Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators
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Abstract
Digital mental health technologies such as mobile health (mHealth) tools can offer innovative ways to help develop and facilitate mental health care provision, with the COVID-19 pandemic acting as a pivot point for digital health implementation. This viewpoint offers an overview of the opportunities and challenges mHealth innovators must navigate to create an integrated digital ecosystem for mental health care moving forward. Opportunities exist for innovators to develop tools that can collect a vast range of active and passive patient and transdiagnostic symptom data. Moving away from a symptom-count approach to a transdiagnostic view of psychopathology has the potential to facilitate early and accurate diagnosis, and can further enable personalized treatment strategies. However, the uptake of these technologies critically depends on the perceived relevance and engagement of end users. To this end, behavior theories and codesigning approaches offer opportunities to identify behavioral drivers and address barriers to uptake, while ensuring that products meet users’ needs and preferences. The agenda for innovators should also include building strong evidence-based cases for digital mental health, moving away from a one-size-fits-all well-being approach to embrace the development of comprehensive digital diagnostics and validated digital tools. In particular, innovators have the opportunity to make their clinical evaluations more insightful by assessing effectiveness and feasibility in the intended context of use. Finally, innovators should adhere to standardized evaluation frameworks introduced by regulators and health care providers, as this can facilitate transparency and guide health care professionals toward clinically safe and effective technologies. By laying these foundations, digital services can become integrated into clinical practice, thus facilitating deeper technology-enabled changes.
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Poor mental health literacy may prevent patients from recognizing depression symptoms early and seeking appropriate treatment.
“Poor mental health literacy, or the lack of knowledge and understanding of mental health disorders like depression, may prevent patients from recognizing depression symptoms early and seeking appropriate treatment.18”
From Digital health technologies and major depressive disorder (2023) · cites this paper as [18]
The use of social media platforms can help increase awareness of depression and encourage patients to actively seek treatment and connect with physicians.
“The use of social media platforms can help increase awareness of depression and encourage patients to actively seek treatment and connect with physicians.18”
From Digital health technologies and major depressive disorder (2023) · cites this paper as [18]
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- Authors
- Spadaro, B., Martin-Key, N. A., & Bahn, S.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Bahn, Sabine
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2021-10-13
- Volume
- 23
- Issue
- 10
- Pages
- e27507
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC8552100
- OpenAlex
- W3177506387
- Cited by
- 45
- References
- 36
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 20 · 2023: 5 · 2022: 6
- FWCI
- 6.96
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Stanley Medical Research Institute (07R-1888)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- digital mental health, mobile health, transdiagnostic psychopathology, early diagnosis, personalized treatment, user engagement, co-design, behaviour change theory, digital diagnostics, evaluation framework, regulatory standards, integration into clinical practice, COVID-19 pandemic
- MeSH terms
- COVID-19, SARS-CoV-2, Humans, Mental Health, Telemedicine, Ecosystem, Pandemics
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