Features and functionality of the Iterapi platform for internet-based psychological treatments: An update
2026 (English)In: Internet Interventions, ISSN 2214-7829, Vol. 45, article id 100955
Article in journal (Refereed) Published
Abstract [en]
Internet-based cognitive behaviour therapy (ICBT) is now a well-established treatment modality supported by numerous controlled trials. Platforms for delivering these interventions have become critical infrastructure for both research and clinical practice, yet platform descriptions remain rare in the literature. In this article, we provide an updated description of the Iterapi platform, originally reported by Vlaescu et al., 2016. Over the past decade, Iterapi has been used in more than 100 published research studies, spanning over 35 clinical conditions (including depression, anxiety disorders, insomnia, tinnitus, loneliness, and climate anxiety) across at least 20 countries on five continents. We describe the platform's core architecture and functionality, including treatment modules, questionnaire systems, communication tools, and automation features. We also report on significant developments since 2016, including enhanced security and regulatory compliance (GDPR, data protection impact assessments), new features for ecological momentary assessment, electronic identification and incorporation of artificial intelligence. Finally, we outline future directions including mobile application development, digital phenotyping, just-in-time adaptive interventions, and the role of emerging regulatory frameworks. This update is intended as a practical resource for researchers and clinicians considering platform-based delivery of internet interventions.
Place, publisher, year, edition, pages
Elsevier, 2026. Vol. 45, article id 100955
Keywords [en]
Internet-based cognitive behaviour therapy, ICBT, Digital mental health, Treatment platform, Artificial intelligence, Iterapi
National Category
Applied Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:ltu:diva-117834DOI: 10.1016/j.invent.2026.100955ISI: 001781852300001Scopus ID: 2-s2.0-105039648171OAI: oai:DiVA.org:ltu-117834DiVA, id: diva2:2065554
Note
Full text: CC BY license;
For funding information, see: https://doi.org/10.1016/j.invent.2026.100955
2026-06-032026-06-032026-06-10Bibliographically approved