怀孕的特征和结果在母亲的结果大师集真实世界的数据库
Liza R Gibbs1,2, Ayad K Ali1, Dawn G Albright3
1Scientific Research and Strategy, Aetion, Inc., New York, New York, USA.
Pharmacoepidemiology and drug safety
|September 25, 2023
概括
这项研究分析了140多万名孕妇患者,发现母婴数据与国家统计数据一致. 有关婴儿的患者的一个子集是怀孕研究的代表.
科学领域:
- 生殖健康 生殖健康
- 围产期流行病学 围产期流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 孕产妇结果大师集 (MOM) 是研究怀孕和婴儿结果的宝贵数据来源.
- 了解患者和婴儿的特征对于改善围产期护理和研究至关重要.
- 以前的研究已经强调了在母婴健康研究中需要具有代表性的数据.
研究的目的:
- 在大型队列中描述患者人口统计和怀孕结果.
- 描述婴儿结果与婴儿数据相关的患者子集.
- 评估与整体队列相比,关联的婴儿子组的代表性.
主要方法:
- 利用了来自MOM数据库的关闭索赔数据 (2018年1月-2021年12月).
- 确定的孕妇患者至少有180天的预先注册.
- 描述了母亲和婴儿的特征,包括妊娠终点和妊娠年龄,整体和婴儿联系.
主要成果:
- 分析了超过140万名孕妇患者;活产是最常见的结果 (42%).
- 在活生生的婴儿中,有35%的婴儿与婴儿有联系;这一子组在健康状况方面相似,但在保险和人口统计方面有所不同.
- 与整体队伍相比,连接婴儿的母亲更有可能拥有商业保险,年龄较大,种族不明.
结论:
- 在MOM数据集中的母婴特征通常与国家统计数据保持一致.
- 有关婴儿的患者子组代表了更大的怀孕队列.
- 这为使用MOM数据用于怀孕和婴儿相关研究提供了信心.
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