Exploring antenatal care utilization and intimate partner violence in Benin - are lives at stake?
Bibliographic record
Abstract
BACKGROUND: The republic of Benin ranks in the bottom third of countries recently assessed for ANC coverage and its Ministry of Family and National Solidarity (2009) reported close to 70% of Beninese women suffered abuse at least once in their lifetime. Utilization of antenatal care (ANC) services is key to positive health outcomes for both mother and infant. This study examined the impact of intimate partner violence (IPV) on the utilization of ANC services in Benin using both the basic 4 visit model (ANC-4) and the updated WHO recommended 8-visit model (ANC-8). METHODS: Data used for this study were collected from the nationally representative 2017-2018 Benin Demographic Health Survey (BDHS) on ever-partnered women aged 15-49 who had completed both reproductive maternal health and domestic violence modules of the survey. Descriptive statistics and multivariate logistic regression analysis were performed to determine significant factors associated with ANC utilization in Benin. RESULTS: Over 40% of the women (n = 3084) reported experience of IPV in their lifetime. Findings revealed that women who ever experienced IPV (OR 0.753, 95% CI: 0.628-0.901; p = 0.002) had 25% less odds of accessing the basic four ANC visits. IPV was not found to be a factor in accessing at least eight ANC visits. With increasing number of children, there was less likelihood of accessing at least four and at least eight visits. Being in the richest quintile (OR 5.490, 95% CI 3.907-7.714; p < 0.000 for ANC-4; OR, 5.781, 95% CI: 3.208-10.41; p < 0.000), making decisions on household and health care (OR 1.279, 95% CI: 1.042-1.569 for ANC-4; OR, 1.724; 95% CI: 1.170-2.540; p = 0.006 for ANC-8), and getting paid cash for work increased the chances of utilizing ANC-four (OR 1.451, 95% CI: 1.122-1.876; 0.005) but not for ANC-eight. Belonging to the Muslim faith decreased the odds of ANC utilization compared to all other religions. CONCLUSION: This work revealed key areas for maternal health policy makers and service providers in Benin to appropriately plan effective policies (i.e., alleviate poverty; equitable health services access; cultural sensitivity) and necessary interventions (i.e. ANC education, IPV prevention, paid employment, alcohol cessation) to increase utilization of 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".