Digital Health Management During and Beyond the COVID-19 Pandemic: Opportunities, Barriers, and Recommendations.

COVID-19 call to action data insights digital mental health due diligence

Journal

JMIR mental health
ISSN: 2368-7959
Titre abrégé: JMIR Ment Health
Pays: Canada
ID NLM: 101658926

Informations de publication

Date de publication:
06 Jul 2020
Historique:
received: 09 04 2020
accepted: 01 06 2020
revised: 28 05 2020
pubmed: 3 6 2020
medline: 3 6 2020
entrez: 3 6 2020
Statut: epublish

Résumé

During the coronavirus disease (COVID-19) crisis, digital technologies have become a major route for accessing remote care. Therefore, the need to ensure that these tools are safe and effective has never been greater. We raise five calls to action to ensure the safety, availability, and long-term sustainability of these technologies: (1) due diligence: remove harmful health apps from app stores; (2) data insights: use relevant health data insights from high-quality digital tools to inform the greater response to COVID-19; (3) freely available resources: make high-quality digital health tools available without charge, where possible, and for as long as possible, especially to those who are most vulnerable; (4) digital transitioning: transform conventional offline mental health services to make them digitally available; and (5) population self-management: encourage governments and insurers to work with developers to look at how digital health management could be subsidized or funded. We believe this should be carried out at the population level, rather than at a prescription level.

Identifiants

pubmed: 32484783
pii: v7i7e19246
doi: 10.2196/19246
pmc: PMC7340162
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e19246

Informations de copyright

©Becky Inkster, Ross O’Brien, Emma Selby, Smriti Joshi, Vinod Subramanian, Madhura Kadaba, Knut Schroeder, Suzi Godson, Kerstyn Comley, Sebastian J Vollmer, Bilal A Mateen. Originally published in JMIR Mental Health (http://mental.jmir.org), 06.07.2020.

Références

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Auteurs

Becky Inkster (B)

University of Cambridge, Cambridge, United Kingdom.
The Alan Turing Institute, London, United Kingdom.

Ross O'Brien (R)

Central and North West London National Health Service Foundation Trust, London, United Kingdom.

Emma Selby (E)

Digital Mentality, London, United Kingdom.

Knut Schroeder (K)

Expert Self Care, Bristol, United Kingdom.
Centre for Academic Primary Care, University of Bristol, Bristol, United Kingdom.

Suzi Godson (S)

MeeTwo, London, United Kingdom.

Kerstyn Comley (K)

MeeTwo, London, United Kingdom.

Sebastian J Vollmer (SJ)

The Alan Turing Institute, London, United Kingdom.
Warwick University, Warwick, United Kingdom.

Bilal A Mateen (BA)

The Alan Turing Institute, London, United Kingdom.
Kings College Hospital, London, United Kingdom.

Classifications MeSH