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基于剖宫产术的十组 Robson 分类的统计工具包的验证。

Validation of a statistical toolkit based on the ten-group Robson Classification of cesarean delivery.

机构信息

Department of Obstetrics & Gynecology, Sidra Medicine, Doha, Qatar.

Department of Obstetrics & Gynecology, Al-Wakra Hospital, Hamad Medical Corporation (HMC), Doha, Qatar.

出版信息

Int J Gynaecol Obstet. 2020 Apr;149(1):71-75. doi: 10.1002/ijgo.13091. Epub 2020 Jan 7.

DOI:10.1002/ijgo.13091
PMID:31894576
Abstract

OBJECTIVE

To assess the validity of a statistical toolkit based on the original ten-group Robson Classification of cesarean delivery.

METHODS

A retrospective pilot study at Al Wakra Hospital in Doha, Qatar, was conducted from June 1 to June 30, 2017, involving consecutive women undergoing cesarean delivery, using a three-stage approach. A Microsoft Excel-based toolkit was developed by dividing each of the 10 groups of the original Robson Classification into clinical groups and subgroups. A critical review of the toolkit was then undertaken by four independent physicians based on different potential clinical scenarios that could culminate in cesarean delivery in each Robson group. The toolkit was validated by populating it with the data of the cesarean deliveries of the women involved in the study.

RESULTS

The data from cesarean deliveries of 153 women were utilized in the pilot study. The toolkit catered for and successfully accommodated 94.8% of the cases without any need for change. The remaining 5.2% of cases required additional adjustments in the toolkit. The toolkit provided instant access to important data about the labor and delivery which could be used for audit and research purposes and ultimately for service improvement.

CONCLUSION

The toolkit significantly improved the clinical efficacy of the Robson Classification as a potential statistical tool for comparison of local and international data.

摘要

目的

评估基于原始十组 Robson 剖宫产分类的统计工具包的有效性。

方法

2017 年 6 月 1 日至 30 日,在卡塔尔多哈的 Al Wakra 医院进行了一项回顾性试点研究,涉及连续进行剖宫产的女性,采用三阶段方法。通过将原始 Robson 分类的每一组分为临床组和亚组,开发了一个基于 Microsoft Excel 的工具包。然后,由四名独立医生根据可能导致每个 Robson 组中剖宫产的不同潜在临床情况,对工具包进行了批判性审查。通过在其中填充参与研究的女性的剖宫产数据,对工具包进行了验证。

结果

该试点研究共使用了 153 名剖宫产分娩妇女的数据。该工具包涵盖并成功适应了 94.8%的病例,无需任何更改。剩下的 5.2%的病例需要对工具包进行额外的调整。该工具包可即时获取有关分娩的重要数据,可用于审核和研究目的,并最终用于改善服务。

结论

该工具包显著提高了 Robson 分类作为比较本地和国际数据的潜在统计工具的临床效果。

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