Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications

Ebert, David Daniel; Harrer, Mathias; Apolinário-Hagen, Jennifer; Baumeister, Harald

doi:10.1007/978-981-32-9721-0_29

Cited by 78Digital Mental Health InterventionsMental Health Treatment and AccessMental Health Research Topics

Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications

Open access

Ebert, David Daniel, Harrer, Mathias, Apolinário-Hagen, Jennifer, Baumeister, Harald·2019·Advances in Experimental Medicine and Biology

DOI 10.1007/978-981-32-9721-0_29

Open this paper in CoChat — free account

Abstract

Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional face-to-face psychological interventions could potentially be overcome through Internet-based and mobile-based interventions (IMIs). This chapter introduces core features of IMIs, describes areas of application, presents evidence on the efficacy of IMIs as well as potential effect mechanisms, and delineates how Artificial Intelligence combined with IMIs may improve current practices in the prevention and treatment of mental disorders in adults. Meta-analyses of randomized controlled trials clearly show that therapist-guided IMIs can be highly effective for a broad range of mental health problems. Whether the effects of unguided IMIs are also clinically relevant, particularly under routine care conditions, is less clear. First studies on IMIs for the prevention of mental disorders have shown promising results. Despite limitations and challenges, IMIs are increasingly implemented into routine care worldwide. IMIs are also well suited for applications of Artificial Intelligence and Machine Learning, which provides ample opportunities to improve the identification and treatment of mental disorders. Together with methodological innovations, these approaches may also deepen our understanding of how psychological interventions work, and why. Ethical and professional restraints as well as potential contraindications of IMIs, however, should also be considered. In sum, IMIs have a high potential for improving the prevention and treatment of mental health disorders across various indications, settings, and populations. Therefore, implementing IMIs into routine care as both adjunct and alternative to face-to-face treatment is highly desirable. Technological advancements may further enhance the variability and flexibility of IMIs, and thus even further increase their impact in people's lives in the future.

Integrity signals

Registry

Crossref · 10.1007/978-981-32-9721-0_29

Cites

333 of 334 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391 · see citing works
Methods for the Economic Evaluation of Health Care Programmes
Drummond, M. E., Sculpher, M. J., Torrance, G. W., O’Brien, B. J., & Stoddart, G. L. (2005) · doi:10.1093/oso/9780198529446.001.0001 · Cited by 13,648 · see citing works
Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010
Whiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61611-6 · Cited by 6,006 · see citing works
Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report
Rush, A. J., Trivedi, M. H., Wisniewski, S. R., Nierenberg, A. A., Stewart, J. W., Warden, D., Niederehe, G., Thase, M. E., Lavori, P. W., Lebowitz, B. D., et al. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.11.1905 · Cited by 5,643 · see citing works
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147 · see citing works
Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
Breiman, L. (2001) · Statistical Science · doi:10.1214/ss/1009213726 · Cited by 4,340 · see citing works
The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses
Hofmann, S. G., Asnaani, A., Vonk, I. J. J., Sawyer, A. T., & Fang, A. (2012) · Cognitive Therapy and Research · doi:10.1007/s10608-012-9476-1 · Cited by 3,445 · see citing works
What is the impact of mental health-related stigma on help-seeking? A systematic review of quantitative and qualitative studies
Clement, S., Schauman, O., Graham, T., Maggioni, F., Evans-Lacko, S., Bezborodovs, N., Morgan, C., Rüsch, N., Brown, J. S. L., & Thornicroft, G. (2015) · Psychological Medicine · doi:10.1017/s0033291714000129 · Cited by 3,152 · see citing works
The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013
Steel, Z., Marnane, C., Iranpour, C., Chey, T., Jackson, J. W., Patel, V., & Silove, D. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu038 · Cited by 2,846 · see citing works
Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730 · see citing works
A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis
Pantelopoulos, A., & Bourbakis, N. G. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2009.2032660 · Cited by 2,296 · see citing works
Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018) · Annals of Behavioral Medicine · doi:10.1007/s12160-016-9830-8 · Cited by 2,171 · see citing works
Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning
Yarkoni, T., & Westfall, J. (2017) · Perspectives on Psychological Science · doi:10.1177/1745691617693393 · Cited by 1,930 · see citing works
The global burden of mental disorders: An update from the WHO World Mental Health (WMH) surveys
Kessler, R. C., Aguilar-Gaxiola, S., Alonso, J., Chatterji, S., Lee, S., Ormel, J., Üstün, T. B., & Wang, P. S. (2009) · Epidemiologia e Psichiatria Sociale · doi:10.1017/s1121189x00001421 · Cited by 1,895 · see citing works
The Great Psychotherapy Debate: The Evidence for What Makes Psychotherapy Work
Wampold, B. E. (2015) · doi:10.4324/9780203582015 · Cited by 1,773 · see citing works
Global burden of depressive disorders in the year 2000
Üstün, T. B., Ayuso-Mateos, J. L., Chatterji, S., Mathers, C., & Murray, C. J. L. (2004) · British Journal of Psychiatry · doi:10.1192/bjp.184.5.386 · Cited by 1,735 · see citing works
The Book of Why: The New Science of Cause and Effect
Goldberg, L. R. (2019) · Notices of the American Mathematical Society · doi:10.1090/noti1912 · Cited by 1,654 · see citing works
Introduction to Machine Learning
Yu, F. R., & He, Y. (2019) · Springer briefs in electrical and computer engineering · doi:10.1007/978-3-030-10546-4_1 · Cited by 1,619 · see citing works
Mental disorders among college students in the World Health Organization World Mental Health Surveys
Auerbach, R. P., Alonso, J., Axinn, W. G., Cuijpers, P., Ebert, D. D., Green, J. G., Hwang, I., Kessler, R. C., Liu, H., Mortier, P., et al. (2016) · Psychological Medicine · doi:10.1017/s0033291716001665 · Cited by 1,587 · see citing works
Self-citation
The economic cost of brain disorders in Europe
Olesen, J., Gustavsson, A., Svensson, M., Wittchen, H., & Jönsson, B. (2012) · European Journal of Neurology · doi:10.1111/j.1468-1331.2011.03590.x · Cited by 1,560 · see citing works
Computer-based psychological treatments for depression: A systematic review and meta-analysis
Richards, D., & Richardson, T. (2012) · Clinical Psychology Review · doi:10.1016/j.cpr.2012.02.004 · Cited by 1,442 · see citing works
Cognitive-Behavioral Therapy for Adult Anxiety Disorders: A Meta-Analysis of Randomized Placebo-Controlled Trials
Hoffman, S. G., & Smits, J. A. J. (2008) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v69n0415 · Cited by 1,420 · see citing works
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Gianfrancesco, M. A., Tamang, S., Yazdany, J., & Schmajuk, G. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.3763 · Cited by 1,395 · see citing works
Social consequences of psychiatric disorders, I: Educational attainment
(1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.7.1026 · Cited by 1,370 · see citing works
Computer Therapy for the Anxiety and Depressive Disorders Is Effective, Acceptable and Practical Health Care: A Meta-Analysis
Andrews, G., Cuijpers, P., Craske, M. G., McEvoy, P., & Titov, N. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013196 · Cited by 1,311 · see citing works
Barriers to mental health treatment: results from the WHO World Mental Health surveys
Andrade, L. H., Alonso, J., Mneimneh, Z., Wells, J. E., Al-Hamzawi, A., Borges, G., Bromet, E., Bruffaerts, R., de Girolamo, G., de Graaf, R., et al. (2014) · Psychological Medicine · doi:10.1017/s0033291713001943 · Cited by 1,289 · see citing works
Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: an updated systematic review and meta-analysis
Carlbring, P., Andersson, G., Cuijpers, P., Riper, H., & Hedman-Lagerlöf, E. (2018) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2017.1401115 · Cited by 1,232 · see citing works
Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations
Chen, J. H., & Asch, S. M. (2017) · New England Journal of Medicine · doi:10.1056/nejmp1702071 · Cited by 1,171 · see citing works
Mental disorders, comorbidity and suicidal behavior: Results from the National Comorbidity Survey Replication
Nock, M. K., Hwang, I., Sampson, N. A., & Kessler, R. C. (2010) · Molecular Psychiatry · doi:10.1038/mp.2009.29 · Cited by 1,125 · see citing works
Mental Health, Educational, and Social Role Outcomes of Adolescents With Depression
Fergusson, D. M., & Woodward, L. J. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.3.225 · Cited by 1,112 · see citing works
Supportive accountability: a model for providing human support to enhance adherence to eHealth interventions
Mohr, D. C., Cuijpers, P., & Lehman, K. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1602 · Cited by 1,097 · see citing works
Guided Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: a systematic review and meta-analysis
Andersson, G., Cuijpers, P., Carlbring, P., Riper, H., & Hedman, E. (2014) · World Psychiatry · doi:10.1002/wps.20151 · Cited by 1,077 · see citing works
Mental disorders as networks of problems: a review of recent insights
Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A., & Borsboom, D. (2016) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-016-1319-z · Cited by 1,067 · see citing works
Psychotherapy for depression in adults: A meta-analysis of comparative outcome studies.
Cuijpers, P., van Straten, A., Andersson, G., & van Oppen, P. (2008) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0013075 · Cited by 1,050 · see citing works
The impact of guidance on Internet-based mental health interventions — A systematic review
Baumeister, H., Reichler, L., Munzinger, M., & Lin, J. (2014) · Internet Interventions · doi:10.1016/j.invent.2014.08.003 · Cited by 1,037 · see citing works
Self-citation
A meta-analytic review of prolonged exposure for posttraumatic stress disorder
Powers, M. B., Halpern, J. M., Ferenschak, M. P., Gillihan, S. J., & Foa, E. B. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.04.007 · Cited by 1,005 · see citing works
The Book of Why: The New Science of Cause and Effect
Pearl, J., & Mackenzie, D. N. (2018) · Cited by 1,001 · see citing works
Mental Illness Stigma, Help Seeking, and Public Health Programs
Henderson, C., Evans-Lacko, S., & Thornicroft, G. (2013) · American Journal of Public Health · doi:10.2105/ajph.2012.301056 · Cited by 959 · see citing works
Opportunities and challenges in developing risk prediction models with electronic health records data: A systematic review
Goldstein, B. A., Navar, A. M., Pencina, M. J., & Ioannidis, J. P. A. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw042 · Cited by 936 · see citing works
Mental Health and Academic Success in College
Eisenberg, D., Golberstein, E., & Hunt, J. B. (2009) · The B.E. Journal of Economic Analysis & Policy · doi:10.2202/1935-1682.2191 · Cited by 929 · see citing works
Cross-National Analysis of the Associations among Mental Disorders and Suicidal Behavior: Findings from the WHO World Mental Health Surveys
Nock, M. K., Hwang, I., Sampson, N., Kessler, R. C., Angermeyer, M., Beautrais, A., Borges, G., Bromet, E., Bruffaerts, R., de Girolamo, G., et al. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000123 · Cited by 912 · see citing works
Psychological treatments for chronic post-traumatic stress disorder: Systematic review and meta-analysis
Bisson, J. I., Ehlers, A., Matthews, R., Pilling, S., Richards, D., & Turner, S. (2007) · British Journal of Psychiatry · doi:10.1192/bjp.bp.106.021402 · Cited by 900 · see citing works
Major depressive disorder: new clinical, neurobiological, and treatment perspectives
Kupfer, D. J., Frank, E., & Phillips, M. L. (2012) · The Lancet · doi:10.1016/s0140-6736(11)60602-8 · Cited by 894 · see citing works
Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
Mohr, D. C., Zhang, M., & Schueller, S. M. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-044949 · Cited by 802 · see citing works
The prevalence and correlates of untreated serious mental illness.
(2001) · PubMed Central · Cited by 780 · see citing works
Excess mortality in depression: a meta-analysis of community studies
Cuijpers, P. J., & Smit, F. (2002) · Journal of Affective Disorders · doi:10.1016/s0165-0327(01)00413-x · Cited by 774 · see citing works
Critical slowing down as early warning for the onset and termination of depression
van de Leemput, I. A., Wichers, M., Cramer, A. O. J., Borsboom, D., Tuerlinckx, F., Kuppens, P., van Nes, E. H., Viechtbauer, W., Giltay, E. J., Aggen, S. H., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1312114110 · Cited by 773 · see citing works
New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research
Torous, J., Kiang, M. V., Lorme, J., & Onnela, J.-P. (2016) · JMIR Mental Health · doi:10.2196/mental.5165 · Cited by 758 · see citing works
Quantifying Mental Health Signals in Twitter
Coppersmith, G., Dredze, M., & Harman, C. (2014) · Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality · doi:10.3115/v1/w14-3207 · Cited by 722 · see citing works
Efficacy of internet-delivered cognitive-behavioral therapy for insomnia— a systematic review and meta-analysis of randomized controlled trials
Zachariae, R., Lyby, M. S., Ritterband, L. M., & O'Toole, M. S. (2016) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2015.10.004 · Cited by 704 · see citing works
A Smartphone Application to Support Recovery From Alcoholism: A Randomized Clinical Trial
Gustafson, D. H., McTavish, F. M., Chih, M.-Y., Atwood, A. K., Johnson, R. A., Boyle, M. G., Levy, M. S., Driscoll, H., Chisholm, S. M., Dillenburg, L., et al. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.4642 · Cited by 692 · see citing works
Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms: A Meta-analysis of Individual Participant Data
Karyotaki, E., Riper, H., Twisk, J., Hoogendoorn, A., Kleiboer, A., Mira, A., Mackinnon, A., Meyer, B., Botella, C., Littlewood, E., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.0044 · Cited by 691 · see citing works
Psychological and pharmacological interventions for social anxiety disorder in adults: a systematic review and network meta-analysis
Mayo-Wilson, E., Dias, S., Mavranezouli, I., Kew, K., Clark, D. M., Ades, A. E., & Pilling, S. (2014) · The Lancet Psychiatry · doi:10.1016/s2215-0366(14)70329-3 · Cited by 680 · see citing works
Cross-trial prediction of treatment outcome in depression: a machine learning approach
Chekroud, A. M., Zotti, R. J., Shehzad, Z., Gueorguieva, R., Johnson, M. K., Trivedi, M. H., Cannon, T. D., Krystal, J. H., & Corlett, P. R. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00471-x · Cited by 676 · see citing works
Efficacy of Psychotherapies for Borderline Personality Disorder: A Systematic Review and Meta-analysis
Cristea, I. A., Gentili, C., Cotet, C. D., Palomba, D., Barbui, C., & Cuijpers, P. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.4287 · Cited by 655 · see citing works
Untitled work
(2005) · PubMed · Cited by 649 · see citing works
Harnessing context sensing to develop a mobile intervention for depression
Burns, M. N., Begale, M., Duffecy, J., Gergle, D., Karr, C. J., Giangrande, E., & Mohr, D. C. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1838 · Cited by 646 · see citing works
Response rates for CBT for anxiety disorders: need for standardized criteria
Loerinc, A. G., Meuret, A. E., Twohig, M. P., Rosenfield, D., Bluett, E. J., & Craske, M. G. (2015) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.08.004 · Cited by 592 · see citing works
Videoconferencing psychotherapy: a systematic review
Backhaus, A., Agha, Z., Maglione, M. L., Repp, A., Ross, B., Zuest, D., Rice-Thorp, N. M., Lohr, J., & Thorp, S. R. (2012) · Psychological Services · doi:10.1037/a0027924 · Cited by 586 · see citing works
External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
Riley, R. D., Ensor, J., Snell, K. I. E., Debray, T. P. A., Altman, D. G., Moons, K. G. M., & Collins, G. S. (2016) · BMJ · doi:10.1136/bmj.i3140 · Cited by 585 · see citing works
How effective are cognitive behavior therapies for major depression and anxiety disorders? A meta-analytic update of the evidence
Cuijpers, P., Cristea, I. A., Karyotaki, E., Reijnders, M., & Huibers, M. J. H. (2016) · World Psychiatry · doi:10.1002/wps.20346 · Cited by 572 · see citing works
Building health behavior models to guide the development of just-in-time adaptive interventions: a pragmatic framework
Nahum-Shani, I., Hekler, E. B., & Spruijt-Metz, D. (2015) · Health Psychology · doi:10.1037/hea0000306 · Cited by 568 · see citing works
Untitled work
(2014) · doi:10.5555/2615731.2617415 · Cited by 553 · see citing works
The effectiveness of psychodynamic therapy and cognitive behavior therapy in the treatment of personality disorders: a meta-analysis.
Leichsenring, F., & Leibing, E. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.7.1223 · Cited by 546 · see citing works
Cost of depression in Europe.
Sobocki, P., Jönsson, B., Angst, J., & Rehnberg, C. (2006) · PubMed · Cited by 533 · see citing works
Internet and Computer-Based Cognitive Behavioral Therapy for Anxiety and Depression in Youth: A Meta-Analysis of Randomized Controlled Outcome Trials
Ebert, D. D., Zarski, A.-C., Christensen, H., Stikkelbroek, Y., Cuijpers, P., Berking, M., & Riper, H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0119895 · Cited by 533 · see citing works
Self-citation
Blending Face-to-Face and Internet-Based Interventions for the Treatment of Mental Disorders in Adults: Systematic Review
Erbe, D., Eichert, H.-C., Riper, H., & Ebert, D. D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6588 · Cited by 532 · see citing works
Self-citation
Psychological treatment of generalized anxiety disorder: A meta-analysis
Cuijpers, P., Sijbrandij, M., Koole, S., Huibers, M., Berking, M., & Andersson, G. (2014) · Clinical Psychology Review · doi:10.1016/j.cpr.2014.01.002 · Cited by 527 · see citing works
Instagram photos reveal predictive markers of depression
Reece, A. G., & Danforth, C. M. (2017) · EPJ Data Science · doi:10.1140/epjds/s13688-017-0110-z · Cited by 519 · see citing works
StressSense
Lu, H., Frauendorfer, D., Rabbi, M., Mast, M. S., Chittaranjan, G. T., Campbell, A. T., Gática-Pérez, D., & Choudhury, T. (2012) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2370216.2370270 · Cited by 511 · see citing works
Internet-based psychological treatments for depression
Johansson, R., & Andersson, G. (2012) · Expert Review of Neurotherapeutics · doi:10.1586/ern.12.63 · Cited by 509 · see citing works
Affective instability: measuring a core feature of borderline personality disorder with ecological momentary assessment.
Trull, T. J., Solhan, M. B., Tragesser, S. L., Jahng, S., Wood, P. K., Piasecki, T. M., & Watson, D. (2008) · Journal of Abnormal Psychology · doi:10.1037/a0012532 · Cited by 503 · see citing works
Working Alliance in Online Therapy as Compared to Face-to-Face Therapy: Preliminary Results
Cook, J. E., & Doyle, C. (2002) · CyberPsychology & Behavior · doi:10.1089/109493102753770480 · Cited by 503 · see citing works
Social media as a measurement tool of depression in populations
De Choudhury, M., Counts, S., & Horvitz, E. (2013) · Proceedings of the 5th Annual ACM Web Science Conference · doi:10.1145/2464464.2464480 · Cited by 497 · see citing works
Virtual reality in the treatment of spider phobia: a controlled study
Garcia-Palacios, A., Hoffman, H., Carlin, A., Furness, T. A., & Botella, C. (2002) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(01)00068-7 · Cited by 490 · see citing works
The impact of digital technology on psychological treatments and their dissemination
Fairburn, C. G., & Patel, V. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.08.012 · Cited by 448 · see citing works
Detecting suicidality on Twitter
O’Dea, B., Wan, S., Batterham, P. J., Calear, A. L., Paris, C. L., & Christensen, H. M. (2015) · Internet Interventions · doi:10.1016/j.invent.2015.03.005 · Cited by 439 · see citing works
Neuropsychosocial profiles of current and future adolescent alcohol misusers
Whelan, R., Watts, R., Orr, C., Althoff, R., Artiges, E., Banaschewski, T., Barker, G., Bokde, A., Büchel, C., Carvalho, F. M., et al. (2014) · Nature · doi:10.1038/nature13402 · Cited by 438 · see citing works
Internet- and Mobile-Based Psychological Interventions: Applications, Efficacy, and Potential for Improving Mental Health: A Report of the EFPA E-Health Taskforce
Ebert, D. D., Van Daele, T., Nordgreen, T., Karekla, M., Compare, A., Zarbo, C., Brugnera, A., Øverland, S., Trebbi, G., Jensen, K. L., et al. (2018) · European Psychologist · doi:10.1027/1016-9040/a000318 · Cited by 437 · see citing works
Self-citation
Relapse prediction in schizophrenia through digital phenotyping: a pilot study
Barnett, I., Torous, J. B., Staples, P. C., Sandoval, L. R., Keshavan, M. S., & Onnela, J.-P. “. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0030-z · Cited by 435 · see citing works
Embodied conversational agents in clinical psychology: a scoping review
Provoost, S., Lau, H. M., Ruwaard, J., & Riper, H. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6553 · Cited by 433 · see citing works
Preventing the onset of major depressive disorder: A meta-analytic review of psychological interventions
van Zoonen, K., Buntrock, C., Ebert, D. D., Smit, F., Reynolds, C. F., Beekman, A. T., & Cuijpers, P. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyt175 · Cited by 425 · see citing works
Self-citation
E-Mental Health: A Rapid Review of the Literature
Lal, S., & Adair, C. E. (2014) · Psychiatric Services · doi:10.1176/appi.ps.201300009 · Cited by 417 · see citing works
The Benefit of Web- and Computer-Based Interventions for Stress: A Systematic Review and Meta-Analysis
Heber, E., Ebert, D. D., Lehr, D., Cuijpers, P., Berking, M., Nobis, S., & Riper, H. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.5774 · Cited by 408 · see citing works
Self-citation
A Systematic Review of Web-Based Interventions for Patient Empowerment and Physical Activity in Chronic Diseases: Relevance for Cancer Survivors
Kuijpers, W., Groen, W. G., Aaronson, N. K., & van Harten, W. H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2281 · Cited by 391 · see citing works
Efficacy of cognitive–behavioural therapy and other psychological treatments for adult depression: meta-analytic study of publication bias
Cuijpers, P., Smit, F., Bohlmeijer, E., Hollon, S. D., & Andersson, G. (2010) · British Journal of Psychiatry · doi:10.1192/bjp.bp.109.066001 · Cited by 391 · see citing works
Big data meets public health
Khoury, M. J., & Ioannidis, J. P. A. (2014) · Science · doi:10.1126/science.aaa2709 · Cited by 390 · see citing works
Automated psychological therapy using immersive virtual reality for treatment of fear of heights: A single-blind, parallel-group, randomised controlled trial
Freeman, D., Haselton, P., Freeman, J., Spanlang, B., Kishore, S., Albery, E., Denne, M., Brown, P., Slater, M., & Nickless, A. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30226-8 · Cited by 377 · see citing works
Internet-Based Cognitive-Behavioral Therapy for Complicated Grief: A Randomized Controlled Trial
Wagner, B., Knaevelsrud, C., & Maercker, A. (2006) · Death Studies · doi:10.1080/07481180600614385 · Cited by 376 · see citing works
Impact of psychiatric disorders on health-related quality of life: general population survey
Saarni, S. I., Suvisaari, J., Sintonen, H., Pirkola, S. P., Koskinen, S. V. P., Aromaa, A., & Lönnqvist, J. K. (2007) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.106.025106 · Cited by 371 · see citing works
Effectiveness of Web-based Interventions on Patient Empowerment: A Systematic Review and Meta-analysis
Samoocha, D., Bruinvels, D. J., Elbers, N. A., Anema, J. R., & van der Beek, A. J. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1286 · Cited by 369 · see citing works
A complex network perspective on clinical science
Hofmann, S. G., Curtiss, J., & McNally, R. J. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616639283 · Cited by 366 · see citing works
Three Problems With Current Digital Mental Health Research . . . and Three Things We Can Do About Them
Mohr, D. C., Weingardt, K. R., Reddy, M., & Schueller, S. M. (2017) · Psychiatric Services · doi:10.1176/appi.ps.201600541 · Cited by 365 · see citing works
Undefined By Data: A Survey of Big Data DefinitionsPreprint
Ward, J. S., & Barker, A. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1309.5821 · Cited by 356 · see citing works
ICBT in routine care: A descriptive analysis of successful clinics in five countries
Titov, N., Dear, B., Nielssen, O., Staples, L., Hadjistavropoulos, H., Nugent, M., Adlam, K., Nordgreen, T., Bruvik, K. H., Hovland, A., et al. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.07.006 · Cited by 353 · see citing works
Recognizing Depression from Twitter Activity
Tsugawa, S., Kikuchi, Y., Kishino, F., Nakajima, K., Itoh, Y., & Ohsaki, H. (2015) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702280 · Cited by 349 · see citing works
Efficacy of psychological interventions for sexual dysfunction: A systematic review and meta-analysis
Frühauf, S., Gerger, H., Schmidt, H. M., Munder, T., & Barth, J. (2013) · Archives of Sexual Behavior · doi:10.1007/s10508-012-0062-0 · Cited by 345 · see citing works
Psychological treatments for fibromyalgia: A meta-analysis
Glombiewski, J. A., Sawyer, A. T., Gutermann, J., Koenig, K., Rief, W., & Hofmann, S. G. (2010) · Pain · doi:10.1016/j.pain.2010.06.011 · Cited by 341 · see citing works
Internet- and mobile-based depression interventions for people with diagnosed depression: A systematic review and meta-analysis
Josephine, K., Josefine, L., Philipp, D., David, E., & Harald, B. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.07.021 · Cited by 341 · see citing works
Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study
Sano, A., Taylor, S., McHill, A. W., Phillips, A. J., Barger, L. K., Klerman, E., & Picard, R. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9410 · Cited by 333 · see citing works
Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild
Wahle, F., Kowatsch, T., Fleisch, E., Rufer, M., & Weidt, S. (2016) · JMIR mHealth and uHealth · doi:10.2196/mhealth.5960 · Cited by 333 · see citing works
The Prevalence Of Treated And Untreated Mental Disorders In Five Countries
Bijl, R. V., de Graaf, R., Hiripi, E., Kessler, R. C., Kohn, R., Offord, D. R., Üstün, T. B., Vicente, B., Vollebergh, W., Walters, E. E., et al. (2003) · Health Affairs · doi:10.1377/hlthaff.22.3.122 · Cited by 322 · see citing works
Measuring post traumatic stress disorder in Twitter
Coppersmith, G., Harman, C., & Dredze, M. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14574 · Cited by 316 · see citing works
Economic evaluations of Internet interventions for mental health: a systematic review
Donker, T., Blankers, M., Hedman, E., Ljótsson, B., Petrie, K., & Christensen, H. (2015) · Psychological Medicine · doi:10.1017/s0033291715001427 · Cited by 316 · see citing works
Randomized Controlled Trial of Internet-Based Cognitive Behavior Therapy for Distress Associated With Tinnitus
Andersson, G. (2002) · Psychosomatic Medicine · doi:10.1097/01.psy.0000031577.42041.f8 · Cited by 312 · see citing works
Development and usability testing of FOCUS: A smartphone system for self-management of schizophrenia.
Ben‐Zeev, D., Kaiser, S. M., Brenner, C. J., Begale, M. J., Duffecy, J. L., & Mohr, D. C. (2013) · Psychiatric Rehabilitation Journal · doi:10.1037/prj0000019 · Cited by 306 · see citing works
Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering Approach
Chekroud, A. M., Gueorguieva, R., Krumholz, H. M., Trivedi, M. H., Krystal, J. H., & McCarthy, G. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.0025 · Cited by 276 · see citing works
Internet-based cognitive behaviour therapy for obsessive–compulsive disorder: a randomized controlled trial
Andersson, E., Enander, J., Andrén, P., Hedman, E., Ljótsson, B., Hursti, T., Bergström, J., Kaldo, V., Lindefors, N., Andersson, G., et al. (2012) · Psychological Medicine · doi:10.1017/s0033291712000244 · Cited by 274 · see citing works
Ready for eHealth? Health professionals' acceptance and adoption of eHealth interventions in inpatient routine care
Hennemann, S., Beutel, M. E., & Zwerenz, R. (2017) · Journal of Health Communication · doi:10.1080/10810730.2017.1284286 · Cited by 274 · see citing works
Researching Mental Health Disorders in the Era of Social Media: Systematic Review
Wongkoblap, A., Vadillo, M. A., & Ćurčin, V. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7215 · Cited by 269 · see citing works
Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial
Ebert, D. D., Berking, M., Cuijpers, P., Lehr, D., Pörtner, M., & Baumeister, H. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.01.056 · Cited by 268 · see citing works
Self-citation
Incentivising safe sex: a randomised trial of conditional cash transfers for HIV and sexually transmitted infection prevention in rural Tanzania
de Walque, D., Dow, W. H., Nathan, R., Abdul, R., Abilahi, F., Gong, E., Isdahl, Z., Jamison, J., Jullu, B. S., Krishnan, S., et al. (2012) · BMJ Open · doi:10.1136/bmjopen-2011-000747 · Cited by 268 · see citing works
Effectiveness of Guided and Unguided Low-Intensity Internet Interventions for Adult Alcohol Misuse: A Meta-Analysis
Riper, H., Blankers, M., Hadiwijaya, H., Cunningham, J., Clarke, S., Wiers, R., Ebert, D., & Cuijpers, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099912 · Cited by 265 · see citing works
Self-citation
Internet-based interventions for posttraumatic stress: A meta-analysis of randomized controlled trials
Kuester, A., Niemeyer, H., & Knaevelsrud, C. (2016) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.11.004 · Cited by 261 · see citing works
A randomized controlled trial of internet-delivered cognitive behavior therapy and acceptance and commitment therapy in the treatment of tinnitus
Hesser, H., Gustafsson, T., Lundén, C., Henrikson, O., Fattahi, K., Johnsson, E., Westin, V. Z., Carlbring, P., Mäki-Torkko, E., Kaldo, V., et al. (2012) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0027021 · Cited by 257 · see citing works
Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy (MOST)
Collins, L. M. (2018) · Statistics for Social and Behavioral Sciences · doi:10.1007/978-3-319-72206-1 · Cited by 257 · see citing works
A pragmatic randomized controlled trial of computerized CBT (SPARX) for symptoms of depression among adolescents excluded from mainstream education
Fleming, T., Dixon, R., Frampton, C., & Merry, S. (2012) · Behavioural and Cognitive Psychotherapy · doi:10.1017/s1352465811000695 · Cited by 255 · see citing works
Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports
Kessler, R., van Loo, H. V., Wardenaar, K., Bossarte, R., Brenner, L., Cai, T., Ebert, D., Hwang, I., Li, J.-L., de Jonge, P., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.198 · Cited by 247 · see citing works
Self-citation
State of the Field of Mental Health Apps
Neary, M., & Schueller, S. M. (2018) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2018.01.002 · Cited by 247 · see citing works
Prevention of mental health disorders using internet and mobile-based interventions: a narrative review and recommendations for future research.
Ebert, D. D., Cuijpers, P., Muñoz, R. F., & Baumeister, H. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00116 · Cited by 244 · see citing works
Self-citation
Sleep Quality Prediction From Wearable Data Using Deep Learning
Sathyanarayana, A., Joty, S., Fernández-Luque, L., Ofli, F., Srivastava, J., Elmagarmid, A. K., Arora, T., & Taheri, S. (2016) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6562 · Cited by 242 · see citing works
Preliminary investigation of web-camera delivered cognitive-behavioral therapy for youth with obsessive-compulsive disorder
Storch, E. A., Caporino, N. E., Morgan, J. R., Lewin, A. B., Rojas, A., Brauer, L., Larson, M. J., & Murphy, T. K. (2011) · Psychiatry Research · doi:10.1016/j.psychres.2011.05.047 · Cited by 240 · see citing works
Virtual-reality-based cognitive behavioural therapy versus waiting list control for paranoid ideation and social avoidance in patients with psychotic disorders: a single-blind randomised controlled trial.
Pot-Kolder, R. M. C. A., Geraets, C. N. W., Veling, W., van Beilen, M., Staring, A. B. P., Gijsman, H. J., Delespaul, P. A. E. G., & van der Gaag, M. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30053-1 · Cited by 239 · see citing works
What Makes Internet Therapy Work?
Andersson, G., Carlbring, P., Berger, T., Almlöv, J., & Cuijpers, P. (2009) · Cognitive Behaviour Therapy · doi:10.1080/16506070902916400 · Cited by 234 · see citing works
Effect of a Web-Based Guided Self-help Intervention for Prevention of Major Depression in Adults With Subthreshold Depression: A Randomized Clinical Trial
Buntrock, C., Ebert, D. D., Lehr, D., Smit, F., Riper, H., Berking, M., & Cuijpers, P. (2016) · JAMA · doi:10.1001/jama.2016.4326 · Cited by 232 · see citing works
Anxiety: There is an app for that. A systematic review of anxiety apps: SUCALA et al.
Sucala, M., Cuijpers, P., Muench, F., Cardoș, R., Soflau, R., Dobrean, A., Achimas-Cadariu, P., & David, D. (2017) · Depression and Anxiety · doi:10.1002/da.22654 · Cited by 232 · see citing works
Saving clinicians' time by delegating routine aspects of therapy to a computer: a randomized controlled trial in phobia/panic disorder
MARKS, I. M., KENWRIGHT, M., McDONOUGH, M., WHITTAKER, M., & MATAIX-COLS, D. (2004) · Psychological Medicine · doi:10.1017/s003329170300878x · Cited by 226 · see citing works
Effectiveness of Internet-based cognitive behaviour therapy for depression in routine psychiatric care
Hedman, E., Ljótsson, B., Kaldo, V., Hesser, H., El Alaoui, S., Kraepelien, M., Andersson, E., Rück, C., Svanborg, C., Andersson, G., et al. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.10.023 · Cited by 224 · see citing works
Internet interventions for chronic pain including headache: a systematic review
Buhrman, M., Gordh, T., & Andersson, G. (2016) · Internet Interventions · doi:10.1016/j.invent.2015.12.001 · Cited by 223 · see citing works
Internet- and mobile-based interventions for anxiety disorders: A meta-analytic review of intervention components
Domhardt, M., Geßlein, H., von Rezori, R. E., & Baumeister, H. (2019) · Depression and Anxiety · doi:10.1002/da.22860 · Cited by 218 · see citing works
Self-citation
A brief mobile app reduces nonsuicidal and suicidal self-injury: Evidence from three randomized controlled trials.
Franklin, J. C., Fox, K. R., Franklin, C. R., Kleiman, E. M., Ribeiro, J. D., Jaroszewski, A. C., Hooley, J. M., & Nock, M. K. (2016) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000093 · Cited by 217 · see citing works
Effectiveness of an Internet- and App-Based Intervention for College Students With Elevated Stress: Randomized Controlled Trial
Harrer, M., Adam, S. H., Fleischmann, R. J., Baumeister, H., Auerbach, R., Bruffaerts, R., Cuijpers, P., Kessler, R. C., Berking, M., Lehr, D., et al. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9293 · Cited by 216 · see citing works
Self-citation
Web-Based and Mobile Stress Management Intervention for Employees: A Randomized Controlled Trial
Heber, E., Lehr, D., Ebert, D. D., Berking, M., & Riper, H. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5112 · Cited by 213 · see citing works
Self-citation
Efficacy of short-term psychotherapy for multiple medically unexplained physical symptoms: a meta-analysis
Kleinstäuber, M., Witthöft, M., & Hiller, W. (2011) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.09.001 · Cited by 212 · see citing works
Web-Based Depression Treatment for Type 1 and Type 2 Diabetic Patients
van Bastelaar, K. M. P., Pouwer, F., Cuijpers, P., Riper, H., & Snoek, F. J. (2011) · Diabetes Care · doi:10.2337/dc10-1248 · Cited by 209 · see citing works
Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration
Kessler, R. C., Hwang, I., Hoffmire, C. A., McCarthy, J. F., Petukhova, M. V., Rosellini, A. J., Sampson, N. A., Schneider, A. L., Bradley, P. A., Katz, I. R., et al. (2017) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1575 · Cited by 209 · see citing works
An Introduction to Artificial Intelligence in Behavioral and Mental Health Care
Luxton, D. D. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-420248-1.00001-5 · Cited by 208 · see citing works
Effectiveness of internet-based cognitive behavioural treatment for adolescents with chronic fatigue syndrome (FITNET): a randomised controlled trial
Nijhof, S. L., Bleijenberg, G., Uiterwaal, C. S., Kimpen, J. L., & van de Putte, E. M. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60025-7 · Cited by 208 · see citing works
Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps
Torous, J., Larsen, M. E., Depp, C., Cosco, T. D., Barnett, I., Nock, M. K., & Firth, J. (2018) · Current Psychiatry Reports · doi:10.1007/s11920-018-0914-y · Cited by 207 · see citing works
Computerised cognitive-behavioural therapy for depression: systematic review
Kaltenthaler, E., Parry, G., Beverley, C., & Ferriter, M. (2008) · British Journal of Psychiatry · doi:10.1192/bjp.bp.106.025981 · Cited by 206 · see citing works
An Artificially Intelligent Chat Agent That Answers Adolescents' Questions Related to Sex, Drugs, and Alcohol: An Exploratory Study
Crutzen, R., Peters, G.-J. Y., Portugal, S. D., Fisser, E. M., & Grolleman, J. J. (2011) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2010.09.002 · Cited by 205 · see citing works
Therapeutic alliance in guided internet-delivered cognitive behavioural treatment of depression, generalized anxiety disorder and social anxiety disorder
Andersson, G., Paxling, B., Wiwe, M., Vernmark, K., Felix, C. B., Lundborg, L., Furmark, T., Cuijpers, P., & Carlbring, P. (2012) · Behaviour Research and Therapy · doi:10.1016/j.brat.2012.05.003 · Cited by 202 · see citing works
The application of mHealth to mental health: opportunities and challenges
Marzano, L., Bardill, A., Fields, B., Herd, K., Veale, D., Grey, N., & Moran, P. (2015) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00268-0 · Cited by 200 · see citing works
Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems
Rovatsos, M. (2014) · Adaptive Agents and Multi-Agents Systems · Cited by 200 · see citing works
Mobile Technology Boosts the Effectiveness of Psychotherapy and Behavioral Interventions: A Meta-Analysis
Lindhiem, O., Bennett, C. B., Rosen, D., & Silk, J. (2015) · Behavior Modification · doi:10.1177/0145445515595198 · Cited by 197 · see citing works
Machine learning approach for early detection of autism by combining questionnaire and home video screening
Abbas, H., Garberson, F., Glover, E., & Wall, D. P. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy039 · Cited by 197 · see citing works
A randomized trial of internet-based versus traditional sexual counseling for couples after localized prostate cancer treatment
Schover, L. R., Canada, A. L., Yuan, Y., Sui, D., Neese, L., Jenkins, R., & Rhodes, M. M. (2012) · Cancer · doi:10.1002/cncr.26308 · Cited by 193 · see citing works
Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality
Braithwaite, S., Giraud-Carrier, C. G., West, J. H., Barnes, M. D., & Hanson, C. L. (2016) · JMIR Mental Health · doi:10.2196/mental.4822 · Cited by 193 · see citing works
Quantifying and Predicting Mental Illness Severity in Online Pro-Eating Disorder Communities
Chancellor, S., Lin, Z. J., Goodman, E. L., Zerwas, S. C., & Choudhury, M. D. (2016) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2818048.2819973 · Cited by 191 · see citing works
Negative effects of internet interventions: a qualitative content analysis of patients' experiences with treatments delivered online
Rozental, A., Boettcher, J., Andersson, G., Schmidt, B., & Carlbring, P. (2015) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2015.1008033 · Cited by 189 · see citing works
Dynamic Models of Behavior for Just-in-Time Adaptive Interventions
Spruijt‐Metz, D., & Nilsen, W. (2014) · IEEE Pervasive Computing · doi:10.1109/mprv.2014.46 · Cited by 188 · see citing works
Randomized trial of internet-delivered self-help with telephone support for pathological gamblers.
Carlbring, P., & Smit, F. (2008) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0013603 · Cited by 187 · see citing works
Internet-Based Exposure and Behavioral Activation for Complicated Grief and Rumination: A Randomized Controlled Trial
Eisma, M. C., Boelen, P. A., van den Bout, J., Stroebe, W., Schut, H. A. W., Lancee, J., & Stroebe, M. S. (2015) · Behavior Therapy · doi:10.1016/j.beth.2015.05.007 · Cited by 185 · see citing works
Does the Quality of the Working Alliance Predict Treatment Outcome in Online Psychotherapy for Traumatized Patients?
Knaevelsrud, C., & Maercker, A. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.4.e31 · Cited by 184 · see citing works
User-level psychological stress detection from social media using deep neural network
Lin, H., Jia, J., Guo, Q., Xue, Y., Li, Q., Jie, H. J., Cai, L., & Feng, L. (2014) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2647868.2654945 · Cited by 183 · see citing works
The first 30 months of the MindSpot Clinic: Evaluation of a national e-mental health service against project objectives
Titov, N., Dear, B. F., Staples, L. G., Bennett-Levy, J., Klein, B., Rapee, R. M., Andersson, G., Purtell, C., Bezuidenhout, G., & Nielssen, O. B. (2017) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867416671598 · Cited by 183 · see citing works
MindSpot Clinic: An Accessible, Efficient, and Effective Online Treatment Service for Anxiety and Depression
Titov, N., Dear, B. F., Staples, L. G., Bennett-Levy, J., Klein, B., Rapee, R. M., Shann, C., Richards, D., Andersson, G., Ritterband, L., et al. (2015) · Psychiatric Services · doi:10.1176/appi.ps.201400477 · Cited by 181 · see citing works
Internet-Based Psychodynamic versus Cognitive Behavioral Guided Self-Help for Generalized Anxiety Disorder: A Randomized Controlled Trial
Andersson, G., Paxling, B., Roch-Norlund, P., Östman, G., Norgren, A., Almlöv, J., Georén, L., Breitholtz, E., Dahlin, M., Cuijpers, P. J., et al. (2012) · Psychotherapy and Psychosomatics · doi:10.1159/000339371 · Cited by 181 · see citing works
A Clinical Risk Stratification Tool for Predicting Treatment Resistance in Major Depressive Disorder
Perlis, R. H. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.12.007 · Cited by 176 · see citing works
Self-guided internet-based and mobile-based stress management for employees: results of a randomised controlled trial
Ebert, D. D., Heber, E., Berking, M., Riper, H., Cuijpers, P., Funk, B., & Lehr, D. (2016) · Occupational and Environmental Medicine · doi:10.1136/oemed-2015-103269 · Cited by 176 · see citing works
Self-citation
Efficacy of a web-based intervention with mobile phone support in treating depressive symptoms in adults with type 1 and type 2 diabetes: a randomized controlled trial
Nobis, S., Lehr, D., Ebert, D. D., Baumeister, H., Snoek, F., Riper, H., & Berking, M. (2015) · Diabetes Care · doi:10.2337/dc14-1728 · Cited by 175 · see citing works
Self-citation
Log in and breathe out: internet-based recovery training for sleepless employees with work-related strain – results of a randomized controlled trial
Thiart, H., Lehr, D., Ebert, D. D., Berking, M., & Riper, H. (2015) · Scandinavian Journal of Work, Environment & Health · doi:10.5271/sjweh.3478 · Cited by 168 · see citing works
Self-citation
Cognitive-behavioral therapy for hypochondriasis/health anxiety: A meta-analysis of treatment outcome and moderators
Olatunji, B. O., Kauffman, B. Y., Meltzer, S., Davis, M. L., Smits, J. A. J., & Powers, M. B. (2014) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.05.002 · Cited by 167 · see citing works
Internet Versus Group Cognitive-Behavioral Treatment of Distress Associated With Tinnitus: A Randomized Controlled Trial
Kaldo, V., Levin, S., Widarsson, J., Buhrman, M., Larsen, H.-C., & Andersson, G. (2008) · Behavior Therapy · doi:10.1016/j.beth.2007.10.003 · Cited by 162 · see citing works
Restoring depleted resources: Efficacy and mechanisms of change of an internet-based unguided recovery training for better sleep and psychological detachment from work.
Ebert, D. D., Berking, M., Thiart, H., Riper, H., Laferton, J. A. C., Cuijpers, P., Sieland, B., & Lehr, D. (2015) · Health Psychology · doi:10.1037/hea0000277 · Cited by 161 · see citing works
Self-citation
The working alliance in a randomized controlled trial comparing online with face-to-face cognitive-behavioral therapy for depression
Preschl, B., Maercker, A., & Wagner, B. (2011) · BMC Psychiatry · doi:10.1186/1471-244x-11-189 · Cited by 158 · see citing works
Predicting long-term outcome of Internet-delivered cognitive behavior therapy for social anxiety disorder using fMRI and support vector machine learning.
Månsson, K. N. T., Frick, A., Boraxbekk, C.-J., Marquand, A. F., Williams, S. C. R., Carlbring, P., Andersson, G., & Furmark, T. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.22 · Cited by 154 · see citing works
Does Internet-based guided-self-help for depression cause harm? An individual participant data meta-analysis on deterioration rates and its moderators in randomized controlled trials
Ebert, D. D., Donkin, L., Andersson, G., Andrews, G., Berger, T., Carlbring, P., Rozenthal, A., Choi, I., Laferton, J. A. C., Johansson, R., et al. (2016) · Psychological Medicine · doi:10.1017/s0033291716001562 · Cited by 154 · see citing works
Self-citation
Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments
Tran, T., Luo, W., Phung, D., Harvey, R., Berk, M., Kennedy, R. L., & Venkatesh, S. (2014) · BMC Psychiatry · doi:10.1186/1471-244x-14-76 · Cited by 150 · see citing works
Uptake and adherence of a self-directed internet-based mental health intervention with tailored e-mail reminders in senior high schools in Norway
Lillevoll, K. R., Vangberg, H. C. B., Griffiths, K. M., Waterloo, K., & Eisemann, M. R. (2014) · BMC Psychiatry · doi:10.1186/1471-244x-14-14 · Cited by 150 · see citing works
Therapist-supported Internet cognitive behavioural therapy for anxiety disorders in adults
Olthuis, J. V., Watt, M. C., Bailey, K., Hayden, J. A., & Stewart, S. H. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011565 · Cited by 150 · see citing works
PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA
SCHWARTZ, H. A., SAP, M., KERN, M. L., EICHSTAEDT, J. C., KAPELNER, A., AGRAWAL, M., BLANCO, E., DZIURZYNSKI, L., PARK, G., STILLWELL, D., et al. (2016) · Biocomputing 2016 · doi:10.1142/9789814749411_0047 · Cited by 148 · see citing works
Online cognitive behavioral therapy and problem-solving therapy for depressive symptoms: Exploring mechanisms of change
Warmerdam, L., van Straten, A., Jongsma, J., Twisk, J. W. R., & Cuijpers, P. J. (2009) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2009.10.003 · Cited by 147 · see citing works
Reducing eating disorder symptoms and risk factors using the internet: A meta‐analytic review
Melioli, T., Bauer, S., Franko, D. L., Moessner, M., Ozer, F., Chabrol, H., & Rodgers, R. F. (2016) · International Journal of Eating Disorders · doi:10.1002/eat.22477 · Cited by 147 · see citing works
Therapist-guided, internet-delivered cognitive-behavioral therapy for adolescents with obsessive-compulsive disorder: a randomized controlled trial
Lenhard, F., Andersson, E., Mataix-Cols, D., Rück, C., Vigerland, S., Högström, J., Hillborg, M., Brander, G., Ljungström, M., Ljótsson, B., et al. (2017) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2016.09.515 · Cited by 146 · see citing works
Economic evaluations of internet- and mobile-based interventions for the treatment and prevention of depression: A systematic review
Paganini, S., Teigelkötter, W., Buntrock, C., & Baumeister, H. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.07.018 · Cited by 144 · see citing works
Self-citation
Predicting students' happiness from physiology, phone, mobility, and behavioral data
Jaques, N., Taylor, S., Azaria, A., Ghandeharioun, A., Sano, A., & Picard, R. W. (2015) · International Conference on Affective Computing and Intelligent Interaction and workshops · doi:10.1109/acii.2015.7344575 · Cited by 140 · see citing works
Control condition design and implementation features in controlled trials: a meta-analysis of trials evaluating psychotherapy for depression
Mohr, D. C., Ho, J., Hart, T. L., Baron, K. G., Berendsen, M., Beckner, V., Cai, X., Cuijpers, P., Spring, B., Kinsinger, S. W., et al. (2014) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0262-3 · Cited by 139 · see citing works
For better or worse: An individual patient data meta-analysis of deterioration among participants receiving Internet-based cognitive behavior therapy.
Rozental, A., Magnusson, K., Boettcher, J., Andersson, G., & Carlbring, P. (2017) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000158 · Cited by 137 · see citing works
European COMPARative Effectiveness research on blended Depression treatment versus treatment-as-usual (E-COMPARED): study protocol for a randomized controlled, non-inferiority trial in eight European countries
Kleiboer, A., Smit, J., Bosmans, J., Ruwaard, J., Andersson, G., Topooco, N., Berger, T., Krieger, T., Botella, C., Baños, R., et al. (2016) · Trials · doi:10.1186/s13063-016-1511-1 · Cited by 133 · see citing works
Self-citation
Massive Open Online Interventions
Muñoz, R. F., Bunge, E. L., Chen, K., Schueller, S. M., Bravin, J. I., Shaughnessy, E. A., & Pérez‐Stable, E. J. (2015) · Clinical Psychological Science · doi:10.1177/2167702615583840 · Cited by 132 · see citing works
Comparative Efficacy of Seven Psychotherapeutic Interventions for Patients with Depression: A Network Meta-Analysis
Barth, J., Münder, T., Gerger, H., Nüesch, E., Trelle, S., Znoj, H., Jüni, P., & Cuijpers, P. J. (2016) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.140201 · Cited by 131 · see citing works
Multi-class machine classification of suicide-related communication on Twitter
Burnap, P., Colombo, G. B., Amery, R., Hodorog, A., & Scourfield, J. (2017) · Online Social Networks and Media · doi:10.1016/j.osnem.2017.08.001 · Cited by 131 · see citing works
The Use of Computerized Self-Help Packages to Treat Adolescent Depression and Anxiety
Sethi, S., Campbell, A. J., & Ellis, L. A. (2010) · Journal of Technology in Human Services · doi:10.1080/15228835.2010.508317 · Cited by 129 · see citing works
Therapist guided Internet based cognitive behavioural therapy for body dysmorphic disorder: Single blind randomised controlled trial
Enander, J., Andersson, E., Mataix-Cols, D., Lichtenstein, L., Alström, K., Andersson, G., Ljótsson, B., & Rück, C. (2016) · BMJ · doi:10.1136/bmj.i241 · Cited by 129 · see citing works
Internet-based guided self-help versus group cognitive behavioral therapy for chronic tinnitus: A randomized controlled trial
Jasper, K., Weise, C., Conrad, I., Andersson, G., Hiller, W., & Kleinstäuber, M. (2014) · Psychotherapy and Psychosomatics · doi:10.1159/000360705 · Cited by 128 · see citing works
Activities on Facebook Reveal the Depressive State of Users
Park, S., Lee, S. W., Kwak, J.-A., Cha, M., & Jeong, B. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2718 · Cited by 128 · see citing works
PSYCHOSOMATIC MEDICINE
VIGNES, H. (1948) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1948.tb96933.x · Cited by 128 · see citing works
Impact of an acceptance facilitating intervention on diabetes patients' acceptance of Internet-based interventions for depression: A randomized controlled trial
Baumeister, H., Nowoczin, L., Lin, J., Seifferth, H., Seufert, J., Laubner, K., & Ebert, D. D. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.04.031 · Cited by 125 · see citing works
Self-citation
Pilot randomised controlled trial of Help4Mood, an embodied virtual agent-based system to support treatment of depression
Burton, C., Szentagotai Tatar, A., McKinstry, B., Matheson, C., Matu, S., Moldovan, R., Macnab, M., Farrow, E., David, D., Pagliari, C., et al. (2016) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x15609793 · Cited by 125 · see citing works
Impact of an Acceptance Facilitating Intervention on Patients’ Acceptance of Internet-based Pain Interventions: A Randomized Controlled Trial
Baumeister, H., Seifferth, H., Lin, J., Nowoczin, L., Lüking, M., & Ebert, D. (2015) · The Clinical Journal of Pain · doi:10.1097/ajp.0000000000000118 · Cited by 124 · see citing works
Self-citation
Public attitudes toward guided internet-based therapies: web-based survey study
Apolinário-Hagen, J., Harrer, M., Kählke, F., Fritsche, L., Salewski, C., & Ebert, D. D. (2018) · JMIR Mental Health · doi:10.2196/10735 · Cited by 123 · see citing works
Internet- and mobile-based stress management for employees with adherence-focused guidance: efficacy and mechanism of change
Ebert, D. D., Lehr, D., Heber, E., Riper, H., Cuijpers, P., & Berking, M. (2016) · Scandinavian Journal of Work, Environment & Health · doi:10.5271/sjweh.3573 · Cited by 120 · see citing works
Self-citation
The accuracy of passive phone sensors in predicting daily mood
Pratap, A., Atkins, D. C., Renn, B. N., Tanana, M. J., Mooney, S. D., Anguera, J. A., & Areán, P. A. (2019) · Depression and Anxiety · doi:10.1002/da.22822 · Cited by 119 · see citing works
Internet-supported versus face-to-face cognitive behavior therapy for depression
Andersson, G., Topooco, N., Havik, O., & Nordgreen, T. (2016) · Expert Review of Neurotherapeutics · doi:10.1586/14737175.2015.1125783 · Cited by 117 · see citing works
Behavioral response to a just-in-time adaptive intervention (JITAI) to reduce sedentary behavior in obese adults: implications for JITAI optimization
Thomas, J. G., & Bond, D. S. (2015) · Health Psychology · doi:10.1037/hea0000304 · Cited by 117 · see citing works
Analyzing big data in social media: Text and network analyses of an eating disorder forum
Moessner, M., Feldhege, J., Wolf, M., & Bauer, S. (2018) · International Journal of Eating Disorders · doi:10.1002/eat.22878 · Cited by 116 · see citing works
Predictors and Moderators of Response to Internet-Delivered Interpersonal Psychotherapy and Cognitive Behavior Therapy for Depression
Donker, T., Batterham, P. J., Warmerdam, L., Bennett, K., Bennett, A., Cuijpers, P., Griffiths, K. M., & Christensen, H. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.06.020 · Cited by 115 · see citing works
Effectiveness of Psychological and/or Educational Interventions in the Prevention of Anxiety: A Systematic Review, Meta-analysis, and Meta-regression
Moreno-Peral, P., Conejo-Cerón, S., Rubio-Valera, M., Fernández, A., Navas-Campaña, D., Rodríguez-Morejón, A., Motrico, E., Rigabert, A., Luna, J. D. D., Martín-Pérez, C., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.2509 · Cited by 115 · see citing works
Adherence to Internet-Based Mobile-Supported Stress Management: A Pooled Analysis of Individual Participant Data From Three Randomized Controlled Trials
Zarski, A.-C., Lehr, D., Berking, M., Riper, H., Cuijpers, P., & Ebert, D. D. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4493 · Cited by 114 · see citing works
Self-citation

Flagged first, then by citations

Research works printed but not linked: 10

World Health Organization. The Global Burden of Disease: 2004 update. 2008 PMID:15572474.
Buntrock C, Ebert DD, Lehr D, Smit F, Riper H, Berking M, Cuijpers P. Effect of a web-based guided self-help intervention for prevention of major depression in adults with subthreshold depression. JAMA. 2016;315(17):1854. https://doi.org/10.1001/jama.2016.4326 American Medical Association. · DOI · Paper page
Riper H, Blankers M, Hadiwijaya H, Cunningham J, Clarke S, Wiers R, Ebert DD, Cuijpers P. Effectiveness of guided and unguided low-intensity internet interventions for adult alcohol misuse: a meta-analysis. PLoS One. 2014;9(6):e99912 PMID:24937483, Stewart R, editor, Public Library of Science. · DOI · Paper page
Ebert DD, Berking M, Cuijpers P, Lehr D, Pörtner M, Baumeister H. Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial. J Affect Disord. 2015; https://doi.org/10.1016/j.jad.2015.01.056 . · DOI · Paper page
Ebert DD, Berking M, Thiart H, Riper H, Laferton JAC, Cuijpers P, Sieland B, Lehr D. Restoring depleted resources: efficacy and mechanisms of change of an internet-based unguided recovery training for better sleep and psychological detachment from work. Heal Psychol. 2015;34(Suppl):1240–51 PMID:26651465. · DOI · Paper page
Ebert DD, Lehr D, Heber E, Riper H, Cuijpers P, Berking M. Internet-and mobile-based stress management for employees with adherence-focused guidance: efficacy and mechanism of change. Scand J Environ Heal. 2016;42(5):382–94. · DOI · Paper page
Terhorst Y, Rathner EM, Baumeister H, Sander L. Help from the App-Store? a systematic review of apps for depression (in press). Verhaltenstherapie 2017.
Wampold BE, Imel ZE. The great psychotherapy debate: the evidence for what makes psychotherapy work. Routledge; 2015. ISBN:1136672605. · DOI · Paper page
Cadwalladr C, Graham-Harrison E. Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. Guard 2018;17.
Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Ann Behav Med. 2017;52(6):446–62 Oxford University Press US. · DOI · Paper page

Sorted by citations

Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review
Rahsepar Meadi, M., Sillekens, T., Metselaar, S., van Balkom, A., Bernstein, J., & Batelaan, N. (2025) · JMIR Mental Health · doi:10.2196/60432 · Cited by 211 · see citing works
“In 2019, Ebert et al [45] reported that only 4% of commercial apps for depression and anxiety symptoms (not only CAI apps) had been subjected to rigorous clinical studies.”
Influential
Engagement in digital interventions.
Nahum-Shani, I., Shaw, S. D., Carpenter, S. M., Murphy, S. A., & Yoon, C. (2022) · American Psychologist · doi:10.1037/amp0000983 · Cited by 177 · see citing works
Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis
Saheb, T., Saheb, T., & Carpenter, D. O. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104660 · Cited by 140 · see citing works
Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions – A Narrative Review for a Comprehensive Insight
Alhuwaydi, A. M. (2024) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s461562 · Cited by 152 · see citing works
“It provides an overview of the current state of digital mental health interventions and an introduction to their potential to improve the efficacy of treatment and intervention strategies through AI.”
Background
ChatGPT is not ready yet for use in providing mental health assessment and interventions
Dergaa, I., Fekih-Romdhane, F., Hallit, S., Loch, A. A., Glenn, J. M., Fessi, M. S., Ben Aissa, M., Souissi, N., Guelmami, N., Swed, S., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1277756 · Cited by 125 · see citing works
“AI chatbots, as these tools are commonly referred to, may be useful in the delivery of evidence-based mental health interventions (10).”
Background
AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units
Dawoodbhoy, F. M., Delaney, J., Cecula, P., Yu, J., Peacock, I., Tan, J. S., & Cox, B. M. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06993 · Cited by 136 · see citing works
Automatic detection of depression symptoms in twitter using multimodal analysis
Safa, R., Bayat, P., & Moghtader, L. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-021-04040-8 · Cited by 122 · see citing works
“While mental disorders are difficult to diagnose and monitor through traditional approaches, which heavily relying on surveys and interviews, online screening tools are valuable and might act in the future as more standard assessment strategies, like medical decision support systems [10] or health surveillance tools t…”
Background
Attitudes and perspectives towards the preferences for artificial intelligence in psychotherapy
Aktan, M. E., Turhan, Z., & Dolu, İ. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107273 · Cited by 91 · see citing works
Advantages and disadvantages of online and blended therapy: replication and extension of findings on psychotherapists' appraisals
Schuster, R., Topooco, N., Keller, A., Radvogin, E., & Laireiter, A.-R. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100326 · Cited by 77 · see citing works
“DMHI span a wide range of interventions (Ebert et al., 2019), including virtual/augmented reality programs (e.g., Aboujaoude et al., 2015; Carl et al., 2019;)”
Background
Effect of an internet- and app-based stress intervention compared to online psychoeducation in university students with depressive symptoms: Results of a randomized controlled trial
Harrer, M., Apolinário-Hagen, J., Fritsche, L., Salewski, C., Zarski, A.-C., Lehr, D., Baumeister, H., Cuijpers, P., & Ebert, D. D. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100374 · Cited by 63 · see citing works
Self-citation
Factors affecting mental health of seafarers on board merchant ships: a systematic review
Nittari, G., Gibelli, F., Bailo, P., et al. (2022) · Reviews on Environmental Health · doi:10.1515/reveh-2021-0070 · Cited by 54 · see citing works
“Through ITCs, the tools and solutions with which to face, improve and manage the mental health of this category of workers, all too neglected to date, shall be identified [52 – 54].”
Method
Exploring medical students' views on digital mental health interventions: A qualitative study
Dederichs, M., Weber, J., Pischke, C. R., Angerer, P., & Apolinário-Hagen, J. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100398 · Cited by 50 · see citing works
Self-citation
Personalised depression forecasting using mobile sensor data and ecological momentary assessment
Kathan, A., Harrer, M., Küster, L., Triantafyllopoulos, A., He, X., Milling, M., Gerczuk, M., Yan, T., Rajamani, S. T., Heber, E., et al. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.964582 · Cited by 47 · see citing works
Self-citation
Decreasing Mental Well-Being During the COVID-19 Pandemic: A Longitudinal Study Among Danes Before and During the Pandemic
Thygesen, L. C., Møller, S. P., Ersbøll, A. K., Santini, Z. I., Nielsen, M. B. D., Grønbæk, M., & Ekholm, O. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.09.035 · Cited by 48 · see citing works
Augmented Reality and Virtual Reality Modules for Mindfulness
Singh, B., & Kaunert, C. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-1123-3.ch007 · Cited by 45 · see citing works
E-mental health in Germany — what is the current use and what are experiences of different types of health care providers for patients with mental illnesses?
Weitzel, E. C., Schwenke, M., Schomerus, G., Schönknecht, P., Bleckwenn, M., Mehnert, A., Riedel-Heller, S. G., & Löbner, M. (2023) · Archives of Public Health · doi:10.1186/s13690-023-01150-y · Cited by 41 · see citing works
Applications of artificial intelligence to improve patient flow on mental health inpatient units - Narrative literature review
Cecula, P., Yu, J., Dawoodbhoy, F. M., Delaney, J., Tan, J. S., Peacock, I., & Cox, B. M. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06626 · Cited by 32 · see citing works
Strategies for Implementing Occupational eMental Health Interventions: Scoping Review
Bernard, R. M., Toppo, C., Raggi, A., de Mul, M., de Miquel, C., Pugliese, M. T., Feltz-Cornelis, C. M. V. D., Ortiz-Tallo, A., Salvador‐Carulla, L., Lukersmith, S., et al. (2022) · Journal of Medical Internet Research · doi:10.2196/34479 · Cited by 22 · see citing works
“For instance, AI can use usage data to complement existing methods to better identify people who are at a high risk of mental health problems, support health decision-making, and offer resources that meet users’ individual health needs [89].”
Background
Predicting mental health using social media: A roadmap for future development
Safa, R., Edalatpanah, S. A., & Sorourkhah, A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-19413-9.00014-x · Cited by 22 · see citing works
Can We Prevent Depression in At-Risk Older Adults Using Self-Help? The UK SHARD Trial of Behavioral Activation
Gilbody, S. M., Brabyn, S., Mitchell, A. S., Ekers, D., McMillan, D., Bailey, D., Hems, D., Chew-Graham, C. A., Keding, A., & Bosanquet, K. (2021) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2021.06.006 · Cited by 19 · see citing works
Finding the Best Match — a Case Study on the (Text-)Feature and Model Choice in Digital Mental Health Interventions
Zantvoort, K., Scharfenberger, J., Boß, L., Lehr, D., & Funk, B. (2023) · Journal of Healthcare Informatics Research · doi:10.1007/s41666-023-00148-z · Cited by 19 · see citing works
“Consequently, offering effective help on a larger scale is of paramount importance for individuals and, considering costs and devastating impacts, for societies as a whole [4].”
Background
Are guided internet-based interventions for the indicated prevention of depression in green professions effective in the long run? Longitudinal analysis of the 6- and 12-month follow-up of a pragmatic randomized controlled trial (PROD-A)
Braun, L., Titzler, I., Terhorst, Y., Freund, J., Thielecke, J., Ebert, D. D., & Baumeister, H. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100455 · Cited by 18 · see citing works
Self-citation
Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions
Zantvoort, K., Isacsson, N. H., Funk, B., & Kaldo, V. (2024) · Digital Health · doi:10.1177/20552076241248920 · Cited by 17 · see citing works
Piloting sexual assault care centres in Belgium: who do they reach and what care is offered?
Baert, S., Gilles, C., Belle, S. V., Bicanic, I., Roelens, K., & Keygnaert, I. (2021) · European Journal of Psychotraumatology · doi:10.1080/20008198.2021.1935592 · Cited by 17 · see citing works
Mental health services for German university students: acceptance of intervention targets and preference for delivery modes
Kählke, F., Hasking, P., Küchler, A.-M., & Baumeister, H. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1284661 · Cited by 18 · see citing works
Self-citation
Investigating the Persuasive Effects of Testimonials on the Acceptance of Digital Stress Management Trainings Among University Students and Underlying Mechanisms: A Randomized Controlled Trial
Apolinário-Hagen, J., Fritsche, L., Wopperer, J., Wals, F., Harrer, M., Lehr, D., Ebert, D. D., & Salewski, C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.738950 · Cited by 16 · see citing works
“, asynchronous feedback), and technical implementation (e.g., virtual reality; Ebert et al., 2019).”
BackgroundSelf-citation
Chatbots in Psychology: Revolutionizing Clinical Support and Mental Health Care
de Filippis, R., & Foysal, A. A. (2024) · Voice of the Publisher · doi:10.4236/vp.2024.103025 · Cited by 15 · see citing works
Australian Digital Mental Health Services: Consumer Perceptions of Their Usability and Acceptability
Ftanou, M., Machlin, A., Mangelsdorf, S. N., Morgan, A., & Bassilios, B. (2024) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-024-00431-9 · Cited by 11 · see citing works
“Barriers at the consumer level include a lack of awareness of these intervention, low computer competency, and concerns about data privacy, safety and confidentiality (Ebert et al., 2019; Batterham et al., 2019).”
Augmented Reality and Virtual Reality in Health Advancements and Medical Education
Singh, B., & Chandra, S. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-4199-5.ch008 · Cited by 11 · see citing works
Akzeptanz und Nutzung von E-Mental-Health-Angeboten unter Studierenden: Sekundäranalyse eines Experiments
Apolinário-Hagen, J., Harrer, M., Salewski, C., Lehr, D., & Ebert, D. D. (2023) · Prävention und Gesundheitsförderung · doi:10.1007/s11553-022-00945-1 · Cited by 9 · see citing works
“Solche eMHSs umfassen ein breites Spektrum an digitalen Interventionen, von Stressmanagement-Apps bis hin zur Psychotherapie via Videokonferenz, die den Zugang zu Gesundheitsangeboten erleichtern und bestimmte Zielgruppen besser erreichen könnten als Face-toface-Angebotealleine[13].”
BackgroundSelf-citation
Preferences Regarding Information Strategies for Digital Mental Health Interventions Among Medical Students: Discrete Choice Experiment
Vomhof, M., Bau, J., Hüter, P., Stehl, S., Haastert, B., Loerbroks, A., Icks, A., Calo, S., Schuster, L., Pischke, C. R., et al. (2024) · JMIR Formative Research · doi:10.2196/55921 · Cited by 10 · see citing works
“…by their application field (eg, prevention vs therapy), technical modality (eg, app and virtual reality), guidance (varying in source, timing, and intensity; eg, via videoconference) or application area (eg, stand-alone vs blended care), and theory base (eg, cognitive behavioral therapy) [5,6].”
BackgroundSelf-citation
The effect of smartphone-based monitoring and treatment including clinical feedback versus smartphone-based monitoring without clinical feedback in bipolar disorder: the SmartBipolar trial—a study protocol for a randomized controlled parallel-group trial
Faurholt‐Jepsen, M., Kyster, N. B., Dyreholt, M. S., Christensen, E. M., Bondo-Kozuch, P., Lerche, A. S., Smidt, B., Knorr, U. B., Brøndmark, K., Cardoso, A.-M. B., et al. (2023) · Trials · doi:10.1186/s13063-023-07625-1 · Cited by 8 · see citing works
A digital therapeutic alliance in digital mental health
Kaveladze, B., & Schueller, S. M. (2023) · Digital Therapeutics for Mental Health and Addiction · doi:10.1016/b978-0-323-90045-4.00009-5 · Cited by 8 · see citing works
An Internet-Based Multi-Approach Intervention Targeting University Students Suffering from Psychological Problems: Design, Implementation, and Evaluation
Fabritiis, M. D., Trisolini, F., Bertuletti, G., Fagadau, I. D., Ginelli, D., Lalopa, K. P., Peverelli, L., Pirola, A., Sala, G., Maisto, M., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052711 · Cited by 7 · see citing works
“These entail the technological implementation of therapeutic treatments that occur in different ways: through web-based platforms, via mobile applications, virtual reality, video games, or feedback and reinforcement interventions through notifications and nudges [15].”
BackgroundInfluential
Learning how to recover from stress: Results from an internet-based randomized controlled pilot trial
Asplund, R. P., Carvallo, F., Christensson, H., Videsäter, E., Häggman, A., Ljótsson, B., Carlbring, P., & Andersson, G. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100681 · Cited by 6 · see citing works
“…et al., 2023) and promising results from studies on psychological detachment and recovery training interventions (e.g., Hahn et al., 2011; Karabinski et al., 2021), a majority of individuals suffering from stress and other mental health-related disorders, remain untreated (Ebert et al., 2019).”
Result
Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessions
Iftikhar, Z., Ransom, S., Xiao, A., Nugent, N., & Huang, J. (2024) · arXiv · doi:10.48550/arxiv.2409.02244 · Cited by 6 · see citing works
“Asignif-icantareaoffocusistheuseofconversationalagentsorchatbotsforstandalonesupport[14,22,29,54], eitherasagentsprovidingpsychoeducationalcontentorasapsychotherapist[38,70,86].”
Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessions
Iftikhar, Z., Ransom, S., Xiao, A. W., Nugent, N. R., & Huang, J. J. S. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3817112 · Cited by 24 · see citing works
“Asignif-icantareaoffocusistheuseofconversationalagentsorchatbotsforstandalonesupport[14,22,29,54], eitherasagentsprovidingpsychoeducationalcontentorasapsychotherapist[38,70,86].”
Artificial Intelligence in Mental Healthcare During COVID-19 Pandemic
Kar, S. K., Kabir, R., Menon, V., Arafat, S. M. Y., Prakash, A. J., & Saxena, S. K. (2021) · Medical virology · doi:10.1007/978-981-15-7317-0_17 · Cited by 6 · see citing works
Artificial Intelligence and Stress Management Tools for Better Mental Health
Yadav, S. J. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9158-7.ch007 · Cited by 5 · see citing works
Technische Umsetzung, inhaltliche Gestaltung und Implementierungsmöglichkeiten
Zarski, A., Baumeister, H., & Ebert, D. D. (2023) · Springer eBooks · doi:10.1007/978-3-662-65816-1_1 · Cited by 5 · see citing works
Self-citation
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT
Isacsson, N. H., Zantvoort, K., Forsell, E., Boman, M., & Kaldo, V. (2024) · Internet Interventions · doi:10.1016/j.invent.2024.100773 · Cited by 4 · see citing works
“In ML, many neural network models can account for time-dependent input, but they require large datasets to perform well (Bzdok and Meyer-Lindenberg, 2018; Ebert et al., 2019).”
Background
Accelerating Healthcare Outcomes Uplifting Patient Experiences Pairing Artificial intelligence (AI)
Singh, B., & Kaunert, C. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-5237-3.ch004 · Cited by 4 · see citing works
When and How to Integrate Multimodal Large Language Models in College Psychotherapy: Feedback from Psychotherapists in China
Wang, J., Sheng, Y., He, Q., Liu, S., Jing, Y., & He, D. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720159 · Cited by 3 · see citing works
The Digital Transformation of Mental Health Care and Psychotherapy – A Market and Research Maturity Analysis
Schmid, A., & Kurpicz-Briki, M. (2022) · Studies in health technology and informatics · doi:10.3233/shti220322 · Cited by 3 · see citing works
Digital interventions targeting the impact of stress on stress-related mental health outcomes in military personnel and veterans: a systematic review
Metts, A. V., Harris, E., Martinez, N. M., Pearson, R., & Creech, S. K. (2026) · Journal of Behavioral Medicine · doi:10.1007/s10865-026-00653-7 · Cited by 4 · see citing works
“…(Cognition Companion, Betthauser et al., 2020; Autonomous Connectivity Independent System for Remote align with current theory, which suggests that digital interventions may serve as an independent intervention or may be used as a complement to other intervention approaches (Ebert et al., 2019).”
E-Mental Health: Internet- und mobilbasierte Interventionen in der Psychotherapie
Ebert, D. D., & Baumeister, H. (2020) · Springer eBooks · doi:10.1007/978-3-662-61814-1_35 · Cited by 2 · see citing works
Self-citation
The Effect of a Digital Mental Health Program on Anxiety and Depression Symptoms: Retrospective Analysis of Clinical Severity
Dzubur, E., Yu, J., Hoffman, J. E., Painter, S. L., James, R. A., & Shah, B. R. (2023) · JMIR Formative Research · doi:10.2196/36596 · Cited by 2 · see citing works
AR and VR in Health Expansions and Medical Education
Singh, B., & Kaunert, C. (2024) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-4252-7.ch002 · Cited by 2 · see citing works
Sosyal Medya Etkileşimlerinde Depresyonu Tanımlamak için Derin Öğrenme Tekniklerinin Kullanılması
Nooruldeen, Ö. İ., & Savaş, S. (2024) · Sinop Üniversitesi Fen Bilimleri Dergisi · doi:10.33484/sinopfbd.1456956 · Cited by 2 · see citing works
The applicability and effectiveness of the cognitive behavioral therapy for insomnia (Smart CBT-I plus) online program in patients with insomnia disorder combined with anxiety and depression: a randomized controlled trial protocol
Zhao, Y., Ge, F., Luo, X. R., Li, J., Zhang, J., Ju, Y., Zhang, J., Wang, Y., Lyu, D., Qiu, Y., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1450275 · Cited by 2 · see citing works
Cerina—Cognitive Behavioral Therapy–Based Mobile App for Managing Generalized Anxiety Disorder Symptoms Among University Students: Results From a Pilot Feasibility Randomized Controlled Trial
Eylem-van Bergeijk, O., Robinson, T., Manktelow, M., Olympios, M., Poulter, S., Mane, P., Panagioti, M., Condell, J., & Leavey, G. (2025) · JMIR mHealth and uHealth · doi:10.2196/70691 · Cited by 2 · see citing works
“Despite the assumed benefits of digital CBT, such as reduced costs, anonymity, and accessibility [25], the existing randomized controlled trials (RCTs) point to mixed results about the effectiveness of these interventions in reducing GAD symptoms among student populations [26-31].”
Digital Diagnostic and Therapeutic Approaches in Bipolar Disorder
Faurholt‐Jepsen, M., & Kessing, L. V. (2025) · Springer eBooks · doi:10.1007/978-3-031-85519-1_38 · Cited by 1 · see citing works
Wearable Sensors, Real-Time Monitoring and Data Assimilation in Healthcare Resonates
Singh, B. (2025) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-6094-1.ch011 · Cited by 1 · see citing works
Preferences for Digital Mental Health Services in Urban China: A Discrete Choice Experiment
Xiang, D., Qian, Y., & Liang, D. (2025) · Applied Health Economics and Health Policy · doi:10.1007/s40258-025-01014-2 · Cited by 1 · see citing works
“First, we conducted a literature review (see Literature Search Strategy and Results in the Electronic Supplementary Material [ESM]) to identify the characteristics of digital mental health services and explore the barriers and facilitators of people using such services [9, 31].”
Uso de herramientas virtuales para el abordaje inicial en pacientes con síntomas de salud mental: una revisión de la literatura
Herrera, J. P. O., López, B. I. F., Sabogal, Y. R. G., Pérez, D. P., & Cruz, M. A. R. (2024) · Persona y Bioética · doi:10.5294/pebi.2023.27.2.4 · Cited by 1 · see citing works
Leveraging Artificial Intelligence to Mitigate Adolescent Risky Behaviors: A Scoping Review ProtocolPreprint
Sadeghsalehi, H., & Joulaei, H. (2024) · medRxiv · doi:10.1101/2024.06.11.24308749 · Cited by 1 · see citing works
User Experience and Clinical Utility of a Smartphone-Based Application for Hwa-Byung Treatment: a protocol for a single-arm prospective pilot study.
Kwon, C.-Y., Lee, B., Kim, M., & Yoon, D. (2026) · Journal of Pharmacopuncture · doi:10.3831/kpi.2026.29.1.118
“Digital health technologies, particularly smartphone applications, offer a promising solution [7, 8].”
Digitale Phänotypisierung und künstliche Intelligenz
Harrer, M., Terhorst, Y., Baumeister, H., & Ebert, D. D. (2023) · Springer eBooks · doi:10.1007/978-3-662-65816-1_27
Self-citation
Key Indicators of Digital Health Dissemination and Application in Healthcare Settings: A Combined Analytic Hierarchy Process and Cross-sectional Survey Analysis in South Korea (Preprint)Preprint
Kim, H. H., Lee, J., Kim, J. H., Beck, S. S., & Park, Y. R. (2023) · doi:10.2196/preprints.47485
Devising the issues associated with artificial intelligence for mental disorders
Anandwani, S., & Vekariya, V. (2023) · AIP conference proceedings · doi:10.1063/5.0168833
Artificial Intelligence-Based Quality Improvement Strategies for Clinical Psychological Counseling Services
Lu, J., Yan, W., Cui, R., & Hu, T. (2024) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2024-3120 · Cited by 1 · see citing works
Unleashing Machine Learning in Physical and Mental Wellbeing
Singh, G., Singh, B., & Jermsittiparsert, K. (2024) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-6190-0.ch014
Impending Transformation of Untethered Care Focusing Patient Management
Singh, B., Jermsittiparsert, K., Kaunert, C., & Raghav, A. S. (2024) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-6190-0.ch023
Transmuting Healthcare Industry in Digital Field
Jermsittiparsert, K., & Singh, B. (2024) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-6190-0.ch015
Limitless Possibilities of Augmented-Virtual Reality, Smart Wearable, and Intelligent Systems for Healthcare
Singh, B., & Kaunert, C. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-4422-4.ch006
The psychotherapeutic approach of artificial intelligence vs human intelligence. Artificial intelligence in the psychotherapeutic approach
Cojocaru, A., & Bubuioc, L. (2024) · Vector European · doi:10.52507/2345-1106.2024-2.34
How Avatar Can Enhance Autobiographical Memory of Patients with Substance Use DisorderPreprint
Frisone, F., Brizzi, G., Calabrò, G., Zappalà, G., Allegra, G., Guanta, L., Silvestro, M., Stanghellini, G., & Riva, G. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5113036
Wearable Sensors in Real-Time Monitoring and Data Assimilation in Health and Wellness
Singh, B., Chandra, S., & Agarwal, N. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-8774-0.ch018
Ethical AI in Psychiatric Care
Chandra, S., Singh, B., Wongmahesak, K., et al. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-2210-0.ch013
Integrating Qualitative Research in the User-Centered Development of Couple Time – A Systemic Internet-Based Intervention to Enhance Couple Satisfaction
Meßner, E.-M., Ustahüseyin, B., & Portenhauser, A. A. (2025) · European Family Therapy Association series · doi:10.1007/978-3-031-92225-1_6
Exploring ethical dilemmas and regulatory obstacles in modeling-based therapeutics: Addressing data privacy concerns
Dontiboina, H. R., Yadava, S., Gunturpalli, C., Nalluri, B. N., Dumala, N., Viswanadh, M. K., Anusha, V. L., Kundnani, N. R., & Ramakrishna, K. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33877-9.00011-2
Improving Work-Related Challenges in Psychiatric-Psychosomatic Clinics: Study Protocol for an Internet-Based Needs Assessment and Co-Design of a Training
Schiffer, K., & Lippke, S. (2025) · JMIR Research Protocols · doi:10.2196/78047
Precision Prognosis: Harnessing Artificial Intelligence for Early Detection and Prediction of Diseases in Healthcare
Munukutla, M. K., Karthikeyan, P., & Vishnu, M. (2025) · International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) · doi:10.1109/iccams65118.2025.11234626
NLP and Wearable Technology
Ghosh, R. C., Singh, G. B., & Sharma, N. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9521-9.ch011
AI-Driven Value Creation in Mental Healthcare: A Qualitative Trend Analysis
Darvish, M., Eckleben, E., & Bick, M. (2026) · Lecture notes in business information processing · doi:10.1007/978-3-032-18487-0_19
Digital Therapeutics and Blended Care in Major Depressive Disorder: Current Evidence and Future Directions
Schwientek, A.-K., Drüge, M., Terhorst, Y., Kabrel, M., Sahan, F., & Apolinário-Hagen, J. (2026) · Advances in experimental medicine and biology · doi:10.1007/978-981-95-6872-7_29
Self-citation
Digital Mental Health Interventions and Their Effectiveness in Improving Global Well-Being
Lokeshwari, D. V. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-2686-1.ch003
Photorealistic avatars can help to improve treatment outcome expectations
Bauermann, P., & Rief, W. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1960478

Internet- and Mobile-Based Psychological Interventions: Applications, Efficacy, and Potential for Improving Mental Health: A Report of the EFPA E-Health Taskforce
Ebert, D. D., Van Daele, T., Nordgreen, T., Karekla, M., Compare, A., Zarbo, C., Brugnera, A., Øverland, S., Trebbi, G., Jensen, K. L., et al. (2018) · European Psychologist · doi:10.1027/1016-9040/a000318 · Cited by 437 · see citing works
Self-citation
Current State of the Art and Implications for Clinical Practice of Internet- and Mobile-Based Psychological Interventions
Salgado, J., Gomes, M., Csabai, M., Daele, T. V., Doyle, F., Eimontas, J., Elster, R. N., Gosar, D., Haddouk, L., Karekla, M., et al. (2026) · European Psychologist · doi:10.1027/1016-9040/a000588 · Cited by 1 · see citing works
Evidence of Internet- and Mobile-Based Interventions for Mental Disorders
Löchner, J., Schoenenberg, K., & Zarski, A. (2026) · Springer eBooks · doi:10.1007/978-3-032-08980-9_3
Digital interventions in adult mental healthcare settings: recent evidence and future directions
Dülsen, P., Bendig, E., Küchler, A., Christensen, H. M., & Baumeister, H. (2020) · Current Opinion in Psychiatry · doi:10.1097/yco.0000000000000614 · Cited by 18 · see citing works
Self-citation
Effectiveness of AI-Driven Digital Mental Health Interventions and Their Implications for Health Service Delivery: A Systematic Review and Meta-Analysis (2013–2025)Preprint
Nursalim, M., Saroinsong, W. P., Ledger, S., & Widya, S. N. (2026) · Research Square · doi:10.21203/rs.3.rs-10185264/v1

Authors: Ebert, D. D., Harrer, M., Apolinário-Hagen, J., & Baumeister, H.
Affiliations: Vrije Universiteit Amsterdam (NL)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
FernUniversität in Hagen (DE)
Universität Ulm (DE)
Corresponding author: Ebert, David Daniel
ORCID: Ebert, David Daniel
Harrer, Mathias
Apolinário-Hagen, Jennifer
Baumeister, Harald
Venue: Advances in Experimental Medicine and Biology
Publisher: Springer Singapore
Published: 2019
Volume: 1192
Pages: 583-627
ISSN: 0065-2598 (ISSN-L)
2214-8019
DOI: 10.1007/978-981-32-9721-0_29
OpenAlex: W2985217336
Semantic Scholar: 5a72a586e0eb3ea08d584944e4fb08ff2fb960f0
Cited by: 76
References: 333
Citations by year: 2026: 6 · 2025: 16 · 2024: 21 · 2023: 10 · 2022: 9 · 2021: 12 · 2020: 2
FWCI: 35.41
Type: book chapter
Language: en
Open access: green
hdl.handle.net
Licence: other-oa
www.springer.com/tdm (tdm)
Locations: Advances in experimental medicine and biology (publishedVersion)
PubMed (publishedVersion)
VU Research Portal (submittedVersion, other-oa)
Data Archiving and Networked Services (DANS) (submittedVersion)
Topics: Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords: online intervention, mobile-based interventions, digital mental health, mental illness, artificial intelligence, machine learning, therapist-guided intervention, mental disorder prevention, treatment efficacy, effect mechanism, adults
MeSH terms: Adult, Artificial Intelligence, Mental Disorders, Humans, Psychotherapy, Telemedicine, Internet, Mobile Applications

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications

Abstract

Integrity signals

Claims the paper makes

Self-check

Cites

Cited by

Related

Record

About these checks