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
Open accessAbstract
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.
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.
Integrity signals
Registry
Cites
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.
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 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.
Experimental — accuracy not yet measuredThe 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 measuredParticularly 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 measuredFor 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 measuredA 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)
Experimental — accuracy not yet measured
Studies examining EMIs in reducing stress demonstrated positive effects for EMI relative to controls.
“Studies examining EMIs in reducing stress demonstrated positive effects for EMI relative to controls. 34,36,37”
From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [37]
The Results (Outcomes at post-intervention; page not available) report significantly greater improvement in stress for myCompass than for the waitlist group. They do not report a significant stress benefit over the attention-control group, so the claim is supported for one control condition but overgeneralizes across controls. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe original myCompass self-guided program has been shown to reduce symptoms of depression and anxiety in previous community studies (n = 89; n = 720).
“The original myCompass self-guided program has been shown to reduce symptoms of depression and anxiety in previous community studies (n = 89; n = 720) (Clarke et al., 2016; 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
Some mobile health apps have demonstrated efficacy in definitive trials.
“While some apps have demonstrated efficacy in definitive trials [2-5], others have performed poorly [6-9].”
From A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review (2019) · cites this paper as [2]
Dropout attrition in the intervention arm of the RCT was high, especially among employed participants.
“dropout attrition in the intervention arm of the RCT was high, especially among employed participants.”
From Therapeutic alliance with a fully automated mobile phone and web-based intervention: secondary analysis of a randomized controlled trial (2016) · cites this paper as [28]
We found only one randomized clinical trial specifically targeting adults with mild-to-moderate depression.
“We found only one such study specifically targeting adults with mild-to-moderate depression [50,51].”
From MoodHacker Mobile Web App With Email for Adults to Self-Manage Mild-to-Moderate Depression: Randomized Controlled Trial (2016) · cites this paper as [50]
Treatment gains in the myCompass study were maintained at 3-month follow-up, and improvements in the attention control condition matched those of the myCompass group.
“Treatment gains were maintained at 3-month follow-up, and improvements in the attention control condition matched those of the myCompass group [50].”
From MoodHacker Mobile Web App With Email for Adults to Self-Manage Mild-to-Moderate Depression: Randomized Controlled Trial (2016) · cites this paper as [50]
In the myCompass study, participants who used the CBT-based myCompass app reported improvements in depression and anxiety at 7-week post-test compared to an attention control intervention and a waiting list condition.
“In this study, participants who used the CBT-based myCompass app, delivered via mobile phone and Internet, reported improvements in depression and anxiety at 7-week post-test compared to an attention control intervention and a waiting list condition.”
From MoodHacker Mobile Web App With Email for Adults to Self-Manage Mild-to-Moderate Depression: Randomized Controlled Trial (2016) · cites this paper as [50]
People experiencing severe depression and anxiety symptoms, and frequent suicidal ideation, use DMHIs once they are released into the community, although the programs are often not designed for these clients.
“Another important clinical consideration is that people experiencing severe depression and anxiety symptoms, and frequent suicidal ideation, use DMHIs once they are released into the community, although the programs are often not designed for these clients (eg, myCompass and THIS WAY UP) [40-42].”
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
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391 · see citing works
Lovibond, P. F., & Lovibond, S. H. (1995) · Behaviour Research and Therapy · doi:10.1016/0005-7967(94)00075-u · Cited by 14,523 · see citing works
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
the CONSORT Group, Schulz, K. F., Altman, D. G., & Moher, D. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-18 · Cited by 13,371 · see citing works
(1995) · Cited by 6,909 · see citing works
No health without mental health
Prince, M. J., Patel, V., Saxena, S., Maj, M., Maselko, J., Phillips, M. R., & Rahman, A. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61238-0 · Cited by 3,835 · see citing works
Gulliver, A., Griffiths, K. M., & Christensen, H. (2010) · BMC Psychiatry · doi:10.1186/1471-244x-10-113 · Cited by 3,292 · see citing works
Self-citationFerrari, A. J., Charlson, F. J., Norman, R. E., Patten, S. B., Freedman, G., Murray, C. J. L., Vos, T., & Whiteford, H. A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001547 · Cited by 3,115 · see citing works
The Work and Social Adjustment Scale: a simple measure of impairment in functioning
Mundt, J. C., Marks, I. M., Shear, M. K., & Greist, J. M. (2002) · British Journal of Psychiatry · doi:10.1192/bjp.180.5.461 · Cited by 2,515 · see citing works
Internet-Based and Other Computerized Psychological Treatments for Adult Depression: A Meta-Analysis
Andersson, G., & Cuijpers, P. (2009) · Cognitive Behaviour Therapy · doi:10.1080/16506070903318960 · Cited by 1,368 · see citing works
Andrews, G., Cuijpers, P., Craske, M. G., McEvoy, P., & Titov, N. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013196 · Cited by 1,311 · see citing works
Adherence in Internet Interventions for Anxiety and Depression
Christensen, H., Griffiths, K. M., & Farrer, L. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1194 · Cited by 1,133 · see citing works
Self-citationBarriers to mental health treatment: results from the National Comorbidity Survey Replication
Mojtabai, R., Olfson, M., Sampson, N. A., Jin, R., Druss, B., Wang, P. S., Wells, K. B., Pincus, H. A., & Kessler, R. C. (2011) · Psychological Medicine · doi:10.1017/s0033291710002291 · Cited by 951 · see citing works
Cuijpers, P., Donker, T., van Straten, A., Li, J., & Andersson, G. (2010) · Psychological Medicine · doi:10.1017/s0033291710000772 · Cited by 832 · see citing works
Development and validation of an Overall Anxiety Severity and Impairment Scale (OASIS)
Norman, S. B., Hami Cissell, S., Means-Christensen, A. J., & Stein, M. B. (2006) · Depression and Anxiety · doi:10.1002/da.20182 · Cited by 770 · see citing works
Methods for Handling Missing Data
Graham, J. A., Cumsille, P. E., & Elek, E. (2003) · Handbook of Psychology · doi:10.1002/0471264385.wei0204 · Cited by 658 · see citing works
Psychosis Screening Questionnaire
Bebbington, P., & Nayani, T. (1995) · PsycTESTS Dataset · doi:10.1037/t30040-000 · Cited by 546 · see citing works
Design and Analysis of Quality of Life Studies in Clinical Trials
Fairclough, D. L. (2002) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420035438 · Cited by 477 · see citing works
The economic burden of depression and the cost-effectiveness of treatment
Wang, P. S., Simon, G., & Kessler, R. C. (2003) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.139 · Cited by 403 · see citing works
Berger, T., Hämmerli, K., Gubser, N., Andersson, G., & Caspar, F. (2011) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2011.616531 · Cited by 383 · see citing works
Meyer, B., Berger, T., Caspar, F., Beevers, C. G., Andersson, G., & Weiss, M. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1151 · Cited by 363 · cited 1× · see citing works
“[22] provide data supporting the psychometric adequacy of the WSAS when administered in an online format.”
MethodAnalyzing Longitudinal Data With the Linear Mixed Models Procedure in SPSS
West, B. T. (2009) · Evaluation & the Health Professions · doi:10.1177/0163278709338554 · Cited by 358 · see citing works
CBT for depression: a pilot RCT comparing mobile phone vs. computer
Watts, S., Mackenzie, A., Thomas, C., Griskaitis, A., Mewton, L., Williams, A., & Andrews, G. (2013) · BMC Psychiatry · doi:10.1186/1471-244x-13-49 · Cited by 329 · see citing works
Internet-based mental health programs: A powerful tool in the rural medical kit
Griffiths, K. M., & Christensen, H. (2007) · Australian Journal of Rural Health · doi:10.1111/j.1440-1584.2007.00859.x · Cited by 270 · cited 1× · see citing works
“Web-based psychological interventions can facilitate access to empirically supported treatments, and are popular with users [9], cost-effective [10] and clinically efficacious, with effect sizes similar to face-to-face therapy [11].”
BackgroundSelf-citationMobile mental health: Review of the emerging field and proof of concept study
Harrison, V., Proudfoot, J., Wee, P. P., Parker, G., Pavlovic, D. H., & Manicavasagar, V. (2011) · Journal of Mental Health · doi:10.3109/09638237.2011.608746 · Cited by 267 · see citing works
Self-citationDesign and Analysis of Quality of Life Studies in Clinical Trials
Fairclough, D. L. (2010) · Chapman & Hall/CRC eBooks · doi:10.1201/9781420061185 · Cited by 231 · see citing works
Reid, S. C., Kauer, S. D., Hearps, S. J., Crooke, A. H., Khor, A. S., Sanci, L. A., & Patton, G. C. (2011) · BMC Family Practice · doi:10.1186/1471-2296-12-131 · Cited by 192 · see citing works
Powell, J., Hamborg, T., Stallard, N., Burls, A., McSorley, J., Bennett, K., Griffiths, K. M., & Christensen, H. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2240 · Cited by 156 · see citing works
Self-citationMethods for Handling Missing Data
Graham, J. A., Cumsille, P. E., & Shevock, A. E. (2012) · Handbook of Psychology, Second Edition · doi:10.1002/9781118133880.hop202004 · Cited by 128 · see citing works
Placebo response in depression: Bane of research, boon to therapy
Andrews, G. (2001) · The British Journal of Psychiatry · doi:10.1192/bjp.178.3.192 · Cited by 127 · see citing works
Proudfoot, J. (2013) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867412471441 · Cited by 126 · see citing works
Self-citationZlomke, K. R. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.06.003 · Cited by 96 · see citing works
Placebo response in depression
Sonawalla, S. B., & Rosenbaum, J. F. (2002) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2002.4.1/ssonawalla · Cited by 84 · see citing works
Online Cognitive–Behavioural Treatment of Bulimic Symptoms: A Randomized Controlled Trial
Ruwaard, J., Lange, A., Broeksteeg, J., Renteria‐Agirre, A., Schrieken, B., Dolan, C. V., & Emmelkamp, P. (2013) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.1767 · Cited by 75 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017) · World Psychiatry · doi:10.1002/wps.20472 · Cited by 1,097 · see citing works
Linardon, J., Cuijpers, P., Carlbring, P., Messer, M., & Fuller‐Tyszkiewicz, M. (2019) · World Psychiatry · doi:10.1002/wps.20673 · Cited by 886 · see citing works
Firth, J., Torous, J., Nicholas, J., Carney, R., Rosenbaum, S., & Sarris, J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.04.046 · Cited by 675 · see citing works
Torous, J., Lipschitz, J., Ng, M., & Firth, J. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.167 · Cited by 546 · see citing works
Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences
Anderson, K., Burford, O., & Emmerton, L. (2016) · PLOS ONE · doi:10.1371/journal.pone.0156164 · Cited by 502 · see citing works
Rathbone, A. L., & Prescott, J. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7740 · Cited by 497 · see citing works
Ben-Zeev, D., Scherer, E. A., Wang, R., Xie, H., & Campbell, A. T. (2015) · Psychiatric Rehabilitation Journal · doi:10.1037/prj0000130 · Cited by 429 · see citing works
Depression and chronic pain in the elderly: links and management challenges
Zis, P., Daskalaki, A., Bountouni, I., Sykioti, P., Varrassi, G., & Paladini, A. (2017) · Clinical Interventions in Aging · doi:10.2147/cia.s113576 · Cited by 458 · see citing works
Jakob, R., Harperink, S., Rudolf, A. M., Fleisch, E., Haug, S., Mair, J. L., Salamanca-Sanabria, A., & Kowatsch, T. (2022) · Journal of Medical Internet Research · doi:10.2196/35371 · Cited by 446 · see citing works
Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.
Harkin, B., Webb, T. L., Chang, B. P. I., Prestwich, A., Conner, M., Kellar, I., Benn, Y., & Sheeran, P. (2016) · Psychological Bulletin · doi:10.1037/bul0000025 · Cited by 564 · see citing works
ICBT in routine care: A descriptive analysis of successful clinics in five countries
Titov, N., Dear, B., Nielssen, O., Staples, L., Hadjistavropoulos, H., Nugent, M., Adlam, K., Nordgreen, T., Bruvik, K. H., Hovland, A., et al. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.07.006 · Cited by 353 · see citing works
IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety
Mohr, D. C., Tomasino, K. N., Lattie, E. G., Palac, H. L., Kwasny, M. J., Weingardt, K., Karr, C. J., Kaiser, S. M., Rossom, R. C., Bardsley, L. R., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6645 · Cited by 301 · see citing works
A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression
Huguet, A., Rao, S., McGrath, P. J., Wozney, L., Wheaton, M., Conrod, J., & Rozario, S. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154248 · Cited by 328 · see citing works
Just-in-the-Moment Adaptive Interventions (JITAI): A Meta-Analytical Review
Wang, L., & Miller, L. C. (2020) · Health Communication · doi:10.1080/10410236.2019.1652388 · Cited by 264 · see citing works
Prevention of stroke: a strategic global imperative
Feigin, V. L., Norrving, B., George, M. G., Foltz, J. L., Roth, G. A., & Mensah, G. A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.107 · Cited by 250 · see citing works
Sander, L., Rausch, L., & Baumeister, H. (2016) · JMIR Mental Health · doi:10.2196/mental.6061 · Cited by 218 · see citing works
mHealth in the Wild: Using Novel Data to Examine the Reach, Use, and Impact of PTSD Coach
Owen, J. E., Jaworski, B. K., Kuhn, E., Makin-Byrd, K. N., Ramsey, K. M., & Hoffman, J. E. (2015) · JMIR Mental Health · doi:10.2196/mental.3935 · Cited by 216 · see citing works
“Emerging research on the usability, feasibility, and efficacy of mHealth interventions demonstrates promise [3,9].”
Mantani, A., Kato, T., Furukawa, T. A., Horikoshi, M., Imai, H., Hiroe, T., Chino, B., Funayama, T., Yonemoto, N., Zhou, Q., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8602 · Cited by 192 · see citing works
Smartphone Apps for the Treatment of Mental Disorders: Systematic Review
Miralles, I., Granell, C., Díaz-Sanahuja, L., Van Woensel, W., Bretón-López, J., Mira, A., Castilla, D., & Casteleyn, S. (2020) · JMIR mHealth and uHealth · doi:10.2196/14897 · Cited by 188 · see citing works
Versluis, A., Verkuil, B., Spinhoven, P., van der Ploeg, M. M., & Brosschot, J. F. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5642 · Cited by 186 · see citing works
Pocket Skills: A Conversational Mobile Web App To Support Dialectical Behavioral Therapy
Schroeder, J., Wilkes, C., Rowan, K., Toledo, A., Paradiso, A., Czerwinski, M., Mark, G., & Linehan, M. M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173972 · Cited by 175 · see citing works
Birney, A. J., Gunn, R., Russell, J. K., & Ary, D. V. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4231 · Cited by 159 · see citing works
“We found only one such study specifically targeting adults with mild-to-moderate depression [50,51].”
Egede, L. E., Acierno, R. E., Knapp, R. G., Lejuez, C. W., Hernandez‐Tejada, M. A., Payne, E. H., & Frueh, B. C. (2015) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00122-4 · Cited by 177 · see citing works
Mobile Assessment Procedures for Mental Health and Literacy Skills in Education
Stathopoulou, A., Karabatzaki, Z., Kokkalia, G., Dimitriou, E., Loukeri, P. I., Economou, A., & Drigas, A. S. (2018) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v12i3.8038 · Cited by 164 · see citing works
Kerst, A., Zielasek, J., & Gäebel, W. (2019) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-018-0974-3 · Cited by 158 · see citing works
Clarke, J., Proudfoot, J., Birch, M.-R., Whitton, A. E., Parker, G., Manicavasagar, V., Harrison, V., Christensen, H., & Hadzi-Pavlovic, D. (2014) · BMC Psychiatry · doi:10.1186/s12888-014-0272-1 · Cited by 138 · see citing works
Self-citationPham, Q., Graham, G., Carrion, C., Morita, P. P., Seto, E., Stinson, J. N., & Cafazzo, J. A. (2019) · JMIR mHealth and uHealth · doi:10.2196/11941 · Cited by 131 · see citing works
Digital Mental Health Interventions for Depression: Scoping Review of User Engagement
Lipschitz, J. M., Van Boxtel, R., Torous, J., Firth, J., Lebovitz, J. G., Burdick, K. E., & Hogan, T. P. (2022) · Journal of Medical Internet Research · doi:10.2196/39204 · Cited by 105 · see citing works
“A total of 22 independent studies [13,15,21-40] were ultimately eligible for inclusion.”
McCloud, T. L., Jones, R., Lewis, G., Bell, V., & Tsakanikos, E. (2020) · JMIR mhealth and uhealth · doi:10.2196/15418 · Cited by 122 · see citing works
Commercial Off-The-Shelf Video Games for Reducing Stress and Anxiety: Systematic Review
Pallavicini, F., Pepe, A., & Mantovani, F. (2021) · JMIR Mental Health · doi:10.2196/28150 · Cited by 127 · see citing works
Yang, Q., & Van Stee, S. K. (2019) · JMIR mHealth and uHealth · doi:10.2196/11244 · Cited by 113 · see citing works
Mobile Phone Apps to Support Heart Failure Self-Care Management: Integrative Review
Athilingam, P. R., & Jenkins, B. (2018) · JMIR Cardio · doi:10.2196/10057 · Cited by 113 · see citing works
The smart therapist: A look to the future of smartphones and mHealth technologies in psychotherapy.
Clough, B. A., & Casey, L. M. (2015) · Professional Psychology Research and Practice · doi:10.1037/pro0000011 · Cited by 106 · see citing works
Loo Gee, B., Griffiths, K. M., & Gulliver, A. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv043 · Cited by 92 · see citing works
Tindall, L., Mikocka‐Walus, A. A., McMillan, D., Wright, B., Hewitt, C. E., & Gascoyne, S. (2017) · Psychology and Psychotherapy Theory Research and Practice · doi:10.1111/papt.12121 · Cited by 106 · see citing works
Randomized controlled pilot trial of supportive text messages for patients with depression
Agyapong, V. I. O., Juhás, M., Ohinmaa, A. E., Omeje, J., Mrklas, K., Suen, V. Y. M., Dursun, S. M., & Greenshaw, A. J. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1448-2 · Cited by 102 · see citing works
Clarke, J., Proudfoot, J., Whitton, A., Birch, M.-R., Boyd, M., Parker, G., Manicavasagar, V., Hadzi-Pavlovic, D., & Fogarty, A. (2016) · JMIR Mental Health · doi:10.2196/mental.4656 · Cited by 86 · see citing works
Self-citationA mobile app–based intervention for depression: end-user and expert usability testing study
Fuller-Tyszkiewicz, M., Richardson, B., Klein, B., Skouteris, H., Christensen, H., Austin, D., Castle, D., Mihalopoulos, C., O'Donnell, R., Arulkadacham, L., et al. (2018) · JMIR Mental Health · doi:10.2196/mental.9445 · Cited by 98 · see citing works
Self-citationReins, J. A., Buntrock, C., Zimmermann, J., Grund, S., Harrer, M., Lehr, D., Baumeister, H., Weisel, K. K., Domhardt, M., Imamura, K., et al. (2020) · Psychotherapy and Psychosomatics · doi:10.1159/000507819 · Cited by 97 · see citing works
Mental Health Apps: Innovations, Risks and Ethical Considerations
Giota, K. G., & Kleftaras, G. (2014) · E-Health Telecommunication Systems and Networks · doi:10.4236/etsn.2014.33003 · Cited by 89 · see citing works
Matsumoto, K., Sutoh, C., Asano, K., Seki, Y., Urao, Y., Yokoo, M., Takanashi, R., Yoshida, T., Tanaka, M., Noguchi, R., et al. (2018) · Journal of Medical Internet Research · doi:10.2196/12091 · Cited by 83 · see citing works
Zhou, T., Li, X., Pei, Y., Gao, J., & Kong, J. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-1061-9 · Cited by 89 · see citing works
Mental health related Internet use among psychiatric patients: a cross-sectional analysis
Kalckreuth, S., Trefflich, F., & Rummel-Kluge, C. (2014) · BMC Psychiatry · doi:10.1186/s12888-014-0368-7 · Cited by 86 · see citing works
Sin, J., Galeazzi, G. M., McGregor, E., Collom, J., Taylor, A. F., Barrett, B. M., Lawrence, V. C., & Henderson, C. (2020) · Journal of Medical Internet Research · doi:10.2196/20581 · Cited by 80 · see citing works
Bakker, D., & Rickard, N. S. (2019) · Australian Psychologist · doi:10.1111/ap.12383 · Cited by 72 · see citing works
Gutierrez, G., Stephenson, C., Eadie, J., Asadpour, K., & Alavi, N. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1356773 · Cited by 71 · see citing works
Digital Technologies in the Treatment of Anxiety: Recent Innovations and Future Directions
Firth, J., Torous, J., Carney, R., Newby, J., Cosco, T. D., Christensen, H., & Sarris, J. (2018) · Current Psychiatry Reports · doi:10.1007/s11920-018-0910-2 · Cited by 70 · see citing works
Self-citationA health app developer’s guide to law and policy: a multi-sector policy analysis
Parker, L., Karliychuk, T., Gillies, D., Mintzes, B., Raven, M., & Grundy, Q. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0535-0 · Cited by 71 · see citing works
Whitton, A. E., Proudfoot, J., Clarke, J., Birch, M.-R., Parker, G., Manicavasagar, V., & Hadzi-Pavlovic, D. (2015) · JMIR Mental Health · doi:10.2196/mental.3573 · Cited by 69 · see citing works
Self-citationWhat might get in the way: Barriers to the use of apps for depression
Stiles-Shields, C., Montague, E., Lattie, E. G., Kwasny, M. J., & Mohr, D. C. (2017) · DIGITAL HEALTH · doi:10.1177/2055207617713827 · Cited by 68 · see citing works
Psychotherapies for adult depression: recent developments
Cuijpers, P. (2015) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000121 · Cited by 64 · see citing works
Menon, V., Rajan, T. M., & Sarkar, S. (2017) · Indian Journal of Psychological Medicine · doi:10.4103/0253-7176.198956 · Cited by 63 · see citing works
NeCamp, T., Sen, S., Frank, E., Walton, M. A., Ionides, E. L., Fang, Y., Tewari, A., & Wu, Z. (2020) · Journal of Medical Internet Research · doi:10.2196/15033 · Cited by 55 · see citing works
Solomon, D., Proudfoot, J., Clarke, J., & Christensen, H. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4207 · Cited by 55 · see citing works
“Details of the myCompass trial have been published elsewhere [8].”
Self-citationMultimodal assessment of depression from behavioral signals
Cohn, J. F., Cummins, N., Epps, J., Goecke, R., Joshi, J., & Scherer, S. J. (2018) · ACM eBooks · doi:10.1145/3107990.3108004 · Cited by 55 · see citing works
Reynolds, J., Griffiths, K., Cunningham, J., Bennett, K., & Bennett, A. (2015) · JMIR Mental Health · doi:10.2196/mental.4200 · Cited by 61 · see citing works
Clarke, J., Sanatkar, S., Baldwin, P. A., Fletcher, S., Gunn, J., Wilhelm, K., Campbell, L., Zwar, N., Harris, M., Lapsley, H., et al. (2019) · Journal of Medical Internet Research · doi:10.2196/12246 · Cited by 52 · see citing works
Self-citationAcceptability of Digital Mental Health Interventions for Depression and Anxiety: Systematic Review
Lau, C. K. Y., Saad, A., Camara, B., Rahman, D., & Bolea-Alamanac, B. (2024) · Journal of Medical Internet Research · doi:10.2196/52609 · Cited by 51 · see citing works
Boettcher, J., Magnusson, K., Marklund, A., Berglund, E., Blomdahl, R., Braun, U., Delin, L., Lundén, C., Sjöblom, K., Sommer, D., et al. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.04.052 · Cited by 47 · see citing works
A Gamified Smartphone-Based Intervention for Depression: Randomized Controlled Pilot Trial
Lukas, C. A., Eskofier, B., & Berking, M. (2021) · JMIR Mental Health · doi:10.2196/16643 · Cited by 49 · see citing works
The role of digital mental health resources to treat trauma symptoms in Australia during COVID-19.
Marshall, J. M., Dunstan, D. A., & Bartik, W. J. (2020) · Psychological Trauma Theory Research Practice and Policy · doi:10.1037/tra0000627 · Cited by 49 · see citing works
Gulliver, A., Calear, A. L., Sunderland, M., Kay-Lambkin, F., Farrer, L. M., & Batterham, P. J. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100400 · Cited by 44 · see citing works
“The reason for this null finding was unclear, as the program is highly similar to the original myCompass program (Proudfoot et al., 2013), although it is possible that the low adherence could have impacted on our ability to find evidence for the efficacy of the program in this study (Batterham et…”
MethodResultCarley, J. A., Karp, J. F., Gentili, A., Marcum, Z. A., Reid, M. C., Rodríguez, E., Rossi, M. I., Shega, J. W., Thielke, S. M., & Weiner, D. K. (2015) · Pain Medicine · doi:10.1111/pme.12935 · Cited by 48 · see citing works
Prada, P., Zamberg, I., Bouillault, G., Jimenez, N., Zimmermann, J., Hasler, R., Aubry, J.-M., Nicastro, R., & Perroud, N. (2017) · Perspectives In Psychiatric Care · doi:10.1111/ppc.12178 · Cited by 47 · see citing works
Is big data the new stethoscope? Perils of digital phenotyping to address mental illness
Tekin, Ş. (2021) · Philosophy & Technology · doi:10.1007/s13347-020-00395-7 · Cited by 44 · see citing works
Mamukashvili-Delau, M., Koburger, N., Dietrich, S., & Rummel‐Kluge, C. (2023) · JMIR Mental Health · doi:10.2196/46925 · Cited by 45 · see citing works
Rozbroj, T., Lyons, A., Pitts, M. K., Mitchell, A., & Christensen, H. M. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3529 · Cited by 41 · see citing works
Self-citationMobile Phones and Psychosocial Therapies with Vulnerable People: a First State of the Art
Vázquez, M. Y. G., Sexto, C., Rocha, Á., & Aguilera, A. (2016) · Journal of medical systems · doi:10.1007/s10916-016-0500-y · Cited by 38 · see citing works
Robins–Browne, K., Lewis, M., Burchill, L. J., Gilbert, C. A., Johnson, C., O'Donnell, M. L., Kotevski, A., Poonian, J., & Palmer, V. J. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-061317 · Cited by 44 · see citing works
Control interventions in randomised trials among people with mental health disorders
Faltinsen, E., Todorovac, A., Staxen Bruun, L., Hróbjartsson, A., Gluud, C., Kongerslev, M. T., Simonsen, E., & Storebø, O. J. (2022) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.mr000050.pub2 · Cited by 40 · see citing works
Walsh, S., Golden, E., & Priebe, S. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-008362 · Cited by 42 · see citing works
McCall, H. C., Hadjistavropoulos, H. D., & Sundström, C. (2021) · Journal of Medical Internet Research · doi:10.2196/26939 · Cited by 39 · see citing works
Braciszewski, J. M., Wernette, G. K. T., Moore, R. S., Bock, B. C., Stout, R. L., & Chamberlain, P. (2018) · Children and Youth Services Review · doi:10.1016/j.childyouth.2018.08.011 · Cited by 38 · see citing works
Cicila, L. N., Georgia, E. J., & Doss, B. D. (2014) · Australian and New Zealand Journal of Family Therapy · doi:10.1002/anzf.1077 · Cited by 38 · see citing works
Predictive modeling in e-mental health: A common language framework
Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J., & Riper, H. M. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.03.002 · Cited by 40 · see citing works
Parker, L. M., Bero, L. A., Gillies, D. M., Raven, M. K., & Grundy, Q. (2018) · International Journal of Health Policy and Management · doi:10.15171/ijhpm.2018.117 · Cited by 37 · see citing works
Developing a tailored substance use intervention for youth exiting foster care
Braciszewski, J. M., Tzilos Wernette, G. K., Moore, R. S., Tran, T. B., Bock, B. C., Stout, R. L., Chamberlain, P., & Vose-O’Neal, A. (2018) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2018.01.013 · Cited by 36 · see citing works
Rotondi, A. J., Spring, M. B., Hanusa, B. H., Eack, S. M., & Haas, G. L. (2017) · JMIR Human Factors · doi:10.2196/humanfactors.6221 · Cited by 36 · see citing works
Sanatkar, S., Baldwin, P. A., Huckvale, K., Clarke, J., Christensen, H. M., Harvey, S. B., & Proudfoot, J. G. (2019) · Journal of Medical Internet Research · doi:10.2196/14728 · Cited by 35 · see citing works
Self-citationRathbone, A. L., & Prescott, J. (2018) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.16406 · Cited by 36 · see citing works
Kozlov, E., Bantum, E. O., Pagano, I., Walser, R. D., Ramsey, K. M., Taylor, K. L., Jaworski, B. K., & Owen, J. E. (2020) · JMIR Mental Health · doi:10.2196/23377 · Cited by 33 · see citing works
Kageyama, K., Kato, Y., Mesaki, T., Uchida, H., Takahashi, K., Marume, R., Sejima, Y., & Hirao, K. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.12.104 · Cited by 33 · see citing works
Batterham, P. J., Calear, A. L., Sunderland, M., KAY‐LAMBKIN, F. J., Farrer, L. M., Christensen, H. M., & Gulliver, A. (2021) · Journal of Medical Internet Research · doi:10.2196/23029 · Cited by 34 · see citing works
Self-citationSaad, A., Bruno, D., Camara, B., D’Agostino, J., & Bolea-Alamanac, B. M. (2021) · JMIR Mental Health · doi:10.2196/27404 · Cited by 33 · see citing works
Apps for Depression: Are They Ready to Work?
Porras‐Segovia, A., Díaz-Oliván, I., Gutiérrez-Rojas, L., Dunne, H., Moreno, M., & Baca‐García, E. (2020) · Current Psychiatry Reports · doi:10.1007/s11920-020-1134-9 · Cited by 33 · see citing works
Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study
Pagoto, S., Tulu, B., Agu, E., Waring, M. E., Oleski, J. L., & Jake‐Schoffman, D. E. (2018) · JMIR mhealth and uhealth · doi:10.2196/mhealth.9801 · Cited by 33 · see citing works
Ha, S. W., & Kim, J. (2020) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2020.1750792 · Cited by 32 · see citing works
Leong, Q. Y., Sridhar, S., Blasiak, A., Tadeo, X., Yeo, G., Remus, A., & Ho, D. (2021) · Journal of Medical Internet Research · doi:10.2196/27388 · Cited by 34 · see citing works
Wiseman, H., Mousa, S., Howlett, S., & Reuber, M. (2016) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2016.07.033 · Cited by 32 · see citing works
Featherall, J. T., Lapin, B. R., Chaitoff, A. M., Havele, S. A., Thompson, N. R., & Katzan, I. L. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.7766 · Cited by 33 · see citing works
McCall, T., Ali, M. O., Yu, F., Fontelo, P. A., & Khairat, S. (2021) · JMIR Formative Research · doi:10.2196/24393 · Cited by 31 · see citing works
Whitton, A. E., Hardy, R., Cope, K., Gieng, C., Gow, L., Mackinnon, A. J., Gale, N., O’Moore, K., Anderson, J., Proudfoot, J. G., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/28369 · Cited by 31 · see citing works
Self-citationKock, J. H. D., Latham, H. A., Cowden, R. G., Cullen, B., Narzisi, K., Jerdan, S., Muñoz, S., Leslie, S. J., Stamatis, A., & Eze, J. I. (2022) · JMIR Mental Health · doi:10.2196/34002 · Cited by 36 · see citing works
Ying, Y., Ji, Y., Kong, F., Wang, M., Chen, Q., Wang, L., Hou, Y., Yu, L., Zhu, L., Miao, P., et al. (2022) · Psychological Medicine · doi:10.1017/s0033291722000599 · Cited by 31 · see citing works
Fogarty, A. S., Proudfoot, J. G., Whittle, E. L., Clarke, J., Player, M. J., Christensen, H. M., & Wilhelm, K. A. (2017) · JMIR Mental Health · doi:10.2196/mental.7769 · Cited by 31 · see citing works
Self-citationChow, K., Fritz, T., Holsti, L., Barbic, S. P., & McGrenere, J. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3609330 · Cited by 29 · see citing works
Chow, P. I., Drago, F., Kennedy, E. M., & Cohn, W. F. (2019) · JMIR Cancer · doi:10.2196/15750 · Cited by 28 · see citing works
Ebenfeld, L., Lehr, D., Ebert, D. D., Stegemann, S. K., Riper, H. M., Funk, B., & Berking, M. (2021) · Journal of Medical Internet Research · doi:10.2196/20829 · Cited by 28 · see citing works
Digital Technology for Suicide Prevention
Braciszewski, J. M. (2021) · Advances in Psychiatry and Behavioral Health · doi:10.1016/j.ypsc.2021.05.008 · Cited by 28 · see citing works
Bisby, M. A., Balakumar, T., Scott, A. J., Titov, N., & Dear, B. F. (2023) · Psychological Medicine · doi:10.1017/s003329172300260x · Cited by 28 · see citing works
- 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
- ORCID
- Venue
- BMC Psychiatry
- Published
- 2013-11-18
- Volume
- 13
- Issue
- 1
- Pages
- 312-312
- ISSN
- 1471-244X (ISSN-L)
- PMC
- PMC4225666
- 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
- gold
- doi.org
- Licence
- 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
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