Rethinking technology innovation for mental health: framework for multi-sectoral collaboration
Engel, G. L. The need for a new medical model: a challenge for biomedicine. Science 196, 129–136 (1977).
Google Scholar
Porcari, D. E., Ricciardi, E. & Orfei, M. D. A new scale to assess technostress levels in an Italian banking context: the work-related technostress questionnaire. Front. Psychol. 14, 1253960 (2023).
Google Scholar
Johnson, A. et al. A review and agenda for examining how technologydriven changes at work will impact workplace mental health and employee well-being. Aust. J. Manag. 45, 402–424 (2020).
Google Scholar
Khetawat, D. & Steele, R. G. Examining the association between digital stress components and psychological wellbeing: a meta-analysis. Clin. Child Family Psychol. Rev. 26, 957–974 (2023).
Google Scholar
Przybylski, A. K., Murayama, K., DeHaan, C. R. & Gladwell, V. F. Motivational, emotional and behavioral correlates of fear of missing out. Comput. Hum. Behav. 29, 1841–1848 (2013).
Google Scholar
Reinecke, L. et al. Digital stress over the life span: the effects of communication load and internet multitasking on perceived stress and psychological health impairments in a German probability sample. Media Psychol. 20, 115–190 (2017).
Google Scholar
Rohwer, E., Flöther, J.-C., Harth, V. & Mache, S. Overcoming the ‘dark side’ of technology—a scoping review on preventing and coping with work-related technostress. Int. J. Environ. Res. Public Health 19, 3625 (2022).
Google Scholar
Keles, B., McCrae, N. & Grealish, A. A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents. Int. J. Adolesc. Youth 25, 79–93 (2019).
Google Scholar
Hinduja, S. & Patchin, J. W. Cyberbullying: an exploratory analysis of factors related to offending and victimization. Deviant Behav. 29, 129–156 (2008).
Google Scholar
Viner, R. M. et al. Roles of cyberbullying, sleep, and physical activity in mediating the effects of social media use on mental health and wellbeing among young people in England: a secondary analysis of longitudinal data. Lancet Child Adolesc. Health 3, 685–696 (2019).
Google Scholar
Varjas, K., Meyers, J., Kiperman, S. & Howard, A. Technology hurts? Lesbian, gay and bisexual youth perspectives of technology and cyberbullying. J. School Violence 12, 27–44 (2013).
Google Scholar
O’Keeffe, G. S. et al. The impact of social media on children, adolescents and families. Pediatrics 127, 800–804 (2011).
Google Scholar
Weinstein, E. & Selman, R. L. Digital stress: adolescents’ personal accounts. New Media Soc. 18, 391–409 (2016).
Google Scholar
Mitchell, K. J., Jones, L. M., Turner, H. A., Shattuck, A. & Wolak, J. The role of technology in peer harassment: does it amplify harm for youth? Psychol. Violence 6, 193–204 (2016).
Google Scholar
Alonzo, R., Hussain, J., Stranges, S. & Anderson, K. K. Interplay between social media use, sleep quality and mental health in youth: a systematic review. Sleep Med. Rev. 56, 101414 (2020).
Google Scholar
Henzel, V. & Håkansson, A. Hooked on virtual social life. Problematic social media use and associations with mental distress and addictive disorders. PLoS ONE 16, e0248406 (2021).
Google Scholar
O’Reilly, M. et al. Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clin. Child Psychol. Psychiatry 23, 601–613 (2018).
Google Scholar
Scott, D. A., Valley, B. & Simecka, B. A. Mental health concerns in the digital age. Int. J. Ment. Health Addiction 15, 604–613 (2017).
Google Scholar
Tsitsika, A. K. et al. Online social networking in adolescence: patterns of use in six European countries and links with psychosocial functioning. J. Adolesc. Health 55, 141–147 (2014).
Google Scholar
Plackett, R., Blyth, A. & Schartau, P. The impact of social media use interventions on mental well-being: systematic review. J. Med. Internet Res. 25, e44922 (2023).
Google Scholar
Ivie, E. J., Pettitt, A., Moses, L. J. & Allen, N. B. A meta-analysis of the association between adolescent social media use and depressive symptoms. J. Affect. Disord. 275, 165–174 (2020).
Google Scholar
Lin, S., Liu, D., Feng Niu, G. & Longobardi, C. Active social network sites use and loneliness: the mediating role of social support and self-esteem. Curr. Psychol. (2020).
Best, P., Manktelow, R. & Taylor, B. Online communication, social media and adolescent wellbeing: a systematic narrative review. Child. Youth Serv. Rev. 41, 27–36 (2014).
Google Scholar
Allen, K. A., Ryan, T., Gray, D. L., McInerney, D. M. & Waters, L. Social media use and social connectedness in adolescents: the positives and the potential pitfalls. Educ. Dev. Psychol. 31, 18–31 (2014).
Ridout, B. & Campbell, A. J. The use of social networking sites in mental health interventions for young people: systematic review. J. Med. Internet Res. 20, e12244 (2018).
Google Scholar
Sadagheyani, H. E. & Tatari, F. Investigating the role of social media on mental health. Ment. Health Soc. Incl. 25, 41–51 (2021).
Google Scholar
Lehtimaki, S., Martic, J., Wahl, B., Foster, K. T. & Schwalbe, N. Evidence on digital mental health interventions for adolescents and young people: systematic overview. JMIR Ment. Health 8, e25847 (2020).
Google Scholar
Heron, K. E. & Smyth, J. M. Ecological momentary interventions: incorporating mobile technology into psychosocial and health behaviour treatments. Br. J. Health Psychol. 15, 1–39 (2010).
Google Scholar
Torous, J. et al. Digital mental health and COVID-19: using technology today to accelerate the curve on access and quality tomorrow. JMIR Ment. Health 7, e18848 (2020).
Google Scholar
Mohr, D. C., Weingardt, K. R., Reddy, M. & Schueller, S. M. Three problems with current digital mental health research… and three things we can do about them. Psychiatr. Serv. 68, 427–429 (2017).
Google Scholar
Gooding, P. & Kariotis, T. C. Ethics and law in research on algorithmic and data-driven technology in mental health care: scoping review. JMIR Ment. Health 8, e24668 (2021).
Google Scholar
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).
Google Scholar
Coghlan, S. et al. To chat or bot to chat: Ethical issues with using chatbots in mental health. Digit. Health 9, 20552076231183542 (2023).
Floridi, L. & Cowls, J. A unified framework of five principles for AI in society. Harvard Data Sci. Rev. (2019).
Ong, D. C. An ethical framework for guiding the development of affectively-aware artificial intelligence. In Proc. 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) 1–8 (IEEE, 2021); https://doi.org/10.1109/ACII52823.2021.9597441
Hernandez, J. et al. Guidelines for assessing and minimizing risks of emotion recognition applications. In Proc. 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) 1–8 (IEEE, 2021); https://doi.org/10.1109/ACII52823.2021.9597452
Bowie-DaBreo, D., Sas, C., Sunram-Lea, S.-I. & Iles-Smith, H. A call for responsible innovation in mobile mental health: Findings from a content analysis and ethical review of the depression app marketplace. Annu. Rev. CyberTher. Telemed 18, 11–15 (2020).
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).
Google Scholar
Aljedaani, B. & Babar, M. A. Challenges with developing secure mobile health applications: systematic review. JMIR mHealth uHealth 9, e15654 (2021).
Google Scholar
O’Loughlin, K., Neary, M., Adkins, E. C. & Schueller, S. M. Reviewing the data security and privacy policies of mobile apps for depression. Internet Interv. 15, 110–115 (2018).
Google Scholar
Kim, J. Data brokers and the sale of Americans’ mental health data. Sanford School of Public Policy (2023).
Bauer, M. et al. Smartphones in mental health: a critical review of background issues, current status and future concerns. Int. J. Bipolar Disord. 8, 2 (2020).
Google Scholar
Larsen, M. E. et al. Using science to sell apps: evaluation of mental health app store quality claims. NPJ Digit. Med. 2, 18 (2019).
Google Scholar
Lattie, E. G. et al. Opportunities for and tensions surrounding the use of technology-enabled mental health services in community mental health care. Adm. Policy Ment. Health 47, 138–149 (2019).
Google Scholar
Saad, A. et al. Mobile technology assisted interventions targeting mental health among pregnant and postpartum women: a protocol for an equity focused systematic review. PLoS ONE 16, e0259474 (2021).
Google Scholar
Ennis, L., Rose, D., Denis, M., Pandit, N. & Wykes, T. Can’t surf, won’t surf: the digital divide in mental health. J. Ment. Health 21, 395–403 (2012).
Google Scholar
Robotham, D. J., Satkunanathan, S., Doughty, L. & Wykes, T. Do we still have a digital divide in mental health? A five-year survey follow-up. J. Med. Internet Res. 18, e309 (2016).
Google Scholar
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).
Li, H. et al. Transition of mental health service delivery to telepsychiatry in response to COVID-19: a literature review. Psychiatric Q. 93, 181–197 (2021).
Google Scholar
Cowan, K. E., McKean, A. J., Gentry, M. T. & Hilty, D. M. Barriers to use of telepsychiatry: clinicians as gatekeepers. Mayo Clinic Proc. 94, 2510–2523 (2019).
Google Scholar
Lattie, E. G. et al. Uptake and usage of intellicare: a publicly available suite of mental health and well-being apps. Internet Interv. 4, 152–158 (2016).
Google Scholar
Mohr, D. C. et al. IntelliCare: an eclectic, skills-based app suite for the treatment of depression and anxiety. J. Med. Internet Res. 19, e10 (2017).
Google Scholar
Neary, M. et al. A process for reviewing mental health apps: using the One Mind Psyberguide Credibility Rating system. Digit. Health (2021).
Neary, M. & Schueller, S. M. State of the field of mental health apps. Cogn. Behav. Pract. 25, 531–537 (2018).
Google Scholar
Torous, J. B. & Roberts, L. W. Needed innovation in digital health and smartphone applications for mental health: transparency and trust. JAMA Psychiatry 74, 437–438 (2017).
Google Scholar
Anthes, E. Mental health: there’s an app for that. Nature 532, 20–23 (2016).
Google Scholar
Bzdok, D. & Meyer-Lindenberg, A. Machine learning for precision psychiatry: opportunities and challenges. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 3, 223–230 (2017).
Google Scholar
Thieme, A., Belgrave, D. & Doherty, G. Machine learning in mental health. ACM Trans. Comput. Hum. Interact. 27, 1–53 (2020).
Google Scholar
Cummins, N. et al. A review of depression and suicide risk assessment using speech analysis. Speech Commun. 71, 10–49 (2015).
Google Scholar
Wang, R. et al. Tracking depression dynamics in college students using mobile phone and wearable sensing. In Proc. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Vol. 2, 1–26 (ACM, 2018).
Park, M. J., Kim, D. J., Lee, U., Na, E. J. & Jeon, H. J. A literature overview of virtual reality (VR) in treatment of psychiatric disorders: recent advances and limitations. Front. Psychiatry 10, 505 (2019).
Google Scholar
Riva, G., Banõs, R. M., Botella, C., Mantovani, F. & Gaggioli, A. Transforming experience: the potential of augmented reality and virtual reality for enhancing personal and clinical change. Front. Psychiatry 7, 164 (2016).
Google Scholar
Fitzpatrick, K. K., Darcy, A. M. & Vierhile, M. Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR Ment. Health 4, e19 (2017).
Google Scholar
Vaidyam, A. N., Wisniewski, H., Halamka, J. D., Kashavan, M. S. & Torous, J. B. Chatbots and conversational agents in mental health: a review of the psychiatric landscape. Can. J. Psychiatry 64, 456–464 (2019).
Google Scholar
Loveys, K., Antoni, M., Donkin, L., Sagar, M. & Broadbent, E. Comparing the feasibility and acceptability of a virtual human, teletherapy and an e-manual in delivering a stress management intervention to distressed adult women: pilot study. JMIR Form. Res. 7, e42390 (2023).
Google Scholar
Laestadius, L., Bishop, A., Gonzalez, M., Illenčík, D. & Campos-Castillo, C. Too human and not human enough: a grounded theory analysis of mental health harms from emotional dependence on the social chatbot replika. New Media Soc. (2022).
Wilson, K. et al. Exploring the use of body-worn cameras in acute mental health wards: a qualitative interview study with mental health patients and staff. Int. J. Nurs. Stud. 140, 104456 (2023).
Google Scholar
Appenzeller, Y. E., Appelbaum, P. S. & Trachsel, M. Ethical and practical issues in video surveillance of psychiatric units. Psychiatric Serv. (2019).
Simpson, A. Surveillance, CCTV and body-worn cameras in mental health care. J. Ment. Health 32, 369–372 (2023).
Google Scholar
Anastasi, G. & Bambi, S. Utilization and effects of security technologies in mental health: a scoping review. Int. J. Ment. Health Nurs. 32, 1561–1582 (2023).
Google Scholar
Federal Trade Commission. FTC to ban BetterHelp from revealing consumers’ data, including sensitive mental health information, to Facebook and others for targeted advertising. (2 March 2023).
Satariano, A. British ruling pins blame on social media for teenager’s suicide. The New York Times (1 October 2022).
Gooding, P. Mapping the rise of digital mental health technologies: emerging issues for law and society. Int. J. Law Psychiatry 67, 101498 (2019).
Google Scholar
Stade, E. C. et al. Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation. Preprint at PsyArXiv (2023).
Milton, A., Ajmani, L., DeVito, M. A. & Chancellor, S. ‘I see me here’: mental health content, community and algorithmic curation on TikTok. In Proc. 2023 CHI Conference on Human Factors in Computing Systems 480 (ACM, 2023).
Voigt, P. & Von dem Bussche, A. The EU General Data Protection Regulation (GDPR): a Practical Guide 1st edn., 10–5555 (Springer, 2017).
Arbanas, G. Diagnostic and statistical manual of mental disorders (DSM-5). Alcoholism Psychiatry Res. 51, 61–64 (2015).
Kroenke, K., Spitzer, R. L. & Williams, J. B. The PHQ-9: validity of a brief depression severity measure. J. Gen. Internal Med. 16, 606–613 (2001).
Google Scholar
Spitzer, R. L., Kroenke, K., Williams, J. B. W. & Löwe, B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch. Intern. Med. 166, 1092–1097 (2006).
Google Scholar
Rodden, K., Hutchinson, H. & Fu, X. Measuring the user experience on a large scale: user-centered metrics for web applications. In Proc. SIGCHI Conference on Human Factors in Computing Systems 2395–2398 (ACM, 2010).
Park, Y., Fritz, C. & Jex, S. M. Daily cyber incivility and distress: the moderating roles of resources at work and home. J. Manag. 44, 2535–2557 (2018).
Derks, D. & Bakker, A. B. Smartphone use, work-home interference, and burnout: a diary study on the role of recovery. Appl. Psychol. 63, 411–440 (2014).
Google Scholar
Odgers, C. L. & Jensen, M. R. Annual research review: adolescent mental health in the digital age: facts, fears and future directions. J. Child Psychol. Psychiatry 61, 336–348 (2020).
Google Scholar
Dalgleish, T., Black, M. J., Johnston, D. & Bevan, A. Transdiagnostic approaches to mental health problems: current status and future directions. J. Consult. Clin. Psychol. 88, 179–195 (2020).
Google Scholar
Porche, M. V., Folk, J. B., Tolou-Shams, M. & Fortuna, L. R. Researchers’ perspectives on digital mental health intervention co-design with marginalized community stakeholder youth and families. Front. Psychiatry 13, 867460 (2022).
Google Scholar
Vial, S., Boudhraˆa, S. & Dumont, M. Human-centered design approaches in digital mental health interventions: exploratory mapping review. JMIR Ment. Health 9, e35591 (2022).
Google Scholar
Schueller, S. M., Hunter, J. F., Figueroa, C. & Aguilera, A. Use of digital mental health for marginalized and underserved populations. Curr. Treat. Options Psychiatry 6, 243–255 (2019).
Google Scholar
Burkett, I. An Introduction to Co-design (Knode, 2012).
Bevan Jones, R. et al. Practitioner review: co-design of digital mental health technologies with children and young people. J. Child Psychol. Psychiatry 61, 928–940 (2020).
Google Scholar
Baumel, A., Fleming, T. & Schueller, S. M. Digital micro interventions for behavioral and mental health gains: core components and conceptualization of digital micro intervention care. J. Med. Internet Res. 22, e20631 (2020).
Google Scholar
Schleider, J. L. & Weisz, J. R. Little treatments, promising effects? Meta-analysis of single-session interventions for youth psychiatric problems. J. Am. Acad. Child Adolesc. Psychiatry 56, 107–115 (2017).
Google Scholar
Campbell, A. Single session interventions: an example of clinical research in practice. Aust. N. Z. J. Fam. Ther. 20, 183–194 (1999).
Google Scholar
Kappelmann, N., Müller-Myhsok, B. & Kopf-Beck, J. Adapting the randomised controlled trial (RCT) for precision medicine: introducing the nested-precision RCT (npRCT). Trials 22, 13 (2021).
Google Scholar
Ma, M. A., Gutiérrez, D. E., Frausto, J. M. & Al-Delaimy, W. K. Minority representation in clinical trials in the United States: trends over the past 25 years. Mayo Clin. Proc. 96, 264–266 (2021).
Google Scholar
Bindman, A. B. The Agency for Healthcare Research and Quality and the development of a learning health care system. JAMA Intern. Med. 177, 909–910 (2017).
Google Scholar
Anderson, M. & Jiang, J. Teens, Social Media and Technology 2022 (Pew Research Center, 2022); https://www.pewresearch.org/internet/2022/08/10/teens-socialmedia-and-technology-2022/
US Department of Education Office of Educational Technology. Teacher Digital Learning Guide. (15 October 2021).
Falloon, G. From digital literacy to digital competence: the teacher digital competency (TDC) framework. Educ. Technol. Res. Dev 2020, 1–24 (2020).
Sussman, N. & DeJong, S. M. Ethical considerations for mental health clinicians working with adolescents in the digital age. Curr. Psychiatry Rep. 20, 113 (2018).
Google Scholar
Barnett, J. E. & Kolmes, K. The practice of tele-mental health: ethical, legal and clinical issues for practitioners. Pract. Innov. 1, 53–66 (2016).
Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L. & Booth, M. Does time spent using social media impact mental health? An eight year longitudinal study. Comput. Hum. Behav. 104, 106160 (2020).
Google Scholar
Ernala, S. K. et al. The reintegration journey following a psychiatric hospitalization: examining the role of social technologies. Proc. ACM Hum. Comput. Interact. 6, 122 (2022).
Google Scholar
link
