Trauma-Informed Care Interventions Used in Pediatric Inpatient or Residential Treatment Mental Health Settings and Strategies to Implement Them: A Scoping Review
Bibliographic record
Abstract
Trauma-informed care (TIC) is an approach to care emerging in research and in practice that involves addressing the needs of individuals with histories of trauma. The aim of this scoping review was to examine the current literature relating to TIC interventions used in pediatric mental health inpatient and residential settings. We sought to answer the following two research questions: (a) What are the TIC interventions used in pediatric inpatient and residential treatment mental healthcare settings and what are their components? and (b) What are the implementation goals and strategies used with these TIC interventions? We conducted this scoping review according to JBI (formerly Joanna Briggs Institute) methodology for scoping reviews. We included any primary study describing a TIC intervention that was implemented at a specific site which identified and described implementation strategies used. Of 1,571 identified citations and 54 full-text articles located by handsearching, 49 met the eligibility criteria and were included, representing 21 distinct TIC interventions. We present the reported aim, ingredients, mechanism, and delivery (AIMD) of TIC interventions as well as the implementation goals and strategies used, which varied in detail, ranging from very little information to more detailed descriptions. In the context of these findings, we emphasize the complexity of TIC and of TIC interventions, and the importance of identifying and clearly reporting TIC intervention goals, intervention details, and implementation strategies. We suggest applying intervention frameworks or reporting guidelines to support clear and comprehensive reporting, which would better facilitate replication and synthesis of published TIC interventions.
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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 | 0.046 | 0.172 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.020 | 0.021 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".