Barriers to Timely Administration of Hepatitis B Birth Dose Vaccine to Neonates of Mothers With Hepatitis B in Ghana: Midwives’ Perspectives
Bibliographic record
Abstract
Background: The global health sector strategy on viral hepatitis aims to reduce new hepatitis B infections by 90% by 2030. Yet, hepatitis B birth dose (HepB-BD) vaccination, which is effective in preventing mother-to-child transmission of hepatitis B, remains low in sub-Saharan Africa. Given the essential role that midwives play in infants' birth dose immunisation, we explore their perspectives on the reasons for delays and non-administration of HepB-BD to eligible neonates in Ghana. Methods: We conducted interviews with 18 midwives, stratified by region (Greater Accra and Northern regions). Participants were selected purposively. The data were transcribed, coded, and analysed following the Braun and Clarke data analysis procedure. Results: The participants conveyed a broad range of barriers to HepB-BD vaccination in Ghana. These include the mother's denial of hepatitis B seropositivity; the mother's ignorance of the impact of hepatitis B on their newborn; partners' non-involvement in post-test counselling; and the high cost of hepatitis B immunoglobulin and hepatitis B monovalent vaccine. Other reasons included vaccine unavailability and midwives' oversight and documentation lapses. Conclusion: We recommend educating expectant mothers on the importance and effectiveness of HepB-BD vaccination during antenatal care (ANC) visits, as well as educating midwives on HepB-BD vaccination procedures. In addition, ensuring sufficient supplies and administering hepatitis B vaccines in the delivery ward should be done to guarantee that babies receive the vaccines on time. Importantly, Ghana needs policies that require HepB-BD vaccination as part of the Expanded Programme on Immunisation (EPI) to ensure the investments and funding it needs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".