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

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 th...

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Autores principales: Richardson, Jonathan L., Moore, Alan, Bromley, Rebecca L., Stellfeld, Michael, Geissbühler, Yvonne, Bluett-Duncan, Matthew, Winterfeld, Ursula, Favre, Guillaume, Alexe, Amalia, Oliver, Alison M., van Rijt-Weetink, Yrea R. J., Hodson, Kenneth K., Rezaallah, Bita, van Puijenbroek, Eugene P., Lewis, David J., Yates, Laura M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164024/
https://www.ncbi.nlm.nih.gov/pubmed/36976447
http://dx.doi.org/10.1007/s40264-023-01291-7
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author Richardson, Jonathan L.
Moore, Alan
Bromley, Rebecca L.
Stellfeld, Michael
Geissbühler, Yvonne
Bluett-Duncan, Matthew
Winterfeld, Ursula
Favre, Guillaume
Alexe, Amalia
Oliver, Alison M.
van Rijt-Weetink, Yrea R. J.
Hodson, Kenneth K.
Rezaallah, Bita
van Puijenbroek, Eugene P.
Lewis, David J.
Yates, Laura M.
author_facet Richardson, Jonathan L.
Moore, Alan
Bromley, Rebecca L.
Stellfeld, Michael
Geissbühler, Yvonne
Bluett-Duncan, Matthew
Winterfeld, Ursula
Favre, Guillaume
Alexe, Amalia
Oliver, Alison M.
van Rijt-Weetink, Yrea R. J.
Hodson, Kenneth K.
Rezaallah, Bita
van Puijenbroek, Eugene P.
Lewis, David J.
Yates, Laura M.
author_sort Richardson, Jonathan L.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40264-023-01291-7.
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spelling pubmed-101640242023-05-08 Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project Richardson, Jonathan L. Moore, Alan Bromley, Rebecca L. Stellfeld, Michael Geissbühler, Yvonne Bluett-Duncan, Matthew Winterfeld, Ursula Favre, Guillaume Alexe, Amalia Oliver, Alison M. van Rijt-Weetink, Yrea R. J. Hodson, Kenneth K. Rezaallah, Bita van Puijenbroek, Eugene P. Lewis, David J. Yates, Laura M. Drug Saf Original Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40264-023-01291-7. Springer International Publishing 2023-03-28 2023 /pmc/articles/PMC10164024/ /pubmed/36976447 http://dx.doi.org/10.1007/s40264-023-01291-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Richardson, Jonathan L.
Moore, Alan
Bromley, Rebecca L.
Stellfeld, Michael
Geissbühler, Yvonne
Bluett-Duncan, Matthew
Winterfeld, Ursula
Favre, Guillaume
Alexe, Amalia
Oliver, Alison M.
van Rijt-Weetink, Yrea R. J.
Hodson, Kenneth K.
Rezaallah, Bita
van Puijenbroek, Eugene P.
Lewis, David J.
Yates, Laura M.
Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project
title Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project
title_full Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project
title_fullStr Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project
title_full_unstemmed Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project
title_short Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project
title_sort core data elements for pregnancy pharmacovigilance studies using primary source data collection methods: recommendations from the imi conception project
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164024/
https://www.ncbi.nlm.nih.gov/pubmed/36976447
http://dx.doi.org/10.1007/s40264-023-01291-7
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