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

Descripción del Articulo

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 inclu...

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Detalles Bibliográficos
Autores: Mosquera Agudelo, José Luis, Martínez Buitrago, Diana Milena, Guevara Chaux, Claudia Lorena, Navas Jojoa, María de los Ángeles, Erazo Barahona, María Isabel, Felipe Paz, Fernando, Figueredo Satizábal, María Fernanda, Gaviria Criollo, Camilo Andrés
Formato: artículo
Fecha de Publicación:2022
Institución:Sociedad Peruana de Obstetricia y Ginecología
Repositorio:Revista Peruana de Ginecología y Obstetricia
Lenguaje:español
inglés
OAI Identifier:oai:ginecologiayobstetricia.pe:article/2384
Enlace del recurso:https://ginecologiayobstetricia.pe/index.php/RPGO/article/view/2384
Nivel de acceso:acceso abierto
Materia:Cesarean section
Vaginal birth after cesarean
Cesárea
clasificación
Parto vaginal luego de cesárea
Descripción
Sumario: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.
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