Evidence map›Paper›PMID 31138584›Full record

Observational studyBMJ open2019

Comparing rates and characteristics of ambulance attendances related to extramedical use of pharmaceutical opioids in Australia: a protocol for a retrospective observational study.

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

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Observational
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 4 institutions in 1 country.

Suzanne NielsenMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-5341-1055
Rose CrossinMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Melissa MiddletonMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Catherine MartinBiostatistics Unit, Public Health and Preventative Medicine, Monash University, Melbourne, New South Wales, Australia.
James WilsonTurning Point, Monash University Eastern Health Clinical School, North Richmond, Victoria, Australia.
Tina LamMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Debbie ScottMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Karen SmithMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Dan LubmanMonash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia.
Eastern Health · AUAmbulance Victoria · AUMonash University · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

aimsExtramedical use of, and associated harms with pharmaceutical opioids are common. Analysis of coded ambulance clinical records provides a unique opportunity to examine a national population-level indicator of relative harms. This protocol describes an observational study with three aims: (1) to compare supply adjusted rates of pharmaceutical opioid-related ambulance attendances for buprenorphine, codeine, fentanyl, oxycodone, oxycodone-naloxone, morphine, pethidine, tramadol and tapentadol; (2) to compare presentation characteristics for these commonly used pharmaceutical opioids and (3) to describe the context surrounding ambulance presentations related to oxycodone, a widely used opioid with an established abuse liability, and tapentadol, a more recent 'atypical' opioid on the Australian market, with fewer studies that have directly examined signals of extramedical use.

methodTrained coders extract data from clinical records for ambulance presentations relating to extramedical use of commonly used pharmaceutical opioids. These data form the basis of a large, national database that captures alcohol-related and drug-related harms. Supply adjusted rates of presentations will be examined using Poisson regression. Multinomial logistic regression will be used to compare severity and other characteristics of attendances relating to different pharmaceutical opioids. Tapentadol-related and oxycodone-related cases will be qualitatively examined to understand the situationally specific contexts of the ambulance attendances outside of the characteristics captured in routinely coded variables. ETHICS AND DISSEMINATION: Ethics approval related to analysis of ambulance attendance data was obtained from the Eastern Health Human Research Ethics Committee (E122 08-09), with an amendment specific to the qualitative analysis. Findings will be submitted for peer review in 2019. The understanding of risk profiles in real-world settings is of international public health importance. The analysis and publication of findings from this national dataset of clinical records will provide one of the most nuanced analyses to date of relative harms across nine pharmaceutical opioids over a 6-year period.

Indexed as

Research DesignAmbulancesAnalgesics, OpioidAustraliaEmergency Medical ServicesHumansPrescription Drug MisuseRetrospective StudiesAnalgesics, Opioidambulance attendanceextramedical useoverdoseoxycodonepharmaceutical opioidstapentadol

Identifiers

PMID31138584
PMCPMC6549600
OpenAlexW2947783494

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.