Promotion of early and exclusive breastfeeding in neonatal care units in rural Rwanda: a pre- and post-intervention study
Bibliographic record
Abstract
BACKGROUND: Early initiation of breastfeeding after birth and exclusive breastfeeding for the first six months improves child survival, nutrition and health outcomes. However, only 42% of newborns worldwide are breastfed within the first hour of life. Small and sick newborns are at greater risk of not receiving breastmilk and often require additional support for feeding. This study compares breastfeeding practices in Rwandan neonatal care units (NCUs) before and after the implementation of a package of interventions aimed to improve breastfeeding. METHODS: This pre-post intervention study was conducted at two district hospital NCUs in rural Rwanda from October-December 2017 (pre-intervention) and September 2018-March 2019 (post-intervention). Only newborns admitted before their second day of life (DOL) were included. Data were extracted from patient charts for clinical and demographic characteristics, feeding, and patient outcomes. Exclusive breastfeeding at discharge was based on last recorded infant feeding on the day of discharge. Logistic regression analysis was used to evaluate factors associated with exclusive breastfeeding at discharge. RESULTS: Pre-intervention, 255 newborns were admitted in the NCUs and 793 were admitted in post-intervention. Exclusive breastfeeding on the day of birth (DOL0) increased from 5.4% (12/255) to 35.9% (249/793). At discharge, exclusive breastfeeding increased from 69.6% (149/214) to 87.0% (618/710). The mortality rate decreased from 16.1% (41/255) to 10.5% (83/793). Factors associated with greater odds of exclusive breastfeeding at discharge included admission during the post-intervention period (aOR 4.91; 95% CI 1.99, 12.11), and admission for infection (aOR 2.99; 95% CI 1.13, 7.93). Home deliveries (aOR 0.15; 95% CI 0.05, 0.47), preterm delivery (aOR 0.36; 95% CI 0.15, 0.87) and delayed first breastmilk feed (aOR 0.04 for DOL3 vs. DOL0; 95% CI 0.01, 0.35) reduced odds of exclusive breastfeeding at discharge. CONCLUSIONS: Expansion and adoption of evidenced-based guidelines, using innovative approaches, aimed at the unique needs of small and sick newborns may help to improve earlier initiation of breastfeeding, decrease mortality, and improve exclusive breastfeeding on discharge from hospital among small and sick newborns. These interventions should be replicated in similar settings to determine their effectiveness.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".