The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials.
Joseph Firth,John Torous,Jennifer Nicholas,Rebekah Carney,Abhishek Pratap,Simon Rosenbaum,Jerome Sarris +6 more
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TLDR
Results indicate that smartphone devices are a promising self‐management tool for depression, and future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.About:
This article is published in World Psychiatry.The article was published on 2017-10-01 and is currently open access. It has received 590 citations till now. The article focuses on the topics: mHealth & Psychological intervention.read more
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High-performance medicine: the convergence of human and artificial intelligence
TL;DR: Over time, marked improvements in accuracy, productivity, and workflow will likely be actualized, but whether that will be used to improve the patient–doctor relationship or facilitate its erosion remains to be seen.
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Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow
TL;DR: In this article, the authors argue that now is the time to accelerate and bend the curve on digital health and discuss the need for workforce training, high-quality evidence, and digital equity among other factors critical for bending the curve further.
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Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements.
John Torous,Jennifer Nicholas,Mark E. Larsen,Mark E. Larsen,Joseph Firth,Helen Christensen,Helen Christensen +6 more
TL;DR: Current challenges surrounding user engagement with mental health smartphone apps are reviewed, and several solutions are proposed and successful examples of mental health apps with high engagement are highlighted.
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The efficacy of app-supported smartphone interventions for mental health problems: a meta-analysis of randomized controlled trials.
TL;DR: The efficacy of app‐supported smartphone interventions for common mental health problems was confirmed and the potential of apps to serve as a cost‐effective, easily accessible, and low intensity intervention for those who cannot receive standard psychological treatment was highlighted.
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An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study
TL;DR: A preliminary real-world data evaluation of the effectiveness and engagement levels of an AI-enabled, empathetic, text-based conversational mobile mental well-being app, Wysa, on users with self-reported symptoms of depression shows promise.
References
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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
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The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
TL;DR: The CES-D scale as discussed by the authors is a short self-report scale designed to measure depressive symptomatology in the general population, which has been used in household interview surveys and in psychiatric settings.
Journal Article
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
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The Hospital Anxiety and Depression Scale.
A. S. Zigmond,R. P. Snaith +1 more
TL;DR: It is suggested that the introduction of the scales into general hospital practice would facilitate the large task of detection and management of emotional disorder in patients under investigation and treatment in medical and surgical departments.
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Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
TL;DR: A structured summary is provided including, as applicable, background, objectives, data sources, study eligibility criteria, participants, interventions, study appraisal and synthesis methods, results, limitations, conclusions and implications of key findings.