Research coordinator at the Faculty of Egyptian Society of Royal College of Obstetrics and Gynaecology, (ERC-RCOG), 42 Abdel Monem Road, Mohandseen, Cairo, 11231, Egypt.
Faculty of Medicine-Benha University, El-Shaheed Farid Nada, Qism Banha, Banha, Al Qalyubia Governorate, Egypt.
Women Birth. 2020 Mar;33(2):e105-e110. doi: 10.1016/j.wombi.2019.03.009. Epub 2019 Apr 13.
Egypt has the third highest caesarean section rate (54%) in the world and lacks a standard classification system to analyse caesarean section rates. The World Health Organization (WHO) recommends the Robson classification as an effective caesarean section analysis and monitoring tool.
To analyse the caesarean section rate of Benha University Hospital, Egypt using the standard 10-Group Robson classification system.
A prospective, cross-sectional study was conducted at the Benha University Hospital from 1 April to 30 June 2018. All women admitted for childbirth were categorised into Robson groups to determine the absolute and relative contribution made by each group to the overall caesarean section rate. Epi Data V.3.1 software programme was used to analyse the data.
850 women gave birth during the study period, 466 (55%) by caesarean section (CS). Robson Group 5 (multiparous, term, cephalic presentation and previous caesarean section) contributed the most (36%) to the overall CS rate. 175/308 (56%) women in this group had previously undergone one caesarean section. Group 6 (all nulliparous women with single breech pregnancy) and Group10 (cephalic preterm pregnancies) were the second and the third greatest contributors toward the overall CS rate, with 4.6% and 2.8% respectively.
In keeping with other studies, Groups 5, 6, and 10 were the main contributors to the overall caesarean section rate. We found Robson classification to be clinically relevant and an effective tool to analyse the caesarean section rate even in settings with limited resources.
埃及的剖宫产率(54%)位居世界第三,且该国缺乏标准的分类系统来分析剖宫产率。世界卫生组织(WHO)推荐使用 Robson 分类法作为一种有效的剖宫产分析和监测工具。
使用标准的 10 组 Robson 分类系统分析埃及本哈大学医院的剖宫产率。
本研究为前瞻性、横断面研究,于 2018 年 4 月 1 日至 6 月 30 日在本哈大学医院进行。将所有入院分娩的妇女分为 Robson 组,以确定每组对总剖宫产率的绝对和相对贡献。使用 Epi Data V.3.1 软件程序对数据进行分析。
研究期间有 850 名妇女分娩,其中 466 名(55%)行剖宫产。Robson 组 5(多胎、足月、头位和既往剖宫产)对总剖宫产率的贡献最大(36%)。该组 175/308(56%)的妇女既往行过一次剖宫产。组 6(所有单臀先露的初产妇)和组 10(头位早产妊娠)是总剖宫产率的第二和第三大贡献者,分别为 4.6%和 2.8%。
与其他研究一致,组 5、6 和 10 是总剖宫产率的主要贡献者。我们发现 Robson 分类法具有临床相关性,即使在资源有限的情况下,也是一种分析剖宫产率的有效工具。