The Child and Family Traumatic Stress Intervention in Canadian child and youth advocacy centres
Bibliographic record
Abstract
Background: The Child and Family Traumatic Stress Intervention (CFTSI) is an evidence-based early intervention shown to reduce post-traumatic stress in children and adolescents. This intervention has not been explored in the context of the Canadian healthcare landscape, and more specifically at Child and Youth Advocacy Centres (CYACs); multi-disciplinary service hubs who serve those exposed to trauma. Objective: Examine the feasibility and usefulness of the CFTSI in the context of Canadian CYACs. Methods: A mixed-methods design was utilized, consisting of a validated, nationally distributed online survey which served as an environmental scan, and key informant interviews, which were thematically analyzed. Results: 15 of 29 invited centres participated. Prior to this study, six of 15 respondents had been aware of the CFTSI. Furthermore, two participants reported current use of the CFTSI. Of the 13 centres not using it, 10 expressed that the CFTSI would be an acceptable and relevant intervention at their centre, and there was significant interest in possible future implementation. Interviews with experienced clinicians revealed benefits and challenges of the CFTSI’s format, and the influence of family structure, culture and trauma history on outcomes. Finally, some considerations specific to Canadian centres were uncovered and direction for future research suggested. Conclusion: Our findings collectively underscore the potential of the CFTSI to bolster mental health services, which are a priority area requiring improvement at Canadian CYACs. Additionally, this study highlights benefits and challenges relevant to Canadian practice and wide-spread implementation of the CFTSI in this country.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".