Literature DB >> 35192989

Mental health monitoring apps for depression and anxiety in children and young people: A scoping review and critical ecological analysis.

Jessy E Williams1, Jessica Pykett2.   

Abstract

There is considerable concern about increasing rates of anxiety and depression among children and young people (CYP). Mental health technologies, such as smartphone applications, are proposed as a potential solution. However, the effectiveness of mental health mobile applications for managing, moderating and treating anxiety and depression in CYP is uncertain. The purpose of this scoping review is to outline the extent of the clinical evidence base of mental health apps with monitoring functions for depression and anxiety in CYP, to categorise the range of monitoring features, to understand their various purposes, and to analyse these 'technical mechanisms' in apps from the perspective of critical ecological analysis. It provides a novel conceptual framework for researching how CYP may use and critically engage with mental health apps. We searched Ovid MEDLINE, PsycINFO, and Scopus databases, and 39 studies met the inclusion criteria. The analysis focuses attention on the ecological (mental, social and environmental) dimensions of life, health and emotional experience and the purposes of mental health monitoring apps. We evaluate the way that technical mechanisms, such as metrics are used in apps, examine their effects on responsibility for managing and treating distress and consider the rationalities that guide their development. The paper concludes that examination of the bioethics and neuroethics of these technologies is necessary and urgent. This requires paying closer attention to the social practices of technology-enabled self-monitoring, and the ways in which these frame mental health as a form of individualised emotional regulation.
Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Adolescent mental health; Bioethics; Digital ecologies; Emotional governance; Mobile apps; Posthumanism; Self-monitoring; mHealth

Mesh:

Year:  2022        PMID: 35192989     DOI: 10.1016/j.socscimed.2022.114802

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  1 in total

1.  The Mining Method of Ideological and Political Elements in University Public Mental Health Courses Based on Artificial Intelligence Technology.

Authors:  Fangfang Li; Le Gu; Hongchao Xu
Journal:  J Environ Public Health       Date:  2022-08-31
  1 in total

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