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Prevalence, urban-rural disparity and determinants of caesarean section delivery among women delivering at health facilities in 48 low- and middle-income countries

A multilevel and decomposition analysis

Bibliographic Data

ID21880602
AuthorsBelayneh Jejaw Abate (0009-0003-7649-2830, University of Gondar), Gezahagn Demsu Gedefaw (0009-0003-3584-4545, University of Gondar), Temesgen Birlie Asmare (Debre Tabor University), Biruk Demissie (0009-0007-0708-4891, Debre Tabor University), Negesse Zurbachew Gobezie (0000-0002-8401-309X, Debre Tabor University), Habtie Bantider Wubet (0009-0007-7827-1416, Debre Tabor University), Kumlachew Geta Belete (0000-0001-5881-1285, Debre Tabor University), Abere Gebru Abuhay (0009-0001-8452-3436, Debre Tabor University), Birhanu Mengist Munie (Debre Tabor University), Wubet Tazeb Wondie (0000-0003-1522-7905, Ambo University), Khadijat Adeleye (0000-0001-7560-5504, University of Massachusetts Amherst)
Year2025
Volume10
Issue12
Pagese021342
Publication date2025-12-01
Open AccessYes
TypeARTICLE
VenueBMJ Global Health (JOURNAL)
Journal identifiersISSN: 2059-7908 • E-ISSN: 2059-7908
PublisherBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2025-021342
PMID41338921
OpenAlexW4416959811
LanguageEN
References cited37

INTRODUCTION: Caesarean section rates have increased globally, exceeding the WHO's recommended threshold of 15%. Understanding the prevalence, sociogeographic disparities and determinants of caesarean section delivery is essential for optimising its use and improving maternal and child health outcomes. METHODS: The study used demographic and health survey data, which was conducted between 2015 and 2024 in 48 low- and middle-income countries with a total of 387 397 weighted samples. STATA V.17 was used to extract, recode and perform statistical analyses. Mixed-effects multilevel logistic regression was used to identify the significant predictors of caesarean section delivery. Statistical significance was set at a p value<0.05. A logit-based multivariate decomposition analysis was applied to examine rural-urban disparities in caesarean delivery use. RESULTS: The prevalence of caesarean section delivery among women delivering at health facilities was 19.9% (95% CI 19.7% to 20.1%). History of terminated pregnancy, four or more antenatal care visits, higher wealth quintile, higher education status, age at first birth, insurance coverage, media exposure and residing in urban areas were significant predictors of caesarean section delivery. The decomposition analysis showed that 61.8% of the rural-urban caesarean section gap was due to differences in characteristics (endowments), while 38.2% stemmed from differences in their effects (coefficients). CONCLUSION: Caesarean delivery rates in low- and middle-income countries surpass the WHO's recommended thresholds, with marked socioeconomic and geographic disparities. Key determinants of caesarean delivery use and urban-rural gaps highlight structural inequalities in healthcare access and delivery. Targeted interventions are needed to enhance equitable access to quality maternal care, refine financing and promote maternal education

Caesarean delivery · Caesarean section · Health care · Inequality · Maternal health · Multilevel model · Psychological intervention · Socioeconomic status · Global Health and Surgery · Global Maternal and Child Health · Maternal and Perinatal Health Interventions

  • Global epidemiology of use of and disparities in caesarean sections

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  • Rural–urban disparity in community-based health insurance enrollment in Ethiopia

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  • Trends and projections of caesarean section rates

    Open Access•Ana Pilar Betran, Jiangfeng Ye et al.•BMJ Global Health•2021

  • Does Advanced Maternal Age Comprise an Independent Risk Factor for Caesarean Section? A Population-Wide Study

    Open Access•Aneta Šťastná, T Fait et al.•International Journal of…•2022

  • Role of Parity and Age in Cesarean Section Rate among Women

    Open Access•Reem Falah Alshammari, Farida Habib Khan et al.•International Journal of…•2023

  • Do free caesarean section policies increase inequalities in Benin and Mali

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  • Observed trends in the magnitude of socioeconomic and area-based inequalities in use of caesarean section in Ethiopia

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  • Caesarian sections in developing countries

    Open Access•XAVIER DE MUYLDER•Health Policy and Planning•1993

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