Elucidating the Elements of Clinical Case Consultation in Cognitive Processing Therapy
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".