Evidence map›Paper›PMID 42321689›Full record

ArticleBMC pediatrics2026

Assessing antenatal care utilization, socioeconomic inequalities and low birth weight outcomes: a population-based analysis using the 2022 Ghana demographic and health survey data.

Michael Arthur Ofori, Diana Maame Agyeiwaa Agyei, Abena Abokoma Asemanyi, Sesi Sedegah, Theophilus Asamoah, David Kwamena Mensah

Abstract read
In one paragraph

Article in BMC pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michael Arthur OforiMathematical Sciences, Pan African University Institute Basic Science Technology and Innovation, Juja, Kenya.
Diana Maame Agyeiwaa AgyeiDepartment of Communication and Film, University of Memphis, Memphis, TN, USA.
Abena Abokoma AsemanyiDepartment of Communication and Film, University of Memphis, Memphis, TN, USA.
Sesi SedegahDepartment of Communication and Film, University of Memphis, Memphis, TN, USA.
Theophilus AsamoahMathematical Sciences, Pan African University Institute Basic Science Technology and Innovation, Juja, Kenya.
David Kwamena MensahDepartment of Statistics, University of Cape Coast, Cape Coast, Ghana. dmensah@ucc.edu.gh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSub-Saharan Africa continues to face significant challenges with low birth weight (LBW). Factors such as antenatal care (ANC) utilization and socioeconomic status play critical roles in birth outcomes. It is therefore imperative to understand these relationships, which are crucial to developing tailored, workable interventions to improve maternal and child health outcomes in Ghana.

objectiveThis study aimed to examine the association between ANC utilization patterns, socioeconomic disparities, and low birth weight outcomes among women in Ghana.

methodsThe study included 6,965 observations, with 4,056 complete cases. Due to substantial missingness in key variables (LBW, adequate ANC), a monotone missing data pattern consistent with Missing at Random (MAR) was observed. Multiple Imputation by Chained Equations (MICE) was employed using Fully Conditional Specification across 20 imputed datasets. Survey-weighted logistic regression was performed on each imputed dataset, with estimates pooled via Rubin's Rules. Model fit was assessed using the Hosmer-Lemeshow goodness-of-fit test. The slope index of inequality was calculated to examine socioeconomic disparities.

resultsThe prevalence of LBW was 10.0% in complete cases and 19.2% in imputed data. Socioeconomic inequality analyses revealed significant pro-rich gradients in ANC utilization. The disparities were more pronounced for optimal ANC (8 + visits; SII: 0.431; RII: 1.538) than adequate ANC (4 + visits; SII: 0.203; RII: 1.224). LBW was disproportionately concentrated among women of lower socioeconomic status (SII: -0.159; RII: 1.172). The adjusted multivariable model showed inadequate ANC (aOR: 1.97; 95% CI: 1.34-2.90), suboptimal ANC (aOR: 1.73; 95% CI: 1.27-2.36), and poor wealth status (aOR: 1.79; 95% CI: 1.18-2.72) were independently associated with higher odds of LBW.

conclusionANC visit frequency and household wealth are independently associated with LBW among Ghanaian women. These findings underscore the need for targeted interventions to improve ANC attendance and address socioeconomic disparities to reduce the burden of LBW in Ghana.

Indexed as

Healthcare DisparitiesInfant, Low Birth WeightPatient Acceptance of Health CarePrenatal CareAdolescentAdultFemaleGhanaHealth SurveysHumansInfant, NewbornLow Socioeconomic StatusPregnancyPregnancy OutcomeSocioeconomic Disparities in HealthSocioeconomic FactorsAntenatal careDemographic and Health SurveyGhanaLow birth weightMaternal healthSocioeconomic inequalities

Identifiers

PMID42321689
PMCPMC13536851

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.