Journal article
Use of the robson classification to assess caesarean section trends in 21 countries: A secondary analysis of two WHO multicountry surveys
JP Vogel, AP Betrán, N Vindevoghel, JP Souza, MR Torloni, J Zhang, Ö Tunçalp, R Mori, N Morisaki, E Ortiz-Panozo, B Hernandez, R Pérez-Cuevas, Z Qureshi, AM Gülmezoglu, M Temmerman
Lancet Global Health | ELSEVIER SCI LTD | Published : 2015
Abstract
Background: Rates of caesarean section surgery are rising worldwide, but the determinants of this increase, especially in low-income and middle-income countries, are controversial. In this study, we aimed to analyse the contribution of specific obstetric populations to changes in caesarean section rates, by using the Robson classification in two WHO multicountry surveys of deliveries in health-care facilities. The Robson system classifies all deliveries into one of ten groups on the basis of five parameters: obstetric history, onset of labour, fetal lie, number of neonates, and gestational age. Methods: We studied deliveries in 287 facilities in 21 countries that were included in both the WH..
View full abstractGrants
Awarded by UNICEF
Funding Acknowledgements
This article represents the views of the named authors only, and does not represent the views of the World Health Organization. JPV is supported by an Australian Postgraduate Award and the A & A Saw Scholarship. The WHO Global Survey on Maternal and Perinatal Health was financially supported by the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction; WHO; the Governments of China, India, and Japan; and the United States Agency for International Development (USAID). The WHO Multi-Country Survey on Maternal and Newborn Health was financially supported by the UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction; WHO; USAID; the Ministry of Health, Labour and Welfare of Japan; and Gynuity Health Projects. We thank all members of the WHO Global Survey on Maternal and Perinatal Health Research Network and the WHO Multi-Country Survey on Maternal and Newborn Health Research Network, including regional and country coordinators, data collection coordinators, facility coordinators, data collectors, and all staff of the participating facilities who made the surveys possible. We thank Armando Seuc who provided valuable assistance for this analysis.