Your browser doesn't support javascript.

BVS CLAP/SMR-OPS/OMS

Centro Latinoamericano de Perinatología, Salud de la Mujer y Reproductiva

Home > Búsqueda > ()
XML
Imprimir Exportar

Formato de exportación:

Exportar

Email
Adicionar mas contactos
| |

A global reference for caesarean section rates (C-Model): a multicountry cross-sectional study

Souza, JP; Betran, AP; Dumont, A; de Mucio, B; Gibbs Pickens, CM; Deneux-Tharaux, C; et, al.
BJOG ; 123(3): 427-436, 2016.
Artículo en Inglés | MMyP, UY-BNMED, BNUY | ID: biblio-1127923

Objective:

To generate a global reference for caesarean section (CS) rates at health facilities.

Design:

Cross-sectional study.

Setting:

Health facilities from 43 countries. Population/sample Thirty eight thousand three hundred and twenty-four women giving birth from 22 countries for model building and 10,045,875 women giving birth from 43 countries for model testing.

Methods:

We hypothesised that mathematical models could determine the relationship between clinical-obstetric characteristics and CS. These models generated probabilities of CS that could be compared with the observed CS rates. We devised a three-step approach to generate the global benchmark of CS rates at health facilities creation of a multi-country reference population, building mathematical models, and testing these models. Main outcome

measures:

Area under the ROC curves, diagnostic odds ratio, expected CS rate, observed CS rate.

Results:

According to the different versions of the model, areas under the ROC curves suggested a good discriminatory capacity of C-Model, with summary estimates ranging from 0.832 to 0.844. The C-Model was able to generate expected CS rates adjusted for the case-mix of the obstetric population. We have also prepared an e-calculator to facilitate use of C-Model (www.who.int/reproductivehealth/publications/maternal_perinatal_health/c-model/en/).

Conclusions:

This article describes the development of a global reference for CS rates. Based on maternal characteristics, this tool was able to generate an individualised expected CS rate for health facilities or groups of health facilities. With C-Model, obstetric teams, health system managers, health facilities, health insurance companies, and governments can produce a customised reference CS rate for assessing use (and overuse) of CS. (AU)
Biblioteca responsable: UY4.1