ArticlePloS one2025
Utilisation of eight or more antenatal care visits and its associated socio-economic-related inequalities in sub-Saharan Africa: A decomposition analysis.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Pregnant women's perspectives on antenatal care utilization in Cameroon: a cross- sectional mixed-methods study.Frontiers in global women's health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionInadequate utilisation of maternal healthcare services, particularly antenatal care (ANC), poses a challenge in sub-Saharan Africa (SSA). There is a dearth of regional studies that address the socio-economic disparities in the use of ANC in SSA. Therefore, we examined the wealth and education-based inequalities in the utilisation of ANC services among women in SSA.
methodsWe analysed secondary data obtained from the Demographic Health Survey conducted in fifteen countries in SSA. We estimated the degree of wealth and education-related inequalities using concentration curves, concentration indices (CIX), and decomposition analysis, which identified the factors contributing to the disparities in the utilisation of ANC. All the analyses were conducted using Stata version 17.0 (Stata Corporation, College Station, TX, USA).
resultsThe results revealed a significant socio-economic gap in utilising ANC in SSA. We found positive and statistically significant wealth index-related (CIX = 0.30; p-value < 0.0001) and education-based inequalities (CIX = 0.33; p-value < 0.0001) in eight or more ANC visits. The extent of wealth index-related and education-based inequalities varied across the fifteen countries. The decomposition analysis showed that educational attainment accounted for about 21% of the inequalities in eight or more ANC visits. Wealth index contributed 12.14% of the inequalities in eight or more ANC visits. Our results further showed that women's education, wealth, parity, and place of residence significantly contributed to the utilisation of eight visits or more among women in SSA.
conclusionThis study shows the disparities in ANC coverage, contingent upon wealth index and educational attainment. Our study highlights the importance of adopting a holistic approach involving robust cooperation between healthcare and other social service sectors. It is crucial to prioritise the primary social factors contributing to disparities in the utilisation of ANC services, including women's education, parity, place of residence, and economic status. Policymakers and stakeholders must prioritise efforts to combat obstacles to healthcare access, including the provision of easily accessible, affordable, and culturally appropriate services.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.