Antenatal breastfeeding promotion amongst pregnancies at high-risk for newborn admission to the NICU: A cross-sectional study
Bibliographic record
Abstract
Objectives: To determine the prevalence and factors associated with antenatal promotion of breastfeeding in high-risk pregnancies. Study design: This was a cross-sectional study of trends in breastfeeding promotion during antenatal consultation of pregnancies at high-risk for newborn admission to the neonatal intensive care unit (NICU) between January 2017 and December 2020. Eligible high-risk pregnant patients undergoing antenatal consultation in a tertiary-level fetal assessment unit were identified using an electronic clinic repository. Consult letters and fetal assessment reports were reviewed to determine baseline demographics, pregnancy history, fetal findings, and communication about breastfeeding. Descriptive and inferential statistics were used to present findings and compare outcomes between groups. Results: 316 pregnancies were included for final analysis. The mean maternal age was 28.7 years (SD 6.2) and 65 % were multiparas. Median gestational age at time of antenatal consult was 32 weeks [IQR 29-34]. The main indication for consultation was fetal anomalies (72.8%), namely cardiac defects (21.2 %). There was a significant improvement in prevalence of antenatal discussions about breastfeeding over the study period, from 48.8 % early in the study period compared to 73.7 % in the past year (p = 0.036). However, amongst consults where breastfeeding was discussed, almost one-quarter (23.8 %) of patients indicated that they were not planning on breastfeeding postnatally. Conclusion: There has been a significant improvement in promoting breastfeeding antenatally amongst high-risk pregnancies. However, no follow-up or supports were offered to one-quarter of patients who indicated no intention of breastfeeding or using donor milk postnatally. Ongoing work is required to further advance breastfeeding promotion antenatally, increase parental supports and education, and optimize breastfeeding rates postnatally for improving outcomes of this high-risk group.
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 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".