Trauma-Informed Care as a Promising Avenue for Supporting the Transition to Adulthood Among Trauma-Exposed Youth: A Scoping Review
Bibliographic record
Abstract
Background/Objectives: Childhood trauma has a documented impact on development, and may also affect functioning and well-being in transition-age youth (TAY). There is a need to explore approaches, such as trauma-informed care (TIC), to enhance the services provided during the transition to adulthood. The objective of this scoping review was to explore the extent of the literature on the potential of TIC for supporting TAY. Methods: We focused on initiatives grounded in TIC to support TAY between the ages of 14 and 25 who have histories of trauma. The search strategy involved nine databases and the gray literature. The titles, abstracts, and full text were screened in duplicate by reviewers, and then data were extracted. Results: A total of 19 references were included and classified into three categories: (1) importance of TIC to support TAY (k = 5); (2) description of TIC initiatives (k = 6); and (3) evaluation of TIC initiatives supporting TAY (k = 2). Seven references were classified into more than one category. The references documented 10 TIC models or initiatives, half of which were evaluated and showed promising results. Important components of TIC initiatives supporting TAY included staff training and support; collaborative and multidisciplinary work; systemic changes; addressing trauma and its impacts; and a strength-based and youth-focused approach. Conclusions: The review emphasizes the importance of acknowledging and responding to trauma and its impact in TAY and advances the core components of TIC in the context of the TA, including its systemic nature. Although we cannot conclude that TIC is effective in supporting the TA at the moment—given that the literature is still in its early stages—the review shows that it is at least promising. Limitations, as well as future lines of work are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".