Evidence map›Paper›PMID 37717234›Full record

ArticleEmergency medicine Australasia : EMA2024

Prevalence of alcohol and other drug detections in non-transport injury events.

Georgina Lau, Biswadev Mitra, Belinda J Gabbe, Paul M Dietze, Sandra Reeder, Peter A Cameron, De Villiers Smit, Hans G Schneider, Evan Symons, Christine Koolstra and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Emergency medicine Australasia : EMA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 4 institutions in 2 countries.

Georgina LauSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-6519-0405
Biswadev MitraSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0002-0508-2450
Belinda J GabbeSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-7096-7688
Paul M DietzeDisease Elimination Program, Burnet Institute, Melbourne, Victoria, Australia.ORCID 0000-0001-7871-6234
Sandra ReederSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-7942-0179
Peter A CameronSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0002-1443-557X
De Villiers SmitSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-9627-779X
Hans G SchneiderSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0002-6048-8744
Evan SymonsAlfred Mental and Addiction Health, The Alfred Hospital, Melbourne, Victoria, Australia.
Christine KoolstraSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Cara StewartSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Ben BeckSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0003-3262-5956
The Alfred Hospital · AUMonash University · AUBurnet Institute · AUSwansea University · GB

Funding

Australian Government Research Training ProgramAustralian Research Council FT210100183National Health and Medical Research Council ID 2009998Westpac Scholars Trust
6 · The paper itself

Abstract

objectiveTo measure the prevalence of alcohol and/or other drug (AOD) detections in suspected major trauma patients with non-transport injuries who presented to an adult major trauma centre.

methodsThis registry-based cohort study examined the prevalence of AOD detections in patients aged ≥18 years who: (i) sustained non-transport injuries; and (ii) met predefined trauma call-out criteria and were therefore managed by an interdisciplinary trauma team between 1 July 2021 and 31 December 2022. Prevalence was measured using routine in-hospital blood alcohol and urine drug screens.

resultsA total of 1469 cases met the inclusion criteria. Of cases with a valid blood test (n = 1248, 85.0%), alcohol was detected in 313 (25.1%) patients. Of the 733 (49.9%) cases with urine drug screen results, cannabinoids were most commonly detected (n = 103, 14.1%), followed by benzodiazepines (n = 98, 13.4%), amphetamine-type substances (n = 80, 10.9%), opioids (n = 28, 3.8%) and cocaine (n = 17, 2.3%). Alcohol and/or at least one other drug was detected in 37.4% (n = 472) of cases with either a blood alcohol or urine drug test completed (n = 1263, 86.0%). Multiple substances were detected in 16.6% (n = 119) of cases with both blood alcohol and urine drug screens (n = 718, 48.9%). Detections were prevalent in cases of interpersonal violence (n = 123/179, 68.7%) and intentional self-harm (n = 50/106, 47.2%), and in those occurring on Friday and Saturday nights (n = 118/191, 61.8%).

conclusionAOD detections were common in trauma patients with non-transport injury causes. Population-level surveillance is needed to inform prevention strategies that address AOD use as a significant risk factor for serious injury.

Indexed as

Substance-Related DisordersWounds and InjuriesAdolescentAdultCohort StudiesEthanolHumansPrevalenceSubstance Abuse DetectionEthanolalcoholic intoxicationblood alcohol contentillicit drugsubstance-related disordersubstance use detectionwounds and injury

Identifiers

PMID37717234
PMCPMC10952644
OpenAlexW4386813923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.