基于Robson分类的决策支持系统是否足以降低剖宫产率?

J. Gaspar, Z. Reis, Juliana Silva Barra
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引用次数: 0

摘要

剖宫产率是衡量获得产科服务情况的重要全球指标。2001年,Robson提出将CS分为10组作为比较手术率的最合适方法。然而,有一个来自罗布森分类的决策支持系统足以降低CS率吗?2016年在公立医院产科进行的分娩分析显示1946例分娩,其中35.7%为CS,呈正增长趋势(R2 = 0.137)。每月对Robsons分类中合并的1至4组进行分析,可以制定目标,以改善劳动辅助,并在可预防的情况下预防分娩组的CS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is a Decision Support System Based on Robson's Classification Enough to Reduce Cesarean Section Rates?
The cesarean section (CS) rates are important global indicators for measuring the access to obstetric services. In 2001, Robson proposed a CS classification in ten-groups as the most appropriate to compare surgery rates. However, having a decisional support system from Robsons Classification is enough to reduce CS rates? The births analysis that occurred in 2016, inside a public hospital maternity, showed 1,946 deliveries of which 35.7% were CS with a positive growth trend (R2 = 0.137). The monthly analysis of the combined groups 1 to 4 from Robsons Classification allows the development of goals to improve labour assistance, and also preventing CS in parturient groups where preventable.
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