ArticleNature and science of sleep2025
Who is the "Therapist" in Digital Cognitive Behavioural Therapy for Insomnia (dCBTi)?
Article in Nature and science of sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A Scoping Review of Large Language Models in Personal Sleep Wellness.Mayo Clinic proceedings. Digital health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognitive Behavioural Therapy for insomnia (CBTi) is a highly effective, evidence-based intervention, increasingly delivered through digital platforms. However, the human qualities embedded in traditional face-to-face CBTi (such as empathy, clinical judgement, and personalised encouragement) are difficult to replicate digitally. Digital CBTi is often treated as a single therapeutic modality, yet approaches vary significantly in the extent and nature of human support provided, raising important questions about the identity and role of the "therapist" in digital care. This perspectives paper explores the critical role of human support in digital CBTi and examines different models for integrating human input into digital care pathways. The authors argue that while digital CBTi offers scalable and accessible treatment for insomnia, that the inclusion of trained human support remains a vital component for maximising engagement, personalisation, and long-term clinical outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.