Determinants of change in home participation among critically ill children
Bibliographic record
Abstract
AIM: To estimate changes in home participation among critically ill children in the first 6 months after discharge from a pediatric intensive care unit (PICU), and to explore the effect of child, service, and environmental factors on change in home participation. METHOD: This was a prospective bi-center, longitudinal cohort study. Caregivers of 180 children, aged 1 to 17 years, who were admitted into the PICU for at least 48 hours were included. Patient-reported outcomes were used to capture caregivers' perspectives of their child's participation and environmental supports for participation in home activities. Data were collected at enrollment, and 3 and 6 months after discharge. RESULTS: There were no significant changes in home participation frequency or involvement, but involvement rates across time were moderated by functional status. Age significantly predicted participation frequency. Pre-PICU functional status and capabilities were significant predictors of participation frequency and involvement, and home environmental support significantly predicted home involvement. INTERPRETATION: Results suggest relatively stable participation trajectories in the 6 months after PICU admission. Children with abnormal baseline function experienced a greater increase in home involvement after PICU. Rehabilitation interventions targeting functional capabilities and home environment may be viable approaches during the early phase of recovery. Environmental interventions may be more time-efficient after PICU stay and merit further study. WHAT THIS PAPER ADDS: Children's pre-pediatric intensive care unit (PICU) functional status and capabilities impact their participation after critical illness. Children's trajectories of home involvement may differ over time based on their pre-PICU functional status. Caregiver perceptions of environmental support impact a child's home involvement after discharge from a PICU.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".