Evidence-Based Psychological Internet Interventions: Challenges, Best Practices, and Recommendations

Monika Kornacka

SWPS University, Institute of Psychology, Emotion Cognition Lab
https://orcid.org/0000-0003-2737-9236

Anna Maj

SWPS University, Institute of Psychology, StresLab: Stress Research Center
https://orcid.org/0000-0002-6780-2265

Marta Szastok

SWPS University, Institute of Psychology, Emotion Cognition Lab
https://orcid.org/0000-0001-7674-7651

Stanisław Karkosz

SWPS University, Institute of Psychology
https://orcid.org/0000-0001-8413-7941

Steven Barnes

SWPS University, Institute of Psychology, Emotion Cognition Lab
https://orcid.org/0000-0002-5114-2178

Małgorzata Para

SWPS University, Institute of Psychology, Emotion Cognition Lab
https://orcid.org/0009-0008-7178-0063

Julie Prescott

University of Law, Psychology Faculty
https://orcid.org/0000-0001-8612-2495

Magdalena Leśnierowska

SWPS University, Institute of Psychology, StresLab: Stress Research Center
https://orcid.org/0000-0003-4095-8865

Ewelina Smoktunowicz

SWPS University, Institute of Psychology, StresLab: Stress Research Center
https://orcid.org/0000-0002-1748-3876


Abstrakt

Goal: The number of psychological interventions delivered through new technologies, such as apps, chatbots and online platforms (so called ‘internet interventions’) is growing rapidly. Their development is recommended by the World Health Organisation (WHO) due to their accessibility both in the context of geographic and economic exclusion, the limited number of psychotherapists, and long waiting times to receive psychological services.

Internet interventions, delivered as standalone programs or as a supplement to traditional psychological support and psychotherapy, have been confirmed to be effective by numerous meta-analyses. However, some solutions which have appeared on the market are not based on theoretical models and their effectiveness remains untested or insufficiently researched. This article, based on a narrative literature review, positions internet interventions as evidence-based solutions, while also discussing the key challenges facing this field of research and clinical practice.

Thesis: The current most important challenges are: (1) difficulties with the classification and naming of internet interventions; (2) the need for high-quality scientific evidence which confirms the effectiveness of specific interventions rather than just its theoretical basis; and (3) accounting for specific aspects of internet interventions, such as co-designing solutions, user-experience, digital therapeutic tools, and gamification.

This article outlines current practices concerning internet interventions, discusses examples of associated regulations, and outlines user needs regarding the safe selection and use of internet interventions.

Conclusion: Internet interventions are evidence-based. Given the current state of regulation however, particular care should be taken in clearly communicating how the effectiveness of any given intervention has been tested against standards, enabling patients and professionals to make informed choices.


Słowa kluczowe:

Internet interventions, eHealth, evidence-based interventions


Allen, S. F., Wetherell, M. A., & Smith, M. A. (2020). Online writing about positive life experiences reduces depression and perceived stress reactivity in socially inhibited individuals. Psychiatry Research, 284, Article 112697. https://doi.org/10.1016/j.psychres.2019.112697   Google Scholar

Andersson, G. (2018). Internet interventions: Past, present and future. Internet Interventions, 12, 181–188. https://doi.org/10.1016/j.invent.2018.03.008   Google Scholar

Andersson, G., & Carlbring, P. (2022). Internet interventions in clinical psychology. In Comprehensive clinical psychology, second edition (6th ed., pp. 194–205). Elsevier. https://doi.org/10.1016/B978-0-12-818697-8.00211-9   Google Scholar

Andersson, G., Carlbring, P., & Cuijpers, P. (2010). Internet interventions: Moving from efficacy to effectiveness. E-Journal of Applied Psychology, 5(2), 9–17. https://doi.org/10.7790/ejap.v5i2.169   Google Scholar

Barak, A., Klein, B., & Proudfoot, J. G. (2009). Defining internet-supported therapeutic interventions. Annals of Behavioral Medicine, 38(1), 4–17. https://doi.org/10.1007/s12160-009-9130-7   Google Scholar

Barnes, S., & Prescott, J. (2025). “Barriers to entry: Navigating issues by employing users in the design and development of digital innovations”. In S. Barnes & J. Prescott (eds), How digital technologies can suport positive psychology (Positive Psychology in Practice) (pp. 43–57). Emerald Publishing Limited, Leeds. https://doi.org/10.1108/978-1-83797-428-320251005   Google Scholar

Baumeister, H., Reichler, L., Munzinger, M., & Lin, J. (2014). The impact of guidance on Internet-based mental health interventions – A systematic review. Internet Interventions, 1(4), 205–215. https://doi.org/10.1016/j.invent.2014.08.003   Google Scholar

Berger, T. (2017). The therapeutic alliance in internet interventions: A narrative review and suggestions for future research. Psychotherapy Research, 27(5), 511–524. https://doi.org/10.1080/10503307.2015.1119908   Google Scholar

Berry, K., Salter, A., Morris, R., James, S., & Bucci, S. (2018). Assessing therapeutic alliance in the context of mHealth interventions for mental health problems: Development of the Mobile Agnew Relationship Measure (mARM) questionnaire. Journal of Medical Internet Research, 20(4), Article e90. https://doi.org/10.2196/jmir.8252   Google Scholar

Bordin, E. S. (1979). The generalizability of the psychoanalytic concept of the working alliance. Psychotherapy: Theory, Research & Practice, 16(3), 252–260. https://doi.org/10.1037/h0085885   Google Scholar

Carl, E., Stein, A. T., Levihn-Coon, A., Pogue, J. R., Rothbaum, B., Emmelkamp, P., Asmundson, G. J. G., Carlbring, P., & Powers, M. B. (2019). Virtual reality exposure therapy for anxiety and related disorders: A meta-analysis of randomized controlled trials. Journal of Anxiety Disorders, 61, 27–36. https://doi.org/10.1016/j.janxdis.2018.08.003   Google Scholar

Carlbring, P., Andersson, G., Cuijpers, P., Riper, H., & Hedman-Lagerlöf, E. (2018). Internet-based vs. face-to-face cognitive behavior therapy for psychiatric and somatic disorders: An updated systematic review and meta-analysis. Cognitive Behaviour Therapy, 47(1), 1–18. https://doi.org/10.1080/16506073.2017.1401115   Google Scholar

Carlbring, P., Hadjistavropoulos, H., Kleiboer, & A., Andersson, G. (2023). A new era in Internet interventions: The advent of Chat-GPT and AI-assisted therapist guidance. Internet Interventions, 32, Article 100621. https://doi.org/10.1016/j.invent.2023.100621   Google Scholar

Cheah, K. J., Manaf, Z. A., Ludin, A. F. M., Razalli, N. H., Mokhtar, N. M., & Ali, S. H. M. (2024). Mobile apps for common noncommunicable disease management: Systematic search in app stores and evaluation using the Mobile App Rating Scale. JMIR mHealth and uHealth, 12(1), Article e49055. https://doi.org/10.2196/49055   Google Scholar

Clarke, J., Proudfoot, J., Whitton, A., Birch, M.-R., Boyd, M., Parker, G., Manicavasagar, V., HadziPavlovic, D., & Fogarty, A. (2016). Therapeutic alliance with a fully automated mobile phone and web-based intervention: Secondary analysis of a randomized controlled trial. JMIR Mental Health, 3(1), Article 10. https://doi.org/10.2196/mental.4656   Google Scholar

Cohen, Z. D., & Schueller, S. M. (2023). Expanding, improving, and understanding behaviour research and therapy through digital mental health. Behaviour Research and Therapy, 167, Article 104358. https://doi.org/10.1016/j.brat.2023.104358   Google Scholar

Crocamo, C., Palpella, D., Cavaleri, D., Nasti, C., Piacenti, S., Morello, P., Lauria, G., Villa, O., Riboldi, I., Bartoli, F., Torous, J., & Carrà, G. (2025). Digital health interventions for mental health disorders: An umbrella review of meta-analyses of randomised controlled trials. The Lancet Digital Health, 7(8), Article 100878. https://doi.org/10.1016/j.landig.2025.100878   Google Scholar

Darcy, A., Daniels, J., Salinger, D., Wicks, P., & Robinson, A. (2021). Evidence of human-level bonds established with a digital conversational agent: Cross-sectional, retrospective observational study. JMIR Formative Research, 5(5), Article e27868. https://doi.org/10.2196/27868   Google Scholar

Davison, G. C. (2000). Stepped care: Doing more with less? Journal of Consulting and Clinical Psychology, 68(4), 580–585. https://doi.org/10.1037/0022-006X.68.4.580   Google Scholar

D’Alfonso, S., Lederman, R., Bucci, S., & Berry, K. (2020). The digital therapeutic Alliance and human–computer interaction. JMIR Mental Health, 7(12), Article e21895. https://doi.org/10.2196/21895   Google Scholar

Duffy, A., Boroumandzad, N., Sherman, A. L., Christie, G., Riadi, I., & Moreno, S. (2025). Examining challenges to co-design digital health interventions with end users: Systematic review. Journal of Medical Internet Research, 27(1), Article e50178. https://doi.org/10.2196/50178   Google Scholar

Eltahawy, L., Essig, T., Myszkowski, N., & Trub, L. (2024). Can robots do therapy?: Examining the efficacy of a CBT bot in comparison with other behavioral intervention technologies in alleviating mental health symptoms. Computers in Human Behavior: Artificial Humans, 2(1), Article 100035. https://doi.org/10.1016/j.chbah.2023.100035   Google Scholar

Escobar-Viera, C. G., Porta, G., Coulter, R. W. S., Martina, J., Goldbach, J., & Rollman, B. L. (2023). A chatbot-delivered intervention for optimizing social media use and reducing perceived isolation among rural-living LGBTQ+ youth: Development, acceptability, usability, satisfaction, and utility. Internet Interventions, 34, Article 100668. https://doi.org/10.1016/j.invent.2023.100668   Google Scholar

Eysenbach, G., Consort-EHEALTH Group. (2011). CONSORT-EHEALTH: Improving and standardizing evaluation reports of web-based and mobile health interventions. Journal of Medical Internet Research, 13(4), Article e1923. https://doi.org/10.2196/jmir.1923   Google Scholar

Flückiger, C., Del Re, A. C., Wampold, B. E., & Horvath, A. O. (2018). The alliance in adult psychotherapy: A meta-analytic synthesis. Psychotherapy (Chicago, Ill.), 55(4), 316–340. https://doi.org/10.1037/pst0000172   Google Scholar

Freyer, O., Wrona, K. J., de Snoeck, Q., Hofmann, M., Melvin, T., Stratton-Powell, A., Wicks, P., Parks, A. C., & Gilbert, S. (2024). The regulatory status of health apps that employ gamification. Scientific Reports, 14(1), Article 21016. https://doi.org/10.1038/s41598-024-71808-2   Google Scholar

Ganapathy, A., Clough, B. A., & Casey, L. M. (2021). Organizational and policy barriers to the use of digital mental health by mental health professionals. Telemedicine and E-Health, 27(12), 1332–1343. https://doi.org/10.1089/tmj.2020.0455   Google Scholar

Goldberg, S. B., Baldwin, S. A., Riordan, K. M., Torous, J., Dahl, C. J., Davidson, R. J., & Hirshberg, M. J. (2022). Alliance with an unguided smartphone app: Validation of the Digital Working Alliance Inventory. Assessment, 29(6), 1331–1345. https://doi.org/10.1177/10731911211015310   Google Scholar

Grodniewicz, J. P., & Hohol, M. (2023). Waiting for a digital therapist: Three challenges on the path to psychotherapy delivered by artificial intelligence. Frontiers in Psychiatry, 14, Article 1190084. https://doi.org/10.3389/fpsyt.2023.1190084   Google Scholar

Haber, Y., Levkovich, I., Hadar-Shoval, D., & Elyoseph, Z. (2024). The artificial third: A broad view of the effects of introducing generative artificial intelligence on psychotherapy. JMIR Mental Health, 11, Article e54781. https://doi.org/10.2196/54781   Google Scholar

Hall, C. L., Bergin, A. D. G., & Rennick-Egglestone, S. (2024). Research into digital health intervention for mental health: 25-Year retrospective on the ethical and legal challenges. Journal of Medical Internet Research, 26(1), Article e58939. https://doi.org/10.2196/58939   Google Scholar

Heber, E., Ebert, D. D., Lehr, D., Cuijpers, P., Berking, M., Nobis, S., & Riper, H. (2017). The benefit of web- and computer-based interventions for stress: A systematic review and meta-analysis. Journal of Medical Internet Research, 19(2), Article e5774. https://doi.org/10.2196/jmir.5774   Google Scholar

Henson, P., Wisniewski, H., Hollis, C., Keshavan, M., & Torous, J. (2019). Digital mental health apps and the therapeutic alliance: Initial review. BJPsych Open, 5(1), Article e15. https://doi.org/10.1192/bjo.2018.86   Google Scholar

Hilty, D. M., Crawford, A., Teshima, J., Nasatir-Hilty, S. E., Luo, J., Chisler, L. S. M., Gutierrez Hilty, Y. S. M., Servis, M. E., Godbout, R., Lim, R. F., & Lu, F. G. (2021). Mobile health and cultural competencies as a foundation for telehealth care: Scoping review. Journal of Technology in Behavioral Science, 6(2), 197–230. https://doi.org/10.1007/s41347-020-00180-5   Google Scholar

Iribarren, S. J., Cato, K., Falzon, L., & Stone, P. W. (2017). What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions. PLOS ONE, 12(2), Article e0170581. https://doi.org/10.1371/journal.pone.0170581   Google Scholar

Jacob, C., Sanchez-Vazquez, A., & Ivory, C. (2020). Understanding clinicians’ adoption of mobile health tools: A qualitative review of the most used frameworks. JMIR mHealth and uHealth, 8(7), Article e18072. https://doi.org/10.2196/18072   Google Scholar

Jeitani, A., Fahey, P. P., Gascoigne, M., Darnal, A., & Lim, D. (2024). Effectiveness of stepped care for mental health disorders: An umbrella review of meta-analyses. Personalized Medicine in Psychiatry, 47–48, Article 100140. https://doi.org/10.1016/j.pmip.2024.100140   Google Scholar

Karyotaki, E., Efthimiou, O., Miguel, C., Maas genannt Bermpohl, F., Furukawa, T. A., Cuijpers, P., Individual Patient Data Meta-Analyses for Depression (IPDMA-DE) Collaboration. (2021). Internet-based cognitive behavioral therapy for depression: A systematic review and individual patient data network meta-analysis. JAMA Psychiatry, 78(4), 361–371. https://doi.org/10.1001/jamapsychiatry.2020.4364   Google Scholar

Karyotaki, E., Kleiboer, A., Smit, F., Turner, D. T., Pastor, A. M., Andersson, G., Berger, T., Botella, C., Breton, J. M., Carlbring, P., Christensen, H., Graaf, E. de, Griffiths, K., Donker, T., Farrer, L., Huibers, M. J. H., Lenndin, J., Mackinnon, A., Meyer, B., … Cuijpers, P. (2015). Predictors of treatment dropout in self-guided web-based interventions for depression: An ‘individual patient data’ meta-analysis. Psychological Medicine, 45(13), 2717–2726. https://doi.org/10.1017/S0033291715000665   Google Scholar

Kerber, A., Beintner, I., Burchert, S., & Knaevelsrud, C. (2023). Effects of a self-guided transdiagnostic smartphone app on patient empowerment and mental health: Randomized controlled trial. JMIR Mental Health, 10(1), Article e45068. https://doi.org/10.2196/45068   Google Scholar

Kolovos, S., van Dongen, J. M., Riper, H., Buntrock, C., Cuijpers, P., Ebert, D. D., Geraedts, A. S., Kenter, R. M., Nobis, S., Smith, A., Warmerdam, L., Hayden, J. A., van Tulder, M. W., & Bosmans, J. E. (2018). Cost effectiveness of guided Internet-based interventions for depression in comparison with control conditions: An individual–participant data meta-analysis. Depression and Anxiety, 35(3), 209–219. https://doi.org/10.1002/da.22714   Google Scholar

Kopeć, W., Biele, C., Kornacka, M., Pochwatko, G., Jaskulska, A., Skorupska, K., Paluch, J., Gago, P., Karpowicz, B., Niewiński, M., & Masłyk, R. (2021). Participatory design landscape for the human-machine collaboration, interaction and automation at the frontiers of HCI (PDL 2021). In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021 (pp. 564–569). Springer International Publishing. https://doi.org/10.1007/978-3-030-85607-6_78   Google Scholar

Kornacka, M., Jaskulska, A., Skorupska, K., Szastok, M., Nadziejko, M., & Kopeć, W. (2023). A solution for creating dynamic networks of symptoms in cognitive-behavioral functional analysis and therapy – participatory design protocol. Mental Health and Social Inclusion, 27(2), 167–176. https://doi.org/10.1108/MHSI-01-2023-0015   Google Scholar

Kornacka, M., Szastok, M., Jaskulska, A., Barnes, S. Kopeć, W., Pragłowska., E., & Popiel, A. (2025). Integrating digital mental health into practice: Polish therapists’ perspectives on adoption, acceptability, benefits, and challenges [Manuscript in preparation].   Google Scholar

Kothgassner, O. D., Goreis, A., Kafka, J. X., Van Eickels, R. L., Plener, P. L., & Felnhofer, A. (2019). Virtual reality exposure therapy for posttraumatic stress disorder (PTSD): A meta-analysis. European Journal of Psychotraumatology, 10(1), Article 1654782. https://doi.org/10.1080/20008198.2019.1654782   Google Scholar

Koval, P., Kalokerinos, E. K., Greenaway, K. H., Medland, H., Kuppens, P., Nezlek, J. B., Hinton, J. D. X., & Gross, J. J. (2023). Emotion regulation in everyday life: Mapping global self-reports to daily processes. Emotion, 23(2), 357–374. https://doi.org/10.1037/emo0001097   Google Scholar

Kuek, A., & Hakkennes, S. (2020). Healthcare staff digital literacy levels and their attitudes towards information systems. Health Informatics Journal, 26(1), 592–612. https://doi.org/10.1177/1460458219839613   Google Scholar

Kulwicka, K., & Bielecki, M. (2025). Ważne słowa na P. O pieniądzach, psychoterapii i psychiatrii w Polsce. https://www0.swps.pl/images/DOKUMENTY/wazne_slowa_na_P_raport_Fundacja_Pomagam_pl.pdf   Google Scholar

Laestadius, L., Bishop, A., Gonzalez, M., Illenčík, D., & Campos-Castillo, C. (2024). Too human and not human enough: A grounded theory analysis of mental health harms from emotional dependence on the social chatbot Replika. New Media & Society, 26(10), 5521–5545. https://doi.org/10.1177/14614448221142007   Google Scholar

Lecomte, T., Potvin, S., Corbière, M., Guay, S., Samson, C., Cloutier, B., Francoeur, A., Pennou, A., & Khazaal, Y. (2020). Mobile apps for mental health issues: Meta-review of meta-analyses. JMIR mHealth and uHealth, 8(5), Article e17458. https://doi.org/10.2196/17458   Google Scholar

Lin, Z., Zheng, J., Wang, Y., Su, Z., Zhu, R., Liu, R., Wei, Y., Zhang, X., & Wang, F. (2024). Prediction of the efficacy of group cognitive behavioral therapy using heart rate variability based smart wearable devices: A randomized controlled study. BMC Psychiatry, 24(1), Article 187. https://doi.org/10.1186/s12888-024-05638-x   Google Scholar

Lindegaard, T., Berg, M., & Andersson, G. (2020). Efficacy of internet-delivered psychodynamic therapy: Systematic review and meta-analysis. Psychodynamic Psychiatry, 48(4), 437–454. https://doi.org/10.1521/pdps.2020.48.4.437   Google Scholar

Lipschitz, J., Miller, C. J., Hogan, T. P., Burdick, K. E., Lippin-Foster, R., Simon, S. R., & Burgess, J. (2019). Adoption of mobile apps for depression and anxiety: Cross-sectional survey study on patient interest and barriers to engagement. JMIR Mental Health, 6(1), Article e11334. https://doi.org/10.2196/11334   Google Scholar

Löchner, J., Carlbring, P., Schuller, B., Torous, J., & Sander, L. B. (2025). Digital interventions in mental health: An overview and future perspectives. Internet Interventions, 40, Article 100824. https://doi.org/10.1016/j.invent.2025.100824   Google Scholar

Lukka, L., Vesterinen, M., Salonen, A., Bergman, V.-R., Torkki, P., Palva, S., & Palva, J. M. (2025). User journey method: A case study for improving digital intervention use measurement. BMC Health Services Research, 25(1), Article 479. https://doi.org/10.1186/s12913-025-12641-9   Google Scholar

Maciejewski, J., & Smoktunowicz, E. (2023). Low-effort internet intervention to reduce students’ stress delivered with Meta’s Messenger chatbot (Stressbot): A randomized controlled trial. Internet Interventions, 33, Article 100653. https://doi.org/10.1016/j.invent.2023.100653   Google Scholar

Malinowska, J. K. (2021). What does it mean to empathise with a robot? Minds & Machines, 31, 361–376. https://doi.org/10.1007/s11023-021-09558-7   Google Scholar

Malouin-Lachance, A., Capolupo, J., Laplante, C., & Hudon, A. (2025). Does the digital therapeutic alliance exist? Integrative review. JMIR Mental Health, 12, Article e69294. https://doi.org/10.2196/69294   Google Scholar

Marcolino, M. S., Oliveira, J. A. Q., D’Agostino, M., Ribeiro, A. L., Alkmim, M. B. M., & Novillo-Ortiz, D. (2018). The impact of mHealth interventions: Systematic review of systematic reviews. JMIR mHealth and uHealth, 6(1), Article e8873. https://doi.org/10.2196/mhealth.8873   Google Scholar

Mohr, D. C. (2024). Standards for randomized controlled trials of efficacy of psychological treatments. World Psychiatry, 23(2), 286–287. https://doi.org/10.1002/wps.21207   Google Scholar

Mohr, D. C., Spring, B., Freedland, K. E., Beckner, V., Arean, P., Hollon, S. D., Ockene, J., & Kaplan, R. (2009). The selection and design of control conditions for randomized controlled trials of psychological interventions. Psychotherapy and Psychosomatics, 78(5), 275–284. https://doi.org/10.1159/000228248   Google Scholar

Myin-Germeys, I., Schick, A., Ganslandt, T., Hajdúk, M., Heretik, A., Hoyweghen, I. V., Kiekens, G., Koppe, G., Marelli, L., Nagyova, I., Weermeijer, J., Wensing, M., Wolters, M., Beames, J., Allegri, M. de, Folco, S. di, Durstewitz, D., Katreniaková, Z., Lievevrouw, E., … Reininghaus, U. (2024). The experience sampling methodology as a digital clinical tool for more person-centered mental health care: An implementation research agenda. Psychological Medicine, 54(11), 2785–2793. https://doi.org/10.1017/S0033291724001454   Google Scholar

Peters, S., Guccione, L., Francis, J., Best, S., Tavender, E., Curran, J., Davies, K., Rowe, S., Palmer, V. J., & Klaic, M. (2024). Evaluation of research co-design in health: A systematic overview of reviews and development of a framework. Implementation Science, 19(1), Article 63. https://doi.org/10.1186/s13012-024-01394-4   Google Scholar

Pihlaja, S., Stenberg, J.-H., Joutsenniemi, K., Mehik, H., Ritola, V., & Joffe, G. (2018). Therapeutic alliance in guided internet therapy programs for depression and anxiety disorders — a systematic review. Internet Interventions, 11, 1–10. https://doi.org/10.1016/j.invent.2017.11.005   Google Scholar

Prentice, C., Peven, K., Zhaunova, L., Nayak, V., Radovic, T., Klepchukova, A., Potts, H., & Ponzo, S. (2024). Methods for evaluating the efficacy and effectiveness of direct-to-consumer mobile health apps: A scoping review. BMC Digital Health, 2, Article 31. https://doi.org/10.1186/s44247-024-00092-x   Google Scholar

Prochaska, J. J., Vogel, E. A., Chieng, A., Kendra, M., Baiocchi, M., Pajarito, S., & Robinson, A. (2021). A therapeutic relational agent for reducing problematic substance use (Woebot): Development and usability study. Journal of Medical Internet Research, 23(3), Article e24850. https://doi.org/10.2196/24850   Google Scholar

Rief, W., Asmundson, G. J. G., Bryant, R. A., Clark, D. M., Ehlers, A., Holmes, E. A., McNally, R. J., Neufeld, C. B., Wilhelm, S., Jaroszewski, A. C., Berg, M., Haberkamp, A., & Hofmann, S. G. (2024). The future of psychological treatments: The Marburg Declaration. Clinical Psychology Review, 110, Article 102417. https://doi.org/10.1016/j.cpr.2024.102417   Google Scholar

Ritterband, L. M., Gonder-Frederick, L. A., Cox, D. J., Clifton, A. D., West, R. W., & Borowitz, S. M. (2003). Internet interventions: In review, in use, and into the future. Professional Psychology: Research and Practice, 34(5), 527–534. https://doi.org/10.1037/0735-7028.34.5.527   Google Scholar

Rogala, A., Smoktunowicz, E., Żukowska, K., Kowalska, M., & Cieślak, R. (2016). The helpers’ stress: Effectiveness of a web-based intervention for professionals working withtrauma survivors in reducing job burnout and improving work engagement. Medycyna Pracy. Workers’ Health and Safety, 67(2), 223–237. https://doi.org/10.13075/mp.5893.00220   Google Scholar

Schlieter, H., Kählig, M., Hickmann, E., Fürstenau, D., Sunyaev, A., Richter, P., Breitschwerdt, R., Thielscher, C., Gersch, M., Maaß, W., Reuter-Oppermann, M., & Wiese, L. (2024). Digitale Gesundheitsanwendungen (DiGA) im Spannungsfeld von Fortschritt und Kritik. Bundesgesundheitsblatt – Gesundheitsforschung – Gesundheitsschutz, 67(1), 107–114. https://doi.org/10.1007/s00103-023-03804-2   Google Scholar

Seiferth, C., Vogel, L., Aas, B., Brandhorst, I., Carlbring, P., Conzelmann, A., Esfandiari, N., Finkbeiner, M., Hollmann, K., Lautenbacher, H., Meinzinger, E., Newbold, A., Opitz, A., Renner, T. J., Sander, L. B., Santangelo, P. S., Schoedel, R., Schuller, B., Stachl, C., … Löchner, J. (2023). How to e-mental health: A guideline for researchers and practitioners using digital technology in the context of mental health. Nature Mental Health, 1(8), 542–554. https://doi.org/10.1038/s44220-023-00085-1   Google Scholar

Shafran, R., Myles-Hooton, P., Bennett, S., & Öst, L.-G. (2021). The concept and definition of low intensity cognitive behaviour therapy. Behaviour Research and Therapy, 138, Article 103803. https://doi.org/10.1016/j.brat.2021.103803   Google Scholar

Scholten, S., Klintwall, L., Glombiewski, J. A., & Burger, J. (2025). Updating patient perceptions with intensive longitudinal data for enhanced case conceptualizations: An approach with Bayesian informative priors. Journal of Psychopathology and Clinical Science, 134(5), 585–599. https://doi.org/10.1037/abn0000993   Google Scholar

Sibbald, B., & Roland, M. (1998). Understanding controlled trials. Why are randomised controlled trials important? BMJ: British Medical Journal, 316(7126), Article 201. https://doi.org/10.1136/bmj.316.7126.201   Google Scholar

Siddals, S., Torous, J., & Coxon, A. (2024). “It happened to be the perfect thing”: Experiences of generative AI chatbots for mental health. npj Mental Health Research, 3, Article 48. https://doi.org/10.1038/s44184-024-00097-4   Google Scholar

Slovak, P., & Munson, S. A. (2024). HCI Contributions in mental health: A modular framework to guide psychosocial intervention design. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, 1–21. https://doi.org/10.1145/3613904.3642624   Google Scholar

Smoktunowicz, E., Barak, A., Andersson, G., Banos, R. M., Berger, T., Botella, C., Dear, B. F., Donker, T., Ebert, D. D., Hadjistavropoulos, H., Hodgins, D. C., Kaldo, V., Mohr, D. C., Nordgreen, T., Powers, M. B., Riper, H., Ritterband, L. M., Rozental, A., Schueller, S. M., … Carlbring, P. (2020). Consensus statement on the problem of terminology in psychological interventions using the internet or digital components. Internet Interventions, 21, Article 100331. https://doi.org/10.1016/j.invent.2020.100331   Google Scholar

Smoktunowicz, E., Lesnierowska, M., Carlbring, P., Andersson, G., & Cieslak, R. (2021). Resource-based internet intervention (med-stress) to improve well-being among medical professionals: Randomized controlled trial. Journal of Medical Internet Research, 23(1), Article e21445. https://doi.org/10.2196/21445   Google Scholar

Spek, V., Cuijpers, P., Nyklíček, I., Riper, H., Keyzer, J., & Pop, V. (2007). Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: A meta-analysis. Psychological Medicine, 37(3), 319–328. https://doi.org/10.1017/S0033291706008944   Google Scholar

Steubl, L., Sachser, C., Baumeister, H., & Domhardt, M. (2021). Mechanisms of change in Internet-and mobile-based interventions for PTSD: A systematic review and meta-analysis. European Journal of Psychotraumatology, 12(1), Article 1879551. https://doi.org/10.1080/20008198.2021.1879551   Google Scholar

Sumner, J., Ng, C. W. T., Teo, K. E. L., Peh, A. L. T., & Lim, Y. W. (2024). Co-designing care for multimorbidity: A systematic review. BMC Medicine, 22(1), Article 58. https://doi.org/10.1186/s12916-024-03263-9   Google Scholar

Tarricone, R., Petracca, F., Cucciniello, M., & Ciani, O. (2022). Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps. Health Economics, 31(S1), 73–97. https://doi.org/10.1002/hec.4505   Google Scholar

Tong, F., Lederman, R., D’Alfonso, S., Berry, K., & Bucci, S. (2022). Digital therapeutic alliance with fully automated mental health smartphone apps: A narrative review. Frontiers in Psychiatry, 13, Article 819623. https://doi.org/10.3389/fpsyt.2022.819623   Google Scholar

Tong, F., Lederman, R., D’Alfonso, S., Berry, K., & Bucci, S. (2023). Conceptualizing the digital therapeutic alliance in the context of mental health smartphone apps. Clinical Psychology & Psychotherapy [Advance online publication]. https://doi.org/10.1002/cpp.2851   Google Scholar

Topooco, N., Riper, H., Araya, R., Berking, M., Brunn, M., Chevreul, K., Cieslak, R., Ebert, D. D., Etchmendy, E., Herrero, R., Kleiboer, A., Krieger, T., García-Palacios, A., Cerga-Pashoja, A., Smoktunowicz, E., Urech, A., Vis, C., & Andersson, G. (2017). Attitudes towards digital treatment for depression: A European stakeholder survey. Internet Interventions, 8, 1–9. https://doi.org/10.1016/j.invent.2017.01.001   Google Scholar

Torous, J., Andersson, G., Bertagnoli, A., Christensen, H., Cuijpers, P., Firth, J., Haim, A., Hsin, H., Hollis, C., Lewis, S., Mohr, D. C., Pratap, A., Roux, S., Sherrill, J., & Arean, P. A. (2019). Towards a consensus around standards for smartphone apps and digital mental health. World Psychiatry, 18(1), 97–98. https://doi.org/10.1002/wps.20592   Google Scholar

Torous, J., Lipschitz, J., Ng, M., & Firth, J. (2020). Dropout rates in clinical trials of smartphone apps for depressive symptoms: A systematic review and meta-analysis. Journal of Affective Disorders, 263, 413–419. https://doi.org/10.1016/j.jad.2019.11.167   Google Scholar

van Lotringen, C. M., Jeken, L., Westerhof, G. J., ten Klooster, P. M., Kelders, S. M., & Noordzij, M. L. (2021). Responsible relations: A systematic scoping review of the therapeutic alliance in text-based digital psychotherapy. Frontiers in Digital Health, 3, Article 689750. https://doi.org/10.3389/fdgth.2021.689750   Google Scholar

Webb, T., Joseph, J., Yardley, L., & Michie, S. (2010). Using the internet to promote health behavior change: A systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research, 12(1), Article e1376. https://doi.org/10.2196/jmir.1376   Google Scholar

WHO (2022). World mental health report: Transforming mental health for all. https://www.who.int/publications/i/item/9789240049338   Google Scholar


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2025-12-22

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Kornacka, M., Maj, A., Szastok, M., Karkosz, S., Barnes, S., Para, M., Prescott, J., Leśnierowska, M., & Smoktunowicz, E. (2025). Evidence-Based Psychological Internet Interventions: Challenges, Best Practices, and Recommendations. Przegląd Psychologiczny, 68(4), 231–251. https://doi.org/10.31648/przegldpsychologiczny.12962

Monika Kornacka 
SWPS University, Institute of Psychology, Emotion Cognition Lab
https://orcid.org/0000-0003-2737-9236
Anna Maj 
SWPS University, Institute of Psychology, StresLab: Stress Research Center
https://orcid.org/0000-0002-6780-2265
Marta Szastok 
SWPS University, Institute of Psychology, Emotion Cognition Lab
https://orcid.org/0000-0001-7674-7651
Stanisław Karkosz 
SWPS University, Institute of Psychology
https://orcid.org/0000-0001-8413-7941
Steven Barnes 
SWPS University, Institute of Psychology, Emotion Cognition Lab
https://orcid.org/0000-0002-5114-2178
Małgorzata Para 
SWPS University, Institute of Psychology, Emotion Cognition Lab
https://orcid.org/0009-0008-7178-0063
Julie Prescott 
University of Law, Psychology Faculty
https://orcid.org/0000-0001-8612-2495
Magdalena Leśnierowska 
SWPS University, Institute of Psychology, StresLab: Stress Research Center
https://orcid.org/0000-0003-4095-8865
Ewelina Smoktunowicz 
SWPS University, Institute of Psychology, StresLab: Stress Research Center
https://orcid.org/0000-0002-1748-3876