Use of the Sentinel System to Examine Medical Product Use and Outcomes During Pregnancy.

IF 4 2区 医学 Q1 PHARMACOLOGY & PHARMACY Drug Safety Pub Date : 2024-10-01 Epub Date: 2024-06-28 DOI:10.1007/s40264-024-01447-z
Jennifer G Lyons, Mayura U Shinde, Judith C Maro, Andrew Petrone, Austin Cosgrove, Maria E Kempner, Susan E Andrade, Jamila Mwidau, Danijela Stojanovic, José J Hernández-Muñoz, Sengwee Toh
{"title":"Use of the Sentinel System to Examine Medical Product Use and Outcomes During Pregnancy.","authors":"Jennifer G Lyons, Mayura U Shinde, Judith C Maro, Andrew Petrone, Austin Cosgrove, Maria E Kempner, Susan E Andrade, Jamila Mwidau, Danijela Stojanovic, José J Hernández-Muñoz, Sengwee Toh","doi":"10.1007/s40264-024-01447-z","DOIUrl":null,"url":null,"abstract":"<p><p>While many pregnant individuals use prescription medications, evidence supporting product safety during pregnancy is often inadequate. Existing electronic healthcare data sources provide large, diverse samples of health plan members to allow for the study of medical product utilization during pregnancy, as well as pregnancy, maternal, and infant outcomes. The Sentinel System is a national medical product surveillance system that includes administrative claims and electronic health record databases from large national and regional health insurers. In addition to these data sources, Sentinel develops and maintains a sizeable selection of analytic tools to facilitate epidemiologic analyses in a way that protects patient privacy and health system autonomy. In this article, we provide an overview of Sentinel System infrastructure, including the Mother-Infant Linkage Table, parameterizable analytic tools, and algorithms to estimate gestational age and identify pregnancy outcomes. We also describe past and future Sentinel work that contributes to our understanding of the way medical products are used and the safety of these products during pregnancy.</p>","PeriodicalId":11382,"journal":{"name":"Drug Safety","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Safety","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s40264-024-01447-z","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

While many pregnant individuals use prescription medications, evidence supporting product safety during pregnancy is often inadequate. Existing electronic healthcare data sources provide large, diverse samples of health plan members to allow for the study of medical product utilization during pregnancy, as well as pregnancy, maternal, and infant outcomes. The Sentinel System is a national medical product surveillance system that includes administrative claims and electronic health record databases from large national and regional health insurers. In addition to these data sources, Sentinel develops and maintains a sizeable selection of analytic tools to facilitate epidemiologic analyses in a way that protects patient privacy and health system autonomy. In this article, we provide an overview of Sentinel System infrastructure, including the Mother-Infant Linkage Table, parameterizable analytic tools, and algorithms to estimate gestational age and identify pregnancy outcomes. We also describe past and future Sentinel work that contributes to our understanding of the way medical products are used and the safety of these products during pregnancy.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用哨兵系统检查孕期医疗产品的使用情况和结果。
虽然许多孕妇会使用处方药,但支持孕期产品安全性的证据往往不足。现有的电子医疗保健数据源提供了大量不同的健康计划成员样本,可用于研究怀孕期间医疗产品的使用情况,以及怀孕、孕产妇和婴儿的结局。哨兵系统(Sentinel System)是一个全国性的医疗产品监测系统,包括来自全国性和地区性大型医疗保险公司的行政索赔和电子健康记录数据库。除这些数据源外,哨兵系统还开发并维护了大量分析工具,以保护患者隐私和医疗系统自主权的方式促进流行病学分析。在本文中,我们将概述哨兵系统的基础设施,包括母婴关联表、可参数化的分析工具以及估算孕龄和确定妊娠结局的算法。我们还介绍了哨兵系统过去和未来的工作,这些工作有助于我们了解医疗产品的使用方式以及这些产品在孕期的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Drug Safety
Drug Safety 医学-毒理学
CiteScore
7.60
自引率
7.10%
发文量
112
审稿时长
6-12 weeks
期刊介绍: Drug Safety is the official journal of the International Society of Pharmacovigilance. The journal includes: Overviews of contentious or emerging issues. Comprehensive narrative reviews that provide an authoritative source of information on epidemiology, clinical features, prevention and management of adverse effects of individual drugs and drug classes. In-depth benefit-risk assessment of adverse effect and efficacy data for a drug in a defined therapeutic area. Systematic reviews (with or without meta-analyses) that collate empirical evidence to answer a specific research question, using explicit, systematic methods as outlined by the PRISMA statement. Original research articles reporting the results of well-designed studies in disciplines such as pharmacoepidemiology, pharmacovigilance, pharmacology and toxicology, and pharmacogenomics. Editorials and commentaries on topical issues. Additional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in Drug Safety Drugs may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand important medical advances.
期刊最新文献
Views on the Development and Use of a New Digital Adverse Drug Event Reporting Platform in Australia: A Qualitative Study. Tardive Dyskinesia with Antipsychotic Medication in Children and Adolescents: A Systematic Literature Review. Identification of Pregnancy Adverse Drug Reactions in Pharmacovigilance Reporting Systems: A Novel Algorithm Developed in EudraVigilance. Enhanced Safety Surveillance of GSK's Inactivated Quadrivalent Seasonal Influenza Vaccine in Belgium, Germany, and Spain During the 2022/2023 Influenza Season. Optimal Significance Levels and Sample Sizes for Signal Detection Methods Based on Non-constant Hazards.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1