Evidence map›Paper›PMID 42806575›Full record

Observational studyThe Medical journal of Australia2026

Epidemiology and Quality of Care for Aboriginal and Torres Strait Islander Peoples Treated by Emergency Medical Services for Stroke in Victoria, Australia: Retrospective Analysis of Linked Data.

Candice Menezes, Ziad Nehme, Luke J Burchill, Tegwyn McManamny, Angela Dos Santos, Michelle Crilly, Luke P Dawson, Benjamin Clissold, David Anderson, Emily Nehme

Abstract readObservational Study
In one paragraph

Observational study in The Medical journal of Australia, 2026. 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
–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

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.

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

10 authors.

Candice MenezesCentre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia.
Ziad NehmeCentre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia.
Luke J BurchillDepartment of Medicine, University of Melbourne, Melbourne, Victoria, Australia.
Tegwyn McManamnyCentre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia.
Angela Dos SantosDepartment of Medicine, University of Melbourne, Melbourne, Victoria, Australia.
Michelle CrillyAboriginal and Torres Strait Islander Leadership Council, Australian Stroke Alliance, Melbourne, Victoria, Australia.
Luke P DawsonSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-3789-5808
Benjamin ClissoldStroke and Aging Research Group, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia.
David AndersonMedical Directorate, Ambulance Victoria, Melbourne, Victoria, Australia.
Emily NehmeCentre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-1579-9279

Funding

National Health and Medical Research Council 2034615National Heart Foundation of Australia 105690
6 · The paper itself

Abstract

objectivesTo examine the epidemiology of stroke and transient ischaemic attack (TIA), and quality of care provided to Aboriginal and Torres Strait Islander ('Indigenous') patients presenting to emergency medical services (EMSs) with stroke or TIA.

designRetrospective population-based data linkage study. SETTING,

participantsVictoria, Australia. Patients aged ≥ 18 years with hospital-confirmed stroke or TIA who presented to EMSs between 1 January 2015 and 30 June 2019 and were successfully linked with hospital or mortality datasets.

main outcome measuresThirty- and 90-day mortality, crude and age-standardised incidence rates, EMS quality of care.

resultsAmong 32,163 patients, 287 (0.9%) were Indigenous. Indigenous patients were younger than non-Indigenous patients (median age, 62 vs. 77 years, p < 0.001). Age-standardised incidence of EMS attendance was higher within the Indigenous population (343 vs. 144 per 100,000 person-years; incidence rate ratio, 2.383 [95% confidence interval (CI), 2.084-2.711]). Rates of call-taker identification of stroke or TIA and hospital diagnoses were comparable; however, Indigenous patients were less likely to receive a stroke assessment from paramedics (166/285 [58.2%] vs. 21,271/31,605 [67.3%]; p = 0.001) and more frequently taken to stroke-capable hospitals (257/275 [93.5%] vs. 27,371/30,647 [89.3%]; p = 0.027), but less frequently taken to endovascular thrombectomy-capable hospitals (67/275 [24.4%] vs. 10,015/30,647 [32.7%]; p = 0.003). Adjusted mortality was similar between groups (30 days: hazard ratio, 0.814 [95% CI, 0.518-1.279]; 90 days: hazard ratio, 0.805 [95% CI, 0.534-1.214]). However, age-standardised incidence of 90-day mortality was higher within the Indigenous population (39 vs. 24 per 100,000 person-years; incidence rate ratio, 1.621 [95% CI, 1.031-2.398]). Indigenous patients also more often recontacted EMSs for any reason within 90 days (subdistribution hazard ratio, 1.548 [95% CI, 1.194-2.007]).

conclusionsThe age-standardised incidence of EMS attendance for stroke in the Indigenous population was more than double that for the non-Indigenous population. Although there was no difference in stroke identification at the time of the emergency call, Indigenous patients were less likely to be evaluated by paramedics for stroke.

Indexed as

Emergency Medical ServicesHealth Services, IndigenousIschemic Attack, TransientQuality of Health CareStrokeAdultAgedAged, 80 and overAustralian Aboriginal and Torres Strait Islander PeoplesFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesVictoriaepidemiologyIndigenous healthmedical emergency servicesstroke

Identifiers

PMID42806575
PMCPMC13620277

What OpenQuestion holds

Textmetadata
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.