The moderating role of partners’ education on early antenatal care in northern Ghana
Bibliographic record
Abstract
BACKGROUND: Early antenatal care (ANC) is essential for improving maternal and child health outcomes. The primary aims of this study were to 1) estimate the association between partners' education attainment and early ANC, and 2) determine whether partners' level of education modified the relationship between mothers' education, mothers' age, planned pregnancy, employment status and early ANC. METHODS: Data were obtained from a cross-sectional study conducted from April to May 2021 among 519 mothers with a live birth in the past year in the Nabdam district in the Upper East Region in northern Ghana. Generalized estimating equations were used to assess whether partners' level of education modified the relationship between mothers' education, mothers' age, planned pregnancy, employment status and early ANC. Effect modification was assessed on the additive and multiplicative scales using adjusted prevalence ratios (aPR) and corresponding 95% confidence intervals. RESULTS: Mothers whose partners had secondary or higher education had a 26% higher prevalence of early ANC compared to mothers whose partners had less than a secondary level of education (aPR: 1.26, 95% CI: 1.05,1.51). There was evidence of effect modification by partners' education on the relationship between planned pregnancy and early ANC on both the additive (Relative excess risk due to interaction [RERI]: 0.61, 95% CI: 0.07,0.99), and multiplicative (ratio of PRs: 1.64, 95% CI: 1.01,2.70) scales. Among mothers whose partners had less than secondary education, mothers who had teenage pregnancy (i.e., aged 18-19 years old during pregnancy) were less likely to have early ANC compared to those who did not have teenage pregnancy (aPR: 0.71, 95% CI: 0.53,0.97). Among mothers whose partners had a secondary or higher education, early ANC was more prevalent among employed mothers compared to those who were unemployed (aPR: 1.27, 95% CI: 1.02,1.57). CONCLUSIONS: Our findings suggest that whilst mothers whose partners had a secondary or higher education were more likely to initiate early ANC, supporting such women to plan their pregnancies can further increase the coverage of early ANC.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".