Does family-centred neonatal discharge planning reduce healthcare usage? A before and after study in South West England
Bibliographic record
Abstract
OBJECTIVE: To implement parent-oriented discharge planning (Train-to-Home) for preterm infants in neonatal care. DESIGN: Before and after study, investigating the effects of the intervention during two 11-month periods before and after implementation. SETTING: Four local neonatal units (LNUs) in South West England. PARTICIPANTS: Infants without major anomalies born at 27-33 weeks' gestation admitted to participating units, and their parents. TRAIN-TO-HOME INTERVENTION: A family-centred discharge package to increase parents' involvement and understanding of their baby's needs, comprising a train graphic and supporting care pathways to facilitate parents' understanding of their baby's progress and physiological maturation, combined with improved estimation of the likely discharge date. MAIN OUTCOME MEASURES: Perceived Maternal Parenting Self-Efficacy (PMP S-E) scores, infant length of stay (LOS) and healthcare utilisation for 8 weeks following discharge. RESULTS: Parents reported that the Train-to-Home improved understanding of their baby's progress and their preparedness for discharge. Despite a lack of change in PMP S-E scores with the intervention, the number of post-discharge visits to emergency departments (EDs) fell from 31 to 20 (p<0.05), with a significant reduction in associated healthcare costs (£3400 to £2200; p<0.05) after discharge. In both study phases, over 50% of infants went home more than 3 weeks before their estimated date of delivery (EDD), though no reduction in LOS occurred. CONCLUSIONS: Despite the lack of measurable effect on the parental self-efficacy scores, the reduction in ED attendances and associated costs supports the potential value of this approach.
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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 | 0.000 |
| 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".