Targeting depressive symptoms with technology.
American Psychiatric Association (APA)
Mental health apps
chatbots
clinical depression
depressive symptoms
digital health
Journal
mHealth
ISSN: 2306-9740
Titre abrégé: Mhealth
Pays: China
ID NLM: 101678564
Informations de publication
Date de publication:
2019
2019
Historique:
received:
12
05
2019
accepted:
24
06
2019
entrez:
30
8
2019
pubmed:
30
8
2019
medline:
30
8
2019
Statut:
epublish
Résumé
Interest in digital mental health, driven largely by the need to increase access to mental health services, presents new opportunities as well as challenges. This article provides a selective overview of several new approaches, including chatbots and apps, with a focus on exploring their unique characteristics. To understand the broader issues around digital mental health apps, we discuss recent reviews in this space in the context of how they can inform care today, and how these apps fail to address several important gaps. Framing apps as either tools to augment versus deliver care, we explore ongoing struggles in this space that will determine how apps are used, regulated, and reimbursed for. Realizing that many mental health apps today exist in this still undefined space and often possess no evidence, we conclude with an overview of the American Psychiatric Association (APA)'s app evaluation framework with the goal of offering a more informed approach to these digital tools.
Identifiants
pubmed: 31463305
doi: 10.21037/mhealth.2019.06.04
pii: mh-05-2019.06.04
pmc: PMC6691087
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
19Déclaration de conflit d'intérêts
Conflicts of Interest: J Torous was involved in the development of the APA evaluation criteria but did not receive financial compensation for this assistance. The other authors have no conflicts of interest to declare.
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