Exploration of the Evidence on Discharge From Hospital to Home for Children With Medical Complexity and Their Parents: A Review of the Literature
Bibliographic record
Abstract
BACKGROUND: Children with medical complexity (CMC) require complex care that parents must independently provide and manage when discharged home from hospital. It is important that parents are adequately prepared to safely transition home from hospital with their child. METHOD: A synthesis of findings from research articles was conducted to map and summarize available evidence on CMC and their parents' experiences of discharge from hospital to home. A total of 32 studies were included in this review. Thematic analysis was used to analyze and describe the data. RESULTS: The following key themes were developed during data analysis: preparation and readiness, aids for discharge, overwhelmed with the transition, frustration with time to get home, difficulties with transitions and discharge interventions. CONCLUSION: These findings demonstrate the importance of taking steps to ensure CMC and their parents undergo a thorough and planned discharge process to prepare parents to confidently provide safe care to their children in the home. Approaches and strategies for comprehensive and safe discharge are provided.
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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 | 0.006 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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".