评估剖宫产率根据罗布森分类使用新开发的智能手机应用程序在斯里兰卡三级中心:一个比较研究。

IF 2.7 2区 医学 Q1 OBSTETRICS & GYNECOLOGY BMC Pregnancy and Childbirth Pub Date : 2025-01-31 DOI:10.1186/s12884-025-07165-3
Chandana Jayasundara, Indunil Piyadigama, Asanka Jayawardane, Ananda Perera
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摘要

目的:斯里兰卡的剖腹产率显著上升,预测显示到2025年,超过一半的分娩可能涉及剖腹产。为了解决这一上升问题并降低孕产妇发病率,CS手术在医学上是合理的至关重要。本研究评估RobsApp®,一种新颖的智能手机应用程序,旨在收集基于Robson分类的CS率的高质量前瞻性数据。方法:采用RobsApp®在斯里兰卡De Soysa妇女医院(DSHW)教授科室进行数据收集。从2019年4月至10月期间的1712次交付中前瞻性地收集了数据。分析的重点是不同Robson类别的CS率和收集数据的质量,并将其与以前使用传统方法获得的数据进行比较。结果:总CS率为33.0%,以Robson 5a类为主。急诊CS占所有手术的49.6%,心脏造影(CTG)异常是主要指征。通过RobsApp®收集的数据质量符合Robson指南推荐的标准,该研究能够准确地对交付进行分类并评估CS率。结论:RobsApp®已被证明是前瞻性数据收集的有效工具,与Robson指南保持一致,并促进高质量的数据收集。该研究揭示了DSHW的CS发病率呈上升趋势,特别是由于先前CS之外的原因。在未来的研究中纳入人口统计数据和出生体重分析将加强比较,并深入了解如何降低新生儿死亡率。伦理:获得了科伦坡大学医学院伦理审查委员会(Ref - EC-19-024)的伦理批准,不再需要个人同意。研究遵循《赫尔辛基宣言》。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Evaluation of caesarean rates according to Robson classification using a newly developed smart phone application in a tertiary center in Sri Lanka: a comparative study.

Objective: Caesarean section (CS) rates in Sri Lanka have escalated significantly, with projections indicating that over half of all births may involve CS by 2025. To address this rise and mitigate maternal morbidity, it is essential that CS procedures are medically justified. This study evaluates RobsApp®, a novel smartphone application designed to collect high-quality prospective data on CS rates based on the Robson classification.

Methods: The study utilized RobsApp® for data collection in the Professorial Unit of De Soysa Hospital for Women (DSHW), Sri Lanka. Data were collected prospectively from 1,712 deliveries between April and October 2019. The analysis focused on CS rates across different Robson categories and the quality of the collected data, comparing them with previous data obtained using traditional methods.

Results: The overall CS rate was 33.0%, with Robson category 5a accounting for most cases. Emergency CS constituted 49.6% of all procedures, with cardiotocograph (CTG) abnormalities being the leading indication. The quality of the data collected through RobsApp® met the standards recommended by the Robson guidance, as evidenced by the study's ability to accurately categorize deliveries and assess CS rates.

Conclusions: RobsApp® has proven to be an effective tool for prospective data collection, aligning well with Robson guidelines and facilitating high-quality data gathering. The study reveals a rising trend in CS rates at DSHW, particularly for reasons beyond previous CS. The inclusion of demographic data and birth weight analysis in future studies will enhance comparisons and insights into reducing CS rates.

Ethics: Ethical approval was obtained from the Ethical Review Committee, Faculty of Medicine, University of Colombo (Ref - EC-19-024) which waived the need for individual consent. Study adhered to the Helsinki Declaration.

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来源期刊
BMC Pregnancy and Childbirth
BMC Pregnancy and Childbirth OBSTETRICS & GYNECOLOGY-
CiteScore
4.90
自引率
6.50%
发文量
845
审稿时长
3-8 weeks
期刊介绍: BMC Pregnancy & Childbirth is an open access, peer-reviewed journal that considers articles on all aspects of pregnancy and childbirth. The journal welcomes submissions on the biomedical aspects of pregnancy, breastfeeding, labor, maternal health, maternity care, trends and sociological aspects of pregnancy and childbirth.
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