作者
JP Souza, AP Betran, A Dumont, B Mucio, Gibbs Pickens, C Deneux‐Tharaux, E Ortiz‐Panozo, E Sullivan, E Ota, G Togoobaatar, G Carroli, H Knight, J Zhang, JG Cecatti, JP Vogel, K Jayaratne, MC Leal, M Gissler, N Morisaki, N Lack, OT Oladapo, Ö Tunçalp, P Lumbiganon, R Mori, S Quintana, AD Costa Passos, AC Marcolin, A Zongo, B Blondel, B Hernández, CJ Hogue, C Prunet, C Landman, C Ochir, C Cuesta, C Pileggi‐Castro, D Walker, D Alves, E Abalos, ECD Moises, EM Vieira, G Duarte, G Perdona, I Gurol‐Urganci, K Takahiko, L Moscovici, L Campodonico, L Oliveira‐Ciabati, M Laopaiboon, M Danansuriya, M Nakamura‐Pereira, ML Costa, MR Torloni, MR Kramer, P Borges, PB Olkhanud, R Pérez‐Cuevas, SB Agampodi, S Mittal, S Serruya, V Bataglia, Z Li, M Temmerman, AM Gülmezoglu
发表日期
2016/2/1
期刊
BJOG: An International Journal of Obstetrics & Gynaecology
卷号
123
期号
3
页码范围
427-436
简介
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 …
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