Published on 27.04.20 in Vol 7, No 4 (2020): April
Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/19547, first published Apr 24, 2020.
Letter to the Editor
Comment on “Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow”: A UK Perspective
Comment on: https://mental.jmir.org/2020/3/e18848/
JMIR Ment Health 2020;7(4):e19547
This letter is in response to the article published by Torous et al , which highlighted the potential of digital mental health in improving the accessibility and quality of mental health service provision during and beyond the coronavirus disease (COVID-19) pandemic. We write from a UK perspective to add to the North American lens of Torous et al. We contribute our personal and multidisciplinary insights as members of a digital health software team at a UK research University (PW and CS-P), an innovation manager of a mental healthcare provider in England (JS), a digital mental health research unit for young people (PW and JJ), and directors of a digital mental health Community Interest Company (PW and CS-P).
We agree that robust evaluation of mental health apps is important, particularly when selecting an appropriate app during emergency conditions. In the United Kingdom, a national Apps Library provides a central point for accessing trusted apps. In response to the COVID-19 pandemic, a dedicated list of useful apps has been established by ORCHA (Organisation for the Review of Care and Health Applications), an organization that advises the National Health Service on the safety and efficacy of health apps. Apps recommended on the national Apps Library and by ORCHA have been through an independent review and evaluation process and can guide health professionals and patients to trusted apps to support mental health problems including anxiety and depression. The evaluation process covers data security, clinical evidence, and user experience. More broadly, the NICE (National Institute for Health and Care Excellence) recommends that digital health technologies define a set of national UK evidence standards to guide development and evaluation of digital mental health systems .
Informal feedback from clinicians implementing rapidly introduced digital innovations within our mental health services has emphasized the need for ongoing evaluation. We see value in creating digital learning health systems  to support iterative quality improvement and have aimed to do this across digital innovation projects. Situating planned changes within the NASSS (Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability) framework [ ] has helped us assess how digital health innovations can be safely and sustainably embedded in care pathways. We value digital training for mental health professionals, a view reflected in the recent UK Topol review consultation [ ].
Like Torous et al, we are concerned about how digital technologies may exacerbate health inequalities. However, our experience during COVID-19 of moving a face-to-face young people’s digital mental health research group to an online videoconference has highlighted how digital solutions can overcome pre-existing (or previously invisible) barriers to participation. Our online group meetings make the group more accessible for certain members due to reduced travel, time required, personal preferences, or specific mental health conditions, which had made face-to-face group time difficult. Similarly, when face-to-face contact is impossible for physical distancing reasons during COVID-19, digital solutions that can provide remote support fill a critical gap. We believe that a more equitable distribution of digital resources and adequate digital literacy provision will promote a healthier digital experience for all.
Conflicts of Interest
PW and CS-P are directors of Affigo CIC, a digital mental health community interest company.
- Torous J, Jän Myrick K, Rauseo-Ricupero N, Firth J. Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow. JMIR Ment Health 2020 Mar 26;7(3):e18848 [FREE Full text] [CrossRef] [Medline]
- NICE: National Institute for HealthCare Excellence. 2019. Evidence standards framework for digital health technologies URL: https://www.nice.org.uk/about/what-we-do/our-programmes/evidence-standards-framework-for-digital-health-technologies [accessed 2019-01-24] [WebCite Cache]
- Friedman CP, Allee NJ, Delaney BC, Flynn AJ, Silverstein JC, Sullivan K, et al. The science of Learning Health Systems: Foundations for a new journal. Learn Health Syst 2017 Jan;1(1):e10020 [FREE Full text] [CrossRef] [Medline]
- Greenhalgh T, Wherton J, Papoutsi C, Lynch J, Hughes G, A'Court C, et al. Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies. J Med Internet Res 2017 Nov 01;19(11):e367 [FREE Full text] [CrossRef] [Medline]
- Foley T, Woollard J. NHS. 2019. The digital future of mental healthcare and its workforce: a report on a mental health stakeholder engagement to inform the Topol Review URL: https://topol.hee.nhs.uk/wp-content/uploads/HEE-Topol-Review-Mental-health-paper.pdf [accessed 2020-04-24]
|COVID-19: coronavirus disease|
|NASSS: Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability|
|NICE: National Institute for Health and Care Excellence|
|ORCHA: Organisation for the Review of Care and Health Applications|
Edited by J Torous; This is a non–peer-reviewed article. submitted 22.04.20; accepted 22.04.20; published 27.04.20
©Pauline Whelan, Charlotte Stockton-Powdrell, Jenni Jardine, John Sainsbury. Originally published in JMIR Mental Health (http://mental.jmir.org), 27.04.2020.
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