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Record W4399723329 · doi:10.32920/26052865.v1

Adjunct Goal Clarification Session to Increase Early Treatment Adherence to Cognitive Behavioural Therapy for Insomnia

2024· preprint· en· W4399723329 on OpenAlexaff
Aleksandra Usyatynsky

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsToronto Metropolitan UniversityQueen's University
Fundersnot available
KeywordsAdjunctInsomniaSession (web analytics)PsychotherapistPsychologyCognitionChronic insomniaCognitive behavioral therapy for insomniaClinical psychologyCognitive behavioral therapyMedicinePsychiatryComputer scienceSleep disorder

Abstract

fetched live from OpenAlex

Insomnia is a severe clinical problem with a multitude of individual and societal consequences. Cognitive behavioural therapy for insomnia (CBT-I) is the gold standard treatment (National Institutes of Health, 2005); however, with response rates ranging from 67 to 75% (Harvey et al., 2014; Sunnhed et al., 2020) there remains room for improvement. Suboptimal patient adherence to CBT-I is one purported mechanism that may diminish treatment outcomes (Matthews et al., 2013). To address this problem, a 1-hour adjunct intervention to the first treatment session of CBT-I was created for the present study, theoretically derived to target early treatment adherence. To test the efficacy of this adjunct, this study compared an intervention group to a control group on their degrees of adherence to therapy recommendations following the first treatment session. Several predictors of adherence were evaluated. Method. Eligible individuals with insomnia disorder (N = 50) were randomly assigned to groups. Prior to the first treatment session, participants in the Goal Clarification group received the 1-hour adjunct session and the control group received a 1-hour general information session. Following treatment session one, participants completed questionnaires assessing treatment readiness, ambivalence, therapeutic alliance, expectations, and perceived barriers. Adherence to specific behavioural strategies was assessed over the following two weeks using a modified version of the Adherence to Behavioural Strategies coding scheme (Tremblay et al., 2009). Results. The control group was significantly more adherent to the recommendation of using the bed only for sleep. No group differences were found on any other adherence index. Groups did not differ in readiness, ambivalence, therapeutic alliance, expectations, or perceived barriers. Of the expected predictors of adherence, treatment acceptability and ambivalence were the only factors that explained a significant amount of the variance in two adherence indices; however, the relationship for treatment acceptability and adherence was negative. Discussion. There are multiple ways to interpret these findings in the context of past literature, such as suboptimal variables being selected as intervention targets to improve participant adherence. However, conclusions are limited due to low statistical power. Further research into interventions for treatment non-responders, rather than improvements to existing CBT-I protocols, is encouraged.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.173
GPT teacher head0.470
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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