Discharge Transition and Self-Regulation of Youth Between 15 and 24 Years of Age with Mental Illness
Bibliographic record
Abstract
The consequences for youth with mental illness are particularly acute and many experience crises that precipitate admission to hospital. When these youth are discharged, continuity of care is a key factor in a positive transition experience. Following discharge, youth require a form of social scaffolding to help them transfer their adaptive coping and self-regulation skills from the cool cognition of the hospital to the potentially hot cognition of their community. Recent research on the brain has demonstrated the importance of neuroplasticity during the period between the onset of puberty and adulthood. This period may be viewed as a window of both risk and opportunity. Risk, because the young person’s ability to make rational decisions is often adversely affected by his or her intense emotions. Opportunity, because the rapid growth of the brain during adolescence is strongly affected by the youth’s social environment, and this growth does not wane until after young adulthood. Thus, an understanding of the process of self-regulation of youth with mental illness in the context of discharge is essential for a successful discharge transition program. And yet, literature on the process of self-regulation in the context of discharge from the perspective of youth with mental illness is lacking. Using a grounded theory approach, this research study revealed the challenges and strengths experienced by youth in this process. Potential implications for practice included identifying and implementing strategies for addressing gaps in current programs, and directions for future research were discussed.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".