Liang Ou Stella, Sheffield Jeanne S, Taylor Casey Overby
Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
College of Computing and Informatics, Drexel University, Philadelphia, PA.
AMIA Jt Summits Transl Sci Proc. 2019 May 6;2019:478-487. eCollection 2019.
Pharmacovigilance studies for the pregnancy population are an important tool to address the teratogenic and maternal effects of prescription drugs.
We sought to leverage existing data to provide empirical evidence that reflects current drug utilization by pregnant/lactating women for pharmacovigilance and effective study designs.
Temporal patterns of prescription drug use during pregnancy and lactation for four clinical conditions were visualized using a R package and an administrative claims dataset representing nationwide privately-insured women.
During the years 2010 to 2014, there was a significant increase (p < 0.001) in overall use of opioid, antidepressant, antihypertensive, and antidiabetic prescriptions. Hydrocodone, sertraline, labetalol, and metformin were the most common prescriptions for perinatal use in its respective category. Trimester-specific prescription patterns were reported.
Visualization of administrative claims data can quickly detect temporal patterns of prescription drug use during pregnancy and lactation.
针对妊娠人群的药物警戒研究是解决处方药致畸和对母体影响的重要工具。
我们试图利用现有数据提供实证证据,以反映孕妇/哺乳期妇女当前的药物使用情况,用于药物警戒和有效的研究设计。
使用一个R软件包和一个代表全国范围内参加私人保险妇女的行政索赔数据集,直观展示了四种临床情况下孕期和哺乳期处方药使用的时间模式。
在2010年至2014年期间,阿片类药物、抗抑郁药、抗高血压药和抗糖尿病药处方的总体使用量显著增加(p < 0.001)。氢可酮、舍曲林、拉贝洛尔和二甲双胍分别是各自类别中围产期最常用的处方药物。报告了按孕期划分的处方模式。
行政索赔数据的直观展示可以快速检测孕期和哺乳期处方药使用的时间模式。