印度卡纳塔克邦班加罗尔一家三级护理农村医院剖腹产情况审计

Ananya Sarvotham, A. A. Fathima, Chaitanya Indrani
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摘要

背景:由于剖腹产率的上升,世界卫生组织(WHO)将罗布森分类系统作为评估和审核不同医院剖腹产率的全球标准,以降低剖腹产率和相关并发症,同时改善患者护理。本研究旨在对医院的剖腹产数量进行审计。目标是以罗伯逊分类系统为起点,对该院的剖腹产情况进行审核,找出导致剖腹产率的因素:这项以医院为基础的回顾性研究在MVJMC和RH进行。研究对象包括 2023 年 3 月至 2024 年 2 月这一年期间接受剖腹产手术的所有孕妇。所有数据均输入 Microsoft excel 表格,然后根据罗布森分类系统进行分类:我们在研究中发现,剖腹产比例最高的是多产妇,约占剖腹产总数的 66.5%,根据分类,35% 的剖腹产发生在第 3 组,即自然分娩 37 周以上的多产妇。结论全球公认的罗布森分类法应用于医院的定期审核,以遏制剖腹产及其相关的孕产妇和围产期并发症,从而改善对患者的护理。
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Audit of caesarean deliveries in a tertiary care rural hospital of Bangalore, Karnataka, India
Background: Due to the rise in caesarean section rates Robsons classification system was adopted by WHO as a global standard to asses and audit the caesarean section rates within different hospitals, to reduce the caesarean section rates and the associated complications and also improve patient care along with it. The aim of the present study is to audit the number of caesarean deliveries in the hospital. Objective were to audit the caesarean deliveries in the institution using Robsons classification system as the starting point to find the contributing factors responsible for the caesarean section rates. Methods: This retrospective hospital-based study was conducted at MVJMC and RH. The study included all pregnant patients undergoing caesarean section during the period of one year from March 2023 to February 2024. All the data was entered into Microsoft excel, sheet, which was then classified according to Robson’s classification system. Results: In our study we noted that the highest percent of caesarean deliveries was noted among multigravida which contributed about 66.5 of the total caesarean deliveries and according to classification 35% of the caesarean deliveries was noted in group 3 with multiparous women of more than 37 weeks in spontaneous labour.  Conclusions: Globally accepted Robsons classification should be used for regular audits among hospitals to curb the caesarean section and its associated maternal and perinatal complications in order to improve patient care.
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