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Analysis of Caesarean Section Rates Using the Robson Classification System at a University Hospital in Spain

Authors: Rafael Vila-Candel; Anna Martín; Ramón Escuriet; Enrique Castro-Sánchez; Francisco Javier Soriano-Vidal;

Analysis of Caesarean Section Rates Using the Robson Classification System at a University Hospital in Spain

Abstract

Background: The WHO recommends the use of the Robson ten-group classification system (RTGCS) as an effective monitoring and analysis tool to assess the use of caesarean sections (CS). The present study aimed to conduct an analysis of births using the RTGCS in La Ribera University Hospital over nine years and to assess the levels and trends of CS births. Methods: Retrospective study between January 1, 2010, and December 31, 2018. All eligible women were allocated in RTGCS to determine the absolute and relative contribution made by each group to the overall CS rate; linear regression and weighted least squares regression analysis were used to analyze trends over time. The risk of CS of women with induced versus spontaneous onset of labor was calculated with an odds ratio (OR) with a 95% CI. Results: 16,506 women gave birth during the study period, 19% of them by CS. Overall, 20.4% of women were in group 1 (nulliparous, singleton cephalic, term, spontaneous labor), 29.4% in group 2 (nulliparous, singleton cephalic, term, induced labor or caesarean before labor), and 12.8% in group 4 (multiparous, singleton cephalic, term, induced or caesarean delivery before labor) made the most significant contributions to the overall rate of CS; Conclusions: In our study, Robson Groups 1, 2, and 4, were identified as the main contributors to the hospital’s overall CS rate. The RTGCS provides an easy way of collecting information about the CS rate, is a valuable clinical method that allows standardized comparison of data, and time point, and identifies the groups driving changes in CS rates.

Countries
United Kingdom, Spain, Spain
Keywords

Biotecnología, Medicina ii, Ciências agrárias i, Nutrição, labor, Toxicology, Naixement, Hospitals, University, Educação física, Medicina iii, Pregnancy, Engenharias i, Zootecnia / recursos pesqueiros, Geociências, Labor, Obstetric, Geografía, Biodiversidade, Engenharias ii, Astronomia / física, R, Public health, environmental and occupational health, Química, Farmacia, Pollution, Saúde coletiva, Parity, Educação, Materiais, Female, Ciências biológicas i, Ciência da computação, 330, Health, toxicology and mutagenesis, 610, Medicina i, Odontología, Robson ten-group classification system, Article, Administração pública e de empresas, ciências contábeis e turismo, Ciências biológicas iii, Ciências ambientais, Serviço social, Humans, Espanya, Environmental studies, Retrospective Studies, Cesària (Operació), Cesarean Section, Enfermagem, Interdisciplinar, Part, Psicología, Robson classificació, Ensino, Environmental sciences, Spain, caesarean section, Ciências biológicas ii, delivery classification, Obstetrícia, Public, environmental & occupational health

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
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