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Record W2606560768 · doi:10.1002/capr.12125

Psychotherapists' ideals in the treatment of panic disorder: An exploratory study

2017· article· en· W2606560768 on OpenAlexaff
David Kealy, Geoff Goodman, John S. Ogrodniczuk

Bibliographic record

VenueCounselling and Psychotherapy Research · 2017
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPanic disorderPsychotherapistPsychologyPanicPsychodynamicsIntervention (counseling)Clinical psychologyExploratory researchPsychiatryAnxiety

Abstract

fetched live from OpenAlex

Abstract Background Considerable empirical research supports psychotherapy as an effective intervention for panic disorder. Less evidence is available regarding clinicians' perspectives on the ideal therapy processes that should be prioritized when treating panic disorder. Aims The purpose of this study was to explore psychotherapists' process priorities and points of consensus and disagreement concerning the treatment of panic disorder. Material & Methods Thirty‐four psychotherapists reviewed a prototype description of a hypothetical client with panic disorder, and rank‐ordered ideal process features using a forced‐choice, 100‐item measure. The resulting composite therapy process was compared with expert‐rated CBT and psychodynamic process ratings. Results Several points of agreement and disagreement emerged regarding ideal therapy process for panic disorder. Overall, therapists' ratings were closely aligned with CBT process, though therapy relationship ideals were prominent. Discussion Research can illuminate therapy processes valued by clinicians for the treatment of particular disorders. Conclusion While therapists' ratings were overall associated with CBT ideals, common factors concerning the therapy relationship emerged as prominent and agreed‐upon processes in the treatment of panic disorder.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.213
GPT teacher head0.519
Teacher spread0.306 · 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.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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