改善和调整低收入和中等收入国家的孕产妇死亡率估计方法:一个范围审查
Maya Tholandi1, Siem Zethof2, Young-Mi Kim3
1Faculty of Science, Athena Institute, VU University, Amsterdam, The Netherlands.
概括
通过结合多个数据来源和社区参与,提高了低收入和中等收入国家 (LMICs) 的产妇死亡率 (MMR) 估计. 像生殖年龄死亡率调查 (RAMOS) 这样的适应方法提高了数据的有效性和当地意识.
科学领域:
- 公共卫生 公共卫生
- 人口统计学 人口统计学
- 全球健康 全球健康
背景情况:
- 低收入和中等收入国家 (LMICs) 往往缺乏强大的重要登记系统来估计产妇死亡率 (MMR).
- 现有的MMR估计方法在LMICs的适应研究是有限的.
- 准确的MMR估计对于减少可预防的孕产妇死亡至关重要.
研究的目的:
- 评估用于估计LMIC产妇死亡率的方法.
- 了解修改这些方法背后的逻辑.
- 确定有效的策略,以改善资源有限的环境中的MMR数据收集.
主要方法:
- 从2013年1月到2023年3月,在多个数据库 (Medline,Embase,Web of Science,Scopus,CINAHL,APA PsycINFO,ERIC,IBSS) 中进行了全面的文献搜索.
- 包括专注于比较,调整或评估LMIC产妇死亡率估计方法的研究.
- 数据提取涉及死亡率测量技术,其背景和结果,由两个独立审查员进行查和审查.
主要成果:
- 19项研究强调了数据完整性,地方估计和社区参与的重要性.
- 三元化多个数据源 (医疗机构,社区,重要登记,警察报告) 提高了例行生成的MMR估计的完整性.
- 适应的方法,如生殖年龄死亡率调查 (RAMOS) 和图形姐妹方法,提供了可靠的地方估计,而社区参与改善了当地意识,并可能降低了成本.
结论:
- 结合社区参与的家庭调查和生殖年龄死亡率调查 (RAMOS) 可以提高数据的有效性.
- 这些方法提高了当地对产妇死亡率估计的认识,并可能导致LMICs的成本降低.
- 进一步的研究应该探索这些适应方法的成本效益.
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