Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Perspective
  • Published:

Digital mental health needs a purpose-driven approach

Abstract

Digital mental health (DMH) encompasses telepsychiatry, mobile apps, games and artificial intelligence (AI)-augmented interventions. In recent years, there has been a steady increase in the development and deployment of DMH solutions, particularly those incorporating AI-based mental health support. In this Perspective, we consider both the technological and clinical design spaces and advocate for purpose-driven, patient-centred solutions rather than a technology-first approach. The purpose of DMH should be to address societal gaps in mental healthcare, following established frameworks for chronic illness management to meet the specific needs of each patient. We examine the ethical dimensions of DMH, underscoring the importance of procedural justice, harm prevention and data privacy. Additionally, we highlight the unique challenges faced by marginalized and vulnerable populations, emphasizing the role of DMH in promoting equal availability of mental healthcare. Aligning DMH with user perspectives, ethical considerations and clinician involvement can result in more effective and empathetic digital interventions, thereby transforming mental healthcare delivery.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: The purpose-driven framework to approach DMH.

Similar content being viewed by others

References

  1. Pineda, B. S. et al. Updated taxonomy of digital mental health interventions: a conceptual framework. mHealth 9, 28 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  2. Lal, S. & Adair, C. E. E-mental health: a rapid review of the literature. Psychiatr. Serv. 65, 24–32 (2014).

    Article  PubMed  Google Scholar 

  3. Torous, J. & Roberts, L. W. Needed innovation in digital health and smartphone applications for mental health: transparency and trust. JAMA Psychiatry 74, 437–438 (2017).

    Article  PubMed  Google Scholar 

  4. Khan, S. What is telepsychiatry? psychiatry.org https://www.psychiatry.org/patients-families/telepsychiatry (2023).

  5. Lattie, E. G., Stiles-Shields, C. & Graham, A. K. An overview of and recommendations for more accessible digital mental health services. Nat. Rev. Psychol. 1, 87–100 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Baños, R. M., Herrero, R. & Vara, M. D. What is the current and future status of digital mental health interventions? Span. J. Psychol. 25, e5 (2022).

    Article  PubMed  Google Scholar 

  7. Feijt, M. Integrating technology in mental healthcare practice: a repeated cross-sectional survey study on professionals’ adoption of Digital Mental Health before and during COVID-19. Front. Psychiatry 13, 1040023 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Sylla, B., Ismaila, O. & Diallo, G. 25 years of digital health toward universal health coverage in low-and middle-income countries: rapid systematic review. J. Med. Internet Res. 27, e59042 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  9. WHO. COVID-19 Pandemic Triggers 25% Increase in Prevalence of Anxiety and Depression Worldwide (World Health Organization, 2022).

  10. Roland, J., Lawrance, E., Insel, T. & Christensen, H. The Digital Mental Health Revolution: Transforming Care Through Innovation and Scale-Up (World Innovation Summit for Health (WISH), 2020).

  11. Greenwood, H. Telehealth versus face-to-face psychotherapy for less common mental health conditions: systematic review and meta-analysis of randomized controlled trials. JMIR Ment. Health 9, 31780 (2022).

    Article  Google Scholar 

  12. Norwood, C., Moghaddam, N. G., Malins, S. & Sabin-Farrell, R. Working alliance and outcome effectiveness in videoconferencing psychotherapy: a systematic review and noninferiority meta-analysis. Clin. Psychol. Psychother. 25, 797–808 (2018).

    Article  PubMed  Google Scholar 

  13. Aspvall, K. et al. Cost-effectiveness of internet-delivered vs in-person cognitive behavioral therapy for children and adolescents with obsessive-compulsive disorder. JAMA Netw. Open 4, e2118516 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Gentili, A. The cost-effectiveness of digital health interventions: a systematic review of the literature. Front. Public Health 10, 787135 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Torous, J., Nicholas, J., Larsen, M. E., Firth, J. & Christensen, H. Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements. BMJ Ment. Health 21, 116–119 (2018).

    Google Scholar 

  16. Skorburg, J. A. & Yam, J. Is there an app for that? Ethical issues in the digital mental health response to COVID-19. AJOB Neurosci. 13, 177–190 (2022).

    Article  PubMed  Google Scholar 

  17. Boggiss, A. L. Exploring the views of adolescents with type 1 diabetes on digital mental health interventions: what functionality and content do they want? Diabet. Med. 38, 14591 (2021).

    Article  Google Scholar 

  18. Valentine, L. et al. A meta-analysis of persuasive design, engagement, and efficacy in 92 RCTs of mental health apps. NPJ Digit. Med. 8, 229 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Hochmuth, A., Exner, A.-K. & Dockweiler, C. Implementation and participatory design of digital health interventions. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 63, 145–152 (2020).

    Article  PubMed  Google Scholar 

  20. Torous, J., Luo, J. & Chan, S. R. Mental health apps: what to tell patients. Curr. Psychiatry 17, 21–25 (2018).

    Google Scholar 

  21. Carlo, F. et al. Telepsychiatry and other cutting-edge technologies in the COVID-19 pandemic: bridging the distance in mental health assistance. Int. J. Clin. Pract. 75, e13716 (2020).

    Article  Google Scholar 

  22. Balcombe, L. & Leo, D. An integrated blueprint for digital mental health services amidst COVID-19. JMIR Ment. Health 7, 21718 (2020).

    Article  Google Scholar 

  23. Ammar, N. & Shaban-Nejad, A. Explainable artificial intelligence recommendation system by leveraging the semantics of adverse childhood experiences: proof-of-concept prototype development. JMIR Med. Inform. 8, 18752 (2020).

    Article  Google Scholar 

  24. Balcombe, L. & Leo, D. Digital mental health challenges and the horizon ahead for solutions. JMIR Ment. Health 8, 26811 (2021).

    Article  Google Scholar 

  25. Kushniruk, A. W. National efforts to improve health information system safety in Canada, the United States of America and England. Int. J. Med. Inf. 82, 149–160 (2013).

    Article  Google Scholar 

  26. Severe, J. Factors influencing patients’ initial decisions regarding telepsychiatry participation during the COVID-19 pandemic: telephone-based survey. JMIR Form. Res. 4, 25469 (2020).

    Article  Google Scholar 

  27. Pierce, B. S. The COVID-19 telepsychology revolution: a national study of pandemic-based changes in US mental health care delivery. Am. Psychol. 76, 14–25 (2021).

    Article  PubMed  Google Scholar 

  28. Malhotra, S., Chakrabarti, S. & Shah, R. Telepsychiatry: promise, potential, and challenges. Indian J. Psychiatry 55, 3–11 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  29. Hagi, K. et al. Telepsychiatry versus face-to-face treatment: systematic review and meta-analysis of randomised controlled trials. Br. J. Psychiatry 223, 407–414 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Guaiana, G. A systematic review of the use of telepsychiatry in depression. Community Ment. Health J. 57, 93–100 (2021).

    Article  PubMed  Google Scholar 

  31. Naslund, J. A. Economic evaluation and costs of telepsychiatry programmes: a systematic review. J. Telemed. Telecare 28, 311–330 (2022).

    Article  PubMed  Google Scholar 

  32. Guinart, D. Patient attitudes toward telepsychiatry during the COVID-19 pandemic: a nationwide, multisite survey. JMIR Ment. Health 7, 24761 (2020).

    Article  Google Scholar 

  33. Torales, J. Satisfaction with telepsychiatry during the COVID-19 pandemic: patients’ and psychiatrists’ report from a university hospital. Int. J. Soc. Psychiatry 69, 156–160 (2023).

    Article  PubMed  Google Scholar 

  34. Reinhardt, I., Gouzoulis-Mayfrank, E. & Zielasek, J. Use of telepsychiatry in emergency and crisis intervention: current evidence. Curr. Psychiatry Rep. 21, 1–8 (2019).

    Article  Google Scholar 

  35. Pyne, J. M. Cost-effectiveness analysis of a rural telemedicine collaborative care intervention for depression. Arch. Gen. Psychiatry 67, 812–821 (2010).

    Article  PubMed  Google Scholar 

  36. Sharma, G. & Devan, K. The effectiveness of telepsychiatry: a thematic review. BJPsych Open 7, 51 (2021).

    Article  Google Scholar 

  37. Chakrabarti, S. Usefulness of telepsychiatry: a critical evaluation of videoconferencing-based approaches. World J. Psychiatry 5, 286–304 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Morreale, M. et al. Determinants of experience & satisfaction in telehealth psychiatry during the COVID-19 pandemic for patients & providers. Front. Psychiatry 14, 1237249 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  39. The Radicati Group. Mobile Statistics Report, 2021–2025 (The Radicati Group, 2021).

  40. Chandrashekar, P. Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps. mHealth 4, 6 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  41. Tal, A. & Torous, J. The digital mental health revolution: opportunities and risks. Psychiatr. Rehabil. J. 40, 263–265 (2017).

    Article  PubMed  Google Scholar 

  42. Hollis, C. Technological innovations in mental healthcare: harnessing the digital revolution. Br. J. Psychiatry 206, 263–265 (2015).

    Article  PubMed  Google Scholar 

  43. Anthes, E. Mental health: there’s an app for that. Nature 532, 20–23 (2016).

    Article  CAS  PubMed  Google Scholar 

  44. Headspace Inc. Headspace: meditation and mindfulness app. headspace.com https://www.headspace.com/ (accessed 15 February 2026).

  45. Happify, Inc. Happify: science-based activities and games for emotional well-being. happify.com https://www.happify.com/ (accessed 15 February 2026).

  46. Softonic. Optimism — download. softonic.com https://optimism.en.softonic.com/ (accessed 15 February 2026).

  47. Google Play Store. How to Overcome Shyness. google.com https://play.google.com/store/apps/details?id=com.fofadtech.how_overcome_shyness (accessed 15 February 2026).

  48. Lecomte, T. Mobile apps for mental health issues: meta-review of meta-analyses. JMIR mHealth uHealth 8, 17458 (2020).

    Article  Google Scholar 

  49. Wang, K., Varma, D. S. & Prosperi, M. A systematic review of the effectiveness of mobile apps for monitoring and management of mental health symptoms or disorders. J. Psychiatr. Res. 107, 73–78 (2018).

    Article  PubMed  Google Scholar 

  50. Neary, M. & Schueller, S. M. State of the field of mental health apps. Cogn. Behav. Pract. 25, 531–537 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  51. Stawarz, K. User experience of cognitive behavioral therapy apps for depression: an analysis of app functionality and user reviews. J. Med. Internet Res. 20, 10120 (2018).

    Article  Google Scholar 

  52. Shen, N. Finding a depression app: a review and content analysis of the depression app marketplace. JMIR mHealth uHealth 3, 3713 (2015).

    Article  Google Scholar 

  53. Martínez-Pérez, B., Torre-Díez, I. & López-Coronado, M. Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis. J. Med. Internet Res. 15, 120 (2013).

    Article  Google Scholar 

  54. Ackerman, L. Mobile Health and Fitness Applications and Information Privacy (Privacy Rights Clearinghouse, 2013).

  55. Fleming, T. Beyond the trial: systematic review of real-world uptake and engagement with digital self-help interventions for depression, low mood, or anxiety. J. Med. Internet Res. 20, 199 (2018).

    Article  Google Scholar 

  56. Twomey, C. & O’Reilly, G. Effectiveness of a freely available computerised cognitive behavioural therapy programme (MoodGYM) for depression: meta-analysis. Aust. N. Z. J. Psychiatry 51, 260–269 (2017).

    Article  PubMed  Google Scholar 

  57. Richards, D., Enrique, A., Palacios, J. & Eilert, N. Building the story of scientific evidence for digital therapeutics: trials, meta-analysis and real-world data. In Digital Therapeutics: Strategic, Scientific, Developmental and Regulatory Aspects (eds Sverdlov, O. & van Dam, J.) 195–218 (Taylor & Francis, 2022).

  58. Andersson, G. et al. Internet-delivered psychological treatments: from innovation to implementation. World Psychiatry 18, 20–28 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  59. Richards, D. & Richardson, T. Computer-based psychological treatments for depression: a systematic review and meta-analysis. Clin. Psychol. Rev. 32, 329–342 (2012).

    Article  PubMed  Google Scholar 

  60. Titov, N. ICBT in routine care: a descriptive analysis of successful clinics in five countries. Internet Interv. 13, 108–115 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  61. Wies, B., Landers, C. & Ienca, M. Digital mental health for young people: a scoping review of ethical promises and challenges. Front. Digit. Health 3, 697072 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  62. Priebe, S., Giacco, D. & El-Nagib, R. Public Health Aspects of Mental Health among Migrants and Refugees: A Review of the Evidence on Mental Health Care for Refugees, Asylum Seekers and Irregular Migrants in the WHO European Region (World Health Organization, Regional Office for Europe, 2016).

  63. Ventevogel, P., van Ommeren, M., Schilperood, M. & Saxena, S. Improving mental health care in humanitarian emergencies. Bull. World Health Organ. 93, 666–666A (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  64. Christensen, H., Griffiths, K. M. & Farrer, L. Adherence in Internet interventions for anxiety and depression: systematic review. J. Med. Internet Res. 11, 1194 (2009).

    Article  Google Scholar 

  65. Meurling, J. An online tiered screening procedure to identify mental health problems among refugees. BMC Psychiatry 23, 7 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  66. Abd-Alrazaq, A. et al. The effectiveness of serious games for alleviating depression: systematic review and meta-analysis. JMIR Serious Games 10, e32331 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  67. Abd-Alrazaq, A. The effectiveness of serious games in alleviating anxiety: systematic review and meta-analysis. JMIR Serious Games 10, 29137 (2022).

    Article  Google Scholar 

  68. Jones, M. Acceptability of a plasticity-focused serious game intervention for posttraumatic stress disorder: user requirements analysis. JMIR Serious Games 7, 11909 (2019).

    Article  Google Scholar 

  69. Tang, J. S. Designing a serious game for youth with ASD: perspectives from end-users and professionals. J. Autism Dev. Disord. 49, 978–995 (2019).

    Article  PubMed  Google Scholar 

  70. Zhao, Y. Effectiveness of exergaming in improving cognitive and physical function in people with mild cognitive impairment or dementia: systematic review. JMIR Serious Games 8, 16841 (2020).

    Article  Google Scholar 

  71. Verduin, M. L. Computer simulation games as an adjunct for treatment in male veterans with alcohol use disorder. J. Subst. Abuse Treat. 44, 316–322 (2013).

    Article  PubMed  Google Scholar 

  72. Dovis, S. Improving executive functioning in children with ADHD: training multiple executive functions within the context of a computer game. A randomized double-blind placebo controlled trial. PLoS ONE 10, 0121651 (2015).

    Article  Google Scholar 

  73. Hwang, H. Comparing effectiveness between a mobile app program and traditional cognitive behavior therapy in obsessive-compulsive disorder: evaluation study. JMIR Ment. Health 8, 23778 (2021).

    Article  Google Scholar 

  74. Abd-Alrazaq, A. The effectiveness and safety of serious games for improving cognitive abilities among elderly people with cognitive impairment: systematic review and meta-analysis. JMIR Serious Games 10, 34592 (2022).

    Article  Google Scholar 

  75. Abd-Alrazaq, A. The effectiveness of serious games in improving memory among older adults with cognitive impairment: systematic review and meta-analysis. JMIR Serious Games 10, 35202 (2022).

    Article  Google Scholar 

  76. Abd-Alrazaq, A. et al. Effectiveness of serious games for improving executive functions among older adults with cognitive impairment: systematic review and meta-analysis. JMIR Serious Games 10, e36123 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  77. Abd-Alrazaq, A. et al. The effectiveness of serious games on cognitive processing speed among older adults with cognitive impairment: systematic review and meta-analysis. JMIR Serious Games 10, e36754 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  78. Vieira, C. et al. Serious game design and clinical improvement in physical rehabilitation: systematic review. JMIR Serious Games 9, e20066 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  79. Pazzi, S. et al. A serious games platform for early diagnosis of mild cognitive impairments. In Games for Health 2014: Proc. 4th Conf. on Gaming and Playful Interaction in Healthcare (eds Schouten, B. et al.) 110–113 (Springer Fachmedien Wiesbaden, 2014).

  80. Gaggi, O. Serious games for early identification of developmental dyslexia. Comput. Entertain. 15, 1–24 (2017).

    Article  Google Scholar 

  81. Serrano-Barroso, A. Detecting attention levels in ADHD children with a video game and the measurement of brain activity with a single-channel BCI headset. Sensors 21, 3221 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  82. Sharifzadeh, N. Health education serious games targeting health care providers, patients, and public health users: scoping review. JMIR Serious Games 8, 13459 (2020).

    Article  Google Scholar 

  83. Kowal, M. et al. Gaming your mental health: a narrative review on mitigating symptoms of depression and anxiety using commercial video games. JMIR Serious Games 9, e26575 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  84. Bonnechère, B. Balance improvement after physical therapy training using specially developed serious games for cerebral palsy children: preliminary results. Disabil. Rehabil. 39, 403–406 (2017).

    Article  PubMed  Google Scholar 

  85. Fleming, T. M. Serious games and gamification for mental health: current status and promising directions. Front. Psychiatry 7, 215 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  86. Granic, I., Lobel, A. & Engels, R. C. The benefits of playing video games. Am. Psychol. 69, 66–78 (2014).

    Article  PubMed  Google Scholar 

  87. Entertainment Software Association. Essential Facts about the Computer and Video Game Industry (Entertainment Software Association, 2016).

  88. Gentile, D. A. The effects of prosocial video games on prosocial behaviors: international evidence from correlational, longitudinal, and experimental studies. Pers. Soc. Psychol. Bull. 35, 752–763 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  89. Gentile, D. Pathological video-game use among youth ages 8 to 18: a national study. Psychol. Sci. 20, 594–602 (2009).

    Article  PubMed  Google Scholar 

  90. Canady, V. A. FDA approves first video game Rx treatment for children with ADHD. Ment. Health Wkly. 30, 1–7 (2020).

    Google Scholar 

  91. Gordon, H. S. “I’m not feeling like I’m part of the conversation” patients’ perspectives on communicating in clinical video telehealth visits. J. Gen. Intern. Med. 35, 1751–1758 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  92. Almathami, H. K. Y., Win, K. T. & Vlahu-Gjorgievska, E. Barriers and facilitators that influence telemedicine-based, real-time, online consultation at patients’ homes: systematic literature review. J. Med. Internet Res. 22, 16407 (2020).

    Article  Google Scholar 

  93. Békés, V. & Doorn, K. A. Psychotherapists’ attitudes toward online therapy during the COVID-19 pandemic. J. Psychother. Integr. 30, 238–247 (2020).

    Article  Google Scholar 

  94. Sanchez-Vives, M. V. & Slater, M. From presence to consciousness through virtual reality. Nat. Rev. Neurosci. 6, 332–339 (2005).

    Article  CAS  PubMed  Google Scholar 

  95. Jung, T. A virtual reality–supported intervention for pulmonary rehabilitation of patients with chronic obstructive pulmonary disease: mixed methods study. J. Med. Internet Res. 22, 14178 (2020).

    Article  Google Scholar 

  96. Sultana, A. Burnout among healthcare providers during COVID-19: challenges and evidence-based interventions. Indian J. Med. Ethics 5, 308–311 (2020).

    Article  Google Scholar 

  97. Liu, S., Xie, M. & Ye, Z. Combating COVID-19—how can AR telemedicine help doctors more effectively implement clinical work. J. Med. Syst. 44, 1–2 (2020).

    Article  Google Scholar 

  98. National Academies of Sciences, Engineering, and Medicine. Taking Action Against Clinician Burnout: A Systems Approach to Professional Well-Being (National Academies Press, 2019).

  99. Ong, T. Extended reality for enhanced telehealth during and beyond COVID-19. JMIR Serious Games 9, 26520 (2021).

    Article  Google Scholar 

  100. Reger, G. M. Does virtual reality increase emotional engagement during exposure for PTSD? Subjective distress during prolonged and virtual reality exposure therapy. J. Anxiety Disord. 61, 75–81 (2019).

    Article  PubMed  Google Scholar 

  101. Stevens, E. S. Posttraumatic stress disorder symptom cluster structure in prolonged exposure therapy and virtual reality exposure. J. Trauma. Stress 34, 287–297 (2021).

    Article  PubMed  Google Scholar 

  102. Katz, A. C. Changes in physiological reactivity in response to the trauma memory during prolonged exposure and virtual reality exposure therapy for posttraumatic stress disorder. Psychol. Trauma 12, 756–764 (2020).

    Article  PubMed  Google Scholar 

  103. López-Ojeda, W. & Hurley, R. A. Extended-reality technologies: an overview of emerging applications in medical education and clinical care. J. Neuropsychiatry Clin. Neurosci. 33, 4–177 (2021).

    Article  Google Scholar 

  104. Herz, R. S. Olfactory virtual reality: a new frontier in the treatment and prevention of posttraumatic stress disorder. Brain Sci. 11, 1070 (2021).

    Article  Google Scholar 

  105. Demirel, H. O. Modular Human-in-the-Loop Design Framework Based on Human Factors (Purdue Univ., 2015).

  106. Papoutsi, C. Putting the social back into sociotechnical: case studies of co-design in digital health. J. Am. Med. Inform. Assoc. 28, 284–293 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  107. Kulkov, I. Technology entrepreneurship in healthcare: challenges and opportunities for value creation. J. Innov. Knowl. 8, 100365 (2023).

    Article  Google Scholar 

  108. Pundziene, A. Value capture and embeddedness in social-purpose-driven ecosystems: a multiple-case study of European digital healthcare platforms. Technovation 124, 102748 (2023).

    Article  Google Scholar 

  109. Bisso, E. Immersive virtual reality applications in schizophrenia spectrum therapy: a systematic review. Int. J. Environ. Res. Public. Health 17, 6111 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  110. Shneiderman, B. Human-Centered AI (Oxford Univ. Press, 2022).

  111. Kushniruk, A. & Nøhr, C. Participatory design, user involvement and health IT evaluation. Stud. Health Technol. Inf. 222, 139–151 (2016).

    Google Scholar 

  112. Simonsen, J. & Robertson, T. Routledge International Handbook of Participatory Design (Routledge, 2012).

  113. DeSmet, A. Is participatory design associated with the effectiveness of serious digital games for healthy lifestyle promotion? A meta-analysis. J. Med. Internet Res. 18, 4444 (2016).

    Article  Google Scholar 

  114. Flobak, E. Designing videos with and for adults with ADHD for an online intervention: participatory design study and thematic analysis of evaluation. JMIR Ment. Health 8, 30292 (2021).

    Article  Google Scholar 

  115. LaMonica, H. M. Technology-enabled mental health service reform for open arms–veterans and families counselling: participatory design study. JMIR Form. Res. 3, 13662 (2019).

    Article  Google Scholar 

  116. Cheng, V. W. S. An app that incorporates gamification, mini-games, and social connection to improve men’s mental health and well-being (MindMax): participatory design process. JMIR Ment. Health 5, 11068 (2018).

    Article  Google Scholar 

  117. Ospina-Pinillos, L. Using participatory design methodologies to co-design and culturally adapt the Spanish version of the mental health eClinic: qualitative study. J. Med. Internet Res. 21, 14127 (2019).

    Article  Google Scholar 

  118. LaMonica, H. M. Understanding technology preferences and requirements for health information technologies designed to improve and maintain the mental health and well-being of older adults: participatory design study. JMIR Aging 4, 21461 (2021).

    Article  Google Scholar 

  119. Povey, J. Determining priorities in the Aboriginal and Islander Mental Health Initiative for Youth app second phase participatory design project: qualitative study and narrative literature review. JMIR Form. Res. 6, 28342 (2022).

    Article  Google Scholar 

  120. Aggarwal, M., Borycki, E. M., Wagner, E. & Gosselin, K. The current state of knowledge on mobile health interventions for opioid related harm: integrating scoping review findings with the patient journey. Knowl. Manage. E-Learn. 12, 448–468 (2020).

    Google Scholar 

  121. Wadley, G. et al. Participatory design of an online therapy for youth mental health. In Proc. 25th Australian Computer–Human Interaction Conf. Augmentation, Application, Innovation, Collaboration (eds Shen, H. et al.) 517–526 (ACM, 2013).

  122. Abd-Alrazaq, A. A. Perceptions and opinions of patients about mental health chatbots: scoping review. J. Med. Internet Res. 23, 17828 (2021).

    Article  Google Scholar 

  123. Chaix, B. et al. When chatbots meet patients: one-year prospective study of conversations between patients with breast cancer and a chatbot. JMIR Cancer 5, e12856 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  124. Denecke, K. Evaluation metrics for health chatbots: a Delphi study. Methods Inf. Med. 60, 171–179 (2021).

    Article  PubMed  Google Scholar 

  125. Kujala, S. User involvement: a review of the benefits and challenges. Behav. Inf. Technol. 22, 1–16 (2003).

    Article  Google Scholar 

  126. Li, A. C. Integrating usability testing and think-aloud protocol analysis with ‘near-live’ clinical simulations in evaluating clinical decision support. Int. J. Med. Inf. 81, 761–772 (2012).

    Article  Google Scholar 

  127. Kushniruk, A. & Turner, P. A framework for user involvement and context in the design and development of safe e-health systems. In Quality of Life through Quality of Information (eds. Andersen, S. K. et al.) 353–357 (IOS Press, 2012).

  128. Kayser, L. Enhancing the effectiveness of consumer-focused health information technology systems through eHealth literacy: a framework for understanding users’ needs. JMIR Hum. Factors 2, 3696 (2015).

    Article  Google Scholar 

  129. Torous, J. The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry 20, 318–335 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  130. Naslund, J. A. Digital innovations for global mental health: opportunities for data science, task sharing, and early intervention. Curr. Treat. Options Psychiatry 6, 337–351 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  131. Cowie, M. R. Electronic health records to facilitate clinical research. Clin. Res. Cardiol. 106, 1–9 (2017).

    Article  PubMed  Google Scholar 

  132. Yang, X. A big data analytics framework for detecting user-level depression from social networks. Int. J. Inf. Manage. 54, 102141 (2020).

    Google Scholar 

  133. Thorstad, R. & Wolff, P. Predicting future mental illness from social media: a big-data approach. Behav. Res. Methods 51, 1586–1600 (2019).

    Article  PubMed  Google Scholar 

  134. Tariq, S. A novel co-training-based approach for the classification of mental illnesses using social media posts. IEEE Access 7, 166165–166172 (2019).

    Article  Google Scholar 

  135. Hu, Y. & Sinnott, R. O. Big data analytics exploration of green space and mental health in Melbourne. In 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 648–657 (IEEE, 2019).

  136. Wykes, T., Lipshitz, J. & Schueller, S. M. Towards the design of ethical standards related to digital mental health and all its applications. Curr. Treat. Options Psychiatry 6, 232–242 (2019).

    Article  Google Scholar 

  137. Straw, I. & Callison-Burch, C. Artificial intelligence in mental health and the biases of language based models. PLoS ONE 15, 0240376 (2020).

    Article  Google Scholar 

  138. Le Glaz, A. Machine learning and natural language processing in mental health: systematic review. J. Med. Internet Res. 23, 15708 (2021).

    Article  Google Scholar 

  139. Kostkova, P. Grand challenges in digital health. Front. Public Health 3, 134 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  140. Rubeis, G. & iHealth The ethics of artificial intelligence and big data in mental healthcare. Internet Interv. 28, 100518 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  141. Graham, A. K. Implementation strategies for digital mental health interventions in health care settings. Am. Psychol. 75, 1080 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  142. Corbin, J. M. & Strauss, A. Unending Work and Care: Managing Chronic Illness at Home (Jossey-Bass, 1988).

  143. Llewellyn-Beardsley, J. Characteristics of mental health recovery narratives: systematic review and narrative synthesis. PLoS ONE 14, 0214678 (2019).

    Article  Google Scholar 

  144. Bostock, S. Mindfulness on-the-go: effects of a mindfulness meditation app on work stress and well-being. J. Occup. Health Psychol. 24, 127–138 (2019).

    Article  PubMed  Google Scholar 

  145. Mani, M. Review and evaluation of mindfulness-based iPhone apps. JMIR mHealth uHealth 3, 4328 (2015).

    Article  Google Scholar 

  146. Statista. Number of Monthly Active Pinterest Users Worldwide from 1st Quarter 2016 to 1st Quarter (Statista, 2023).

  147. Stuart, H. Reducing the stigma of mental illness. Glob. Ment. Health 3, 17 (2016).

    Article  Google Scholar 

  148. Plescia, M. There are endless mental health apps. How do you choose the best ones? MedCity News (4 January 2023).

  149. Agarwal, S. et al. Evaluation of Mental Health Mobile Applications (Agency for Healthcare Research and Quality (US), 2022).

  150. Balcombe, L. & Leo, D. Evaluation of the use of digital mental health platforms and interventions: scoping review. Int. J. Environ. Res. Public. Health 20, 362 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  151. World Health Organization. Psychiatrists Working in Mental Health Sector (Per 100 000) (Global Health Observatory, 2025).

  152. Torous, J. Patient smartphone ownership and interest in mobile apps to monitor symptoms of mental health conditions: a survey in four geographically distinct psychiatric clinics. JMIR Ment. Health 1, 4004 (2014).

    Article  Google Scholar 

  153. Walsh, S., Golden, E. & Priebe, S. Systematic review of patients’ participation in and experiences of technology-based monitoring of mental health symptoms in the community. BMJ Open 6, 008362 (2016).

    Article  Google Scholar 

  154. Peiris, D., Miranda, J. J. & Mohr, D. C. Going beyond killer apps: building a better mHealth evidence base. BMJ Glob. Health 3, e000676 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  155. Naslund, J. A., Aschbrenner, K. A. & Bartels, S. J. How people with serious mental illness use smartphones, mobile apps, and social media. Psychiatr. Rehabil. J. 39, 364–367 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  156. Carpenter-Song, E. Real-world technology use among people with mental illnesses: qualitative study. JMIR Ment. Health 5, 10652 (2018).

    Article  Google Scholar 

  157. Chiauzzi, E. & Newell, A. Mental health apps in psychiatric treatment: a patient perspective on real world technology usage. JMIR Ment. Health 6, 12292 (2019).

    Article  Google Scholar 

  158. Gay, K. Digital technology use among individuals with schizophrenia: results of an online survey. JMIR Ment. Health 3, 5379 (2016).

    Article  Google Scholar 

  159. Bakker, D. Mental health smartphone apps: review and evidence-based recommendations for future developments. JMIR Ment. Health 3, 4984 (2016).

    Article  Google Scholar 

  160. Schueller, S. M. Discovery of and interest in health apps among those with mental health needs: survey and focus group study. J. Med. Internet Res. 20, 10141 (2018).

    Article  Google Scholar 

  161. Cuijpers, P. Component studies of psychological treatments of adult depression: a systematic review and meta-analysis. Psychother. Res. 29, 15–29 (2019).

    Article  PubMed  Google Scholar 

  162. Cuijpers, P., Reijnders, M. & Huibers, M. J. The role of common factors in psychotherapy outcomes. Annu. Rev. Clin. Psychol. 15, 207–231 (2019).

    Article  PubMed  Google Scholar 

  163. Pal, K. Digital health interventions for adults with type 2 diabetes: qualitative study of patient perspectives on diabetes self-management education and support. J. Med. Internet Res. 20, 40 (2018).

    Article  Google Scholar 

  164. Abernethy, A. et al. The Promise of Digital Health: Then, Now, and the Future. NAM Perspectives Discussion Paper (National Academies of Medicine 2022).

  165. Schueller, S. M. et al. Grand challenges in human factors and digital health. Front. Digit. Health 3, 635112 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  166. Schueller, S. M. Use of digital mental health for marginalized and underserved populations. Curr. Treat. Options Psychiatry 6, 243–255 (2019).

    Article  Google Scholar 

  167. Blackmore, R. The prevalence of mental illness in refugees and asylum seekers: a systematic review and meta-analysis. PLoS Med. 17, 1003337 (2020).

    Article  Google Scholar 

  168. Bulik, K. J. D. & Colucci, E. Refugees, resettlement experiences and mental health: a systematic review of case studies. J. Bras. Psiquiatr. 68, 121–132 (2019).

    Article  Google Scholar 

  169. Liem, A. Digital health applications in mental health care for immigrants and refugees: a rapid review. Telemed. E-Health 27, 3–16 (2021).

    Article  Google Scholar 

  170. Morina, N. Psychiatric disorders in refugees and internally displaced persons after forced displacement: a systematic review. Front. Psychiatry 9, 433 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  171. Jefee-Bahloul, H. Use of telepsychiatry in areas of conflict: the Syrian refugee crisis as an example. J. Telemed. Telecare 20, 167–168 (2014).

    Article  PubMed  Google Scholar 

  172. Moustafa, M. Telepsychiatry and Mental Health Care for Syrian Refugees in Turkey. PhD thesis, Yale Univ. (2015).

  173. Aadil, M. A call for emergency action: telepsychiatry for trauma treatment among Syrian refugees. Cureus 9, e1578 (2017).

    PubMed  PubMed Central  Google Scholar 

  174. Hassan, A. & Sharif, K. Efficacy of telepsychiatry in refugee populations: a systematic review of the evidence. Cureus 11, e3984 (2019).

    PubMed  PubMed Central  Google Scholar 

  175. Al-Nuaimi, S. Psychiatric morbidity among physically injured Syrian refugees in Turkey. Compr. Psychiatry 80, 34–38 (2018).

    Article  PubMed  Google Scholar 

  176. Saltaji, H. & Al-Nuaimi, S. Do not forget the orphan children of Syria. Lancet 387, 745–746 (2016).

    Article  PubMed  Google Scholar 

  177. Disney, L., Mowbray, O. & Evans, D. Telemental health use and refugee mental health providers following COVID-19 pandemic. Clin. Soc. Work J. 49, 463–470 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  178. Torous, J., Myrick, K. & Aguilera, A. The need for a new generation of digital mental health tools to support more accessible, effective and equitable care. World Psychiatry 22, 1–2 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  179. Porter, M. & Haslam, N. Predisplacement and postdisplacement factors associated with mental health of refugees and internally displaced persons: a meta-analysis. JAMA 294, 602–612 (2005).

    Article  CAS  PubMed  Google Scholar 

  180. Miller, K. E. & Rasmussen, A. The mental health of civilians displaced by armed conflict: an ecological model of refugee distress. Epidemiol. Psychiatr. Sci. 26, 129–138 (2017).

    Article  CAS  PubMed  Google Scholar 

  181. Choy, B. Systematic review: acculturation strategies and their impact on the mental health of migrant populations. Public Health Pract. 2, 100069 (2021).

    Article  CAS  Google Scholar 

  182. Hynie, M. The social determinants of refugee mental health in the post-migration context: a critical review. Can. J. Psychiatry 63, 297–303 (2018).

    Article  PubMed  Google Scholar 

  183. Carlbring, P. Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis. Cogn. Behav. Ther. 47, 1–18 (2018).

    Article  PubMed  Google Scholar 

  184. Bonnie, R. J. & Zelle, H. Ethics in Mental Health Care: A Public Health Perspective (Oxford Univ. Press, 2019).

  185. Gerke, S., Minssen, T. & Cohen, G. in Artificial Intelligence in Healthcare (eds Bohr, A. & Memarzadeh, K.) 295–336 (Academic Press, 2020).

  186. Mughal, F., Hossain, M. Z., Brady, A., Samuel, J. & Chew-Graham, C. A. Mental health support through primary care during and after COVID-19. Br. Med. J. 373, n1064 (2021).

    Article  Google Scholar 

  187. Kozelka, E. E. et al. Documenting the digital divide: identifying barriers to digital mental health access among people with serious mental illness in community settings. SSM Ment. Health 4, 100241 (2023).

    Article  Google Scholar 

  188. Naslund, J. A. & Deng, D. Addressing mental health stigma in low-income and middle-income countries: a new frontier for digital mental health. Ethics Med. Public Health 19, 100719 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  189. Wessely, S. et al. Modernising the Mental Health Act: Increasing Choice, Reducing Compulsion. Independent Review of the Mental Health Act 1983 (Department of Health and Social Care, 2018).

  190. Memon, A. Perceived barriers to accessing mental health services among black and minority ethnic (BME) communities: a qualitative study in southeast England. BMJ Open 6, 012337 (2016).

    Article  Google Scholar 

  191. Solaiman, B., Malik, A. & Ghuloum, S. Monitoring mental health: legal and ethical considerations of using artificial intelligence in psychiatric wards. Am. J. Law Med. 49, 250–266 (2023).

    Article  PubMed  Google Scholar 

  192. Price II, W. N., Gerke, S. & Cohen, I. G. in Research Handbook on Health, AI and the Law (eds. Solaiman, B. & Cohen, I. G.) 150–166 (Edward Elgar Publishing, 2024).

  193. Babu, A. & Joseph, A. P. Digital wellness or digital dependency? A critical examination of mental health apps and their implications. Front. Psychiatry 16, 1581779 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  194. Solaiman, B. et al. A ‘True Lifecycle Approach’ towards governing healthcare AI with the GCC as a global governance model. NPJ Digit. Med. 8, 337 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  195. Feinberg, I. Z., Gajra, A., Hetherington, L. & McCarthy, K. S. Simplifying informed consent as a universal precaution. Sci. Rep. 14, 13195 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  196. Solum, L. B. & Cohen, I. G. eds. Research handbook on Health, AI and the Law (Edward Elgar Publishing, 2024).

  197. Mohr, D. C. Accelerating digital mental health research from early design and creation to successful implementation and sustainment. J. Med. Internet Res. 19, 7725 (2017).

    Article  Google Scholar 

  198. Smith, L. & Mohan, R. If the government is serious about tackling inequalities, the Health and Care Bill must get serious about data. Br. Med. J. 376, o12 (2022).

    Article  Google Scholar 

  199. Martinez-Martin, N. Ethics of digital mental health during COVID-19: crisis and opportunities. JMIR Ment. Health 7, 23776 (2020).

    Article  Google Scholar 

  200. Care Quality Commission. Monitoring the Mental Health Act in 2020/21 (Care Quality Commission, 2022).

  201. Joshi, I. & Morley, J. Artificial Intelligence: How to Get It Right. Putting Policy into Practice for Safe Data-Driven Innovation in Health and Care (NHSX, 2019).

  202. Department of Health and Social Care. Initial Code of Conduct for Data-Driven Health and Care Technology (UK Government, 2019).

  203. Solaiman, B. Generative artificial intelligence (GenAI) and decision-making: legal & ethical hurdles for implementation in mental health. Int. J. Law Psychiatry 97, 102028 (2024).

    Article  PubMed  Google Scholar 

  204. Li, H. Transition of mental health service delivery to telepsychiatry in response to COVID-19: a literature review. Psychiatr. Q. 93, 181–197 (2022).

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We acknowledge the use of large language and multimodal models to assist with drafting and editing. All outputs were verified and integrated by the authors to ensure accuracy and integrity.

Author information

Authors and Affiliations

Authors

Contributions

M. Househ led the team by providing overall supervision, outlining the study, supplying materials and analysis tools, and contributing to the writing of the paper. H.A.S., J.S. and M. Hamdi conducted the core technical work. Z.U.A.T. and D.A.H. contributed to both the technical and conceptual development of the study. M.K. and D.A.H. contributed to the mental-health- and ethics-related sections. A.A.-A. provided materials and analysis tools and contributed to writing the paper. A.A. contributed materials and analysis tools. B.S. contributed content on the legal dimensions of the topic. A.K. contributed to the health informatics aspects. S.K.A.-N. contributed to the psychiatry- and mental-health-related content. All authors reviewed the manuscript, provided critical feedback and approved the final version.

Corresponding author

Correspondence to Mowafa Househ.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Human Behaviour thanks Sheikh Mohammed Shariful Islam and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Appendix

Summary of findings and observations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Househ, M., Shah, H.A., Tariq, Z.U.A. et al. Digital mental health needs a purpose-driven approach. Nat Hum Behav 10, 227–238 (2026). https://doi.org/10.1038/s41562-025-02380-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41562-025-02380-6

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing