Evidence map›Paper›PMID 40394541›Full record

ArticleBMC pregnancy and childbirth2025

"Is she pregnant with Jesus?" exploring sociocultural obstacles to following medical advice in the context of stillbirth prevention in Nigeria.

Uchenna Gwacham-Anisiobi, Adetola Oladimeji, Victoria Yesufu, Jennifer J Kurinczuk, Manisha Nair, Jenny McLeish

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Multistakeholder perspectives on geographical accessibility to emergency obstetric care in Benin City, Nigeria.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  2. 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

6 authors.

Uchenna Gwacham-AnisiobiNational Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, United Kingdom. uchenna.gwacham-anisiobi@balliol.ox.ac.uk.
Adetola OladimejiInstitute of Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Canada.
Victoria YesufuDepartment of Geography and Environmental Management, University of West England, Bristol, United Kingdom.
Jennifer J KurinczukNational Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, United Kingdom.
Manisha NairNational Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, United Kingdom.
Jenny McLeishNational Perinatal Epidemiology Unit (NPEU), Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, United Kingdom. jenny.mcleish@npeu.ox.ac.uk.

Funding

Medical Research Council Award MR/W029294/1
6 · The paper itself

Abstract

backgroundEach year 182,000 babies are stillborn in Nigeria, representing nearly 10% of the annual global stillbirth burden. Imo state in south-eastern Nigeria has one of the highest levels of maternal health service access in Nigeria, yet this has not translated into good pregnancy outcomes. Many stillbirth prevention initiatives in Nigeria focus on maternal health education but empirical evidence suggests that sociocultural factors impact healthcare choices and outcomes. This study aims to explore women's and health workers' perspectives of the sociocultural barriers to following medical advice during pregnancy and childbirth, and specifically how these barriers may contribute to an increased risk of stillbirth. This study is part of a broader community-based stillbirth prevention mixed-methods research in Imo State, Nigeria.

methodsA qualitative descriptive study was conducted using in-depth interviews and focus group discussions. 38 participants were purposively recruited; 20 women and 18 health workers. Audio recordings were transcribed, translated and analysed using inductive thematic analysis.

resultsFour themes were identified: (1) trust, where scepticism about health worker motives or competence and trust in community informal networks were highlighted (2) power dynamics within families, with husbands and older female relatives influencing health decisions; (3) personal and community beliefs that undermine confidence in medical interventions, including a pervasive stigma associated with caesarean section; and (4) grassroots proposals for solutions, emphasising the importance of a whole-community approach to maternal health education, mobilising peer voices, engaging traditional leaders and training of traditional birth attendants.

conclusionThis study provides insights into the sociocultural barriers to following medical advice during pregnancy in Nigeria, which include a lack of trust in health professionals, power dynamics within a woman's family, and entrenched cultural and religious beliefs that oppose medical intervention. Women's decisions about pregnancy and childbirth are heavily influenced by family and cultural norms. Culturally sensitive, community-wide interventions which aim to rebuild trust in the health system, involve women as decision-makers in antenatal care, and engage religious and traditional leaders would be beneficial for improving outcomes.

Indexed as

Prenatal CareStillbirthAdultAttitude of Health PersonnelFemaleFocus GroupsHealth Knowledge, Attitudes, PracticeHealth PersonnelHumansNigeriaPregnancyQualitative ResearchTrustYoung AdultAntenatal careChildbirthCommunity influenceHealth behaviourPregnancy

Identifiers

PMID40394541
PMCPMC12090445

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.