Palliative Care in Neonatal Intensive Care Units for Extremely Low Birth-Weight Infants
Bibliographic record
Abstract
BACKGROUND: Palliative care is an evolving methodology for managing patients' and their families' complex physiologic, social, emotional, and spiritual needs. While these practices have been extensively studied in adult populations, their context within the framework of pediatric and neonatal care is relatively new. PURPOSE: The purpose of this manuscript is to examine current evidence on the use of palliative care management to enhance the quality of life of extremely low birth-weight infants within the neonatal intensive care unit. METHODS: A comprehensive literature review of evidence-based research about extremely low birth-weight infants within the neonatal intensive care units and palliative care was conducted. After all abstracts were analyzed, 14 potentially relevant publications were selected and reviewed. Additional texts and articles were utilized for the pathophysiology framework and medical management recommendations for the various disease processes discussed. RESULTS: Despite counseling that occurs to inform parents of potential complications associated with extreme prematurity, there remains a need for continued communication, support, and shared decision-making throughout the extremely low birth-weight infant's hospital course to improve family-centered care. Palliative care management is a resource that can aid in the short- and long-term management of the diagnoses received by these patients. IMPLICATIONS FOR PRACTICE AND RESEARCH: Palliative care management and family-centered care, when utilized alongside the medical management of extremely low birth-weight infants, have the potential to improve outcomes and the quality of life for affected infants and their families. However, palliative care management in neonatology is a new and evolving field, and further research is necessary.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".