Evidence map›Paper›PMID 42100999›Full record

Observational studyHealth promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals2026

Pedestrian Crashes in the Northern Territory, Australia: A Detailed Epidemiological Analysis From 2013 to 2023.

S Clifford, K K S Lee, G Lamba, A Dadi, R Canty, F Wardle, R Ramsamy, C J C Wright

Abstract readObservational Study
In one paragraph

Observational study in Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals, 2026. 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

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

1 citing paper in PubMed.

  1. Pedestrian Crashes in the Northern Territory, Australia: A Detailed Epidemiological Analysis From 2013 to 2023.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2026
    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

8 authors.

S CliffordMenzies School of Health Research, Charles Darwin University, Darwin, Australia.ORCID https://orcid.org/0000-0002-9324-931X
K K S LeeCentre for Alcohol Policy Research, La Trobe University, Melbourne, Australia.
G LambaNorthern Territory Department of Health, Darwin, Australia.
A DadiMenzies School of Health Research, Charles Darwin University, Darwin, Australia.
R CantySchool of Public Health, College of Medicine and Public Health, Flinders University, Darwin, Australia.
F WardleMenzies School of Health Research, Charles Darwin University, Darwin, Australia.
R RamsamyMenzies School of Health Research, Charles Darwin University, Darwin, Australia.
C J C WrightMenzies School of Health Research, Charles Darwin University, Darwin, Australia.

Funding

Northern Territory Motor Accident Compensation Commission
6 · The paper itself

Abstract

objectivesPedestrian crashes are a major concern in the Northern Territory (NT), Australia, but the factors associated with these crashes differ from those in other Australian jurisdictions. This study aims to provide a comprehensive investigation of pedestrian crashes in the NT.

methodsUsing police crash records and hospitalisation data, we conducted a retrospective observational analysis. We describe crash factors and calculate standardised rate ratios to compare involvement by gender, age and Aboriginal and Torres Strait Islander status. Stepwise logistic regression was used to explore crash factors contributing to fatal and 'severe injury collision' outcomes.

resultsMale pedestrians were 1.43 times (95% CI: 1.22-1.66) more likely to be involved in crashes and 1.38 times more likely to be hospitalised (95% CI: 1.23-1.56). Across all age groups, Aboriginal and Torres Strait Islander pedestrians had higher crash involvement and fatality rates. Among those aged 35-44 years, the likelihood of being involved in a fatal crash increased 35-fold (95% CI: 8.81-305.88), while severe injury risk increased 14-fold (95% CI: 8.83-23.81). Most crashes occurred during clear weather and light traffic, on straight, flat, sealed and dry roads. Factors that influence the severity of injuries in a pedestrian crash are visibility, road speed limit and driver and pedestrian alcohol and drug use.

conclusionImproving lighting on roads with speed limits ≥ 70 km/h should be prioritised, or speed limits reduced where lighting upgrades are not feasible. Keeping people safe while they are intoxicated is a priority for reducing pedestrian injuries and deaths.

Indexed as

Accidents, TrafficPedestriansAdolescentAdultAgedChildFemaleHumansMaleMiddle AgedNorthern TerritoryRetrospective StudiesRisk FactorsWounds and InjuriesYoung Adult

Identifiers

PMID42100999
PMCPMC13154718

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.