Prevalence of essential newborn care in home and facility births in the Peruvian Amazon: analysis of census data from programme evaluation in three remote districts of the Loreto region
Bibliographic record
Abstract
Background: Essential newborn care (ENC) covers optimal breastfeeding, thermal care, and hygienic cord care. These practices are fundamental to save newborn lives. Despite neonatal mortality remaining high in some parts of Peru, no comprehensive data on ENC is available. We sought to estimate the prevalence of ENC and assess differences between facility and home births in the remote Peruvian Amazon. Methods: We used baseline data from a household census of rural communities of three districts in Loreto region, collected as part of the evaluation of a maternal-neonatal health (MNH) programme. Women between 15 and 49 years with a live birth in the last 12 months were invited to complete a questionnaire about MNH-related care and ENC. Prevalence of ENC was calculated for all births and disaggregated by place of birth. Adjusted prevalence differences (PD) were post-estimated from logistic regression models on the effect of place of birth on ENC. Findings: All 79 rural communities with a population of 14,474 were censused. Among 324 (>99%) women interviewed, 70% gave birth at home, most (93%) without skilled birth assistance. Among all births, prevalence was lowest for immediate skin-to-skin contact (24%), colostrum feeding (47%), and early breastfeeding (64%). ENC was consistently lower in home compared to facility births. After adjusting for confounders, largest PD were found for immediate skin-to-skin contact (50% [95% CI: 38-62]), colostrum feeding (26% [16-36]), and clean cord care (23% [14-32]). ENC prevalence in facilities ranged between 58 and 93%; delayed bathing was lower compared to home births (-19% [-31 to -7]). Interpretation: Low prevalence of ENC practices among home births in a setting with high neonatal mortality and difficult access to quality care in facilities suggests potential for a community-based intervention to promote ENC practices at home, along with promotion of healthcare seeking and simultaneous strengthening of routine facility care. Funding: Grand Challenges Canada and Peruvian National Council of Science, Technology, and Technology Innovation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".