期刊
BRITISH JOURNAL OF CLINICAL PHARMACOLOGY
卷 84, 期 6, 页码 1267-1278出版社
WILEY
DOI: 10.1111/bcp.13556
关键词
non-cancer pain; opioid analgesics; persistent use; pharmacoepidemiology; predictors
资金
- Australian Government Research Training Program Scholarship
- NHMRC Early Career Fellowship Scheme [1072137, 1091878]
- NHMRC Dementia Leadership Fellowship [1140298]
- National Health and Medical Research Council of Australia [1140298] Funding Source: NHMRC
AimsTo identify patterns of opioid analgesic use and determine predictors of persistent opioid use among people without cancer. MethodsA population-based cohort study of Australians initiating prescription opioids from July 2013 to December 2015 was conducted using data from a random 10% sample of people who accessed medicines through Australia's Pharmaceutical Benefits Scheme. A 12-month retrospective period was used to define opioid initiation, exclude people with cancer and determine comorbidities. Persistent use over 12 months since initiation was identified through group-based trajectory modelling. Odds ratios (OR) and 95% confidence intervals (CIs) for predictors of opioid persistence were estimated using logistic regression. ResultsThe cohort consisted of 431963 people without cancer who initiated opioids. A total of 11323 (2.6%) persistent opioid users were identified. Predictors of persistence included initiation with transdermal formulations (OR 4.2, 95% CI 3.9-4.5), or initiation with total oral morphine equivalents (OME) 750mg (3.7, 3.3-4.1), having depression (1.6, 1.5-1.7) or psychotic illness (2.0, 1.9-2.2). Previous dispensing of paracetamol (2.0, 1.9-2.1), pregabalin (2.0, 1.8-2.1) and benzodiazepines (1.53, 1.4-1.6) predicted persistence. Compared to people aged 18-44 years, those 75 years were 2.5 (2.3-2.6) times more likely to be persistent users. ConclusionsPatient-specific characteristics (older age, prior history of mental health comorbidities and use of non-opioid analgesics) and prescriber choice of initial opioid (transdermal formulation and higher total OMEs) were found to strongly predict persistent use. This information may help prescribers target monitoring and early intervention efforts in order to prevent harms associated with the long-term use of opioids.
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