This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (2972) Mobile Health in Psychiatry (435) Innovations in Mental Health Systems (395) Viewpoints and Opinions on Mental Health (44) Psychiatry (56) Digital Health, Telehealth and e-Innovation in Clinical Settings (419) Methods and New Tools in Mental Health Research (461) Viewpoints and Perspectives (521)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27507, first published .
Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators

Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators

Building the Digital Mental Health Ecosystem: Opportunities and Challenges for Mobile Health Innovators

Authors of this article:

Benedetta Spadaro1 Author Orcid Image ;   Nayra A Martin-Key1 Author Orcid Image ;   Sabine Bahn1, 2 Author Orcid Image
Article Authors Cited by (21) Tweetations (10) Metrics

Journals

  1. Funnell E, Spadaro B, Martin-Key N, Metcalfe T, Bahn S. mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis. Frontiers in Psychiatry 2022;13 View
  2. Castro Sweet C, Kaye L, Alabduljabbar M, Myers V. Training the next generation of behavioral medicine scientists to accelerate digital health. Translational Behavioral Medicine 2022;12(8):834 View
  3. Balcombe L, De Leo D. Evaluation of the Use of Digital Mental Health Platforms and Interventions: Scoping Review. International Journal of Environmental Research and Public Health 2022;20(1):362 View
  4. De Anda-Duran I, Hwang P, Popp Z, Low S, Ding H, Rahman S, Igwe A, Kolachalama V, Lin H, Au R. Matching science to reality: how to deploy a participant-driven digital brain health platform. Frontiers in Dementia 2023;2 View
  5. McIntyre R, Greenleaf W, Bulaj G, Taylor S, Mitsi G, Saliu D, Czysz A, Silvesti G, Garcia M, Jain R. Digital health technologies and major depressive disorder. CNS Spectrums 2023;28(6):662 View
  6. Rogan J, Bucci S, Firth J. Health Care Professionals’ Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis. JMIR Mental Health 2024;11:e49577 View
  7. Fuhr D, Wolf-Ostermann K, Hoel V, Zeeb H. Digitale Technologien zur Verbesserung der psychischen Gesundheit. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(3):332 View
  8. Chen C, Walter P, Wei J. Using ChatGPT-Like Solutions to Bridge the Communication Gap Between Patients With Rheumatoid Arthritis and Health Care Professionals. JMIR Medical Education 2024;10:e48989 View
  9. Funnell E, Martin-Key N, Benacek J, Spadaro B, Bahn S. Preferences for and intention to use an app for premenstrual mental health symptoms using the Health Behaviour Model (HBM). npj Women's Health 2024;2(1) View
  10. Huettemann R, Sevov B, Meister S, Fehring L. Understanding citizens’ attitudes within user-centered digital health ecosystems: A sequential mixed method methodology including a web-survey. DIGITAL HEALTH 2024;10 View
  11. Qi Y, Wang M, Xue Y, Yue J, Qi C, Shang W, Meng W, Zhu W, Pu X, Li D, Jiang H. Feasibility of an exercise-nutrition-psychology integrated rehabilitation model based on mobile health and virtual reality for cancer patients: a single-center, single-arm, prospective phase II study. BMC Palliative Care 2024;23(1) View
  12. Siebelink N, Gaasterland A, Gielissen M, van der Weegen S, Boon B, van der Poel A. Barriers and facilitators influencing implementation of care technology for people with intellectual disabilities: A cross‐sectional study among care professionals. Journal of Applied Research in Intellectual Disabilities 2024;37(5) View
  13. Brown K, Jenkinson L. Videoconferencing CBT: a mixed-methods analysis of outcomes amongst young people depending on current self-harm risk status. Mental Health Review Journal 2024;29(3):258 View
  14. Huettemann R, Sevov B, Meister S, Fehring L. How to establish digital health ecosystems from the perspective of health service-organizations: A taxonomy developed based on expert interviews conducted as modified Delphi approach. DIGITAL HEALTH 2024;10 View
  15. Martin-Key N, Funnell E, Benacek J, Spadaro B, Bahn S. Intention to Use a Mental Health App for Menopause: Health Belief Model Approach. JMIR Formative Research 2024;8:e60434 View
  16. Bachate R, Makwana N. ZENIFY: A HOLISTIC APPROACH TO MITIGATING ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD) SYMPTOMS. ShodhKosh: Journal of Visual and Performing Arts 2024;5(ICETDA24) View
  17. Boege S, Milne-Ives M, Ananthakrishnan A, Cong C, Sharma A, Anderson D, Meinert E. Mental Health Monitoring for Young People Through Mood Apps: Protocol for a Scoping Review and Systematic Search in App Stores. JMIR Research Protocols 2024;13:e56400 View
  18. Rogan J, Firth J, Bucci S. Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study. Health Expectations 2024;27(6) View

Books/Policy Documents

  1. Simões de Almeida R, Silva T. Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare. View
  2. Thirupathi L, Kaashipaka V, Dhanaraju M, Katakam V. Intelligent Systems and IoT Applications in Clinical Health. View
  3. Khan A, Madihie A, Khan R. Cultural Adaptation of Evidence-Based Psychotherapies for Common Mental Health Disorders in Pakistan. View