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ObjectiveTo determine the pattern of antibiotic use in the Australian community, 1990‐1995, and compare it with the pattern in other developed countries. DesignSurvey of data from the national database on drugs dispensed in Australia (1990‐1995), an international database on retail drug sales (1985‐1994), and Australian prescriber surveys (1994,1995). Main outcome measuresNational and international retail sales of oral antibiotics (defined daily doses [DDDs]/1000 population/day) and antibiotic prescriptions dispensed through community pharmacies by drug type; antibiotic prescribing profiles for common conditions. ResultsAntibiotic use in Australia remained steady between 1990 and 1995, with an estimated 24.7 DDDs/1000 population/day dispensed through community pharmacies in 1990 and 24.8 DDDs/1000 population/day in 1995. Amoxycillin, although declining in use, remained the most dispensed antibiotic. Compared with the other countries surveyed, Australia had the highest percentage use of tetracyclines, such as doxycycline, and the lowest percentage use of fluoroquinolones. Use of trimethoprim‐sulfamethoxazole and flucloxacillin declined in Australia. In new cases of upper respiratory tract infection or pharyngitis, an antibiotic prescription was recorded for 57% of urban patient encounters and 73% of rural patient encounters. ConclusionsAntibiotic use in Australia is high, as in many other developed countries, but did not increase between 1990 and 1995. The overall profile of antibiotic use in Australia by drug class was similar to that in the United Kingdom. Antibiotics were still commonly prescribed for upper respiratory tract infection (which is usually viral), more commonly by rural than by urban general practitioners.
Background: Co-morbidity, or the presence of more than one clinical condition, is gaining increased attention in epidemiological and health services research. However, the clinical relevance of co-morbidity has yet to be defined. In general practice, few studies have been conducted into co-morbidity, either at a single health care encounter, an episode of care, or for a defined time period. Aims: To describe the major co-morbidity cluster profiles recorded by general practitioners. Another aim of this study is to describe the common clusters of co-prescribing. Methods and results: Twelve month data from patients attending 156 GPs from 95 practices around a six month period of January to June 2003 were analysed. This represented 840 961 encounters from about 200 000 individual patients at these participating practices. Co-morbidity and co-prescribing cluster profiles are represented by problems managed and reasons for prescribing for the top 10 presentations and top 10 prescribed drugs in the study period. Conclusions: By analysing the 10 most prevalent problems and 10 most prevalent drugs prescribed in consultations in a community sample, other co-morbidities that are particular to general practice, for example hypertension and lipid disorders, can be uncovered. Whether these clusters are causally related or occur by chance requires further analysis.
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT• Previous studies have found varying impact of exposure to COX-2 selective and non-selective NSAIDs. WHAT THIS STUDY ADDS• Individuals receiving a COX-2 selective NSAID had an increased risk of all-cause mortality after correction for age, sex and cardiovascular risk as measured by co-prescription. • Despite differences in the pharmacokinetic properties of the COX-2 selective inhibitor drugs, our study lends no support to clinicians preferring any one COX-2 selective inhibitor drug, or substituting one for another on the grounds of mortality risk alone.• The Australian Department of Veterans' Affairs data sets make it possible to conduct timely record linkage studies of all-cause mortality from use of medicines in a large and clinically relevant population. AIMTo determine hazard ratios for all-cause mortality in elderly Australian veterans taking COX-2 selective and non-selective NSAIDs. METHODSPatient cohorts were constructed from claims databases (1997 to 2007) for veterans and dependants with full treatment entitlement irrespective of military service. Patients were grouped by initial exposure: celecoxib, rofecoxib, meloxicam, diclofenac, non-selective NSAID. A reference group was constructed of patients receiving glaucoma/hypothyroid medications and none of the study medications. Univariate and multivariate analyses were performed using Cox proportional hazards regression models. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated for each exposure group against each of the reference group. The final model was adjusted for age, gender and co-prescription as a surrogate for cardiovascular risk. Patients were censored if the gap in supply of study prescription exceeded 30 days or if another study medication was initiated. The outcome measure in all analyses was death. RESULTSHazard ratios and 95% CIs, adjusted for age, gender and cardiovascular risk, for each group relative to the reference group were:
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