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dc.contributor.authorHernández-Vásquez, A.
dc.contributor.authorChacón-Torrico, H.
dc.contributor.authorBendezu-Quispe, G.
dc.date.accessioned2025-10-31T18:42:18Z
dc.date.available2025-10-31T18:42:18Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/20.500.12805/5959
dc.description.abstractBackground: There is a global concern about the high rates of cesarean birth (CB). This study aimed to investigate the geographic and socioeconomic inequalities in CB rates in the Peruvian population. Methods: We conducted a population-based study using the Peruvian Demographic and Family Health Surveys (ENDES, the Spanish acronym for Encuesta Demográfica y de Salud Familiar) between 2009 and 2018. ENDES reported data from births registered in the five years preceding survey execution. For the years 2009 (n = 10 289) and 2018 (n = 23 077), we calculated the weighted rates of CB among variables such as natural geographic domain (Coast, Andean, or Amazon), area of residence (rural or urban), wealth index quintile (quintile 1 is poorest, and quintile 5 is richest), and educational level. To assess inequalities, we calculated the concentration index (CIs), the slope index of inequality (SII), and the relative index of inequality (RII). Results: The CB rates by year were 21.4% (95% confidence interval [CI]: 20.0-22.9) in 2009 and 34.5% (95% CI: 33.4-35.5) in 2018. Women living in urban and coastal regions and with a higher education level had the highest CB rates. All the CIs were positive, reflecting a prowealthy inequality in CB rates, and both SII and RII were positive, indicating a gap between the use of cesarean in women in the higher wealth quintile compared with those in the lower quintile. Conclusions: Cesarean birth rates have increased by 60% during the last decade in Peru. The richest wealth quintiles had the highest CB rates during the study years, which were well above global recommendations.en_US
dc.description.sponsorshipThis research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. We would like to acknowledge the National Institute of Statistics and Informatics for the publicly available data set used in this work. The authors are grateful to Donna Pringle for reviewing the language and style.
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherJohn Wiley and Sons
dc.relation.ispartofurn:issn:1523-536X
dc.rightshttps://purl.org/coar/access_right/c_abf2
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectSDG 10en_US
dc.subjectMaternal Health and Delivery Outcomes in Obstetricsen_US
dc.subjectFactors Influencing Cesarean Section Rates and Outcomesen_US
dc.titleGeographic and socioeconomic inequalities in cesarean birth rates in Peru: A comparison between 2009 and 2018en_US
dc.typehttps://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.doihttps://doi.org/10.1111/birt.12572
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.02.02
dc.type.otherResearch article
dc.identifier.journalBirth
dc.type.versionhttps://purl.org/coar/version/c_970fb48d4fbd8a85


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