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Real World Evidence in Medical Cannabis Research

BACKGROUND: Whilst access to cannabis-based medicinal products (CBMPs) has increased globally subject to relaxation of scheduling laws globally, one of the main barriers to appropriate patient access remains a paucity of high-quality evidence surrounding their clinical effects. DISCUSSION: Whilst ra...

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Autores principales: Banerjee, Rishi, Erridge, Simon, Salazar, Oliver, Mangal, Nagina, Couch, Daniel, Pacchetti, Barbara, Sodergren, Mikael Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688379/
https://www.ncbi.nlm.nih.gov/pubmed/34748204
http://dx.doi.org/10.1007/s43441-021-00346-0
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author Banerjee, Rishi
Erridge, Simon
Salazar, Oliver
Mangal, Nagina
Couch, Daniel
Pacchetti, Barbara
Sodergren, Mikael Hans
author_facet Banerjee, Rishi
Erridge, Simon
Salazar, Oliver
Mangal, Nagina
Couch, Daniel
Pacchetti, Barbara
Sodergren, Mikael Hans
author_sort Banerjee, Rishi
collection PubMed
description BACKGROUND: Whilst access to cannabis-based medicinal products (CBMPs) has increased globally subject to relaxation of scheduling laws globally, one of the main barriers to appropriate patient access remains a paucity of high-quality evidence surrounding their clinical effects. DISCUSSION: Whilst randomised controlled trials (RCTs) remain the gold-standard for clinical evaluation, there are notable barriers to their implementation. Development of CBMPs requires novel approaches of evidence collection to address these challenges. Real world evidence (RWE) presents a solution to not only both provide immediate impact on clinical care, but also inform well-conducted RCTs. RWE is defined as evidence derived from health data sourced from non-interventional studies, registries, electronic health records and insurance data. Currently it is used mostly to monitor post-approval safety requirements allowing for long-term pharmacovigilance. However, RWE has the potential to be used in conjunction or as an extension to RCTs to both broaden and streamline the process of evidence generation. CONCLUSION: Novel approaches of data collection and analysis will be integral to improving clinical evidence on CBMPs. RWE can be used in conjunction or as an extension to RCTs to increase the speed of evidence generation, as well as reduce costs. Currently, there is an abundance of potential data however, whilst a number of platforms now exist to capture real world data it is important the right tools and analysis are utilised to unlock potential insights from these.
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spelling pubmed-86883792021-12-22 Real World Evidence in Medical Cannabis Research Banerjee, Rishi Erridge, Simon Salazar, Oliver Mangal, Nagina Couch, Daniel Pacchetti, Barbara Sodergren, Mikael Hans Ther Innov Regul Sci Commentary BACKGROUND: Whilst access to cannabis-based medicinal products (CBMPs) has increased globally subject to relaxation of scheduling laws globally, one of the main barriers to appropriate patient access remains a paucity of high-quality evidence surrounding their clinical effects. DISCUSSION: Whilst randomised controlled trials (RCTs) remain the gold-standard for clinical evaluation, there are notable barriers to their implementation. Development of CBMPs requires novel approaches of evidence collection to address these challenges. Real world evidence (RWE) presents a solution to not only both provide immediate impact on clinical care, but also inform well-conducted RCTs. RWE is defined as evidence derived from health data sourced from non-interventional studies, registries, electronic health records and insurance data. Currently it is used mostly to monitor post-approval safety requirements allowing for long-term pharmacovigilance. However, RWE has the potential to be used in conjunction or as an extension to RCTs to both broaden and streamline the process of evidence generation. CONCLUSION: Novel approaches of data collection and analysis will be integral to improving clinical evidence on CBMPs. RWE can be used in conjunction or as an extension to RCTs to increase the speed of evidence generation, as well as reduce costs. Currently, there is an abundance of potential data however, whilst a number of platforms now exist to capture real world data it is important the right tools and analysis are utilised to unlock potential insights from these. Springer International Publishing 2021-11-08 2022 /pmc/articles/PMC8688379/ /pubmed/34748204 http://dx.doi.org/10.1007/s43441-021-00346-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Commentary
Banerjee, Rishi
Erridge, Simon
Salazar, Oliver
Mangal, Nagina
Couch, Daniel
Pacchetti, Barbara
Sodergren, Mikael Hans
Real World Evidence in Medical Cannabis Research
title Real World Evidence in Medical Cannabis Research
title_full Real World Evidence in Medical Cannabis Research
title_fullStr Real World Evidence in Medical Cannabis Research
title_full_unstemmed Real World Evidence in Medical Cannabis Research
title_short Real World Evidence in Medical Cannabis Research
title_sort real world evidence in medical cannabis research
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688379/
https://www.ncbi.nlm.nih.gov/pubmed/34748204
http://dx.doi.org/10.1007/s43441-021-00346-0
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