Evidence map›Paper›PMID 37159416›Full record

ArticleDrug and alcohol review2023

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

Andrea L Schaffer, Natasa Gisev, Fiona M Blyth, Nicholas A Buckley, David Currow, Timothy A Dobbins, Andrew Wilson, Louisa Degenhardt, Sallie-Anne Pearson

Abstract read
In one paragraph

Article in Drug and alcohol review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Andrea L SchafferSchool of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-3701-4997
Natasa GisevNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia.ORCID 0000-0003-0452-8470
Fiona M BlythSchool of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0003-1128-6756
Nicholas A BuckleyBiomedical Informatics and Digital Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-6326-4711
David CurrowFaculty of Science, Medicine and Health, University of Wollongong, Wollongong, Australia.ORCID 0000-0003-1988-1250
Timothy A DobbinsSchool of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.ORCID 0000-0003-1841-9056
Andrew WilsonMenzies Centre for Health Policy and Economics, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-1809-7846
Louisa DegenhardtNational Drug and Alcohol Research Centre, UNSW Sydney, Sydney, Australia.ORCID 0000-0002-8513-2218
Sallie-Anne PearsonSchool of Population Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.ORCID 0000-0001-7137-6855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrescriber 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.

Indexed as

Analgesics, OpioidDrug PrescriptionsAustraliaHumansNew South WalesPractice Patterns, Physicians'Analgesics, OpioidAustraliaopioidspainpharmacoepidemiologyprescribing

Identifiers

PMID37159416
PMCPMC10946566

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.