Opioid prescribing patterns among medical practitioners in New South Wales, Australia

Author:

Schaffer Andrea L.1ORCID,Gisev Natasa2ORCID,Blyth Fiona M.3ORCID,Buckley Nicholas A.4ORCID,Currow David5ORCID,Dobbins Timothy A.1ORCID,Wilson Andrew6ORCID,Degenhardt Louisa2ORCID,Pearson Sallie‐Anne16ORCID

Affiliation:

1. School of Population Health Faculty of Medicine and Health, UNSW Sydney Sydney Australia

2. National Drug and Alcohol Research Centre, UNSW Sydney Sydney Australia

3. School of Public Health, Faculty of Medicine and Health The University of Sydney Sydney Australia

4. Biomedical Informatics and Digital Health, Faculty of Medicine and Health The University of Sydney Sydney Australia

5. Faculty of Science, Medicine and Health University of Wollongong Wollongong Australia

6. Menzies Centre for Health Policy and Economics, Faculty of Medicine and Health The University of Sydney Sydney Australia

Abstract

AbstractIntroductionPrescriber behaviour is important for understanding opioid use patterns. We described variations in practitioner‐level opioid prescribing in New South Wales, Australia (2013–2018).MethodsWe quantified opioid prescribing patterns among medical practitioners using population‐level dispensing claims data, and used partitioning around medoids to identify clusters of practitioners who prescribe opioids based on prescribing patterns and patient characteristics identified from linked dispensing claims, hospitalisations and mortality data.ResultsThe number of opioid prescribers ranged from 20,179 in 2013 to 23,408 in 2018. The top 1% of practitioners prescribed 15% of all oral morphine equivalent (OME) milligrams dispensed annually, with a median of 1382 OME grams (interquartile range [IQR], 1234–1654) per practitioner; the bottom 50% prescribed 1% of OMEs dispensed, with a median of 0.9 OME grams (IQR 0.2–2.6). Based on 63.6% of practitioners with ≥10 patients filling opioid prescriptions in 2018, we identified four distinct practitioner clusters. The largest cluster prescribed multiple analgesic medicines for older patients (23.7% of practitioners) accounted for 76.7% of all OMEs dispensed and comprised 93.0% of the top 1% of practitioners by opioid volume dispensed. The cluster prescribing analgesics for younger patients with high rates of surgery (18.7% of practitioners) prescribed only 1.6% of OMEs. The remaining two clusters comprised 21.2% of prescribers and 20.9% of OMEs dispensed.Discussion and ConclusionWe observed substantial variation in opioid prescribing among practitioners, clustered around four general patterns. We did not assess appropriateness but some prescribing patterns are concerning. Our findings provide insights for targeted interventions to curb potentially harmful practices.

Funder

Department of Health and Aged Care, Australian Government

National Health and Medical Research Council

Publisher

Wiley

Subject

Health (social science),Medicine (miscellaneous)

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