Evolution du taux de césariennes dans une maternité universitaire suisse selon la classification de Robson [Evolution of cesarean section rates according to Robson classification in a swiss maternity hospital]

Details

Serval ID
serval:BIB_D059BD6E3C1A
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Title
Evolution du taux de césariennes dans une maternité universitaire suisse selon la classification de Robson [Evolution of cesarean section rates according to Robson classification in a swiss maternity hospital]
Journal
Revue medicale suisse
Author(s)
Haydar A., Vial Y., Baud D., Desseauve D.
ISSN
1660-9379 (Print)
ISSN-L
1660-9379
Publication state
Published
Issued date
25/10/2017
Peer-reviewed
Oui
Volume
13
Number
580
Pages
1846-1851
Language
french
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
We conducted a retrospective study was conducted in the Centre Hospitalier Universitaire Vaudois (CHUV) including all births between the 1st January 1997 and 31st December 2011 to analyze the cesarean section (CS) rate using the different groups of the Robson classification in a Swiss maternity hospital. The overall CS rate was 29 %, mainly related to group 5 (multiparous with previous CS) and group 2 (nulliparous women induced or who had CS before labor). The study also shows that induction of labor on maternal request in nulliparous at term (group 2a) increased significantly the risk of CS compared to induction of labor for medical reason (p<0.001). The Robson classification system appears as a simple tool for monitoring CS rates. The main strategies for reducing CS rates will be through better selection of women for VBAC (vaginal birth after caesarean) and limitation of induction of labor, especially in nulliparous women.
Keywords
Cesarean Section/statistics & numerical data, Female, Hospitals, Maternity/statistics & numerical data, Humans, Pregnancy, Retrospective Studies, Switzerland
Pubmed
Create date
09/11/2017 20:06
Last modification date
20/08/2019 16:50
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