Subjective distress, self-harm, and suicidal ideation or behavior throughout trauma-focused cognitive-behavioral therapy in transitional age youth.
Bibliographic record
Abstract
OBJECTIVE: Elevations in distress, self-harm, and suicidal ideation or behavior are of significant concern in clinical practice. We examined these in a pilot trial of Trauma Focused-Cognitive Behavioral Therapy (TF-CBT) for transitional age youth (aged 15-25 years) with histories of interpersonal trauma and symptoms of posttraumatic stress disorder. METHOD: = 19.5 years) from a pilot study of TF-CBT. Frequencies of elevated distress, self-harm, and suicidal ideation or behavior were measured throughout treatment sessions and across the treatment phases of TF-CBT. RESULTS: Across the 279 sessions of TF-CBT (m = 15.5 sessions), there were 16 incidents of elevated distress in seven participants (i.e., six in Phase I and five each in Phases II and III); 15 incidents of self-harming behavior in seven participants (five incidents in each of the three phases) and one incident of both elevated distress and suicide ideation (Phase I). CONCLUSION: Findings indicate that there may be a relationship between the experience of in session distress and self-harming behaviors. The importance of safety planning and coping skills (acquired in Phase 1) is stressed to ensure the effective implementation of TF-CBT. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".