Literature DB >> 27455467

Realising the technological promise of smartphones in addiction research and treatment: An ethical review.

Hannah Capon1, Wayne Hall2, Craig Fry3, Adrian Carter4.   

Abstract

BACKGROUND: Smartphone technologies and mHealth applications (or apps) promise unprecedented scope for data collection, treatment intervention, and relapse prevention when used in the field of substance abuse and addiction. This potential also raises new ethical challenges that researchers, clinicians, and software developers must address. AIMS: This paper aims to identify ethical issues in the current uses of smartphones in addiction research and treatment.
METHODS: A search of three databases (PubMed, Web of Science and PsycInfo) identified 33 studies involving smartphones or mHealth applications for use in the research and treatment of substance abuse and addiction. A content analysis was conducted to identify how smartphones are being used in these fields and to highlight the ethical issues raised by these studies.
RESULTS: Smartphones are being used to collect large amounts of sensitive information, including personal information, geo-location, physiological activity, self-reports of mood and cravings, and the consumption of illicit drugs, alcohol and nicotine. Given that detailed information is being collected about potentially illegal behaviour, we identified the following ethical considerations: protecting user privacy, maximising equity in access, ensuring informed consent, providing participants with adequate clinical resources, communicating clinically relevant results to individuals, and the urgent need to demonstrate evidence of safety and efficacy of the technologies.
CONCLUSIONS: mHealth technology offers the possibility to collect large amounts of valuable personal information that may enhance research and treatment of substance abuse and addiction. To realise this potential researchers, clinicians and app-developers must address these ethical concerns to maximise the benefits and minimise risks of harm to users.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Addiction; Ethics; Research; Smartphones; Substance abuse; Treatment; mHealth

Mesh:

Year:  2016        PMID: 27455467     DOI: 10.1016/j.drugpo.2016.05.013

Source DB:  PubMed          Journal:  Int J Drug Policy        ISSN: 0955-3959


  16 in total

1.  The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network.

Authors:  Lisa A Marsch; Aimee Campbell; Cynthia Campbell; Ching-Hua Chen; Emre Ertin; Udi Ghitza; Chantal Lambert-Harris; Saeed Hassanpour; August F Holtyn; Yih-Ing Hser; Petra Jacobs; Jeffrey D Klausner; Shea Lemley; David Kotz; Andrea Meier; Bethany McLeman; Jennifer McNeely; Varun Mishra; Larissa Mooney; Edward Nunes; Chrysovalantis Stafylis; Catherine Stanger; Elizabeth Saunders; Geetha Subramaniam; Sean Young
Journal:  J Subst Abuse Treat       Date:  2020-03

2.  Potential benefits of using ecological momentary assessment to study high-risk polydrug use.

Authors:  Alexis M Roth; Marisa Felsher; Megan Reed; Jesse L Goldshear; Quan Truong; Richard S Garfein; Janie Simmons
Journal:  Mhealth       Date:  2017-10-30

3.  A Newly Designed Mobile-Based Computerized Cognitive Addiction Therapy App for the Improvement of Cognition Impairments and Risk Decision Making in Methamphetamine Use Disorder: Randomized Controlled Trial.

Authors:  Youwei Zhu; Haifeng Jiang; Hang Su; Na Zhong; Runji Li; Xiaotong Li; Tianzhen Chen; Haoye Tan; Jiang Du; Ding Xu; Huan Yan; Dawen Xu; Min Zhao
Journal:  JMIR Mhealth Uhealth       Date:  2018-06-20       Impact factor: 4.773

4.  mHealth for the Detection and Intervention in Adolescent and Young Adult Substance Use Disorder.

Authors:  Stephanie Carreiro; Peter R Chai; Jennifer Carey; Jeffrey Lai; David Smelson; Edward W Boyer
Journal:  Curr Addict Rep       Date:  2018-02-15

5.  Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care.

Authors:  Joshua C Magee; Sarah Adut; Kevin Brazill; Stephen Warnick
Journal:  Curr Treat Options Psychiatry       Date:  2018-07-16

6.  Are Machine Learning Methods the Future for Smoking Cessation Apps?

Authors:  Maryam Abo-Tabik; Yael Benn; Nicholas Costen
Journal:  Sensors (Basel)       Date:  2021-06-22       Impact factor: 3.576

Review 7.  Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review.

Authors:  Piers Gooding; Timothy Kariotis
Journal:  JMIR Ment Health       Date:  2021-06-10

8.  Feasibility of a Mobile Phone App to Support Recovery From Addiction in China: Secondary Analysis of a Pilot Study.

Authors:  Hui Han; Jing Ying Zhang; Yih-Ing Hser; Di Liang; Xu Li; Shan Shan Wang; Jiang Du; Min Zhao
Journal:  JMIR Mhealth Uhealth       Date:  2018-02-27       Impact factor: 4.773

9.  Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application.

Authors:  Sophie Attwood; Hannah Parke; John Larsen; Katie L Morton
Journal:  BMC Public Health       Date:  2017-05-17       Impact factor: 3.295

10.  Users' Perspectives on mHealth Self-Management of Bipolar Disorder: Qualitative Focus Group Study.

Authors:  Lise Switsers; Arthur Dauwe; Anneleen Vanhoudt; Hilde Van Dyck; Koen Lombaerts; Jfe Oldenburg
Journal:  JMIR Mhealth Uhealth       Date:  2018-05-02       Impact factor: 4.773

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