Clinician and educator experiences of facilitating students’ transition back to school following acquired brain injury: A qualitative systematic review
Bibliographic record
Abstract
OBJECTIVE: Transition back to school following paediatric acquired brain injury (ABI) is complex. It must be facilitated by healthcare and educational professionals, who need to work together to return affected students to learning. This qualitative systematic review synthesizes qualitative studies on clinicians' and educators' experiences of facilitating hospital-to-school transitions following ABI. METHODS: A search was conducted using seven electronic databases (CINAHL, Cochrane, EMBASE, ERIC, HealthSTAR, MEDLINE, PsycINFO) and key resources were manually reviewed. Publications selected for inclusion had a sample of clinicians and/or educators who worked with children/youth with ABI and focused on hospital-to-school transition processes from the professionals' perspectives. RESULTS: The initial search returned 4761 publications. Of those, 10 met the inclusion criteria. Six main themes emerged across those publications. Three related to transition barriers: (1) lack of training and education regarding transition processes; (2) lack of communication between stakeholders; and (3) lack of preparation for transition. The remaining three presented items that both facilitate and/or impede the transition process: (4) supports available; (5) linking agents; and (6) policies and procedures guiding transition. CONCLUSIONS: Clinicians and educators called for collaboration and communication to support students' transition back to school. Further inquiry into designated linking agents and policies that facilitate hospital-to-school transitions for students following ABI may address these lacking areas.
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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 | 0.059 | 0.127 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 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".