Promotion of Early and Exclusive Breastfeeding in Neonatal Care Units in Rural Rwanda: a Quasi-experimental Study
Bibliographic record
Abstract
Abstract Background: Early initiation of breastfeeding after birth and ongoing exclusive breastfeeding for the first 6 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, aligned with the Baby Friendly Hospital Initiative for small and sick newborns.Methods: A pre-post quasi experimental study was conducted at two District hospital NCUs in rural Rwanda from October 2017–December 2017 (pre-intervention) and September 2018–March 2019 (post-intervention). Only newborns admitted before their second day of life (DOL) were included. Data was extracted from patient charts for clinical and demographic characteristics, feeding throughout admission, and patient outcomes. Bivariate analyses were conducted using Fisher’s exact and Wilcoxon rank sum tests. Logistic regression was used to evaluate factors associated with exclusive breastfeeding at discharge following a backwards stepwise procedure.Results: Pre-intervention, 255 newborns were admitted in the NCUs and 793 were admitted in the post-intervention period. The percentage of infants who were exclusively breastfed on their day of birth, or day-of-life zero (DOL0) increased from 5.4% to 35.9% (p<0.001). For newborns discharged alive, the proportion exclusively breastfeeding increased from 69.6% to 87.0% (p<0.001). The mortality rate for all admitted newborns decreased from 16.1% to 10.5% (p<0.019). Factors associated with greater odds of exclusive breastfeeding at discharge included post-intervention time point (Odds Ratio (OR): 4.91, 95% Confidence Interval (CI) 1.99-12.11, p<0.001), and admission for infection (OR 2.99, 95%CI 1.13-7.93, p=0.027). Home deliveries (OR 0.15, 95%CI 0.05-0.47, p=0.001), preterm delivery (OR 0.36, 95%CI 0.15-0.87, p=0.0260 and delayed first breastmilk feed (OR=0.04 for DOL3 vs. DOL0, 95%CI 0.01, 0.35, p=0.004) reduced odds of exclusive breastfeeding at discharge. Conclusion: Expansion and adoption of evidenced-based guidelines, using innovative approaches, aimed at the unique needs of small and sick newborns should be expanded and adapted in similar settings to improve outcomes for these infants.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".