Transition From the Neonatal Intensive Care Unit to Home
Bibliographic record
Abstract
BACKGROUND: A successful transition from the neonatal intensive care unit to home is fundamental for the long-term health and well-being of preterm infants; however, the process parents' experience during their transition home is poorly understood. An improved understanding of this concept will allow nurses to offer families comprehensive and collaborative discharge preparation. PURPOSE: To describe the defining attributes, antecedents, and consequences for the concept of transition in the context of the neonatal intensive care unit to home. METHODS: Databases, MEDLINE, CINAHL, PsycINFO, and EMBASE were searched for articles containing "transition" in combination with "neonatal intensive care unit" or variants of these terms. The Walker and Avant method was used for this concept analysis. RESULTS: The defining attributes of transition in the context of the neonatal intensive care unit to home are "mix of emotions," "uncertainty," and "coming into parenthood." The principal antecedent is "hospital discharge preparation" and consequences include "feeding and medical needs," "family life changes," and "parental confidence." IMPLICATIONS FOR PRACTICE: Gradually increasing parents' participation in their infant's care and forming a partnership and collaborative plan with families will help ease the uncertainty parents experience during their transition home. IMPLICATIONS FOR RESEARCH: Further investigation is needed to determine how best to provide emotional support for parents during their transition home and to explore a feasible option for neonatal nurses to follow up with parents after hospital discharge.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".