Evidence map›Paper›PMID 40745350›Full record

ArticleGlobal health research and policy2025

Two Decades of Change in Childbirth Care in Cambodia (2000-2021): Disparities in Ceasarean Section Utilization Between Public and Private Facilities.

Yanqin Zhang, Dyna Khuon, Vonthanak Saphonn, Peng Jia, Qian Long

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

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yanqin ZhangGlobal Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
Dyna KhuonDepartment of Public Health, University of Health Sciences, Phnom Penh, Cambodia.
Vonthanak SaphonnDepartment of Public Health, University of Health Sciences, Phnom Penh, Cambodia.
Peng JiaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, China.
Qian LongGlobal Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China. qian.long@duke.edu.ORCID http://orcid.org/0000-0003-1444-6815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCambodia, a lower-middle-income country, confronts challenges related to childbirth safety. This study investigated the utilization of childbirth care across public and private health facilities, with a particular focus on the use of caesarean section (C-section). It also examined disparities in service utilization across urban and rural areas and among different socioeconomic statuses.

methodsThis study used cross-sectional data from the Demographic and Health Surveys conducted in Cambodia in 2000, 2005, 2010, 2014 and 2021-22. Descriptive analyses were performed to elucidate changes in place of delivery and C-section rates by public and private health facilities. Logistic regressions were applied using data from 2010 to 2021 to identify factors associated with C-section.

resultsThe facility-based delivery rate significantly increased to 96.5% by 2021, while the overall C-section rate rose to 15.5%. Within public facilities, the C-section rate grew from 5.1% in 2010 to 9.7% in 2021, consistently higher in urban areas compared to rural ones. Notably, C-section utilization in public facilities did not significantly vary among different wealth index groups. From 2010 to 2021, the C-section rates in private facilities surged from 11.0% to 48.1%, with urban and rural rates reaching 50.5% and 45.7%, respectively. In 2021, the richest and richer groups accounted for most C-section deliveries in private facilities, constituting 38.5% and 28.8%, respectively. C-section use was significantly higher in 2021 compared to 2010 (Adjusted OR 3.32, 95% CI [2.72, 4.07]). Women over 20 years old, living in Central Plain, from richer or richest households, had secondary and higher education level, with female household head and had only one child were more likely to undergo a C-section than other women.

conclusionsThe private facilities have significantly driven the increase in C-sections, particularly among wealthier economic groups. Strengthening health system governance and promoting public-private partnerships are vital to curb C-section overuse and ensure equitable and effective childbirth care coverage.

Indexed as

Cesarean SectionDelivery, ObstetricHealthcare DisparitiesHealth FacilitiesMaternal Health ServicesPrivate FacilitiesPublic SectorAdolescentAdultCambodiaCross-Sectional StudiesFemaleHumansMiddle AgedPregnancyRural PopulationCaesarean sectionHealth equityHealth policyHealth systemPublic and private healthcare

Identifiers

PMID40745350
PMCPMC12312384

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LicenceCC BY
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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.