Literature DB >> 15785961

Uptake of new drugs in rural and urban areas of Queensland, Australia: the example of COX-2 inhibitors.

K Behan1, C Cutts, Susan E Tett.   

Abstract

OBJECTIVE: This study compared the changes over time in the volume of prescriptions of COX-2 selective inhibitors between rural and urban Queensland to reveal any difference in the uptake of the prescribing of these new drugs between two geographically distinct areas.
METHODS: This study used data from an administrative claims database. Dispensing data were obtained for celecoxib and rofecoxib in two areas, one rural and one urban, defined by postcodes. The numbers of consumers in these areas were similar and they were served by similar numbers of general practitioners. The number of defined daily doses (DDDs) of celecoxib and rofecoxib dispensed at specific times was calculated.
RESULTS: Statistical analysis revealed no significant difference between the total numbers of DDDs of COX-2-selective non-steroidal anti-inflammatory drugs dispensed in the rural and urban groups over the period August 2000 to December 2002 (P=0.81). The rate of uptake of usage was also clearly similar between the urban and the rural groups. Total usage peaked in August 2000 in both groups (urban 39 DDD/1,000 people per day; rural 37 DDD/1,000 people per day), coinciding with the pharmaceutical benefits scheme (subsidized) listing of celecoxib. The number of DDDs declined dramatically in the following month, and then peaked again in May 2002 (urban 34, rural 36). The number of DDDs then steadily decreased in both areas after October 2002.
CONCLUSION: The results suggest that the marketing of the new COX-2 inhibitors and the patients' anticipation of a safe and effective treatment have overcome the geographical boundaries of Queensland. Both areas had very high rates of uptake of the prescribing of these new drugs.

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Year:  2005        PMID: 15785961     DOI: 10.1007/s00228-004-0865-6

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


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