Use of Routinely Collected "Real-world" Data for the Postlicensure Safety Assessment of Vaccination During Pregnancy

被引：0
|
作者：
Regan, Annette K. [1 ,2 ]
Rowe, Stacey L. [1 ,3 ]
机构：
[1] Univ San Francisco, Sch Nursing & Hlth Profess, Dept Hlth Profess, San Francisco, CA USA
[2] Univ Calif Los Angeles, Fielding Sch Publ Hlth, Dept Epidemiol, Los Angeles, CA USA
[3] Monash Univ, Sch Med Nursing & Hlth Sci, Dept Publ Hlth & Prevent Med, Melbourne, Vic, Australia
来源：
PEDIATRIC INFECTIOUS DISEASE JOURNAL | 2025年 / 44卷 / 02期
关键词：
vaccine safety; pregnancy; maternal vaccination; vaccine surveillance; observational studies; real-world data;
D O I：
10.1097/INF.0000000000004606
中图分类号：
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号：
100102 ;
摘要：
Real-world data can be used to evaluate the postlicensure safety of vaccines during pregnancy. However, these studies often require special design considerations to minimize bias. We offer 4 recommendations for maximizing the use of real-world data for vaccine safety evaluations during pregnancy, including the application of robust methodology, standardized outcome definitions, global collaboration and platforms for data sharing.
引用
收藏
页码：S108 / S110
页数：3
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