The coverage of hepatitis B birth dose vaccination in Nigeria: Does the place of delivery matter?
Bibliographic record
Abstract
BACKGROUND: Hepatitis B birth dose (HepB-BD) vaccination coverage remains suboptimal in Nigeria. While evidence suggests that institutional delivery is associated with the uptake of HepB-BD vaccine, little is known about how the uptake differs by facility ownership (public or private). This study examined the HepB-BD vaccination coverage by place of delivery in Nigeria. METHODS: This study is a secondary analysis of data on 6143 children aged 12-23 mo obtained from the 2018 Nigeria Demographic and Health Survey. We assessed the association between HepB-BD vaccination and the place of delivery using logistic regression models. RESULTS: About 53% of the children received the HepB-BD vaccine. Approximately 77, 83 and 33% of those delivered at a public health facility, private health facility and at home received the HepB-BD vaccine, respectively. After controlling for child- and maternal-level factors, the odds of receiving HepB-BD vaccine were significantly lower in children delivered at a private health facility (adjusted OR [aOR]=0.77, 95% CI 0.59 to 0.99) or at home (aOR=0.48, 95% CI 0.36 to 0.63). Wealth index and region of residence were significantly associated with the receipt of HepB-BD vaccination in all three places of delivery. CONCLUSIONS: Children are less likely to receive the HepB-BD vaccine if they are delivered at a private health facility or at home. There is a need for private health sector engagement for immunization service delivery and innovative community-based interventions to reach the children delivered at home.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".