Pravina Pammy, Ranjana Ranjana, Goel Neeru
Obstetrics and Gynecology, Indira Gandhi Institute of Medical Sciences, Patna, IND.
Cureus. 2022 Mar 13;14(3):e23133. doi: 10.7759/cureus.23133. eCollection 2022 Mar.
Background Since 1985, the international healthcare community has considered the ideal rate for cesarean section (CS) to be between 10% and 15%.However, CS has been increasing both in developed and developing countries. The aim of the present study was to audit CS using Robson's Ten Group Classification System (TGCS). Methodology This retrospective, hospital record-based study was conducted over a period of three years from April 1, 2016, to March 31, 2019, in the Department of Obstetrics and Gynecology at Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India. Data of patients who delivered by CS during this period were recorded and categorized in the 10 groups of TGCS. The size of each group, CS rate, and contribution of each group toward overall CS were calculated. Indications of CS in each group were analyzed, and strategies were planned to optimize the use of CS. The Chi-square test was used to analyse the statistical significance of the differences in the number of CS between the different Robson's groups. Results The total number of deliveries was 2,128 during the study period, of which CS was performed in 812 deliveries, with a CS rate of 38.16% in our institute. Robson's group 5 (34.97%) was the major contributor to the overall CS rate, followed by group 2 (26.35%), group 1 (15.51%), and group 10 (7.14%). The incidence of primary CS (61.82%) was more than repeat CS (38.17%). Previous CS, fetal distress, failed induction, arrest of labor, and malpresentation were the main indications for CS. Conclusions Robson's TGCS serves as an important tool for auditing CS. Indications of CS among major contributors and primary group should be analyzed regularly and uniform and standard protocols should be used. Standardization of indications for CS, regular audits, and definite protocols will help in reducing the CS rate in our hospital.
背景 自1985年以来,国际医疗界认为剖宫产(CS)的理想比例在10%至15%之间。然而,发达国家和发展中国家的剖宫产率都在上升。本研究的目的是使用罗布森十组分类系统(TGCS)对剖宫产进行审核。
方法 这项基于医院记录的回顾性研究于2016年4月1日至2019年3月31日在印度比哈尔邦巴特那英迪拉·甘地医学科学研究所妇产科进行,为期三年。记录在此期间接受剖宫产的患者数据,并将其归类到TGCS的10个组中。计算每组的规模、剖宫产率以及每组对总体剖宫产的贡献。分析每组剖宫产的指征,并制定优化剖宫产使用的策略。使用卡方检验分析不同罗布森组之间剖宫产数量差异的统计学意义。
结果 在研究期间,分娩总数为2128例,其中812例进行了剖宫产,我院的剖宫产率为38.16%。罗布森第5组(34.97%)是总体剖宫产率的主要贡献者,其次是第2组(26.35%)、第1组(15.51%)和第10组(7.14%)。初次剖宫产的发生率(61.82%)高于再次剖宫产(38.17%)。既往剖宫产、胎儿窘迫、引产失败、产程停滞和胎位异常是剖宫产的主要指征。
结论 罗布森TGCS是审核剖宫产的重要工具。应定期分析主要贡献组和主要组中剖宫产的指征,并应使用统一和标准的方案。剖宫产指征的标准化、定期审核和明确的方案将有助于降低我院的剖宫产率。