Trial reportYonsei medical journal2025
Impact of Adherence to Digital Cognitive Behavioral Therapy for Insomnia Effectiveness.
Trial report in Yonsei medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
A Randomized, Double-blinded, Sham-controlled Clinical Trial to Evaluate the Safety and Efficacy of Digital Cognitive Behavioral Therapy for Insomnia
A Multicenter, Randomized, Double-blinded, Sham-controlled Clinical Trial to Evaluate the Safety and Efficacy of Digital Cognitive Behavioral Therapy for Insomnia
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effectiveness of digital therapeutics in improving sleep quality: a systematic review and network meta-analysis.BMC medicine · 2026Pooled it
- SleepPathfinder: A Socratic Questioning and Self-Decision-Based Chatbot to Support User Engagement in Digital CBT-I: Usability and Feasibility Study.JMIR formative research · 2026Article
- Analysis of the correlation between the degree of sleepiness and the therapeutic effect in patients with insomnia disorder treated with digital cognitive behavioral therapy.Frontiers in psychiatry · 2026Article
- Promoting Rehabilitation Using a Multimodal Internet of Things-Based Patient Monitoring System in a Smart Hospital.IEEE journal of translational engineering in health and medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purposeAlthough digital cognitive behavioral therapy for insomnia (dCBT-I) offers a promising solution to the accessibility limitations of traditional face-to-face CBT-I, few studies have examined dCBT-I against a sham app and adherence issues remain. This study assessed the efficacy of dCBT-I compared with a sham app and investigated whether adherence predicts sleep outcomes. MATERIALS AND
methodsIn this combined analysis of two multicenter, double-blind, sham-controlled randomized controlled trials, 120 patients with insomnia were randomized to use the dCBT-I app (n=60) or a sham app (n=60). The primary outcome was the change in sleep efficiency (SE) from baseline after the 6-week intervention. The relationship between adherence to sleep restriction therapy (SRT) and sleep outcomes post-intervention was assessed.
resultsAfter adjusting for age, sex, sleep medication use, and baseline levels of each outcome variable, the dCBT-I group demonstrated better treatment outcomes than the sham app group, with significant improvements of 7.69% in SE [95% confidence interval (CI), 3.09% to 12.30%;
conclusionThis combined analysis demonstrates the efficacy of dCBT-I in improving sleep outcomes compared with a sham app and highlights the role of adherence to SRT in enhancing treatment efficacy. The two studies were registered with ClinicalTrials.gov (NCT05822999, NCT05809544).
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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.