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使用罗布森分类系统对高剖腹产出生率的分娩方式,风险因素和子组的分析
Gulifeiya Abuduxike1, Sanda Cali2, Songül Acar Vaizoğlu2
1Department of Public Health, Faculty of Medicine, Near East University, Near East Boulevard, 99138, Nicosia, Northern Cyprus. gulpiya1@gmail.com.
Maternal and child health journal
|October 15, 2023
概括
这项研究发现,剖腹产率高达50.2%,产科数据质量差. 建议实施罗布森分类系统,以改善数据和有效监测CS率.
科学领域:
- 产科和妇科 产科和妇科
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 剖腹产率是一个全球性的健康问题.
- 评估CS率和相关风险因素对于母亲和婴儿健康至关重要.
- 罗布森分类系统为分析CS数据提供了一种标准化的方法.
研究的目的:
- 分析分娩方式,并确定剖腹产的风险因素.
- 将罗布森分类系统用于数据质量评估和CS率分析,分组进行分类.
- 评估不同罗布森组对整体CS率的贡献.
主要方法:
- 2019年797次交付的回顾性描述性研究.
- 从医疗记录中提取的数据使用开发的proforma.
- 根据六个产科参数,妇女被分为罗布森组.
主要成果:
- 总体的CS比率为50.2% (401/797). 这是一个很好的数字.
- 癌症的危险因素包括母亲的晚年,土耳其塞浦路斯族裔,早产,以前的癌症,多胎儿和异常的胎儿表现.
- 罗布森5组是最大的CS贡献者 (50.7%),其次是10组 (25.3%) 和8组 (9.0%).
结论:
- 鉴定出了不合格的产科数据质量和高的CS率.
- 提高医疗记录质量是首要任务.
- 应该将罗布森分类系统作为标准实践实施,以提高数据质量和监测CS率.
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