Breastfeeding self‐efficacy predicts breastmilk feeding in preterm infants at discharge from the neonatal intensive care unit
Bibliographic record
Abstract
AIM: To examine the association between breastfeeding self-efficacy (BSE) and breastmilk feeding at discharge from the neonatal intensive care unit among mothers of preterm infants. DESIGN: Secondary analysis of the Family Integrated Care (FICare) cluster randomized controlled trial. METHODS: Data from 221 mothers of preterm infants who participated in the standard care group of the trial were analysed. BSE at admission was assessed using the modified Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF). Breastmilk feeding was assessed using 24 hr maternal recall at discharge. RESULTS: Mothers who were exclusively breastmilk feeing their infants at discharge had statistically significantly higher mean BSES-SF scores at admission (68.4, SD = 13.7) than those providing a combination of breastmilk and formula or only formula (59.6, SD = 14.7; p < .001). Multivariable logistic regression showed that higher BSE at admission, maternal birth in Canada, and absence of diabetes were statistically significant predictors of exclusive breastmilk feeding at discharge.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".