online platforms, including scalability, versatility, cost-effectiveness, and personalization.

    “The various AI-augmented applications presented in this review have achieved encouraging positive mental health outcomes, while leveraging and supporting the benefits of online platforms, including scalability, versatility, cost-effectiveness, and personalization (8, 9, 95–97).”

    From Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024) · cites this paper as [96]

    Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

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  • The myCompass 2 program is highly similar to the original myCompass program.

    “The reason for this null finding was unclear, as the program is highly similar to the original myCompass program (Proudfoot et al., 2013)”

    From Predictors of acceptability and engagement in a self-guided online program for depression and anxiety (2021) · cites this paper as Proudfoot et al., 2013

    The Methods > Interventions passages describe the original myCompass program, including symptom self-monitoring and skill-building modules (page not provided). The paper does not describe myCompass 2, so it cannot establish that the two programs are highly similar. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Particularly in panic disorder, the use of mobile tools in treatment is promising because treatment intervenes where panic attacks take place, in the everyday lives of those affected.

    “Particularly in the case of PD, the use of mobile tools in treatment is promising, as the treatment intervenes where panic attacks take place, namely in the everyday lives of those affected (Christoforou et al., 2017; Ivanova et al., 2016; Proudfoot et al., 2013).”

    From A mobile application for panic disorder and agoraphobia: Insights from a multi-methods feasibility study (2020) · cites this paper as Proudfoot et al., 2013

    The Background (page unavailable) says mobile phones can provide psychotherapeutic advice in real time and real-world contexts, supporting the everyday-life rationale. The Methods > Interventions section describes real-time symptom monitoring, and the Discussion reports benefits for people with depression, anxiety and stress. The paper does not specifically address panic disorder or show that the intervention reaches people where panic attacks occur. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • For secondary hypotheses (H3-4), a sample of 110 per condition is required to find a small effect size of f = 0.18 between active conditions relative to control over three assessment time points with 90% power (α = .05, r = 0.5).

    “For secondary hypotheses (H3-4), a sample of 110 per condition is required to find a small effect size of f = 0.18 (based on a previous study by Proudfoot et al. [29]) between active conditions relative to control over the three assessment time points (baseline, post, and 6 month follow-up) with 90% power ( α = .05, r = 0.5 between repeated measures).”

    From A brief intervention to increase uptake and adherence of an online program for depression and anxiety: Protocol for the Enhancing Engagement with Psychosocial Interventions (EEPI) Randomized Controlled Trial (2019) · cites this paper as [29]

    The Methods (Sample & setting) estimate a small between-group effect of d = 0.2, and the Results (Effect size, Table 5) report effects as Cohen’s d. The cited paper does not report f = 0.18, so it supports using a small effect as a basis for planning but not the specific effect-size value attributed to it. The 110-per-condition power calculation is the citing authors’ own, not a result attributed to Proudfoot et al. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • A transdiagnostic EMI comprising online CBT modules and SMS reminders for treating stress and anxiety was associated with lower stress levels than a waitlist control (d = 0.34 at post-test).

    “A study evaluating a transdiagnostic EMI comprising online CBT modules and SMS reminders for treating stress and anxiety 37 was associated with lower stress levels than a waitlist control ( d = 0.34 at post-test).”

    From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [37]

    The Methods > Interventions section describes myCompass as offering online modules derived partly from CBT and optional SMS reminders. Results > Outcomes at post-intervention reports significantly greater improvement in stress than the waitlist group. However, Table 5 in Results > Effect size gives the post-test stress effect as d = .35 using observed means or .28 using estimated marginal means, not .34; no page numbers are provided in our copy. (LLM, conf=0.90)

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Authors
Proudfoot, J., Clarke, J., Birch, M.-R., Whitton, A. E., Parker, G., Manicavasagar, V., Harrison, V., Christensen, H., & Hadzi-Pavlovic, D.
Affiliations
  • Black Dog Institute (AU)
  • UNSW Sydney (AU)
Corresponding author
Proudfoot, Judith
Venue
BMC Psychiatry
Published
2013-11-18
Volume
13
Issue
1
Pages
312-312
ISSN
1471-244X (ISSN-L)
OpenAlex
W2122677855
Cited by
264
References
33
Citations by year
2026: 4 · 2025: 5 · 2024: 17 · 2023: 21 · 2022: 20 · 2021: 25 · 2020: 29 · 2019: 24 · 2018: 30 · 2017: 33 · 2016: 21 · 2015: 25 · 2014: 10
FWCI
28.76
Type
journal article
Language
en
Open access
Locations
  • BMC Psychiatry (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Open Research Online - ORO (The Open University) (acceptedVersion)
  • UNSWorks (UNSW Sydney) (submittedVersion, cc-by-nc-nd)
Funders
  • Australian Government
  • Medical Research Council
  • National Health and Medical Research Council (510135)
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 › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
self-guided treatment, mild to moderate depression, anxiety, stress, work functioning, social functioning, automated intervention, treatment retention
MeSH terms
Adolescent, Adult, Aged, Anxiety, Depression, Female, Humans, Male, Middle Aged, Patient Compliance, Self Care, Severity of Illness Index, Social Adjustment, Stress, Psychological, Therapy, Computer-Assisted, Program Evaluation, Treatment Outcome, Internet, Cell Phone

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