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Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model

Real world evidence (RWE) and real-world data (RWD) are drawing ever-increasing attention in the pharmaceutical industry and drug regulatory authorities (DRAs) all over the world due to their paramount role in supporting drug development and regulatory decision making. However, there is little syste...

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Autores principales: Li, Meng, Chen, Shengqi, Lai, Yunfeng, Liang, Zuanji, Wang, Jiaqi, Shi, Junnan, Lin, Haojie, Yao, Dongning, Hu, Hao, Ung, Carolina Oi Lam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200400/
https://www.ncbi.nlm.nih.gov/pubmed/34136505
http://dx.doi.org/10.3389/fmed.2021.669509
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author Li, Meng
Chen, Shengqi
Lai, Yunfeng
Liang, Zuanji
Wang, Jiaqi
Shi, Junnan
Lin, Haojie
Yao, Dongning
Hu, Hao
Ung, Carolina Oi Lam
author_facet Li, Meng
Chen, Shengqi
Lai, Yunfeng
Liang, Zuanji
Wang, Jiaqi
Shi, Junnan
Lin, Haojie
Yao, Dongning
Hu, Hao
Ung, Carolina Oi Lam
author_sort Li, Meng
collection PubMed
description Real world evidence (RWE) and real-world data (RWD) are drawing ever-increasing attention in the pharmaceutical industry and drug regulatory authorities (DRAs) all over the world due to their paramount role in supporting drug development and regulatory decision making. However, there is little systematic documentary analysis about how RWE was integrated for the use by the DRAs in evaluating new treatment approaches and monitoring post-market safety. This study aimed to analyze and discuss the integration of RWE into regulatory decision-making process from the perspective of DRAs. Different development strategies to develop and adopt RWE by the DRAs in the US, Europe, and China were reviewed and compared, and the challenges encountered were discussed. It was found that different strategies on development of RWE were applied by FDA, EMA, and NMPA. The extent to which RWE was adopted in China was relatively limited compared to that in the US and EU, which was highly related to the national pharmaceutical environment and development stages. A better understanding of the overall goals, inputs, activities, outputs, and outcomes in developing RWE will help inform actions to harness RWD and leverage RWE for better health care decisions.
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spelling pubmed-82004002021-06-15 Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model Li, Meng Chen, Shengqi Lai, Yunfeng Liang, Zuanji Wang, Jiaqi Shi, Junnan Lin, Haojie Yao, Dongning Hu, Hao Ung, Carolina Oi Lam Front Med (Lausanne) Medicine Real world evidence (RWE) and real-world data (RWD) are drawing ever-increasing attention in the pharmaceutical industry and drug regulatory authorities (DRAs) all over the world due to their paramount role in supporting drug development and regulatory decision making. However, there is little systematic documentary analysis about how RWE was integrated for the use by the DRAs in evaluating new treatment approaches and monitoring post-market safety. This study aimed to analyze and discuss the integration of RWE into regulatory decision-making process from the perspective of DRAs. Different development strategies to develop and adopt RWE by the DRAs in the US, Europe, and China were reviewed and compared, and the challenges encountered were discussed. It was found that different strategies on development of RWE were applied by FDA, EMA, and NMPA. The extent to which RWE was adopted in China was relatively limited compared to that in the US and EU, which was highly related to the national pharmaceutical environment and development stages. A better understanding of the overall goals, inputs, activities, outputs, and outcomes in developing RWE will help inform actions to harness RWD and leverage RWE for better health care decisions. Frontiers Media S.A. 2021-05-31 /pmc/articles/PMC8200400/ /pubmed/34136505 http://dx.doi.org/10.3389/fmed.2021.669509 Text en Copyright © 2021 Li, Chen, Lai, Liang, Wang, Shi, Lin, Yao, Hu and Ung. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Li, Meng
Chen, Shengqi
Lai, Yunfeng
Liang, Zuanji
Wang, Jiaqi
Shi, Junnan
Lin, Haojie
Yao, Dongning
Hu, Hao
Ung, Carolina Oi Lam
Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model
title Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model
title_full Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model
title_fullStr Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model
title_full_unstemmed Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model
title_short Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model
title_sort integrating real-world evidence in the regulatory decision-making process: a systematic analysis of experiences in the us, eu, and china using a logic model
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200400/
https://www.ncbi.nlm.nih.gov/pubmed/34136505
http://dx.doi.org/10.3389/fmed.2021.669509
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