Bibliometric Profile of Digital Mental Health (DMH) Interventions: Mapping of Advantages, Disadvantages, Effectiveness, Risks, and Future Potential

Öz

This study is a systematic bibliometric mapping study that aims to reveal the bibliometric profile and intellectual structure of scientific publications focusing on the themes of advantages, disadvantages, effectiveness, risks, and future potential of Digital Mental Health (DMH) interventions. A comprehensive search was conducted using the Web of Science and Scopus databases for the period 2015-2025. The study was limited to publications in English that included the document types “Article” and “Review.” Data sets were created for five separate thematic focuses (advantages, disadvantages, effectiveness, risks, potentials), and the sample sizes were determined as 5.321, 10.553, 8.983, 4.554, and 5.534 records, respectively. The data were analyzed using the Bibliometrix package and the Biblioshiny interface in R Studio. The theme with the highest number of publications (501) offers the most advantages. The most influential journals are “Jmir Mental Health, Journal of Affective Disorders, Internet Interventions-The Application of Information Technology in Mental and Behavioural Health, Journal of Technology in Behavioural Science”; “Kings College London” is the leading institution. The United States is the most productive country, with the terms “female”, “male” and “adult” playing a central role in almost all themes. Since 2019, the themes “depression, mental health, female, mobile application” and “mental health” have been frequently used, and a group of 10-12 authors collaborating on these themes has been identified. DMH literature exhibits a heterogeneous and dynamic structure. The current studies’ focus on adult women and depression/anxiety highlights the need for research that includes different demographic groups and mental health issues. This study provides a comprehensive thematic framework for future research.

Anahtar Kelimeler

• digital mental health
• advantages
• disadvantages
• effectiveness
• potential
• risks
• bibliometric analysis

Dijital Ruh Sağlığı (DRS) Müdahalelerinin Bibliyometrik Profili: Avantajlar, Dezavantajlar, Etkillik, Riskler ve Gelecek Potansiyellerinin Haritalandırılması

Öz

Bu çalışma, Dijital Ruh Sağlığı (DRS) müdahalelerinin avantaj, dezavantaj, etkililik, risk ve gelecek potansiyelleri temalarına odaklanan bilimsel yayınların bibliyometrik profilini ve entelektüel yapısını ortaya koymayı amaçlayan sistematik bir bibliyometrik haritalama çalışmasıdır. Web of Science ve Scopus veri tabanları kullanılarak 2015-2025 yılları arasında kapsamlı bir tarama gerçekleştirilmiştir. Çalışma, İngilizce dilinde yayınlanmış olan ve “Article” ile “Review” doküman türlerini içeren yayınlarla sınırlandırılmıştır. Beş ayrı tematik odak (avantajlar, dezavantajlar, etkililik, riskler, potansiyeller) için veri setleri oluşturulmuş ve örneklem büyüklükleri sırasıyla 5.321, 10.553, 8.983, 4.554 ve 5.534 kayıt olarak belirlenmiştir. Veriler, R Studio'da Bibliometrix paketi ve Biblioshiny arayüzü kullanılarak analiz edilmiştir. Avantajlar en fazla yayın sayısına (501) sahip temadır. “Jmir Mental Health, Journal of Affective Disorders, Internet Interventions - The Application of Information Technology in Mental and Behavioural Health, Journal of Technology in Behavioural Science” en etkili dergiler; “Kings Collage London” önde gelen kurumdur. ABD en üretken ülke olup, “female”, “male” ve “adult” terimleri neredeyse tüm temalarda merkezi rol oynamaktadır. 2019'dan itibaren “depression, mental health, female, mobile application” ve “mental health” temaları sıklıkla kullanılmakta olup, 10-12 arasında değişen yazar iş birliği grubu tespit edilmiştir. DRS alan yazını heterojen ve dinamik bir yapı sergilemektedir. Mevcut çalışmaların yetişkin kadınlar ve depresyon/anksiyete odaklı olması, farklı demografik grupları ve ruh sağlığı sorunlarını içeren araştırmalara olan ihtiyacı ortaya koymaktadır. Bu çalışma, gelecek araştırmalar için kapsamlı bir tematik çerçeve sunmaktadır.

Anahtar Kelimeler

• dijital ruh sağlığı
• avantajlar
• dezavantajlar
• etkililik
• potansiyeller
• riskler
• bibliyometrik analiz

Kaynakça

1. Abdulazeem, H., Borges Do Nascimento, I. J., Weerasekara, I., Sharifan, A., Grandi Bianco, V., Cunningham, C., Kularathne, I., Deeken, G., De Barros, J., Sathian, B., Østengaard, L., Lamontagne-Godwin, F., Van Hoof, J., Lazeri, L., Redlich, C., Marston, H. R., Dos Santos, R. A., Azzopardi-Muscat, N., Yon, Y., & Novillo-Ortiz, D. (2025). Use of Digital Health Technologies for Dementia Care: Bibliometric Analysis and Report. JMIR Mental Health, 12, e64445. https://doi.org/10.2196/64445
2. Adler, J., & Van Brunt, D. (2025). It is Time to Realize the Promise of the Digital Mental Health Transformation: Application for Population Mental Health. Journal of Medical Internet Research, 27, e63791–e63791. https://doi.org/10.2196/63791
3. Alan, H. (2025). A comprehensive evaluation of digital mental health literature: An integrative review and bibliometric analysis. Behaviour & Information Technology, 44(10), 2282–2304. https://doi.org/10.1080/0144929X.2024.2303626
4. Andersson, G. (2016). Internet-Delivered Psychological Treatments. In Annual Review of Clinical Psychology (Vol. 12, pp. 157–179). Annual Reviews Inc. 4139 El Camino Way, P.O. Box 10139 Palo Alto CA 94306. https://doi.org/10.1146/annurev-clinpsy-021815-093006
5. Armaou, M. (2024). Research Trends in the Study of Acceptability of Digital Mental Health-Related Interventions: A Bibliometric and Network Visualisation Analysis. Social Sciences, 13(2), 114. https://doi.org/10.3390/socsci13020114
6. Atılgan, E., & Uslu, E. (2024). Ruh Sağlığı Alanında Yapay Zeka Araştırmaları: Bibliyometrik Bir Değerlendirme. Osmangazi Journal Of Medicine, 46(4). https://doi.org/10.20515/otd.1435157
7. Baca Biçer, F., Yılmaz, O., & Şengüllendi, H. (2023). Nöropsikoloji Alanında Yapılan Akademik Çalışmaların Son 20 Yılı Üzerine Bir Bibliyometrik Analiz. Journal of Social Research and Behavioral Sciences, 9(19), 562–576. https://doi.org/10.52096/jsrbs.9.19.41
8. Balcombe, L. (2023). AI Chatbots in Digital Mental Health. Informatics, 10(4), 82. https://doi.org/10.3390/informatics10040082

9. Balcombe, L., & De Leo, D. (2021). Digital Mental Health Challenges and the Horizon Ahead for Solutions. JMIR Mental Health, 8(3), e26811. https://doi.org/10.2196/26811
10. Denecke, K., Schmid, N., & Nüssli, S. (2022). Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review. Journal of Medical Internet Research, 24(3), e27791. https://doi.org/10.2196/27791
11. Duran, V., & Aydın, E. (2024). Eğitimde Yapay Zekanın Kapsamlı İncelenmesi: Web of Science Veri Tabanı Üzerinden Bir AI Destekli Bibliyometrik Analiz. International Journal of Social and Humanities Sciences Research, 11(104), 468–484. https://doi.org/10.5281/ZENODO.10737254
12. Ellis, L. A., Meulenbroeks, I., Churruca, K., Pomare, C., Hatem, S., Harrison, R., Zurynski, Y., & Braithwaite, J. (2021). The Application of e-Mental Health in Response to COVID-19: Scoping Review and Bibliometric Analysis. JMIR Mental Health, 8(12), e32948. https://doi.org/10.2196/32948
13. Fernández-Batanero, J. M., Fernández-Cerero, J., Montenegro-Rueda, M., & Fernández-Cerero, D. (2025). Effectiveness of Digital Mental Health Interventions for Children and Adolescents. Children, 12(3), 353. https://doi.org/10.3390/children12030353
14. Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). 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 Mental Health, 4(2), e19. https://doi.org/10.2196/mental.7785
15. Fulmer, R., Joerin, A., Gentile, B., Lakerink, L., & Rauws, M. (2018). Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial. JMIR Mental Health, 5(4), e64. https://doi.org/10.2196/mental.9782
16. Gega, L., Jankovic, D., Saramago, P., Marshall, D., Dawson, S., Brabyn, S., Nikolaidis, G. F., Melton, H., Churchill, R., & Bojke, L. (2022). Digital interventions in mental health: Evidence syntheses and economic modelling. Health Technology Assessment, 26(1), 1–182. https://doi.org/10.3310/RCTI6942
17. Gonzalez Salas Duhne, P., Delgadillo, J., & Lutz, W. (2022). Predicting early dropout in online versus face-to-face guided self-help: A machine learning approach. Behaviour Research and Therapy, 159, 104200. https://doi.org/10.1016/j.brat.2022.104200
18. Gotadki, R. (n.d.). Digital Mental Health Market Size, Share & Forecast to 2032.
19. Grieco-Page, H., Black, C. J., Berent, J. M., Gautam, B., & Betancourt, T. S. (2021). Beyond the Pandemic: Leveraging Rapid Expansions in U.S. Telemental Health and Digital Platforms to Address Disparities and Resolve the Digital Divide. Frontiers in Psychiatry, 12, 671502. https://doi.org/10.3389/fpsyt.2021.671502
20. Himle, J. A., Weaver, A., Zhang, A., & Xiang, X. (2022). Digital Mental Health Interventions for Depression. Cognitive and Behavioral Practice, 29(1), 50–59. https://doi.org/10.1016/j.cbpra.2020.12.009
21. Hollis, C., Falconer, C. J., Martin, J. L., Whittington, C., Stockton, S., Glazebrook, C., & Davies, E. B. (2017). Annual Research Review: Digital health interventions for children and young people with mental health problems – a systematic and meta‐review. Journal of Child Psychology and Psychiatry, 58(4), 474–503. https://doi.org/10.1111/jcpp.12663
22. Hu, J., Li, C., Ge, Y., Yang, J., Zhu, S., & He, C. (2024). Mapping the Evolution of Digital Health Research: Bibliometric Overview of Research Hotspots, Trends, and Collaboration of Publications in JMIR (1999-2024). Journal of Medical Internet Research, 26, e58987. https://doi.org/10.2196/58987
23. Hunter, J. F., Walsh, L. C., Chan, C.-K., & Schueller, S. M. (2023). Editorial: The good side of technology: how we can harness the positive potential of digital technology to maximize well-being. Frontiers in Psychology, 14, 1304592. https://doi.org/10.3389/fpsyg.2023.1304592
24. Inkster, B., Knibbs, C., & Bada, M. (2023). Cybersecurity: A critical priority for digital mental health. Frontiers in Digital Health, 5, 1242264. https://doi.org/10.3389/fdgth.2023.1242264
25. Iwaya, L. H., Babar, M. A., Rashid, A., & Wijayarathna, C. (2023). On the privacy of mental health apps: An empirical investigation and its implications for app development. Empirical Software Engineering, 28(1), 2. https://doi.org/10.1007/s10664-022-10236-0
26. Karaboğa, H. A. (2019). Örgütsel davranış araştırmalarının bibliometrik analizi. Yıldız Teknik Üniversitesi.
27. Karkosz, S., Szymański, R., Sanna, K., & Michałowski, J. (2024). Effectiveness of a Web-based and Mobile Therapy Chatbot on Anxiety and Depressive Symptoms in Subclinical Young Adults: Randomized Controlled Trial. JMIR Formative Research, 8, e47960. https://doi.org/10.2196/47960
28. Kinoshita, S., Cortright, K., Crawford, A., Mizuno, Y., Yoshida, K., Hilty, D., Guinart, D., Torous, J., Correll, C. U., Castle, D. J., Rocha, D., Yang, Y., Xiang, Y., Kølbæk, P., Dines, D., ElShami, M., Jain, P., Kallivayalil, R., Solmi, M., … Kishimoto, T. (2024). Changes in telepsychiatry regulations during the COVID-19 pandemic: 17 countries and regions’ approaches to an evolving healthcare landscape. Psychological Medicine, 52(13), 2606–2613. https://doi.org/10.1017/S0033291720004584
29. Larsen, M. E., Huckvale, K., Nicholas, J., Torous, J., Birrell, L., Li, E., & Reda, B. (2019). Using science to sell apps: Evaluation of mental health app store quality claims. Npj Digital Medicine, 2(1), 18. https://doi.org/10.1038/s41746-019-0093-1
30. Lattie, E. G., Adkins, E. C., Winquist, N., Stiles-Shields, C., Wafford, Q. E., & Graham, A. K. (2019). Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review. Journal of Medical Internet Research, 21(7), e12869. https://doi.org/10.2196/12869
31. Lee, E. E., Torous, J., De Choudhury, M., Depp, C. A., Graham, S. A., Kim, H.-C., Paulus, M. P., Krystal, J. H., & Jeste, D. V. (2021). Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 6(9), 856–864. https://doi.org/10.1016/j.bpsc.2021.02.001
32. Lipschitz, J. M., Van Boxtel, R., Torous, J., Firth, J., Lebovitz, J. G., Burdick, K. E., & Hogan, T. P. (2022). Digital Mental Health Interventions for Depression: Scoping Review of User Engagement. Journal of Medical Internet Research, 24(10), e39204. https://doi.org/10.2196/39204
33. Löchner, J., Carlbring, P., Schuller, B., Torous, J., & Sander, L. B. (2025). Digital interventions in mental health: An overview and future perspectives. Internet Interventions, 40, 100824. https://doi.org/10.1016/j.invent.2025.100824
34. Mohr, D. C., Lyon, A. R., Lattie, E. G., Reddy, M., & Schueller, S. M. (2017). Accelerating Digital Mental Health Research From Early Design and Creation to Successful Implementation and Sustainment. Journal of Medical Internet Research, 19(5), e153. https://doi.org/10.2196/jmir.7725
35. Morkoç, M., & Güler, O. (2025). Küresel ve Ulusal Perspektifte Nörososyoloji: Türkiye’deki Çalışmaların Analizi ve Gelecek Vizyonu. International Journal of Social Inquiry, 18(1), 153–175. https://doi.org/10.37093/ijsi.1629352
36. O’Shea, A. M. J., Howren, M. B., Mulligan, K., Haraldsson, B., Shahnazi, A., & Kaboli, P. J. (2023). Quantifying the Digital Divide: Associations of Broadband Internet with Tele-mental Health Access Before and During the COVID-19 Pandemic. Journal of General Internal Medicine, 38(S3), 832–840. https://doi.org/10.1007/s11606-023-08120-8
37. Park, S. Y., Nicksic Sigmon, C., & Boeldt, D. (2022). A Framework for the Implementation of Digital Mental Health Interventions: The Importance of Feasibility and Acceptability Research. Cureus. https://doi.org/10.7759/cureus.29329
38. Parker, L., Halter, V., Karliychuk, T., & Grundy, Q. (2019). How private is your mental health app data? An empirical study of mental health app privacy policies and practices. International Journal of Law and Psychiatry, 64, 198–204. https://doi.org/10.1016/j.ijlp.2019.04.002
39. Peyton, D., Goods, M., & Hiscock, H. (2022). The Effect of Digital Health Interventions on Parents’ Mental Health Literacy and Help Seeking for Their Child’s Mental Health Problem: Systematic Review. Journal of Medical Internet Research, 24(2), e28771. https://doi.org/10.2196/28771
40. Powell, A., Singh, P., & Torous, J. (2018). The Complexity of Mental Health App Privacy Policies: A Potential Barrier to Privacy. JMIR mHealth and uHealth, 6(7), e158. https://doi.org/10.2196/mhealth.9871
41. Riboldi, I., Cavaleri, D., Calabrese, A., Capogrosso, C. A., Piacenti, S., Bartoli, F., Crocamo, C., & Carrà, G. (2023). Digital mental health interventions for anxiety and depressive symptoms in university students during the COVID-19 pandemic: A systematic review of randomized controlled trials. Revista de Psiquiatría y Salud Mental, 16, 47–58. https://doi.org/10.1016/j.rpsm.2022.04.005
42. Rowley, J., & Slack, F. (2004). Conducting a literature review. Management Research News, 27(6), 31–39. https://doi.org/10.1108/01409170410784185
43. Şanlı, M. E., Karatağ, A., & Çiçek, İ. (2023). Bibliometric Analysis of Academic Publications for Caregivers of Individuals with Schizophrenia. Humanistic Perspective, 5(3), 1098–1118. https://doi.org/10.47793/hp.1349300
44. Schueller, S. M., Hunter, J. F., Figueroa, C., & Aguilera, A. (2019). Use of Digital Mental Health for Marginalized and Underserved Populations. Current Treatment Options in Psychiatry, 6(3), 243–255. https://doi.org/10.1007/s40501-019-00181-z
45. Sharma, P., Wagani, R., & Varghese, M. A. (2025). Bibliometric analysis of research in ethical concerns and dilemmas of digital mental health care in the last two decades. Frontiers in Human Dynamics, 6, 1502432. https://doi.org/10.3389/fhumd.2024.1502432
46. Shi, J., & Khoo, Z. (2023). Online health community for change: Analysis of self-disclosure and social networks of users with depression. Frontiers in Psychology, 14, 1092884. https://doi.org/10.3389/fpsyg.2023.1092884
47. Smith, K. A., Blease, C., Faurholt-Jepsen, M., Firth, J., Van Daele, T., Moreno, C., Carlbring, P., Ebner-Priemer, U. W., Koutsouleris, N., Riper, H., Mouchabac, S., Torous, J., & Cipriani, A. (2023). Digital mental health: Challenges and next steps. BMJ Mental Health, 26(1), e300670. https://doi.org/10.1136/bmjment-2023-300670
48. Surani, A., Bawaked, A., Wheeler, M., Kelsey, B., Roberts, N., Vincent, D., & Das, S. (2023). Security and Privacy of Digital Mental Health: An Analysis of Web Services and Mobile Apps. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4469981
49. Taj, F., Klein, M. C. A., & Van Halteren, A. (2019). Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research. JMIR mHealth and uHealth, 7(12), e13311. https://doi.org/10.2196/13311
50. Timmons, A. C., Duong, J. B., Simo Fiallo, N., Lee, T., Vo, H. P. Q., Ahle, M. W., Comer, J. S., Brewer, L. C., Frazier, S. L., & Chaspari, T. (2023). A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health. Perspectives on Psychological Science, 18(5), 1062–1096. https://doi.org/10.1177/17456916221134490
51. Titov, N., Dear, B. F., Staples, L. G., Bennett-Levy, J., Klein, B., Rapee, R. M., Shann, C., Richards, D., Andersson, G., Ritterband, L., Purtell, C., Bezuidenhout, G., Johnston, L., & Nielssen, O. B. (2015). MindSpot Clinic: An Accessible, Efficient, and Effective Online Treatment Service for Anxiety and Depression. Psychiatric Services, 66(10), 1043–1050. https://doi.org/10.1176/appi.ps.201400477
52. Tng, G. Y. Q., Koh, J., Soh, X. C., Majeed, N. M., & Hartanto, A. (2024). Efficacy of digital mental health interventions for PTSD symptoms: A systematic review of meta-analyses. Journal of Affective Disorders, 357, 23–36. https://doi.org/10.1016/j.jad.2024.04.074
53. Torous, J., Andersson, G., Bertagnoli, A., Christensen, H., Cuijpers, P., Firth, J., Haim, A., Hsin, H., Hollis, C., Lewis, S., Mohr, D. C., Pratap, A., Roux, S., Sherrill, J., & Arean, P. A. (2019). Towards a consensus around standards for smartphone apps and digital mental health. World Psychiatry, 18(1), 97–98. https://doi.org/10.1002/wps.20592
54. Torous, J., Bucci, S., Bell, I. H., Kessing, L. V., Faurholt‐Jepsen, M., Whelan, P., Carvalho, A. F., Keshavan, M., Linardon, J., & Firth, J. (2021). The growing field of digital psychiatry: Current evidence and the future of apps, social media, chatbots, and virtual reality. World Psychiatry, 20(3), 318–335. https://doi.org/10.1002/wps.20883
55. Torous, J., Linardon, J., Goldberg, S. B., Sun, S., Bell, I., Nicholas, J., Hassan, L., Hua, Y., Milton, A., & Firth, J. (2025). The evolving field of digital mental health: Current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality. World Psychiatry, 24(2), 156–174. https://doi.org/10.1002/wps.21299
56. Torous, J., Nicholas, J., Larsen, M. E., Firth, J., & Christensen, H. (2018). Clinical review of user engagement with mental health smartphone apps: Evidence, theory and improvements. Evidence Based Mental Health, 21(3), 116–119. https://doi.org/10.1136/eb-2018-102891
57. World Health Organization. (2022). World Mental Health Report: Transforming Mental Health for All (1st ed). World Health Organization.
58. Wu, L. (2024). Data Security and Privacy Considerations in Mental Health Settings: In K. Uludag & N. Ahmad (Eds.), Advances in Medical Technologies and Clinical Practice (pp. 237–266). IGI Global. https://doi.org/10.4018/979-8-3693-3112-5.ch011
59. Yang, K., Hu, Y., & Qi, H. (2022). Digital Health Literacy: Bibliometric Analysis. Journal of Medical Internet Research, 24(7), e35816. https://doi.org/10.2196/35816
60. Yardley, L., Spring, B. J., Riper, H., Morrison, L. G., Crane, D. H., Curtis, K., Merchant, G. C., Naughton, F., & Blandford, A. (2016). Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. American Journal of Preventive Medicine, 51(5), 833–842. https://doi.org/10.1016/j.amepre.2016.06.015
61. Yurdakul, M., & Bozdoğan, A. E. (2022). Web of Science Veri Tabanına Dayalı Bibliyometrik Değerlendirme: Fen Eğitimi Üzerine Yapılan Makaleler. Türkiye Bilimsel Araştırmalar Dergisi [Turkish Scientific Researches Journal], VII(I), 72–92.
62. Zale, A., Lasecke, M., Baeza-Hernandez, K., Testerman, A., Aghakhani, S., Muñoz, R. F., & Bunge, E. L. (2021). Technology and psychotherapeutic interventions: Bibliometric analysis of the past four decades. Internet Interventions, 25, 100425. https://doi.org/10.1016/j.invent.2021.100425
63. Zhang, W., Zhang, Q., Wang, P., Zhou, X., & Wu, Y. (2025). The Application of Generative Artificial Intelligence in mental health care: A bibliometric and visualized analysis. Asian Journal of Psychiatry, 110, 104596. https://doi.org/10.1016/j.ajp.2025.104596