Cesarean section classification according to Robson's system in a private IPS in Cali, 2017

Authors

  • José Luis Mosquera Agudelo Universidad Libre Seccional Cali, Colombia; Clínica Versalles S.A.; Grupo de Investigación: Grupo Interinstitucional de Ginecología y Obstetricia – GIGYO, de la Universidad Libre Seccional Cali
  • Diana Milena Martínez Buitrago Universidad Libre Seccional Cali, Colombia; Clínica Versalles S.A.; Grupo de Investigación: Grupo Interinstitucional de Ginecología y Obstetricia – GIGYO, de la Universidad Libre Seccional
  • Claudia Lorena Guevara Chaux Universidad Libre Seccional Cali, Colombia; Clínica Versalles S.A.; Grupo de Investigación: Grupo Interinstitucional de Ginecología y Obstetricia – GIGYO, de la Universidad Libre Seccional
  • María de los Ángeles Navas Jojoa Universidad Libre Seccional Cali, Colombia; Clínica Versalles S.A.; Grupo de Investigación: Grupo Interinstitucional de Ginecología y Obstetricia – GIGYO, de la Universidad Libre Seccional
  • María Isabel Erazo Barahona Universidad Libre Seccional Cali, Colombia; Clínica Versalles S.A.; Grupo de Investigación: Grupo Interinstitucional de Ginecología y Obstetricia – GIGYO, de la Universidad Libre Seccional
  • Fernando Felipe Paz Universidad Libre Seccional Cali, Colombia; Clínica Versalles S.A.; Grupo de Investigación: Grupo Interinstitucional de Ginecología y Obstetricia – GIGYO, de la Universidad Libre Seccional
  • María Fernanda Figueredo Satizábal Universidad Libre Seccional Cali, Colombia; Clínica Versalles S.A.; Grupo de Investigación: Grupo Interinstitucional de Ginecología y Obstetricia – GIGYO, de la Universidad Libre Seccional
  • Camilo Andrés Gaviria Criollo Universidad Libre Seccional Cali, Colombia; Clínica Versalles S.A.; Grupo de Investigación: Grupo Interinstitucional de Ginecología y Obstetricia – GIGYO, de la Universidad Libre Seccional

DOI:

https://doi.org/10.31403/rpgo.v68i2384

Keywords:

Cesarean section, Vaginal birth after cesarean

Abstract

Objective: To characterize cesarean sections according to the Robson classification system in a private high complexity PIS, in the period between January 1 - December 31, 2017. Methods: Descriptive, retrospective, cross-sectional study conducted in a private SPI in the city of Cali. The study included pregnant women admitted for delivery care in 2017, a database was constructed in Microsoft Excel 2010, with the variables defined in Robson's classification. The rate of cesarean sections, the relative size of each group and the relative contribution of each group to the overall rate of cesarean sections were calculated, as well as the causes of cesarean sections were analyzed. The results are presented in tables. Results: The overall cesarean section rate was 35.4 %. The groups with the highest contribution to the total percentage of cesarean sections were groups 2, 1 and 10 with 20.4 %, 3.9 % and 3.3 %, respectively. History of previous cesarean section was the main cause. Conclusions: Using Robson's classification, it can be concluded that it is possible to reduce the rate of cesarean section rate by 14 % by intervening in the history of previous cesarean section.

Downloads

Download data is not yet available.

Published

2022-02-24

How to Cite

Mosquera Agudelo, J. L. ., Martínez Buitrago, D. M. ., Guevara Chaux, C. L. ., Navas Jojoa, M. de los Ángeles ., Erazo Barahona, M. I. ., Felipe Paz, F. ., Figueredo Satizábal, M. F. ., & Gaviria Criollo, C. A. . (2022). Cesarean section classification according to Robson’s system in a private IPS in Cali, 2017. The Peruvian Journal of Gynecology and Obstetrics, 68(1). https://doi.org/10.31403/rpgo.v68i2384

Issue

Section

Artículos Originales

Most read articles by the same author(s)

Similar Articles

You may also start an advanced similarity search for this article.