Literature DB >> 28857309

Impact of the black triangle label on prescribing of new drugs in the United Kingdom: lessons for the United States at a time of deregulation.

Daniel B Horton1,2,3, Tobias Gerhard2,3,4, Amy Davidow5, Brian L Strom2,6,7.   

Abstract

PURPOSE: Newly approved novel drugs in Europe receive a black triangle label to promote pharmacovigilance. With growing momentum for earlier drug approvals and reliance on real-world evidence, we studied if the black triangle label promotes more judicious prescribing.
METHODS: We examined whether general practitioners prescribed escitalopram, tadalafil, and vardenafil with a black triangle more cautiously than the same or similar drugs without a black triangle in The Health Improvement Network (UK). We performed interrupted time-series analyses to estimate changes in new prescription rates and nested case-control studies to compare characteristics of new users before and after removal of a black triangle.
RESULTS: Prescribing rates to the 33 441 new users of these new drugs were highest shortly after initial approval and declined subsequently; there were no increases in rates of new prescriptions after a black triangle's removal (new prescriptions/million/month postlabel: escitalopram -1.5 [95% CI, -1.9 to -1.2]; tadalafil and vardenafil: -0.1 [95% CI, -0.6 to 0.4]). Among drugs in the same class, loss of a patent had more impact on prescribing rates than loss of a black triangle. People who began taking black triangle drugs were less likely to be young or to have multiple comorbidities or recent hospitalization compared with those starting the same drugs after the label's removal. However, these differences generally reflected secular trends seen also in similar, unlabeled medicines.
CONCLUSIONS: Accelerated drug approvals could cause more uncertainty about drug effectiveness and safety, but specific labeling of newly approved medicines is unlikely to promote more judicious prescribing.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  black triangle; drug labeling; interrupted time series analysis; pharmacoepidemiology; physicians' practice patterns

Mesh:

Substances:

Year:  2017        PMID: 28857309      PMCID: PMC5670006          DOI: 10.1002/pds.4304

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  23 in total

1.  Failings in treatment advice, SPCs and black triangles.

Authors: 
Journal:  Drug Ther Bull       Date:  2001-04

2.  Segmented regression analysis of interrupted time series studies in medication use research.

Authors:  A K Wagner; S B Soumerai; F Zhang; D Ross-Degnan
Journal:  J Clin Pharm Ther       Date:  2002-08       Impact factor: 2.512

3.  Attitudes to adverse drug reaction reporting in the Northern Region.

Authors:  D N Bateman; G L Sanders; M D Rawlins
Journal:  Br J Clin Pharmacol       Date:  1992-11       Impact factor: 4.335

4.  Correlates of spontaneous reporting of adverse drug reactions within primary care: the paradox of low prescribers who are high reporters.

Authors:  Anthony R Cox; Christopher Anton; Sarah E McDowell; John F Marriott; Robin E Ferner
Journal:  Br J Clin Pharmacol       Date:  2010-05       Impact factor: 4.335

5.  How the US drug safety system should be changed.

Authors:  Brian L Strom
Journal:  JAMA       Date:  2006-05-03       Impact factor: 56.272

6.  Validation studies of the health improvement network (THIN) database for pharmacoepidemiology research.

Authors:  James D Lewis; Rita Schinnar; Warren B Bilker; Xingmei Wang; Brian L Strom
Journal:  Pharmacoepidemiol Drug Saf       Date:  2007-04       Impact factor: 2.890

7.  Generalisability of The Health Improvement Network (THIN) database: demographics, chronic disease prevalence and mortality rates.

Authors:  Betina T Blak; Mary Thompson; Hassy Dattani; Alison Bourke
Journal:  Inform Prim Care       Date:  2011

8.  Are risk evaluation and mitigation strategies associated with less off-label use of medications? The case of immune thrombocytopenia.

Authors:  A Sarpatwari; J M Franklin; J Avorn; J D Seeger; J E Landon; A S Kesselheim
Journal:  Clin Pharmacol Ther       Date:  2014-12-20       Impact factor: 6.875

9.  Involving the patient in reporting adverse drug reactions.

Authors:  J P Campbell; J G Howie
Journal:  J R Coll Gen Pract       Date:  1988-08

10.  Effect of pay for performance on the management and outcomes of hypertension in the United Kingdom: interrupted time series study.

Authors:  Brian Serumaga; Dennis Ross-Degnan; Anthony J Avery; Rachel A Elliott; Sumit R Majumdar; Fang Zhang; Stephen B Soumerai
Journal:  BMJ       Date:  2011-01-25
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  2 in total

1.  Pharmacists' perception of educational material to improve patient safety: A cross-sectional study on practices and awareness in Germany.

Authors:  André Said; Leonard Freudewald; Natalie Parrau; Matthias Ganso; Martin Schulz
Journal:  Medicine (Baltimore)       Date:  2021-03-19       Impact factor: 1.817

2.  What are the patients' and health care professionals' understanding and behaviors towards adverse drug reaction reporting and additional monitoring?

Authors:  Justina Januskiene; Andrej Segec; Jim Slattery; Georgy Genov; Kelly Plueschke; Xavier Kurz; Peter Arlett
Journal:  Pharmacoepidemiol Drug Saf       Date:  2020-11-08       Impact factor: 2.890

  2 in total

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