MétaCan
Menu
Back to cohort
Record W4377824531 · doi:10.1177/00110000231166103

Elucidating the Elements of Clinical Case Consultation in Cognitive Processing Therapy

2023· article· en· W4377824531 on OpenAlexafffund
Meredith S. H. Landy, Esztella Vezer, Sheena Bance, Taylor Loskot, Jennifer Ip, Ariella P. Zeifman, Christina Mutschler, Fiona C. Thomas, Kelly McShane, Candice M. Monson, Shannon Wiltsey Stirman

Bibliographic record

VenueThe Counseling Psychologist · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychiatric care and mental health services
Canadian institutionsCentre for Addiction and Mental HealthToronto Metropolitan UniversityMindFuel
FundersCanadian Institutes of Health Research
KeywordsConceptualizationPsychologyThematic analysisClinical supervisionCognitionDirectivePsychotherapistCognitive restructuringCognitive processing therapyMental healthClinical psychologyPsychiatryQualitative research

Abstract

fetched live from OpenAlex

Research shows the value of consultation following training in Cognitive Processing Therapy (CPT), a frontline psychotherapy for posttraumatic stress disorder; however, the elements of successful CPT consultation are not delineated. This study’s aim was to elucidate the elements of successful consultation in CPT. Participants ( N = 41) were mental health clinicians, including psychologists, social workers, nurses, and psychiatrists, and consultants ( N = 4), who provided clinical case consultation. The clinicians participated in group clinical case consultation for 6 months following their workshop participation. Thirty audio recorded consultation calls were analyzed using thematic analysis. Elements were identified and organized according to the following themes: Organization, Knowledge Consolidation, Case Conceptualization, Directive Instruction, Nondirective Instruction, and Provision of Feedback. Important next steps include: (a) developing a model positing how the elements of successful clinical case consultation in CPT fit together and (b) identifying its mechanisms.

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)0.005
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.217
GPT teacher head0.538
Teacher spread0.321 · 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 designOther design
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

Citations2
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueThe Counseling PsychologistSame topicPsychiatric care and mental health servicesFrench-language works237,207