Does women's empowerment and socio-economic status predict adequacy of antenatal care in sub-Saharan Africa?
Bibliographic record
Abstract
BACKGROUND: Quality and adequate antenatal care (ANC) are key strategies necessary to achieve Sustainable Development Goal 3.1. However, in sub-Saharan Africa (SSA), there is a paucity of evidence on the role women's empowerment and socio-economic status play in ANC attendance. This study aimed to examine whether women's empowerment and socio-economic status predict the adequacy of ANC in SSA. METHODS: Data from the recent Demographic and Health Surveys (DHSs) of 10 countries in SSA were used for the study. We included countries with a survey dataset compiled between 2018 and 2020. We included 57 265 women with complete observations on variables of interest in the study. Frequencies and percentages were used to summarize the results of the coverage of adequate ANC services across the 10 countries. A multivariable binary multilevel regression analysis was employed to examine the association between women's empowerment and socio-economic status indicators and the adequacy of ANC. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were used to present the findings of the regression analysis. RESULTS: The average prevalence of adequate ANC in SSA was 10.4%. This ranged from 0.2% in Rwanda to 24.5% in Liberia. Women with medium (aOR 1.24 [CI 1.10 to 1.40]) and high (aOR 1.24 [CI 1.07 to 1.43]) decision-making power had higher odds of adequate ANC compared to those with low decision-making power. Women with higher levels of education (aOR 1.63 [CI 1.36 to 1.95]) as well as partners with higher education levels (aOR 1.34 [CI 1.14 to 1.56]) had the highest odds of adequate ANC compared to those with no formal education. Additionally, those working (aOR 1.35 [95% CI 1.23 to 1.49]) and those in the richest wealth category (aOR 2.29 [CI 1.90 to 2.76]) had higher odds of adequate ANC compared to those who are not working and those in the poorest wealth category. Those with high justification of violence against women (aOR 0.84 [CI 0.73 to 0.97]) had lower odds of adequate ANC compared to those with low justification of violence against women. CONCLUSIONS: Adequacy of ANC was low across all 10 countries we included in this study. It is evident from the study that women's empowerment and socio-economic status significantly predicted the adequacy of ANC. As such, promoting women's empowerment programs without intensive improvements in women's socio-economic status would yield ineffective results. However, when women's empowerment programs are combined with active improvements in socio-economic status, then women will be encouraged to seek adequate 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 | 0.008 |
| 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".