An analysis of characteristics of post-authorisation studies registered on the ENCePP EU PAS Register [version 2; referees: 2 approved]
Background: The objective of this study was to investigate the study design characteristics of Post-Authorisation Studies (PAS) requested by the European Medicines Agency which were recorded on the European Union (EU) PAS Register held by the European Network of Centres for Pharmacoepidemiology and...
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doaj-0dace09baf2c4034a072d09bf83705fe2020-11-25T02:48:21ZengF1000 Research LtdF1000Research2046-14022017-11-01610.12688/f1000research.12198.214284An analysis of characteristics of post-authorisation studies registered on the ENCePP EU PAS Register [version 2; referees: 2 approved]Robert Carroll0Sreeram V. Ramagopalan1Javier Cid-Ruzafa2Dimitra Lambrelli3Laura McDonald4Real-World Evidence, Evidera, London, W6 8DL, UKCentre for Observational Research and Data Sciences, Bristol-Myers Squibb, Uxbridge, UB8 1DH, UKReal-World Evidence, Evidera, London, W6 8DL, UKReal-World Evidence, Evidera, London, W6 8DL, UKCentre for Observational Research and Data Sciences, Bristol-Myers Squibb, Uxbridge, UB8 1DH, UKBackground: The objective of this study was to investigate the study design characteristics of Post-Authorisation Studies (PAS) requested by the European Medicines Agency which were recorded on the European Union (EU) PAS Register held by the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP). Methods: We undertook a cross-sectional descriptive analysis of all studies registered on the EU PAS Register as of 18th October 2016. Results: We identified a total of 314 studies on the EU PAS Register, including 81 (26%) finalised, 160 (51%) ongoing and 73 (23%) planned. Of those studies identified, 205 (65%) included risk assessment in their scope, 133 (42%) included drug utilisation and 94 (30%) included effectiveness evaluation. Just over half of the studies (175; 56%) used primary data capture, 135 (43%) used secondary data and 4 (1%) used a hybrid design combining both approaches. Risk assessment and effectiveness studies were more likely to use primary data capture (60% and 85% respectively as compared to 39% and 14% respectively for secondary). The converse was true for drug utilisation studies where 59% were secondary vs. 39% for primary. For type 2 diabetes mellitus, database studies were more commonly used (80% vs 3% chart review, 3% hybrid and 13% primary data capture study designs) whereas for studies in oncology, primary data capture were more likely to be used (85% vs 4% chart review, and 11% database study designs). Conclusions: Results of this analysis show that PAS design varies according to study objectives and therapeutic area.https://f1000research.com/articles/6-1447/v2Global HealthStatistical Methodologies & Health Informatics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Robert Carroll Sreeram V. Ramagopalan Javier Cid-Ruzafa Dimitra Lambrelli Laura McDonald |
spellingShingle |
Robert Carroll Sreeram V. Ramagopalan Javier Cid-Ruzafa Dimitra Lambrelli Laura McDonald An analysis of characteristics of post-authorisation studies registered on the ENCePP EU PAS Register [version 2; referees: 2 approved] F1000Research Global Health Statistical Methodologies & Health Informatics |
author_facet |
Robert Carroll Sreeram V. Ramagopalan Javier Cid-Ruzafa Dimitra Lambrelli Laura McDonald |
author_sort |
Robert Carroll |
title |
An analysis of characteristics of post-authorisation studies registered on the ENCePP EU PAS Register [version 2; referees: 2 approved] |
title_short |
An analysis of characteristics of post-authorisation studies registered on the ENCePP EU PAS Register [version 2; referees: 2 approved] |
title_full |
An analysis of characteristics of post-authorisation studies registered on the ENCePP EU PAS Register [version 2; referees: 2 approved] |
title_fullStr |
An analysis of characteristics of post-authorisation studies registered on the ENCePP EU PAS Register [version 2; referees: 2 approved] |
title_full_unstemmed |
An analysis of characteristics of post-authorisation studies registered on the ENCePP EU PAS Register [version 2; referees: 2 approved] |
title_sort |
analysis of characteristics of post-authorisation studies registered on the encepp eu pas register [version 2; referees: 2 approved] |
publisher |
F1000 Research Ltd |
series |
F1000Research |
issn |
2046-1402 |
publishDate |
2017-11-01 |
description |
Background: The objective of this study was to investigate the study design characteristics of Post-Authorisation Studies (PAS) requested by the European Medicines Agency which were recorded on the European Union (EU) PAS Register held by the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP). Methods: We undertook a cross-sectional descriptive analysis of all studies registered on the EU PAS Register as of 18th October 2016. Results: We identified a total of 314 studies on the EU PAS Register, including 81 (26%) finalised, 160 (51%) ongoing and 73 (23%) planned. Of those studies identified, 205 (65%) included risk assessment in their scope, 133 (42%) included drug utilisation and 94 (30%) included effectiveness evaluation. Just over half of the studies (175; 56%) used primary data capture, 135 (43%) used secondary data and 4 (1%) used a hybrid design combining both approaches. Risk assessment and effectiveness studies were more likely to use primary data capture (60% and 85% respectively as compared to 39% and 14% respectively for secondary). The converse was true for drug utilisation studies where 59% were secondary vs. 39% for primary. For type 2 diabetes mellitus, database studies were more commonly used (80% vs 3% chart review, 3% hybrid and 13% primary data capture study designs) whereas for studies in oncology, primary data capture were more likely to be used (85% vs 4% chart review, and 11% database study designs). Conclusions: Results of this analysis show that PAS design varies according to study objectives and therapeutic area. |
topic |
Global Health Statistical Methodologies & Health Informatics |
url |
https://f1000research.com/articles/6-1447/v2 |
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