Impact of a NICU parental engagement model of care on emergency room visits and hospital readmissions in preterm infants.
Bibliographic record
Abstract
Introduction There is an increased occurrence of emergency room visits and hospital readmission in preterm infants compared to full-term infants after their initial hospital discharge. Objectives This study analyzes the effects of parental engagement programs, specifically the Family Integrated Model of Care (FiCare) on emergency room visits and hospital readmissions within the first 30 days after discharge from the NICU. Methods A retrospective cohort study was completed at the Kingston Health Sciences Centre (KHSC) and Quinte Health Care (QHC) Centre. The sample consisted of two groups of preterm infants born at or less than 33 weeks gestation: infants who participated in a parental engagement program (FiCare program), and those who were not involved in the FiCare program. Infants in both groups were matched for gestational age and birth weight (± 500 grams). Results A total of 73 infants (36 pre-FiCare, 37 FiCare) were enrolled in the study. Infants in the FiCare group had significantly fewer emergency room visits within the first 30-days post-discharge than the pre-FiCare group (7 vs 1 visits, p=0.025). There was a no significant reduction in the number of hospital admissions between the two groups. Conclusion Parental engagement programs have dual benefits of enhancing infant outcomes as well as serving as an effective method to reduce the number of emergency room visits in preterm infants after discharge from the NICU.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".