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The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials
Authors:Joseph Firth  John Torous  Jennifer Nicholas  Rebekah Carney  Abhishek Pratap  Simon Rosenbaum  Jerome Sarris
Institution:1. NICM, School of Science and Health, Western Sydney University, Campbelltown, Australia;2. Faculty of Biology, Medicine and Health, Division of Psychology and Mental Health, University of Manchester, Manchester, UK;3. Department of Psychiatry and Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, USA;4. Harvard Medical School, Boston, MA, USA;5. Black Dog Institute, University of New South Wales, Sydney, Australia;6. Faculty of Medicine, School of Psychiatry, University of New South Wales, Sydney, Australia;7. Sage Bionetworks, Seattle, WA, USA;8. Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA;9. Department of Psychiatry, University of Melbourne, Professorial Unit, The Melbourne Clinic, Melbourne, Australia
Abstract:The rapid advances and adoption of smartphone technology presents a novel opportunity for delivering mental health interventions on a population scale. Despite multi‐sector investment along with wide‐scale advertising and availability to the general population, the evidence supporting the use of smartphone apps in the treatment of depression has not been empirically evaluated. Thus, we conducted the first meta‐analysis of smartphone apps for depressive symptoms. An electronic database search in May 2017 identified 18 eligible randomized controlled trials of 22 smartphone apps, with outcome data from 3,414 participants. Depressive symptoms were reduced significantly more from smartphone apps than control conditions (g=0.38, 95% CI: 0.24‐0.52, p<0.001), with no evidence of publication bias. Smartphone interventions had a moderate positive effect in comparison to inactive controls (g=0.56, 95% CI: 0.38‐0.74), but only a small effect in comparison to active control conditions (g=0.22, 95% CI: 0.10‐0.33). Effects from smartphone‐only interventions were greater than from interventions which incorporated other human/computerized aspects along the smartphone component, although the difference was not statistically significant. The studies of cognitive training apps had a significantly smaller effect size on depression outcomes (p=0.004) than those of apps focusing on mental health. The use of mood monitoring softwares, or interventions based on cognitive behavioral therapy, or apps incorporating aspects of mindfulness training, did not affect significantly study effect sizes. Overall, these results indicate that smartphone devices are a promising self‐management tool for depression. Future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.
Keywords:Smartphone technology  mental health interventions  depression  e‐health  mhealth  apps  cognitive training  mood monitoring  cognitive behavioral therapy  mindfulness training
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