Tough transitions: Family caregiver experiences with a pediatric long‐term ventilation discharge pathway
Bibliographic record
Abstract
OBJECTIVES: Discharging a child home on long-term ventilation (LTV) via tracheostomy is complex and involves multiple healthcare providers across healthcare sectors. To date, there has been a paucity of data with respect to the experiences of families transitioning a child home on LTV. Our objective was to explore the perceptions of family caregivers (FCs) who have completed a newly developed LTV discharge pathway as they transitioned home. METHODS: We conducted 11 semi-structured interviews with FCs. Interviews focused on FC's experience with the training process, perception of competency from a knowledge and skill perspective, and opportunities for improvement. Interviews were audiotaped, transcribed verbatim, coded, and analyzed using an inductive thematic analysis approach. RESULTS: Eight mothers and three fathers of ten children participated. Six primary themes were identified: (1) making an informed decision, (2) transitioning to rehabilitation, (3) building capacity for self-care, (4) coordinating case management, (5) readying for discharge home, and (6) experiencing home care. CONCLUSION: Overall, FCs felt that the preparation and transition support obtained through the application of a standardized LTV discharge pathway allowed successful attainment of new knowledge and skills necessary to care for their child with LTV at home.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".