Trial reportJournal of medical Internet research2017
Commencing and Persisting With a Web-Based Cognitive Behavioral Intervention for Insomnia: A Qualitative Study of Treatment Completers.
Trial report in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Nurse-delivered sleep restriction therapy to improve insomnia disorder in primary care: the HABIT RCT.Health technology assessment (Winchester, England) · 2024Trial
- Concepts for the Integration and Implementation of mHealth Apps for Patients With Mental Disorders: Scoping Review.Journal of medical Internet research · 2025Article
- Barriers and Facilitators of Implementing Cognitive Behavioral Therapy: A Systematic Review Based on the Consolidated Framework for Implementation.Scientifica · 2025Review
- Group-delivered cognitive behavioural therapy versus waiting list in the treatment of insomnia in primary care: study protocol for a pragmatic, multicentre randomized controlled trial.BMC primary care · 2023Article
- The experiences of depressed pregnant women participating in a cognitive behavioral therapy program via video communication: an exploratory qualitative study.Korean journal of women health nursing · 2022Article
- Feasibility of a video-based cognitive behavioral therapy for insomnia in French adult cancer outpatients: results from the Sleep-4-All-1 study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Article
- A Review of Digital Cognitive Behavioral Therapy for Insomnia (CBT-I Apps): Are They Designed for Engagement?International journal of environmental research and public health · 2021Review
- Exploring User Needs and Preferences for Mobile Apps for Sleep Disturbance: Mixed Methods Study.JMIR mental health · 2019Article
- Examining Internet and eHealth Practices and Preferences: Survey Study of Australian Older Adults With Subjective Memory Complaints, Mild Cognitive Impairment, or Dementia.Journal of medical Internet research · 2017Article
- Examining Factors of Engagement With Digital Interventions for Weight Management: Rapid Review.JMIR research protocols · 2017Article
- A Smartphone App for Adolescents With Sleep Disturbance: Development of the Sleep Ninja.JMIR mental health · 2017Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComputerized cognitive behavioral therapy for insomnia (CCBT-I) has a growing evidence base as a stand-alone intervention, but it is less clear what factors may limit its acceptability and feasibility when combined with clinical care.
objectiveThe purpose of this study was to explore barriers and facilitators to use of an adjunctive CCBT-I program among depressed patients in a psychiatric clinic by using both quantitative and qualitative approaches.
methodsWe conducted the qualitative component of the study using face-to-face or telephone interviews with participants who had enrolled in a clinical trial of a CCBT-I program as an adjunctive treatment in a psychiatric clinical setting. In line with the grounded theory approach, we used a semistructured interview guide with new thematic questions being formulated during the transcription and data analysis, as well as being added to the interview schedule. A range of open and closed questions addressing user experience were asked of all study participants who completed the 12-week trial in an online survey.
resultsThree themes emerged from the interviews and open questions, consistent with nonadjunctive CCBT-I implementation. Identification with the adjunctive intervention's target symptom of insomnia and the clinical setting were seen as key reasons to engage initially. Persistence was related to factors to do with the program, its structure, and its content, rather than any nonclinical factors. The survey results showed that only the key active behavioral intervention, sleep restriction, was rated as a major problem by more than 15% of the sample. In this clinical setting, the support of the clinician in completing the unsupported program was highlighted, as was the need for the program and clinical treatment to be coordinated.
conclusionsThe use of a normally unsupported CCBT-I program as an adjunctive treatment can be aided by the clinician's approach. A key behavioral component of the intervention, specific to insomnia treatment, was identified as a major problem for persistence. As such, clinicians need to be aware of when such components are delivered in the program and coordinate their care accordingly, if the use of the program is to be optimized. CLINICALTRIAL: Australian and New Zealand Clinical Trials Registry ACTRN12612000985886; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=362875&isReview=true (Archived by WebCite at http://www.webcitation.org/6njjhl42X).
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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.