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Opioid dispensing 2008-18: a Queensland perspective
Benita Suckling1, Champika Pattullo2, Peter Donovan2
1School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; and Caboolture Hospital Pharmacy Department, Metro North Health, Queensland Health, Brisbane, Qld, Australia.
Abstract:
Objective This study provides an overview of opioid dispensing in Queensland from 2008 to 2018 by recipient age, drug, oral morphine equivalent and remoteness. Methods Data were obtained from the Queensland Monitoring of Drugs of Dependence System database for 2008-18 and analysed using data from the Australian Bureau of Statistics to account for population growth. Opioid dispensing by age, drug, oral morphine equivalent and remoteness were assessed. Results The number of prescriptions for Schedule 8 opioid medicines dispensed in Queensland increased from 190 to 430 per 1000 population over the study period (2.3-fold increase). Oxycodone had the largest increase in dispensing over the study period of 3.1-fold, with tapentadol increasing rapidly since initial Pharmaceutical Benefits Scheme listing in 2013 to the third most dispensed opioid by 2018. By 2018, opioid dispensing among the oldest Queenslanders, those aged 85+ years, occurred at triple the rate for those aged 65-84 years. When adjusted to report oral morphine equivalents (OME) in milligrams (mg), there has been an increase of approximately 1.9-fold over the study period. Results were also presented by geographical area, including a heatmap and analysis by remoteness. Prescriptions dispensed per 1000 population were 416 for major cities, 551 for inner regional and 445 for outer regional, and highlight that inner and outer regional areas have higher rates of prescriptions when compared to major cities (32 and 7% higher, respectively). Conclusion This study highlights changes in opioid prescription dispensing by drug and OME, as well as the variation in dispensing rates when accounting for remoteness. Further studies to link statewide databases, and to better understand drivers for differences in dispensing by location, will provide valuable insights to further inform policy and service provision.
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