在印度东北部州的剖腹产分娩和决定性因素:贝叶斯对面积数据的时空分析
Kh Jitenkumar Singh1, Krishna Kumar2, Deboshree Das3
1Data Centre, Indian Council of Medical Research, New Delhi, India.
The Indian journal of medical research
|April 21, 2025
概括
印度东北各州的剖腹产率从2011年至2019年大幅增加. 诸如产妇年龄,教育,肥胖和财富等因素与这一增长有关,需要有针对性的医疗干预措施.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 孕产妇健康 孕产妇健康
背景情况:
- 剖腹产是安全分娩的重要手术程序,当阴道分娩对母亲或婴儿构成风险时.
- 了解CS率的趋势和驱动因素对于优化母婴健康结果至关重要.
- 印度东北部各州为研究CS交付模式提供了一个独特的人口和医疗保健景观.
研究的目的:
- 调查印度东北各州剖腹产率的时空模式.
- 确定与增加CS交付率相关的关键社会人口统计和健康因素.
- 为医疗保健政策和干预策略提供基于证据的见解.
主要方法:
- 来自2011-2019年全国家庭健康调查 (NFHS 3,4和5) 三轮的横截面数据的分析.
- 对CS交付的相对风险 (RR) 的估计和空间自相关性 (全球和本地) 的评估.
- 应用贝叶斯空间时空建模与马尔科夫链蒙特卡洛模拟进行可靠的分析.
主要成果:
- 东北州的CS率大幅上升,从2001年的5.4%上升到2019年的19.9%.
- 在2011年至2019年期间,观察到高风险空间集群 (空间分析的本地指标) 显著增加.
- 母亲年龄,教育,肥胖和家庭财富状况被确定为较高CS风险的显著预测因素 (RR > 1).
- 在整个9年的研究期间,CS风险的明显时空上升趋势显而易见.
结论:
- 该研究强调,从2011年到2019年,印度东北部各州的剖腹产分娩率显著上升.
- 调查结果强调需要加强医疗保健干预措施和监管措施,以管理和潜在地减少过度使用CS.
- 建议针对具有高CS分娩率的地区制定有针对性的计划,以确保适当地利用外科分娩服务.
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