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Record W4223644427 · doi:10.1002/cpp.2740

Which, who and when? Therapeutic processes in group cognitive behaviour therapy for anxiety disorders

2022· article· en· W4223644427 on OpenAlexafffund
Hoang Kim Luong, Pasquale Roberge, Martin D. Provencher, Christopher J. Kilby, Sean P. A. Drummond, Peter J. Norton

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversité LavalUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchMonash University
KeywordsAlliancePsychologyClinical psychologyAnxietyPsychotherapistGroup cohesivenessCognitive behavioral therapyPerceptionGroup psychotherapyCognitionPsychiatry

Abstract

fetched live from OpenAlex

The evidence for the effect of therapeutic alliance in group cognitive behaviour therapy (CBT) for anxiety disorders is unclear. Identifying whether the alliance-outcome relationship depends on (1) which components are assessed, (2) who is measuring the alliance and (3) when the alliance is measured will help to clarify the role of the client-therapist relationship in therapy. The present study explored the effects of alliance component (agreement vs. bond), rater perspective (client vs. therapist) and timing (early vs. late therapy) on the alliance-outcome relationship. Individuals with an anxiety disorder enrolled into transdiagnostic group CBT were studied, with n = 78 at early therapy and n = 57 at late therapy. Results showed that greater client-rated agreement significantly predicted improved post-treatment outcomes throughout the course of therapy, while stronger client-rated bond in late therapy predicted reduced treatment gains. In contrast, therapist perceptions of agreement and bond were not associated with post-treatment outcomes at any point in therapy. Client-reported group cohesion also was not associated with additional variance in outcome after accounting for client-rated alliance. Overall, the findings highlight the importance of prioritizing the client's perception of the client-therapist relationship in CBT for anxiety disorders, as well as distinguishing the effects of component, rater and timing in future process-outcome studies.

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)0.002
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.092
GPT teacher head0.473
Teacher spread0.381 · 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; a candidate call from one teacher head, not a consensus.

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

Citations1
Published2022
Admission routes2
Has abstractyes

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