School Re-Entry of Adolescent Patients Discharged fromPsychiatric Hospital: One Step in Continuous QualityImprovement
Bibliographic record
Abstract
Objective: School re-entry following hospitalization for psychiatric care has been reported as difficult for many adolescent patients. Continuous quality improvement initiatives may improve programming to enhance school re-entry experiences. The purpose for this study was to explore the school re-entry perspectives of the youth discharged from a psychiatric inpatient unit after implementing programs that patients previously identified as needed. Methods: A survey was administered to the youth about one month after discharge to gather their perspective of their school re-entry, along with self-rated resilience and stress. Results: Twenty-six youth (23%) participated in the post-discharge survey who reported a mean age of 15.6 years (SD 1.0), 77% identified as female, 13 (50%) provided very positive re-entry comments, eight (31%) reported moderately positive experiences, and five (19%) reported a very poor school re-entry. Mean perceived resilience (4.01, SD 0.6) and stress (3.42, SD 0.8) scores suggest youth thought they had good resilience and moderate stress. Conclusions: Most youth reported a good school re-entry. Considerable concerns remain for the 19% who reported a poor school re-entry who may benefit from specialized outpatient or day programming post-discharge before attempting a return to school. Future directions for research are provided.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".