A complex transition: lessons learned as three young adults with complex care needs transition from an inpatient paediatric hospital to adult community residences
Bibliographic record
Abstract
BACKGROUND: Whether young adults with complex care needs live at home with their family, in institutional or group home settings finding appropriate care as they transition from paediatric to adult systems can be difficult. Our objective was to understand the experiences, barriers and enablers entailed in transitioning three young adults with complex care needs from an institutional paediatric hospital setting to an adult community residence. METHOD: A descriptive design involving in-depth, semi-structured, qualitative interviews and a review of 14 h of meeting minutes. Interviews were conducted over the phone, in participants' homes, and at a paediatric rehabilitation hospital. Twenty-three participants, including 10 clinicians, 11 community partners, two young adults (21-23 years old) with complex care needs from [metropolitan area] Ontario, Canada. RESULTS: Our findings indicate that clinicians, community partners and young adults with complex care needs encountered several enablers and barriers influencing their transition from a paediatric hospital to adult supportive housing. Enablers included structural factors (leadership, advocacy, timing/funding), availability of care (inter-agency partnerships), organization of care (model of care, inter-professional teamwork, extension of roles), and relational factors (communication, development of trust and rapport, family involvement). Barriers included structural factors (timing, funding), availability of care (appropriateness of housing), organization of care (changes in model of care, teamwork, role clarity), relational factors (communication, trust/rapport, family involvement) and personal factors (transition readiness). CONCLUSIONS: There are several challenges to overcome in preparing long-term hospitalized young adults with complex care needs to transition to adult supportive housing; however, these challenges may be overcome with targeted supports in several key 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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| 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".