Health Canada & Canadian Society for Pharmaceutical Sciences - Use of Real World Data/Evidence to Inform Regulatory Decision Making

Real world data (RWD) and real world evidence (RWE) are playing increasing roles in health-care decisions. Real world data are routinely employed to support reimbursement and coverage decisions for drugs and devices. More recently, clinical trials incorporating pragmatic designs and observational st...

Full description

Bibliographic Details
Main Author: Real World Data Workshop Group CSPS/Health Canada
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Journal of Pharmacy & Pharmaceutical Sciences
Online Access:https://journals.library.ualberta.ca/jpps/index.php/JPPS/article/view/31051
_version_ 1797722592550846464
author Real World Data Workshop Group CSPS/Health Canada
author_facet Real World Data Workshop Group CSPS/Health Canada
author_sort Real World Data Workshop Group CSPS/Health Canada
collection DOAJ
description Real world data (RWD) and real world evidence (RWE) are playing increasing roles in health-care decisions. Real world data are routinely employed to support reimbursement and coverage decisions for drugs and devices. More recently, clinical trials incorporating pragmatic designs and observational studies are considered to supplement traditional clinical trials (e.g., randomized clinical trials). Regulatory agencies and large co-operative groups including academia and industry are exploring whether leveraging big databases such as electronic medical records and claims databases can be used to garner clinical insights extending beyond those gained from randomized controlled studies. Whether RWE can ultimately replace or improve traditional clinical trials is the big question. The workshop held on December 3, 2019 at Health Canada included presenters from regulatory agencies, industry and academia. Health Canada, US FDA and European Medicine Agency presented current thinking, draft frameworks and guidance available in the public domain. While the three agencies might be at different stages of utilizing RWE for regulatory decision making, the consensus is not whether RWE would be used but when and how it can be incorporated into regulatory decision making while maintaining a high evidentiary bar. The complexity of data sourcing, curating databases, aligning on common data models, illustrated by high-profile work conducted as part of Sentinel, DSEN, OHDSI and Duke-Margolis initiatives, was presented and discussed during the workshop, creating great learning opportunities for the attendees. The design and analysis of RWE studies were compared and contrasted to those of RCTs. While there are gaps, they are closing quickly as novel analytical methods are employed and innovative ways of curating data, including natural language processing and artificial intelligence, are explored.   This proceeding contains summaries of information presented by the speakers, including current highlights about the use of RWE in regulatory decision making. In the world where the uptake of “big data” in everyday life is happening at unprecedented speed, we can expect RWE to be a fast-moving area and with the potential for big impact in health-care decision making in the years to come.
first_indexed 2024-03-12T09:49:34Z
format Article
id doaj.art-e2beceeb0f7d47e7a170177e3c9b3b78
institution Directory Open Access Journal
issn 1482-1826
language English
last_indexed 2024-03-12T09:49:34Z
publishDate 2020-08-01
publisher Frontiers Media S.A.
record_format Article
series Journal of Pharmacy & Pharmaceutical Sciences
spelling doaj.art-e2beceeb0f7d47e7a170177e3c9b3b782023-09-02T12:39:03ZengFrontiers Media S.A.Journal of Pharmacy & Pharmaceutical Sciences1482-18262020-08-0123110.18433/jpps31051Health Canada & Canadian Society for Pharmaceutical Sciences - Use of Real World Data/Evidence to Inform Regulatory Decision MakingReal World Data Workshop Group CSPS/Health CanadaReal world data (RWD) and real world evidence (RWE) are playing increasing roles in health-care decisions. Real world data are routinely employed to support reimbursement and coverage decisions for drugs and devices. More recently, clinical trials incorporating pragmatic designs and observational studies are considered to supplement traditional clinical trials (e.g., randomized clinical trials). Regulatory agencies and large co-operative groups including academia and industry are exploring whether leveraging big databases such as electronic medical records and claims databases can be used to garner clinical insights extending beyond those gained from randomized controlled studies. Whether RWE can ultimately replace or improve traditional clinical trials is the big question. The workshop held on December 3, 2019 at Health Canada included presenters from regulatory agencies, industry and academia. Health Canada, US FDA and European Medicine Agency presented current thinking, draft frameworks and guidance available in the public domain. While the three agencies might be at different stages of utilizing RWE for regulatory decision making, the consensus is not whether RWE would be used but when and how it can be incorporated into regulatory decision making while maintaining a high evidentiary bar. The complexity of data sourcing, curating databases, aligning on common data models, illustrated by high-profile work conducted as part of Sentinel, DSEN, OHDSI and Duke-Margolis initiatives, was presented and discussed during the workshop, creating great learning opportunities for the attendees. The design and analysis of RWE studies were compared and contrasted to those of RCTs. While there are gaps, they are closing quickly as novel analytical methods are employed and innovative ways of curating data, including natural language processing and artificial intelligence, are explored.   This proceeding contains summaries of information presented by the speakers, including current highlights about the use of RWE in regulatory decision making. In the world where the uptake of “big data” in everyday life is happening at unprecedented speed, we can expect RWE to be a fast-moving area and with the potential for big impact in health-care decision making in the years to come.https://journals.library.ualberta.ca/jpps/index.php/JPPS/article/view/31051
spellingShingle Real World Data Workshop Group CSPS/Health Canada
Health Canada & Canadian Society for Pharmaceutical Sciences - Use of Real World Data/Evidence to Inform Regulatory Decision Making
Journal of Pharmacy & Pharmaceutical Sciences
title Health Canada & Canadian Society for Pharmaceutical Sciences - Use of Real World Data/Evidence to Inform Regulatory Decision Making
title_full Health Canada & Canadian Society for Pharmaceutical Sciences - Use of Real World Data/Evidence to Inform Regulatory Decision Making
title_fullStr Health Canada & Canadian Society for Pharmaceutical Sciences - Use of Real World Data/Evidence to Inform Regulatory Decision Making
title_full_unstemmed Health Canada & Canadian Society for Pharmaceutical Sciences - Use of Real World Data/Evidence to Inform Regulatory Decision Making
title_short Health Canada & Canadian Society for Pharmaceutical Sciences - Use of Real World Data/Evidence to Inform Regulatory Decision Making
title_sort health canada canadian society for pharmaceutical sciences use of real world data evidence to inform regulatory decision making
url https://journals.library.ualberta.ca/jpps/index.php/JPPS/article/view/31051
work_keys_str_mv AT realworlddataworkshopgroupcspshealthcanada healthcanadacanadiansocietyforpharmaceuticalsciencesuseofrealworlddataevidencetoinformregulatorydecisionmaking