Evidence map›Paper›PMID 42599923›Full record

ArticlePloS one2026

Estimating the effect of antenatal care models on birthweight in low- and middle-income countries: Evidence from a DHS-based propensity score matching analysis.

Aklilu Habte Hailegebireal, Demelash Woldeyohannes Handiso

Abstract read
In one paragraph

Article in PloS one, 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

2 authors.

Aklilu Habte HailegebirealSchool of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosanna, Ethiopia.ORCID https://orcid.org/0000-0002-5719-4294
Demelash Woldeyohannes HandisoMonash Centre for Health Research and Implementation, Monash University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low birthweight (LBW) remains a major public health challenge in low- and middle-income countries (LMICs), accounting for over 95% of the global burden and substantially increasing the risks of neonatal mortality, impaired growth, and adverse lifelong health outcomes. Despite the recognized importance of antenatal care (ANC), robust evidence on the causal effect of different ANC models on birthweight across LMICs remains limited. This study aimed to estimate the effect of adequate ANC utilization on birthweight using propensity score matching (PSM).

methodThis study analysed 370,576 women (weighted sample = 369,034) drawn from 52 Demographic and Health Surveys(DHS) conducted across LMICs between 2012 and 2024. Potential confounders associated with both ANC utilization and birthweight were identified using bivariate analyses, including chi-square tests, analysis of variance (ANOVA), and t-tests, and were subsequently incorporated into PSM models. PSM was employed to estimate the effects of receiving at least four ANC visits (ANC4+) and at least eight ANC visits (ANC8+) on birthweight. Both the Average Treatment Effect on the Treated (ATT) and the Average Treatment Effect (ATE) were estimated. Matching quality was assessed using balance diagnostics and graphical evaluations, while Rosenbaum bounds sensitivity analysis was performed to evaluate the robustness of the findings to potential unmeasured confounding.

resultsThe mean birthweight was 3,034.31 g (SD: 651.65), and the weighted prevalence of LBW was 12.42% (95% CI: 12.31, 12.52). Overall, 69.95% and 20.73% of women received at least four (ANC4+) and eight (ANC8+) ANC visits, respectively. PSM revealed that women who received ANC4+ and ANC8+ delivered newborns weighing, on average, 76.41 g and 104.16 g more than matched controls, respectively (ATT). At the population level, ANC4+ and ANC8+ were associated with average birthweight gains of 60.18 g and 84.61 g, respectively (ATE). Matching diagnostics demonstrated substantial reductions in covariate imbalance and strong post-matching comparability between treatment and control groups, supporting the robustness of the estimated treatment effects.

conclusionLow birthweight remains a substantial public health burden in LMICs. Adequate ANC was associated with significant improvements in birthweight, with the WHO-recommended ANC8+ model demonstrating greater benefits than ANC4+, indicating a dose-dependent relationship between ANC utilization and fetal growth. Expanding access to and continuity of high-quality ANC services, particularly the ANC8+ contact model, may represent an effective strategy for improving birth outcomes and reducing the burden of LBW across the region.

Indexed as

Birth WeightInfant, Low Birth WeightPrenatal CareAdolescentAdultDeveloping CountriesFemaleHumansInfant, NewbornPregnancyPropensity ScoreYoung Adult

Identifiers

PMID42599923
PMCPMC13475944

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.