Evidence map›Paper›PMID 31742765›Full record

Observational studyAddiction (Abingdon, England)2020

Comparing rates and characteristics of ambulance attendances related to extramedical use of pharmaceutical opioids in Victoria, Australia from 2013 to 2018.

Suzanne Nielsen, Rose Crossin, Melissa Middleton, Tina Lam, James Wilson, Debbie Scott, Catherine Martin, Karen Smith, Dan Lubman

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Addiction (Abingdon, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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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 at 3 institutions in 1 country.

Suzanne NielsenMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Frankston, Victoria, Australia.ORCID 0000-0001-5341-1055
Rose CrossinMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Frankston, Victoria, Australia.ORCID 0000-0003-1814-1330
Melissa MiddletonMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Frankston, Victoria, Australia.
Tina LamMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Frankston, Victoria, Australia.ORCID 0000-0002-4902-7293
James WilsonTurning Point, Eastern Health and Eastern Health Clinical School, Monash University, Richmond, Victoria, Australia.
Debbie ScottMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Frankston, Victoria, Australia.
Catherine MartinBiostatistical Unit, Public Health and Preventative Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-8243-5873
Karen SmithMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Frankston, Victoria, Australia.ORCID 0000-0002-9057-0685
Dan LubmanMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Frankston, Victoria, Australia.ORCID 0000-0002-6747-1937
Eastern Health · AUAmbulance Victoria · AUMonash Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDespite increases in opioid prescribing and related morbidity and mortality, few studies have comprehensively documented harms across opioid types. We examined a population-wide indicator of extramedical pharmaceutical opioid-related harm to determine if the supply-adjusted rates of ambulance presentations, the severity of presentations or other attendance characteristics differed by opioid type.

designRetrospective observational study of coded ambulance patient care records related to extramedical pharmaceutical opioid use, January 2013 to September 2018.

settingAustralia CASES: Primary analyses used Victorian data (n = 9823), with available data from other Australian jurisdictions (n = 4338) used to determine generalizability. MEASUREMENTS: We calculated supply-adjusted rates of attendances using Poisson regression, and used multinomial logistic regression to compare demographic, presentation severity, mental health, substance use and other characteristics of attendances associated with seven pharmaceutical opioids.

findingsIn Victoria, the highest rates of attendance [per 100 000 oral morphine equivalent mg (OME)] were for codeine (0.273/100 000) and oxycodone (0.113/100 000). The lowest rates were for fentanyl (0.019/100 000) and tapentadol (0.005/100 000). Oxycodone-naloxone rates (0.031/100 000) were lower than for oxycodone as a single ingredient (0.113/100 000). Fentanyl-related attendances were associated with the most severe characteristics, most likely to be an accidental overdose, most likely to have naloxone administered and least likely to be transferred to hospital. In contrast, codeine-related attendances were more likely to involve suicidal thoughts/behaviours, younger females and be transported to hospital. Supply-adjusted attendance rates for individual opioids were stable over time. Victorian states were broadly consistent with non-Victorian states.

conclusionsIn Australia, rates and characteristics of opioid-related harm vary by opioid type. Supply-adjusted ambulance attendance rates appear to be both stable over time and unaffected by large changes in supply.

Indexed as

AdolescentAdultAgedAmbulancesAnalgesics, OpioidChildCodeineDrug OverdoseEmergency Medical ServicesFemaleFentanylHumansMaleMiddle AgedMorphineNaloxoneAnalgesics, OpioidCodeineFentanylMorphineNaloxoneOxycodoneAmbulanceextramedical useopioid analgesicoverdoseoxycodonetapentadol

Identifiers

PMID31742765
PMCPMC7317708
OpenAlexW2989794474

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.