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使用初级源数据采集方法进行妊娠药物警戒研究的核心数据元素:来自 IMI ConcePTION 项目的建议。

Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project.

机构信息

UK Teratology Information Service, The Regional Drug and Therapeutics Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, 16/17 Framlington Place, Newcastle upon Tyne, NE2 4AB, Tyne and Wear, UK.

Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK.

出版信息

Drug Saf. 2023 May;46(5):479-491. doi: 10.1007/s40264-023-01291-7. Epub 2023 Mar 28.

DOI:10.1007/s40264-023-01291-7
PMID:36976447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10164024/
Abstract

INTRODUCTION AND OBJECTIVE

The risks and benefits of medication use in pregnancy are typically established through post-marketing observational studies. As there is currently no standardised or systematic approach to the post-marketing assessment of medication safety in pregnancy, data generated through pregnancy pharmacovigilance (PregPV) research can be heterogenous and difficult to interpret. The aim of this article is to describe the development of a reference framework of core data elements (CDEs) for collection in primary source PregPV studies that can be used to standardise data collection procedures and, thereby, improve data harmonisation and evidence synthesis capabilities.

METHODS

This CDE reference framework was developed within the Innovative Medicines Initiative (IMI) ConcePTION project by experts in pharmacovigilance, pharmacoepidemiology, medical statistics, risk-benefit communication, clinical teratology, reproductive toxicology, genetics, obstetrics, paediatrics, and child psychology. The framework was produced through a scoping review of data collection systems used by established PregPV datasets, followed by extensive discussion and debate around the value, definition, and derivation of each data item identified from these systems.

RESULTS

The finalised listing of CDEs comprises 98 individual data elements, arranged into 14 tables of related fields. These data elements are openly available on the European Network of Teratology Information Services (ENTIS) website ( http://www.entis-org.eu/cde ).

DISCUSSION

With this set of recommendations, we aim to standardise PregPV primary source data collection processes to improve the speed at which high-quality evidence-based statements can be provided about the safety of medication use in pregnancy.

摘要

简介和目的

药物在妊娠中的风险和益处通常通过上市后观察性研究来确定。由于目前尚无标准化或系统的方法来评估妊娠期间药物的安全性,因此通过妊娠药物警戒(PregPV)研究生成的数据可能存在异质性,且难以解释。本文的目的是描述一种核心数据元素(CDE)的参考框架的开发,该框架用于收集原始来源的 PregPV 研究,以标准化数据收集程序,从而提高数据协调能力和证据综合能力。

方法

该 CDE 参考框架是由药物警戒、药物流行病学、医学统计学、风险-效益沟通、临床畸形学、生殖毒理学、遗传学、妇产科、儿科学和儿童心理学领域的专家在创新药物倡议(IMI) ConcePTION 项目中开发的。该框架通过对已建立的 PregPV 数据集使用的数据收集系统进行范围审查,然后围绕从这些系统中确定的每个数据项的价值、定义和推导进行广泛的讨论和辩论,从而生成。

结果

最终确定的 CDE 列表包括 98 个单独的数据元素,分为 14 个相关字段表。这些数据元素可在欧洲致畸学信息服务网络(ENTIS)网站(http://www.entis-org.eu/cde)上公开获取。

讨论

通过这套建议,我们旨在标准化 PregPV 原始数据源的数据收集流程,以提高提供高质量循证药物在妊娠期间使用安全性声明的速度。

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