Evidence map›Paper›PMID 38708725›Full record

ArticleAfrican journal of primary health care & family medicine2024

Young women's social support networks during pregnancy in Soweto, South Africa.

Khuthala Mabetha, Larske M Soepnel, Sonja Klingberg, Gugulethu Mabena, Molebogeng Motlhatlhedi, Shane A Norris, Catherine E Draper

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Article in African journal of primary health care & family medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

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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

7 authors.

Khuthala MabethaSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg. khuthala.mabetha@wits.ac.za.
Larske M Soepnel
Sonja Klingberg
Gugulethu Mabena
Molebogeng Motlhatlhedi
Shane A Norris
Catherine E Draper

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough studies from high-income countries have examined social support during pregnancy, it remains unclear what type of support is received by expectant mothers from low- and middle-income country settings.

aimTo explore young women's social support networks during pregnancy in Soweto, South Africa.

settingThis study was undertaken in an academic hospital based in the Southwestern Townships (Soweto), Johannesburg, in Gauteng province, South Africa.

methodsAn exploratory descriptive qualitative approach was employed. Eighteen (18) young pregnant women were recruited using a purposive sampling approach. In-depth interviews were conducted, and data were analysed using inductive thematic analysis.

resultsAnalysis of the data resulted in the development of two superordinate themes namely; (1) relationships during pregnancy and (2) network involvement. Involvement of the various social networks contributed greatly to the young women having a greater sense of potential parental efficacy and increased acceptance of their pregnancies. Pregnant women who receive sufficient social support from immediate networks have increased potential to embrace and give attention to pregnancy-related changes.

conclusionFocusing on less-examined characteristics that could enhance pregnant women's health could help in the reduction of deaths that arise because of pregnancy complications and contribute in globally accelerating increased accessibility to adequate reproductive health.Contribution: This study's findings emphasise the necessity for policymakers and healthcare providers to educate the broader community about the importance of partner, family and peer support to minimise risks that may affect pregnancy care and wellbeing of mothers.

Indexed as

Qualitative ResearchSocial SupportAdolescentAdultFemaleHumansInterviews as TopicPregnancyPregnant PeopleSouth AfricaYoung Adultmaternal healthpregnancy caresocial supportSouth Africa.Sowetowellbeing

Identifiers

PMID38708725
PMCPMC11079395

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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.