Literature DB >> 18821717

Prescriber adoption of newly approved selective COX-2 inhibitors.

Deborah Layton1, Patrick C Souverein, Eibert R Heerdink, Saad A W Shakir, A G C Egberts.   

Abstract

INTRODUCTION: There is no consistent definition of prescribers who adopt new drug treatments early. This study examines if COX-2 inhibitors (coxibs) were prescribed by subsets of practitioners and describes GP adoption patterns of coxibs and existing NSAIDs over time.
METHODS: A population-based drug utilisation study using a Dutch medication claims database. Prescribers of patients (18+yrs) prescribed an NSAID January 1999-December 2003 were identified. Four NSAID categories were chosen reflecting selectivity (coxibs, preferential COX-2 inhibitors and non-selective (ns) NSAIDs (sub-categorised as first or second line treatment)). The characteristics of prescribers issuing>10 prescriptions examined were: Type (GP, Specialist, Other); GP NSAID prescribing preference ratio (nsNSAIDs/coxib first prescription); coxib (ratio<3); prescriber proportion responsible for 100%, 80% and 50% of initiations. Odds Ratios (95%CI) were calculated (first-line nsNSAIDs as reference). Plots of prescribing proportions by quarter year were examined.
RESULTS: NSAID cohorts comprised: first-line ns (N=38783); second-line ns (N=1459); COX-2 preferential (N=3107); coxib (N=4202) patients. For all four cohorts, GPs were the most common prescriber type (>67%); the most frequent prescribing preference was for first-line nsNSAIDs; 50% percentile prescribing proportions were low (<9%). GPs were equally as likely to prescribe coxibs as first-line nsNSAIDs [OR 1.0 (0.9, 1.1)]. Plots of 100% prescriber proportion for first-line nsNSAIDs and coxibs showed convergence; 50th percentile prescriber proportions plots were constant.
CONCLUSIONS: Small subsets of prescribers accounted for the majority of initiations regardless of NSAID type. Further studies are needed on such prescribers to inform healthcare policies and encourage participation in post-marketing safety studies. Copyright (c) 2008 John Wiley & Sons, Ltd.

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Year:  2008        PMID: 18821717     DOI: 10.1002/pds.1667

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


  2 in total

1.  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

2.  Actions following adverse drug events - how do these influence uptake and utilisation of newer and/or similar medications?

Authors:  Nadia Barozzi; G M E E Geeske Peeters; Susan E Tett
Journal:  BMC Health Serv Res       Date:  2015-11-06       Impact factor: 2.655

  2 in total

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