Literature DB >> 28891658

The digital mental health revolution: Opportunities and risks.

Amir Tal1, John Torous2.   

Abstract

This editorial introduces the special issue on digital mental health. The promise of digital, mobile, and connected technologies to advance mental health, and especially psychiatric rehabilitation, continues to rapidly evolve. New sensors and data, such as those derived from increasingly ubiquitous smartphones, offer a new window into the functional, social, and emotional experiences of illness and recovery at a personalized and quantified level previously unimaginable (Ben-Zeev & Badiyani, 2016; Free et al., 2013; Torous, Kiang, Lorme, & Onnela, 2016). These new technologies may also help assess and monitor mental health on a population level and provide early interventions and resources to those in need, regardless of their location (East & Havard, 2015). The papers comprising this special issue make important and exciting contributions to the mental health field in general and to digital mental health for psychiatric rehabilitation in particular. These papers illustrate that we are at the beginning of an era that may provide new knowledge and evidence-based tools to better promote mental health diagnosis, treatment, rehabilitation, and recovery. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Entities:  

Mesh:

Year:  2017        PMID: 28891658     DOI: 10.1037/prj0000285

Source DB:  PubMed          Journal:  Psychiatr Rehabil J        ISSN: 1095-158X


  12 in total

1.  A Survey of Online and Mobile Technology Use at Peer Support Agencies.

Authors:  Kelly A Aschbrenner; John A Naslund; Thomas Grinley; John Carlo M Bienvenida; Stephen J Bartels; Mary Brunette
Journal:  Psychiatr Q       Date:  2018-09

Review 2.  Digital phenotyping approaches and mobile devices enhance CNS biopharmaceutical research and development.

Authors:  Daniel G Smith
Journal:  Neuropsychopharmacology       Date:  2018-09-18       Impact factor: 7.853

3.  Depression in Emergency Department Patients and Association With Health Care Utilization.

Authors:  David G Beiser; Charlotte E Ward; Milkie Vu; Neda Laiteerapong; Robert D Gibbons
Journal:  Acad Emerg Med       Date:  2019-04-07       Impact factor: 3.451

Review 4.  Apps for Depression: Are They Ready to Work?

Authors:  Alejandro Porras-Segovia; Isaac Díaz-Oliván; Luis Gutiérrez-Rojas; Henry Dunne; Manon Moreno; Enrique Baca-García
Journal:  Curr Psychiatry Rep       Date:  2020-02-05       Impact factor: 5.285

5.  Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review.

Authors:  Paolo Fraccaro; Anna Beukenhorst; Matthew Sperrin; Simon Harper; Jasper Palmier-Claus; Shôn Lewis; Sabine N Van der Veer; Niels Peek
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

6.  Protocol for the process evaluation of a complex intervention delivered in schools to prevent adolescent depression: the Future Proofing Study.

Authors:  Joanne R Beames; Raghu Lingam; Katherine Boydell; Alison L Calear; Michelle Torok; Kate Maston; Isabel Zbukvic; Kit Huckvale; Philip J Batterham; Helen Christensen; Aliza Werner-Seidler
Journal:  BMJ Open       Date:  2021-01-12       Impact factor: 2.692

7.  Digital Mental Health Challenges and the Horizon Ahead for Solutions.

Authors:  Luke Balcombe; Diego De Leo
Journal:  JMIR Ment Health       Date:  2021-03-29

8.  Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach.

Authors:  Silvan Hornstein; Valerie Forman-Hoffman; Albert Nazander; Kristian Ranta; Kevin Hilbert
Journal:  Digit Health       Date:  2021-11-29

Review 9.  Process and Outcome Evaluations of Smartphone Apps for Bipolar Disorder: Scoping Review.

Authors:  Iona Tatham; Ellisiv Clarke; Kelly Ann Grieve; Pulkit Kaushal; Jan Smeddinck; Evelyn Barron Millar; Aditya Narain Sharma
Journal:  J Med Internet Res       Date:  2022-03-23       Impact factor: 5.428

Review 10.  e-Addictology: An Overview of New Technologies for Assessing and Intervening in Addictive Behaviors.

Authors:  Florian Ferreri; Alexis Bourla; Stephane Mouchabac; Laurent Karila
Journal:  Front Psychiatry       Date:  2018-03-01       Impact factor: 4.157

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