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Record W4311202295 · doi:10.1002/cpp.2816

The moderating and mediating role of telepresence and cognitive change in cognitive behaviour therapy delivered via videoconference

2022· article· en· W4311202295 on OpenAlexafffund
Stéphane Bouchard, Maxine Berthiaume, Geneviève Robillard, Micheline Allard, Isabelle Green‐Demers, Stéphanie Watts, André Marchand, Patrick Gosselin, Frédèric Langlois, Geneviève Belleville, Michel J. Dugas

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversité LavalUniversité du Québec à Trois-RivièresUniversity of OttawaInnovation, Science and Economic Development CanadaUniversité de SherbrookeUniversité du Québec à MontréalCégep de l'OutaouaisUniversité du Québec en Outaouais
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsPsychologyAllianceAgoraphobiaCognitionAnxietyCognitive therapyPsychotherapistDysfunctional familyPanic disorderCognitive behavioral therapyClinical psychologySession (web analytics)Cognitive restructuringPsychiatry

Abstract

fetched live from OpenAlex

In this study, we combined the results of two controlled trials and examined the relationships between working alliance, telepresence, cognitive change and treatment outcome. Sixty-five participants with a primary diagnosis of generalized anxiety disorder (GAD) or panic disorder with agoraphobia (PDA) received cognitive behaviour therapy delivered via videoconference. Participants completed measures of working alliance and telepresence after three psychotherapy sessions. They also completed measures of treatment outcome and dysfunctional beliefs (cognitive change) specific to PDA and GAD at pretreatment and posttreatment. Results revealed that telepresence at the fifth session moderated the relationship between the working alliance at the first and fifth sessions. As telepresence increased, its impact on the working alliance diminished. Cognitive change mediated the relationship between the working alliance at the fifth session and treatment outcome.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.155
GPT teacher head0.494
Teacher spread0.339 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations7
Published2022
Admission routes2
Has abstractyes

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