Sustained quality improvement in outcomes of preterm neonates with a gestational age less than 29 weeks: results from the Evidence-based Practice for Improving Quality Phase 3
Bibliographic record
Abstract
Quality improvement initiatives in neonatology have yielded positive results; however, few programs have demonstrated sustainability. We evaluated an ongoing, national quality improvement initiative (Evidence-based Practice for Improving Quality Phase 3 (EPIQ-3)) on outcomes of preterm neonates with a gestational age (GA) of 220–286 weeks (i.e., from 22 weeks and 0 days of gestation to 28 weeks and 6 days of gestation). Data from 7459 neonates admitted to 25 Canadian centers between 2013 and 2017 were studied. Trends in mortality and major morbidities were evaluated. The number of neonates with a GA of 220–236 weeks increased from 90 in 2013 to 139 in 2017 without a significant change in any other GA categories. In the entire cohort, the odds of composite outcome of mortality or any major morbidity (adjusted odds ratio (AOR) 0.72, 95% confidence interval (CI) 0.61–0.84) and of necrotizing enterocolitis (AOR 0.66, 95% CI 0.49–0.89) were lower in 2017 than in 2013. When calculated per year, the odds of composite outcome (AOR 0.93, 95% CI 0.89–0.97) and odds of necrotizing enterocolitis (AOR 0.89, 95% CI 0.82–0.96) decreased significantly. Among the subgroup of neonates with a GA of 260–286 weeks, the odds of composite outcome (AOR 0.63, 95% CI 0.51–0.79), necrotizing enterocolitis (AOR 0.44, 95% CI 0.26–0.73), and nosocomial infection (AOR 0.64, 95% CI 0.49–0.84) were reduced. The collaborative, multidisciplinary, nationwide EPIQ-3 program improved outcomes of preterm neonates, and the improvement was sustainable over 5 years.
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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 | 0.060 | 0.108 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".