ArticleThe Clinical journal of pain2018
Predictors of Adherence to Psychological Treatment for Insomnia and Pain: Analysis from a Randomized Trial.
Article in The Clinical journal of pain, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses 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, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- The effectiveness of digital therapeutics in improving sleep quality: a systematic review and network meta-analysis.BMC medicine · 2026Pooled it
- Tuina combined with other therapies for treating insomnia: a systematic review and network meta-analysis.Frontiers in neurologyPooled it
- Prevention of Pain Interference in Insomnia Patients via Digital Cognitive-Behavioral Therapy for Insomnia.Behavioral sleep medicineTrial
- Awareness, Use and Acceptability of Infant Behavioural Sleep Interventions: An Initial Exploration Among Caregivers Residing in Five Countries.Journal of sleep research · 2026Article
- Barriers and Facilitators of Sleep Restriction Therapy in Internet-Delivered CBT-I: A Qualitative Content Analysis and the Development of a Treatment Path Model.Journal of sleep research · 2025Article
- Pain-related beliefs about sleep as a predictor of insomnia symptoms and treatment acceptability.Sleep medicine · 2022Article
- Efficacy of a digital cognitive behavioral therapy for insomnia in people with low back pain: a feasibility randomized co-twin and singleton-controlled trial.Pilot and feasibility studies · 2022Article
- Adherence to and the Maintenance of Self-Management Behaviour in Older People with Musculoskeletal Pain-A Scoping Review and Theoretical Models.Journal of clinical medicine · 2021Article
- Use of the Consumer-Based Meditation App Calm for Sleep Disturbances: Cross-Sectional Survey Study.JMIR formative research · 2020Article
- Outpatient and self-referred participants: Adherence to treatment components and outcome in an internet intervention targeting anxiety disorders.Internet interventions · 2020Article
- Barriers to Behavioral Treatment Adherence for Headache: An Examination of Attitudes, Beliefs, and Psychiatric Factors.Headache · 2019Review
- Tele-yoga for Chronic Pain: Current Status and Future Directions.Global advances in health and medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
objectivesPoor adherence to psychological treatment for insomnia is common and limits treatment gains. Very little is known about predictors of adherence among patients with chronic pain, although adherence is theorized to be more critical and more challenging for these patients. This secondary data analysis examines predictors of drop-out and therapy nonattendance in an osteoarthritis population receiving psychological treatment for insomnia and pain.
methodsData were analyzed from the "Lifestyles" trial, a randomized controlled trial of a 6-week group cognitive behavioral pain coping skills intervention (CBT-P), group cognitive-behavioral therapy for pain and insomnia (CBT-PI), and an education only attention control group (EOC). The current analysis focuses on 122 participants randomized to CBT-PI from 6 primary care clinics. Measures of treatment acceptability, demographics, and symptoms were collected at baseline. Factor analysis was used to clarify the boundaries of these domains, and hierarchical regression was used to examine the incremental predictive power of these patient characteristics on therapy attendance.
resultsRatings of treatment acceptability were distinct from demographic and medical variables and baseline symptoms. Treatment acceptability was significantly related to session attendance and drop-out (rs ranging from 0.24 to 0.32) and was also one of the strongest predictors of session attendance (β=0.20; P<0.05). DISCUSSION: Perceptions of treatment acceptability early in treatment represent a potentially modifiable target to enhance adherence to psychological treatment for insomnia and pain among patients with chronic pain. This work represents an important step towards understanding how to best maximize sleep treatments for this patient population.
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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.