Evidence map›Paper›PMID 39567931›Full record

ArticleInternational journal for equity in health2024

Layers of inequality: gender, medicalisation and obstetric violence in Ghana.

Abena Asefuaba Yalley

Abstract read
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Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Abena Asefuaba YalleyDepartment of Politics and Public Administration/Zukunftskolleg, University of Konstanz, Konstanz, 78464, Germany. abena.yalley@uni-konstanz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explored how gender inequalities in health systems influence women's experiences of obstetric violence in Ghana. Obstetric violence is recognised as a major public health concern and human rights violation. In particular, it reduces women's trust and use of health facilities for childbirth, thereby increasing the risks of maternal and neonatal mortality. In Ghana, obstetric violence is pervasive and normalised; yet, little is known about the gendered dynamics of this phenomenon. METHODOLOGY: A qualitative study was conducted in eight public health facilities in Ghana. Specifically, semi-structured interviews were conducted with 30 midwives who work in the maternity units and 35 women who have utilised the obstetric services of the hospitals for childbirth. The midwives and women were selected using the purposive sampling technique. The transcripts of the interviews were coded using NVivo qualitative data analysis software and were thematically analysed. Secondary materials such as existing data on the medical profession in Ghana were utilised to complement the primary data.

resultsThe study revealed that there are huge structural inequalities that keep women at the lower cadres of the health system. Five major themes depicting how gender inequalities contribute to women's experiences of obstetric violence emerged: gender inequality in the medical profession, unequally and heavily tasked, feminisation of midwifery, patriarchal pressures and ideologies, and gender insensitivity in resource provision. These inequalities impact the kind of care midwives provide, which is often characterised by mistreatment and abuse of women during childbirth. The study also discovered that patriarchal ideologies about women and their bodies lead to power and control in the delivery room and violence has become a major instrument of domination and control.

conclusionThe hierarchical structure of the healthcare profession puts the midwifery profession in a vulnerable position, with negative consequences for maternity care (obstetric violence). The study recommends that gender-responsive approaches that address structural inequalities in health systems, women's empowerment over their bodies and male involvement in women's reproductive care are crucial in dealing with obstetric violence in Ghana.

Indexed as

MidwiferyQualitative ResearchAdultDelivery, ObstetricFemaleGhanaHumansInterviews as TopicMaleMaternal Health ServicesMedicalizationMiddle AgedPregnancySexismSocioeconomic FactorsViolenceChildbirthGender inequalityGhanaHealth systemsObstetric violencePatriarchySystemic injustice

Identifiers

PMID39567931
PMCPMC11580336

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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.