Literature DB >> 28234658

Methodology and Reporting of Mobile Heath and Smartphone Application Studies for Schizophrenia.

John Torous1, Joseph Firth, Nora Mueller, J P Onnela, Justin T Baker.   

Abstract

The increasing prevalence of mobile devices among patients of all demographic groups has the potential to transform the ways we diagnose, monitor, treat, and study mental illness. As new tools and technologies emerge, clinicians and researchers are confronted with an increasing array of options both for clinical assessment, through digital capture of the essential behavioral elements of a condition, and for intervention, through formalized treatments, coaching, and other technology-assisted means of patient communication. And yet, as with any new set of tools for the assessment or treatment of a medical condition, establishing and adhering to reporting guidelines-that is, what works and under what conditions-is an essential component of the translational research process. Here, using the recently published World Health Organization mHealth Evaluation, Reporting and Assessment guidelines for evaluating mobile health applications, we review the methodological strengths and weaknesses of existing studies on smartphones and wearables for schizophrenia. While growing evidence supports the feasibility of using mobile tools in severe mental illness, most studies to date failed to adequately report accessibility, interoperability, costs, scalability, replicability, data security, usability testing, or compliance with national guidelines or regulatory statutes. Future research efforts addressing these specific gaps in the literature will help to advance our understanding and to realize the clinical potential of these new tools of psychiatry.

Entities:  

Mesh:

Year:  2017        PMID: 28234658      PMCID: PMC5419869          DOI: 10.1097/HRP.0000000000000133

Source DB:  PubMed          Journal:  Harv Rev Psychiatry        ISSN: 1067-3229            Impact factor:   3.732


  39 in total

Review 1.  Epidemiology of schizophrenia: the global burden of disease and disability.

Authors:  A Jablensky
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2000       Impact factor: 5.270

Review 2.  An Adjuvant Role for Mobile Health in Psychiatry.

Authors:  Honor Hsin; John Torous; Laura Roberts
Journal:  JAMA Psychiatry       Date:  2016-02       Impact factor: 21.596

3.  The digital placebo effect: mobile mental health meets clinical psychiatry.

Authors:  John Torous; Joseph Firth
Journal:  Lancet Psychiatry       Date:  2016-02       Impact factor: 27.083

4.  Mobile telephone apps first need data security and efficacy.

Authors:  John Torous
Journal:  BJPsych Bull       Date:  2016-04

Review 5.  A systematic review and meta-analysis of low intensity CBT for psychosis.

Authors:  Cassie M Hazell; Mark Hayward; Kate Cavanagh; Clara Strauss
Journal:  Clin Psychol Rev       Date:  2016-03-23

6.  The temporal association between self-injurious thoughts and psychotic symptoms: a mobile phone assessment study.

Authors:  Jasper E Palmier-Claus; Peter J Taylor; John Ainsworth; Matthew Machin; Graham Dunn; Shon W Lewis
Journal:  Suicide Life Threat Behav       Date:  2013-11-22

7.  Smartphone Apps for Schizophrenia: A Systematic Review.

Authors:  Joseph Firth; John Torous
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-06       Impact factor: 4.773

8.  A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations.

Authors:  John Ainsworth; Jasper E Palmier-Claus; Matthew Machin; Christine Barrowclough; Graham Dunn; Anne Rogers; Iain Buchan; Emma Barkus; Shitij Kapur; Til Wykes; Richard S Hopkins; Shôn Lewis
Journal:  J Med Internet Res       Date:  2013-04-05       Impact factor: 5.428

9.  The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application.

Authors:  Jasper E Palmier-Claus; John Ainsworth; Matthew Machin; Cristine Barrowclough; Graham Dunn; Emma Barkus; Anne Rogers; Til Wykes; Shitij Kapur; Iain Buchan; Emma Salter; Shôn W Lewis
Journal:  BMC Psychiatry       Date:  2012-10-17       Impact factor: 3.630

10.  Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics.

Authors:  John Torous; Steven Richard Chan; Shih Yee-Marie Tan; Jacob Behrens; Ian Mathew; Erich J Conrad; Ladson Hinton; Peter Yellowlees; Matcheri Keshavan
Journal:  JMIR Ment Health       Date:  2014-12-23
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  15 in total

1.  Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report.

Authors:  Benjamin Buck; Emily Scherer; Rachel Brian; Rui Wang; Weichen Wang; Andrew Campbell; Tanzeem Choudhury; Marta Hauser; John M Kane; Dror Ben-Zeev
Journal:  Schizophr Res       Date:  2019-03-30       Impact factor: 4.939

2.  Relapse prediction in schizophrenia through digital phenotyping: a pilot study.

Authors:  Ian Barnett; John Torous; Patrick Staples; Luis Sandoval; Matcheri Keshavan; Jukka-Pekka Onnela
Journal:  Neuropsychopharmacology       Date:  2018-02-22       Impact factor: 7.853

3.  Potential Benefits of Incorporating Peer-to-Peer Interactions Into Digital Interventions for Psychotic Disorders: A Systematic Review.

Authors:  Bruno Biagianti; Sophia H Quraishi; Danielle A Schlosser
Journal:  Psychiatr Serv       Date:  2017-12-15       Impact factor: 3.084

4.  Digital smartphone intervention to recognise and manage early warning signs in schizophrenia to prevent relapse: the EMPOWER feasibility cluster RCT.

Authors:  Andrew I Gumley; Simon Bradstreet; John Ainsworth; Stephanie Allan; Mario Alvarez-Jimenez; Maximillian Birchwood; Andrew Briggs; Sandra Bucci; Sue Cotton; Lidia Engel; Paul French; Reeva Lederman; Shôn Lewis; Matthew Machin; Graeme MacLennan; Hamish McLeod; Nicola McMeekin; Cathy Mihalopoulos; Emma Morton; John Norrie; Frank Reilly; Matthias Schwannauer; Swaran P Singh; Suresh Sundram; Andrew Thompson; Chris Williams; Alison Yung; Lorna Aucott; John Farhall; John Gleeson
Journal:  Health Technol Assess       Date:  2022-05       Impact factor: 4.106

5.  Validation of a Lower Back "Wearable"-Based Sit-to-Stand and Stand-to-Sit Algorithm for Patients With Parkinson's Disease and Older Adults in a Home-Like Environment.

Authors:  Minh H Pham; Elke Warmerdam; Morad Elshehabi; Christian Schlenstedt; Lu-Marie Bergeest; Maren Heller; Linda Haertner; Joaquim J Ferreira; Daniela Berg; Gerhard Schmidt; Clint Hansen; Walter Maetzler
Journal:  Front Neurol       Date:  2018-08-10       Impact factor: 4.003

6.  Mobile App Integration Into Dialectical Behavior Therapy for Persons With Borderline Personality Disorder: Qualitative and Quantitative Study.

Authors:  Stephen F Austin; Jens Einar Jansen; Charlotte Juul Petersen; Rasmus Jensen; Erik Simonsen
Journal:  JMIR Ment Health       Date:  2020-06-11

7.  Real-World Technology Use Among People With Mental Illnesses: Qualitative Study.

Authors:  Elizabeth Carpenter-Song; Valerie A Noel; Stephanie C Acquilano; Robert E Drake
Journal:  JMIR Ment Health       Date:  2018-11-23

Review 8.  Smartphone-based objective monitoring in bipolar disorder: status and considerations.

Authors:  Maria Faurholt-Jepsen; Michael Bauer; Lars Vedel Kessing
Journal:  Int J Bipolar Disord       Date:  2018-01-23

9.  A Call to Digital Health Practitioners: New Guidelines Can Help Improve the Quality of Digital Health Evidence.

Authors:  Alain B Labrique; Smisha Agarwal; Amnesty E Lefevre
Journal:  JMIR Mhealth Uhealth       Date:  2017-10-06       Impact factor: 4.773

10.  Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform.

Authors:  Nicholas Meyer; Maximilian Kerz; Amos Folarin; Dan W Joyce; Richard Jackson; Chris Karr; Richard Dobson; James MacCabe
Journal:  JMIR Mhealth Uhealth       Date:  2018-10-30       Impact factor: 4.773

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