Issues for eHealth in Psychiatry: Results of an Expert Survey
Open accessAbstract
BACKGROUND: Technology has changed the landscape in which psychiatry operates. Effective, evidence-based treatments for mental health care are now available at the fingertips of anyone with Internet access. However, technological solutions for mental health are not necessarily sought by consumers nor recommended by clinicians. OBJECTIVE: The objectives of this study are to identify and discuss the barriers to introducing eHealth technology-supported interventions within mental health. METHODS: An interactive polling tool was used to ask "In this brave new world, what are the key issues that need to be addressed to improve mental health (using technology)?" Respondents were the multidisciplinary attendees of the "Humans and Machines: A Quest for Better Mental Health" conference, held in Sydney, Australia, in 2016. Responses were categorized into 10 key issues using team-based qualitative analysis. RESULTS: A total of 155 responses to the question were received from 66 audience members. Responses were categorized into 10 issues and ordered by importance: access to care, integration and collaboration, education and awareness, mental health stigma, data privacy, trust, understanding and assessment of mental health, government and policy, optimal design, and engagement. In this paper, each of the 10 issues are outlined, and potential solutions are discussed. Many of the issues were interrelated, having implications for other key areas identified. CONCLUSIONS: As many of the issues identified directly related to barriers to care, priority should be given to addressing these issues that are common across mental health delivery. Despite new challenges raised by technology, technology-supported mental health interventions represent a tremendous opportunity to address in a timely way these major concerns and improve the receipt of effective, evidence-based therapy by those in need.
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Adoption of an intervention as part of therapy depended on the therapist's digital literacy skills, past experience with mental health technology, and ability to easily integrate its use into their practice.
“The adoption of an intervention as part of therapy depended on the therapist’s digital literacy skills [244,245], their past experience with mental health technology [120], and the ability to easily integrate its use into their practice as a provider [132,195,205,211,224,226,246].”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [226]
The Discussion’s “Integration and Collaboration” section (page unavailable) says that interventions poorly fitted to referral and care pathways can impede integration into existing care. Its “Education and Awareness” section also describes a need to educate clinicians about eHealth. The copy does not establish therapists’ past experience with mental health technology as a factor in adoption, and its discussion of digital literacy concerns access among users rather than therapists’ skills. (LLM, conf=0.83)
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- Authors
- Nicholas, J., Huckvale, K., Larsen, M. E., Basu, A., Batterham, P. J., Shaw, F., & Sendi, S.
- Affiliations
- Black Dog Institute (AU)
- UNSW Sydney (AU)
- Australian National University (AU)
- King's College London (GB)
- Corresponding author
- Nicholas, Jennifer
- ORCID
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2017-02-28
- Volume
- 19
- Issue
- 2
- Pages
- e55
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC5350456
- OpenAlex
- W2591582086
- Cited by
- 34
- References
- 68
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 8 · 2020: 7 · 2019: 2 · 2018: 4
- FWCI
- 4.06
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- ANU Open Research (Australian National University) (submittedVersion, cc-by)
- UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by)
- Funders
- University of New South Wales
- University of Sydney
- Medical Research Council
- National Health and Medical Research Council (1083311, 1042580)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- e-health, digital mental health interventions, technology adoption barriers, access to mental health care, mental health stigma, data privacy, trust in technology, mental health policy, user engagement, expert survey
- MeSH terms
- Data Collection, Humans, Psychiatry, Surveys and Questionnaires, Telemedicine, Internet
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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