Literature DB >> 31496095

The efficacy of app-supported smartphone interventions for mental health problems: a meta-analysis of randomized controlled trials.

Jake Linardon1, Pim Cuijpers2, Per Carlbring3, Mariel Messer1, Matthew Fuller-Tyszkiewicz1,4.   

Abstract

Although impressive progress has been made toward developing empirically-supported psychological treatments, the reality remains that a significant proportion of people with mental health problems do not receive these treatments. Finding ways to reduce this treatment gap is crucial. Since app-supported smartphone interventions are touted as a possible solution, access to up-to-date guidance around the evidence base and clinical utility of these interventions is needed. We conducted a meta-analysis of 66 randomized controlled trials of app-supported smartphone interventions for mental health problems. Smartphone interventions significantly outperformed control conditions in improving depressive (g=0.28, n=54) and generalized anxiety (g=0.30, n=39) symptoms, stress levels (g=0.35, n=27), quality of life (g=0.35, n=43), general psychiatric distress (g=0.40, n=12), social anxiety symptoms (g=0.58, n=6), and positive affect (g=0.44, n=6), with most effects being robust even after adjusting for various possible biasing factors (type of control condition, risk of bias rating). Smartphone interventions conferred no significant benefit over control conditions on panic symptoms (g=-0.05, n=3), post-traumatic stress symptoms (g=0.18, n=4), and negative affect (g=-0.08, n=5). Studies that delivered a cognitive behavior therapy (CBT)-based app and offered professional guidance and reminders to engage produced larger effects on multiple outcomes. Smartphone interventions did not differ significantly from active interventions (face-to-face, computerized treatment), although the number of studies was low (n≤13). The efficacy of app-supported smartphone interventions for common mental health problems was thus confirmed. Although mental health apps are not intended to replace professional clinical services, the present findings highlight the potential of apps to serve as a cost-effective, easily accessible, and low intensity intervention for those who cannot receive standard psychological treatment.
© 2019 World Psychiatric Association.

Entities:  

Keywords:  App-supported smartphone interventions; anxiety; depression; general psychiatric distress; mental health problems; positive affect; psychological treatments

Year:  2019        PMID: 31496095      PMCID: PMC6732686          DOI: 10.1002/wps.20673

Source DB:  PubMed          Journal:  World Psychiatry        ISSN: 1723-8617            Impact factor:   49.548


  66 in total

1.  Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

Authors:  S Duval; R Tweedie
Journal:  Biometrics       Date:  2000-06       Impact factor: 2.571

2.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

3.  Self-help stress management training through mobile phones: an experience with oncology nurses.

Authors:  Daniela Villani; Alessandra Grassi; Chiara Cognetta; Davide Toniolo; Pietro Cipresso; Giuseppe Riva
Journal:  Psychol Serv       Date:  2011-12-12

4.  A power primer.

Authors:  J Cohen
Journal:  Psychol Bull       Date:  1992-07       Impact factor: 17.737

5.  Global mental health: a new global health field comes of age.

Authors:  Vikram Patel; Martin Prince
Journal:  JAMA       Date:  2010-05-19       Impact factor: 56.272

6.  Self-reported versus clinician-rated symptoms of depression as outcome measures in psychotherapy research on depression: a meta-analysis.

Authors:  Pim Cuijpers; Juan Li; Stefan G Hofmann; Gerhard Andersson
Journal:  Clin Psychol Rev       Date:  2010-06-18

7.  Internet-based and other computerized psychological treatments for adult depression: a meta-analysis.

Authors:  Gerhard Andersson; Pim Cuijpers
Journal:  Cogn Behav Ther       Date:  2009

8.  Self-monitoring using mobile phones in the early stages of adolescent depression: randomized controlled trial.

Authors:  Sylvia Deidre Kauer; Sophie Caroline Reid; Alexander Hew Dale Crooke; Angela Khor; Stephen John Charles Hearps; Anthony Francis Jorm; Lena Sanci; George Patton
Journal:  J Med Internet Res       Date:  2012-06-25       Impact factor: 5.428

9.  Behavioural activation versus mindfulness-based guided self-help treatment administered through a smartphone application: a randomised controlled trial.

Authors:  Kien Hoa Ly; Anna Trüschel; Linnea Jarl; Susanna Magnusson; Tove Windahl; Robert Johansson; Per Carlbring; Gerhard Andersson
Journal:  BMJ Open       Date:  2014-01-09       Impact factor: 2.692

10.  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.

Authors:  Judith Proudfoot; Janine Clarke; Mary-Rose Birch; Alexis E Whitton; Gordon Parker; Vijaya Manicavasagar; Virginia Harrison; Helen Christensen; Dusan Hadzi-Pavlovic
Journal:  BMC Psychiatry       Date:  2013-11-18       Impact factor: 3.630

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  116 in total

1.  Estimating the real-world usage of mobile apps for mental health: development and application of two novel metrics.

Authors:  Akash R Wasil; Sarah Gillespie; Tiffany Schell; Lorenzo Lorenzo-Luaces; Robert J DeRubeis
Journal:  World Psychiatry       Date:  2021-02       Impact factor: 49.548

2.  Scaling evidence-based treatments through digital mental health.

Authors:  Stephen M Schueller; John Torous
Journal:  Am Psychol       Date:  2020-11

3.  Three questions to consider before developing a mental health app.

Authors:  Akash R Wasil; John R Weisz; Robert J DeRubeis
Journal:  World Psychiatry       Date:  2020-06       Impact factor: 49.548

4.  Digital navigators to implement smartphone and digital tools in care.

Authors:  H Wisniewski; J Torous
Journal:  Acta Psychiatr Scand       Date:  2020-01-26       Impact factor: 6.392

5.  Digital solutions for shaping mood and behavior among individuals with mood disorders.

Authors:  Amanda Victory; Allison Letkiewicz; Amy L Cochran
Journal:  Curr Opin Syst Biol       Date:  2020-07-23

6.  Perspectives of e-health interventions for treating and preventing eating disorders: descriptive study of perceived advantages and barriers, help-seeking intentions, and preferred functionality.

Authors:  Jake Linardon; Mariel Messer; Sohee Lee; John Rosato
Journal:  Eat Weight Disord       Date:  2020-09-21       Impact factor: 4.652

7.  A meta-review of "lifestyle psychiatry": the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders.

Authors:  Joseph Firth; Marco Solmi; Robyn E Wootton; Davy Vancampfort; Felipe B Schuch; Erin Hoare; Simon Gilbody; John Torous; Scott B Teasdale; Sarah E Jackson; Lee Smith; Melissa Eaton; Felice N Jacka; Nicola Veronese; Wolfgang Marx; Garcia Ashdown-Franks; Dan Siskind; Jerome Sarris; Simon Rosenbaum; André F Carvalho; Brendon Stubbs
Journal:  World Psychiatry       Date:  2020-10       Impact factor: 49.548

Review 8.  Economic Evaluations of Internet-Based Psychological Interventions for Anxiety Disorders and Depression: A Systematic Review.

Authors:  Lauren M Mitchell; Udita Joshi; Vikram Patel; Chunling Lu; John A Naslund
Journal:  J Affect Disord       Date:  2021-02-05       Impact factor: 4.839

9.  Harnessing mobile technology to reduce mental health disorders in college populations: A randomized controlled trial study protocol.

Authors:  Ellen E Fitzsimmons-Craft; C Barr Taylor; Michelle G Newman; Nur Hani Zainal; Elsa E Rojas-Ashe; Sarah Ketchen Lipson; Marie-Laure Firebaugh; Peter Ceglarek; Naira Topooco; Nicholas C Jacobson; Andrea K Graham; Hyungjin Myra Kim; Daniel Eisenberg; Denise E Wilfley
Journal:  Contemp Clin Trials       Date:  2021-02-11       Impact factor: 2.226

10.  A digital self-report survey of mood for bipolar disorder.

Authors:  Tijana Sagorac Gruichich; Juan Camilo David Gomez; Gabriel Zayas-Cabán; Melvin G McInnis; Amy L Cochran
Journal:  Bipolar Disord       Date:  2021-02-26       Impact factor: 6.744

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