Evidence map›Paper›PMID 40296180›Full record

ArticleJournal of health, population, and nutrition2025

Delay in timing of first antenatal care utilisation among women of reproductive age in sub-Saharan Africa: a multilevel mixed effect analysis.

Million Phiri, Jason Mwanza, Angel Mwiche, Musonda Lemba, Jacob R S Malungo

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Million PhiriDepartment of Demography, Population Sciences, Monitoring and Evaluation, School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia. millsphiri@gmail.com.
Jason MwanzaDepartment of Social Work and Sociology, School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.
Angel MwicheDirectorate of Public Health, Ministry of Health, Lusaka, Zambia.
Musonda LembaDepartment of Demography, Population Sciences, Monitoring and Evaluation, School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.
Jacob R S MalungoDepartment of Demography, Population Sciences, Monitoring and Evaluation, School of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies in sub-Saharan Africa and elsewhere have affirmed the importance of community-level factors in influencing maternal health seeking behaviour. However, literature shows no uniform pattern in terms of how contextual-level factors influence delay in seeking antenatal care service in different parts of the region. The association of contextual factors and timing of antenatal care is not well documented at regional level. Thus, this study was conducted to examine how community-level characteristics influence decision not to initiate antenatal care in the first trimester. Regional-level analyses of antenatal care utilisation in sub-Saharan Africa are important because they help identify geographic disparities in access and utilisation of the service. Thus, allowing for targeted interventions to improve maternal health outcomes.

methodsData from the most recent Demographic and Health Surveys conducted between January 2010 and December 2021 were used in this study. A sample of 222,436 women aged 15-49 who gave birth in the last five years preceding each of the 33 country surveys in the region was used in the analysis. The association between individual and contextual-level factors and timing of antenatal care was assessed using multilevel binary logistic regression models. Stata software version 17 was used to perform statistical analysis taking into account the complex survey design. Multivariable results were presented using adjusted odds ratios at 95% confidence interval.

resultsThe prevalence of delay in utilisation of first antenatal care service in sub-Saharan Africa was 61.1% [95% CI, 60.6, 61.5]. Mozambique had the highest prevalence of 85.5% [95% CI, [84.2, 86.7] while Liberia had the lowest prevalence at 27.8% [95% CI, [25.6, 30.1]. Women in the age groups 25-34 [aOR = 0.79, 95%CI = 0.76-0.82] or 35-49 [aOR = 0.66, 95%CI = 0.63-0.69], those with secondary or tertiary education [aOR = 0.97, 95%CI = 0.93-1.01] and [aOR = 0.71, 95%CI = 0.66-0.77], belonging to rich households [aOR = 0.91, 95%CI = 0.88-0.95], and those who experienced a pregnancy loss [aOR = 0.84, 95%CI = 0.81-0.87] were less likely to delay first ANC utilisation. Conversely, women living in rural areas [aOR = 1.18, 95%CI = 1.13-1.23], communities with a high proportion of women who experienced unwanted births [aOR = 1.08, 95%CI = 1.02-1.14] were more likely to delay first antenatal care visit.

conclusionBoth individual and community-level factors influenced women's delay in seeking antenatal care service in sub-Saharan Africa. Integrating community level factors when designing maternal health promotion interventions would be key to improve early utilisation of antenatal care services. There is need to strengthen maternal health promotion initiatives such as Community Health Worker Outreach, Mobile Messaging Campaigns, Male Involvement Initiatives and, School and Youth Friendly Health Programmes targeting women in marginalised communities such as rural settings.

Indexed as

Patient Acceptance of Health CarePrenatal CareAdolescentAdultAfrica South of the SaharaFemaleHealth Services AccessibilityHumansMiddle AgedMultilevel AnalysisPregnancyPregnancy Trimester, FirstSocioeconomic FactorsTime FactorsYoung AdultAntenatal careMultilevel analysisReproductive healthSub-Saharan AfricaWomen of reproductive age

Identifiers

PMID40296180
PMCPMC12036153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.