Survey shows marked variations in approaches to redirection of care for critically ill very preterm infants in 11 countries
Bibliographic record
Abstract
Abstract Aim We surveyed care practices for critically ill very preterm infants admitted to neonatal intensive care units (NICUs) in the International Network for Evaluating Outcomes in Neonates (iNeo) to identify differences relevant to outcome comparisons. Methods We conducted an online survey on care practices for critically ill very preterm infants and infants with severe intracranial haemorrhage (ICH). The survey was distributed in 2015 to representatives of 390 NICUs in 11 countries. Survey replies were compared with network incidence of death and severe ICH for infants born between 23 0/7 and 28 6/7 weeks of gestation from January 1, 2015, to December 31, 2015. Results Most units in Israel, Japan and Tuscany, Italy, favoured withholding care when care was considered futile, whereas most units in other networks favoured redirection of care. For infants with bilateral grade 4 ICH, redirection of care was very frequently (≥90% of cases) offered in the majority of units in Australia and New Zealand and Switzerland, but rarely in other networks. Networks where redirection of care was frequently offered for severe ICH had lower rates of survivors with severe ICH. Conclusion We identified marked inter‐network differences in care approaches that need to be considered when comparing outcomes.
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How this classification was reachedexpand
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".