Smartphones in mental health: a critical review of background issues, current status and future concerns

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Abstract

There has been increasing interest in the use of smartphone applications (apps) and other consumer technology in mental health care for a number of years. However, the vision of data from apps seamlessly returned to, and integrated in, the electronic medical record (EMR) to assist both psychiatrists and patients has not been widely achieved, due in part to complex issues involved in the use of smartphone and other consumer technology in psychiatry. These issues include consumer technology usage, clinical utility, commercialization, and evolving consumer technology. Technological, legal and commercial issues, as well as medical issues, will determine the role of consumer technology in psychiatry. Recommendations for a more productive direction for the use of consumer technology in psychiatry are provided.

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Most cited references 138

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Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology.

Jon D. Elhai, Robert Dvorak, Jason Levine … (2017)

Research literature on problematic smartphone use, or smartphone addiction, has proliferated. However, relationships with existing categories of psychopathology are not well defined. We discuss the concept of problematic smartphone use, including possible causal pathways to such use.

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Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

David Mohr, Mi Zhang, Stephen M Schueller (2017)

Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital traces. Personal sensing refers to collecting and analyzing data from sensors embedded in the context of daily life with the aim of identifying human behaviors, thoughts, feelings, and traits. This article provides a critical review of personal sensing research related to mental health, focused principally on smartphones, but also including studies of wearables, social media, and computers. We provide a layered, hierarchical model for translating raw sensor data into markers of behaviors and states related to mental health. Also discussed are research methods as well as challenges, including privacy and problems of dimensionality. Although personal sensing is still in its infancy, it holds great promise as a method for conducting mental health research and as a clinical tool for monitoring at-risk populations and providing the foundation for the next generation of mobile health (or mHealth) interventions.

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mHealth for mental health: Integrating smartphone technology in behavioral healthcare.

David D Luxton, Russell McCann, Nigel E. Bush … (2011)

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Author and article information

Contributors

Michael Bauer:

ORCID: http://orcid.org/0000-0002-2666-859X

michael.bauer@uniklinikum-dresden.de

Journal

Journal ID (nlm-ta): Int J Bipolar Disord

Journal ID (iso-abbrev): Int J Bipolar Disord

Title: International Journal of Bipolar Disorders

Publisher: Springer Berlin Heidelberg (Berlin/Heidelberg )

ISSN (Electronic): 2194-7511

Publication date (Electronic): 10 January 2020

Publication date PMC-release: 10 January 2020

Publication date Collection: 2020

Volume: 8

Electronic Location Identifier: 2

Affiliations

[1 ]ISNI 0000 0001 2111 7257, GRID grid.4488.0, Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Medical Faculty, , Technische Universität Dresden, ; Fetscherstr. 74, 01307 Dresden, Germany

[2 ]ChronoRecord Association, Fullerton, CA USA

[3 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Department of Psychiatry, , University of Oxford, Warneford Hospital, ; Oxford, UK

[4 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Department of Psychiatry and Biobehavioral Sciences, , Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles (UCLA), ; Los Angeles, CA USA

[5 ]ISNI 0000 0001 2182 2255, GRID grid.28046.38, Mood Disorders Center of Ottawa, ; Ottawa, Canada

[6 ]ISNI 0000 0001 2157 2938, GRID grid.17063.33, Department of Psychiatry, , University of Toronto, ; Toronto, ON Canada

[7 ]GRID grid.475435.4, Copenhagen Affective Disorder Research Center (CADIC), , Psychiatric Center Copenhagen, Rigshospitalet, ; Copenhagen, Denmark

[8 ]Michigan State University College of Human Medicine, Traverse City Campus, Traverse City, MI USA

Author information

Michael Bauer http://orcid.org/0000-0002-2666-859X

Article

Publisher ID: 164

DOI: 10.1186/s40345-019-0164-x

PMC ID: 6952480

PubMed ID: 31919635

SO-VID: 945a581f-5e52-42f5-a384-cf4995cb737e

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 26 July 2019

Date accepted : 24 October 2019

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Keywords: smartphone,cellphone,technology,mental illness,psychiatry,wearables

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Keywords: smartphone, cellphone, technology, mental illness, psychiatry, wearables

Smartphones in mental health: a critical review of background issues, current status and future concerns

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New Psychiatry

Most cited references 138

Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology.

Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

mHealth for mental health: Integrating smartphone technology in behavioral healthcare.

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