Liang G Qu1,2, Garson Chan3,4,5, Johan Gani3,4,6. 1. Department of Urology, Austin Health, 145-161 Studley Rd, Heidelberg, VIC, 3084, Australia. liang.qu@austin.org.au. 2. Department of Surgery, University of Melbourne, Melbourne, VIC, Australia. liang.qu@austin.org.au. 3. Department of Urology, Austin Health, 145-161 Studley Rd, Heidelberg, VIC, 3084, Australia. 4. Department of Surgery, University of Melbourne, Melbourne, VIC, Australia. 5. Department of Surgery, University of Saskatchewan, Saskatchewan, Canada. 6. Department of Urology, Western Health, Footscray, VIC, Australia.
Abstract
PURPOSE: Given the current and increasing awareness of the opioid crisis, this study aimed to characterise the types of analgesic prescription for conservatively managed renal colic. METHODS: This was a retrospective cohort study of consecutive patients presenting to the Emergency Department (ED) in 2014-2019. Patients were included if they had radiographically confirmed obstructing calculus, managed conservatively without intervention, and were given a prescription for analgesia on discharge. Patient demographics were recorded and analysed. Opioid, non-opioid, and alpha-blocker medications were compared according to patient and disease parameters, and clinician training. Oral morphine equivalents (OMEs) were used to compare prescribed quantities. Subgroup analyses of stone size and location were performed. RESULTS: Our analysis included 1761 patients with confirmed renal colic: median age of 50 years (16-96). Altogether, 88% of included patients were prescribed opioids on discharge, while only 68% were prescribed non-opioids (p < 0.001). Oxycodone immediate release was the most frequently prescribed analgesic. Logistic regression modelling controlling for patient and disease characteristics significantly predicted more non-opioid (p < 0.001) and alpha-blocker (p = 0.037) prescription with clinician training < 3 years. Linear regression modelling demonstrated that clinicians training < 3 years predicted lower OMEs per prescription compared to clinicians with ≥ 3 years of training (p = 0.001). Subgroup analyses supported similar predictions with training. CONCLUSIONS: Prescribing patterns are associated with different clinician experience levels. However, a substantial amount of opioids are still given overall on patient discharge regardless of the clinician experience. Educational interventions aimed at reducing the opioid prescription rate and quantities may be considered for clinicians of all training levels.
PURPOSE: Given the current and increasing awareness of the opioid crisis, this study aimed to characterise the types of analgesic prescription for conservatively managed renal colic. METHODS: This was a retrospective cohort study of consecutive patients presenting to the Emergency Department (ED) in 2014-2019. Patients were included if they had radiographically confirmed obstructing calculus, managed conservatively without intervention, and were given a prescription for analgesia on discharge. Patient demographics were recorded and analysed. Opioid, non-opioid, and alpha-blocker medications were compared according to patient and disease parameters, and clinician training. Oral morphine equivalents (OMEs) were used to compare prescribed quantities. Subgroup analyses of stone size and location were performed. RESULTS: Our analysis included 1761 patients with confirmed renal colic: median age of 50 years (16-96). Altogether, 88% of included patients were prescribed opioids on discharge, while only 68% were prescribed non-opioids (p < 0.001). Oxycodone immediate release was the most frequently prescribed analgesic. Logistic regression modelling controlling for patient and disease characteristics significantly predicted more non-opioid (p < 0.001) and alpha-blocker (p = 0.037) prescription with clinician training < 3 years. Linear regression modelling demonstrated that clinicians training < 3 years predicted lower OMEs per prescription compared to clinicians with ≥ 3 years of training (p = 0.001). Subgroup analyses supported similar predictions with training. CONCLUSIONS: Prescribing patterns are associated with different clinician experience levels. However, a substantial amount of opioids are still given overall on patient discharge regardless of the clinician experience. Educational interventions aimed at reducing the opioid prescription rate and quantities may be considered for clinicians of all training levels.
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