A nurse-initiated jaundice management protocol improves quality of care in the paediatric emergency department
Bibliographic record
Abstract
Hyperbilirubinemia is a common neonatal condition requiring timely management to prevent acute bilirubin encephalopathy. Management protocols allow nonphysicians to initiate designated actions prior to physician assessment. To assess the effectiveness of a nurse-initiated neonatal jaundice management protocol for serum bilirubin sampling and phototherapy for neonates presenting with hyperbilirubinemia to the Paediatric Emergency Department (PED). A health records review was performed for jaundiced neonates 12 months prior to the introduction of the management protocol (control period) and 12 months after (intervention period). Randomly selected charts were evaluated for time to serum bilirubin sampling, phototherapy initiation, ED length of stay, admission rate, completion of direct antiglobulin test and nursing documentation. Two hundred and sixty-six neonates (131 control and 135 intervention) were included. Median time to serum bilirubin sampling was reduced by 22% (36 min versus 28 min; P<0.001) with 34 min difference at the 90th percentile (94 min [95% confidence interval (CI) 63.7 to 116.9] versus 60 min [95% CI 49.0 to 78.2]). Statistically significant improvements were found in time to phototherapy initiation (127 min [95% CI 72.0 to 160.7] versus 65 min [95% CI 50.0 to 72.4] at 90th percentile), ED length of stay (267 min [95% CI 180.9 to 292.9] versus 216 min [95% CI 171.1 to 247.4] at 90th percentile) and hospital admissions (36% versus 17%; P<0.001). Improvements were also observed in direct antiglobulin test measurement (P<0.001) and nursing documentation (P=0.017) Implementation of a PED neonatal jaundice management protocol was associated with improved timeliness and standardization of care for this common and important condition.
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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 | 0.003 | 0.014 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".