ArticleSleep health2023
Patient perspectives on facilitators and barriers to equitable engagement with digital CBT-I.
Article in Sleep health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Prevention of Pain Interference in Insomnia Patients via Digital Cognitive-Behavioral Therapy for Insomnia.Behavioral sleep medicineTrial
- Digital communication tools used to promote healthy lifestyles: an overview of reviews from the BRIDGE project.Frontiers in digital health · 2026Review
- Attitudes and barriers to mobile mental health interventions among first-year college students: a mixed-methods study.Journal of American college health : J of ACH · 2025Article
- Application of the Supportive Accountability Model in Digital Health Interventions: Scoping Review.Journal of medical Internet research · 2025Article
- Cancer survivors' acceptability and perspectives on engagement with digital cognitive-behavioral therapy for insomnia: a mixed methods perspective.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Applying therapist-guided digital cognitive behavioral therapy for insomnia in psychiatry: a mixed-methods process evaluation.BMC psychiatry · 2025Article
- Who is the "Therapist" in Digital Cognitive Behavioural Therapy for Insomnia (dCBTi)?Nature and science of sleep · 2025Article
- Synergistic acupuncture and neuromodulation for chronic insomnia: a structured narrative review with systematic search and future directions.Frontiers in neurology · 2025Review
- Patient perceptions of digital and therapist-led CBT for insomnia: A qualitative study.Behavioral sleep medicineArticle
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 at 1 institution in 1 country.
Funding
Abstract
STUDY
objectivesDigital cognitive behavioral therapy for insomnia has significant advantages for dissemination and scalability vs. in-person cognitive behavioral therapy for insomnia and is, therefore, well-positioned to be the first-line intervention for insomnia. However, only about half of patients remit following digital cognitive behavioral therapy for insomnia. Evidence suggests that treatment engagement is a critical driver of digital cognitive behavioral therapy for insomnia effectiveness, and barriers to engagement disproportionately impact people from under-resourced communities. For digital cognitive behavioral therapy for insomnia to be effective and scalable, we need to identify facilitators and barriers to digital cognitive behavioral therapy for insomnia engagement.
methodsResponses from an exit survey about participant experiences with digital cognitive behavioral therapy for insomnia were analyzed using mixed methods. The survey included quantitative measures of treatment engagement and a free-response item, which was coded and analyzed for themes using both inductive and deductive approaches.
resultsAnalyses revealed five themes that were relevant for engagement: (1) digital person-to-person components, (2) type and extent of information, (3) user's sense of autonomy, (4) app functionality, and (5) importance of tailored content. Facilitators included enjoyment of digital cognitive behavioral therapy for insomnia elements, particularly those that enhanced a sense of connection (eg, a digital therapist avatar); content presented clearly and at an appropriate pace; and smooth app functionality. Barriers included desire for additional human support, perception that digital cognitive behavioral therapy for insomnia did not account for clinical complexities, and factors that interfered with implementation of key treatment recommendations.
conclusionMany barriers and facilitators are influenced by health literacy and technological literacy. Those with access to health and technological literacy are better equipped to engage with digital cognitive behavioral therapy for insomnia. Recommendations for adaptations and enhancements are discussed.
Indexed as
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What OpenQuestion holds
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.