Digoxin - Compliance as a Factor in Drug Utilisation

1979 ◽  
pp. 143-151
Author(s):  
Denis G. McDevitt ◽  
G. Dennis Johnston
Keyword(s):  
2003 ◽  
Vol 12 (2) ◽  
pp. 153-156 ◽  
Author(s):  
Jacques LeLorier ◽  
Robert H. Vander Stichele ◽  
Jerry Avorn ◽  
Keith Beard ◽  
Jesper Hallas ◽  
...  
Keyword(s):  

2004 ◽  
Vol 13 (10) ◽  
pp. 725-727 ◽  
Author(s):  
Vera Vlahović-Palčevski ◽  
Björn Wettermark ◽  
Igor Prpić ◽  
Ulf Bergman
Keyword(s):  

2003 ◽  
Vol 12 (6) ◽  
pp. 499-510 ◽  
Author(s):  
Bj�rn Wettermark ◽  
�ke Pehrsson ◽  
Dane Jinnerot ◽  
Ulf Bergman

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e59694 ◽  
Author(s):  
Vilija G. Jokubaitis ◽  
Tim Spelman ◽  
Jeannette Lechner-Scott ◽  
Michael Barnett ◽  
Cameron Shaw ◽  
...  

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1447 ◽  
Author(s):  
Robert Carroll ◽  
Sreeram V. Ramagopalan ◽  
Javier Cid-Ruzafa ◽  
Dimitra Lambrelli ◽  
Laura McDonald

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 study objectives and therapeutic area influence PAS design in terms of type of data capture used.


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