Feasibility and Acceptability of Implementing a Transdiagnostic Cognitive Behavioral Therapy for Children Impacted by Trauma Within a Residential Treatment Facility
Bibliographic record
Abstract
The Unified Protocol (UP) is a flexible, transdiagnostic form of cognitive behavioral therapy that effectively treats diverse psychiatric conditions in children, adolescents and adults. However, the UP has not been rigorously evaluated among children who have experienced severe trauma and may have limited caregiver involvement in their life. The present research project was a single arm, open trial examining the feasibility of utilizing the UP within a residential treatment facility in Calgary, Canada for children involved with child welfare authorities who often have limited caregiver involvement. Children (n = 19; age 9–13) and their caregivers (n = 18; age 32–60) participated in 15 weekly therapy sessions of the UP for Children with minor structural and content modifications. Trauma exposure was high among children, especially physical neglect and emotional abuse (89% exposed to each). Fidelity to the manualized intervention was high (88% for children; 89% for caregivers), indicating the intervention was feasible to deliver and that the adaptations did not interfere with fidelity. All children and caregivers completed the intervention, suggesting high acceptability for recipients. Improvements over time in maladaptive cognitions and behaviors (among children and caregivers) provide preliminary evidence for efficacy. The present study provides support for the notion that the UP for Children can be utilized for children who live in residential care and/or those who have experienced high levels of trauma.
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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 | 0.031 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".