ArticleInjury epidemiology2025
The association between remoteness of injury and in-hospital mortality for motor vehicle collision major trauma patients: evidence of survivor bias in an analysis of registry data.
Article in Injury epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Equity, evidence and indigenous knowledges in PROMs in Australian injury research: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Pooled it
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRural Australians have a higher age adjusted rate of both hospitalisation and death from injury, and this rate increases with increasing remoteness. However, it is uncertain if this is due to an increased incidence of injury or less access to treatment. The aim of this study is to examine the association of remoteness and in-hospital mortality in Major Trauma patients admitted to the Royal Melbourne Hospital.
methodsThis study was a retrospective cohort study of all persons aged 15 + years diagnosed with 'major trauma', (defined as Injury Severity Score, ISS > 12) from a Motor Vehicle Collision admitted to the Royal Melbourne Hospital from 2010 to 2021. The exposure of interest was remoteness as measured by the Accessibility/Remoteness Index of Australia (ARIA), the outcome of interest was in-hospital mortality. Logistic regression models were constructed looking at the odds of death by increasing remoteness adjusting for age, ISS, and comorbidity. Missing data were imputed using chained equations. A sensitivity analysis was performed for ARIA+ category, and a quantitative bias analysis performed for potential selection bias. All analyses were performed using Stata v17. Ethical approval was obtained from the Melbourne Health Human Research Ethics Committee (HREC2022_044).
resultsEligibility was met for 2324 cases, of whom 53.3% were classified as major city, 36.1% inner regional, and 10.6% outer regional/remote. In-hospital mortality was 6.0% for those injured in major cities, 5.4% in inner regional and 4.1% for outer regional/remote. The median ISS was 19 and 18.3% had at least one limiting comorbidity. The adjusted odds of death were reduced by half for those injured in outer regional and remote compared with major city (OR = 0.51, 95%CI = 0.25-1.03). This result did not alter with the sensitivity analysis for postcode of injury. Quantitative bias analysis suggested the presence of severe selection bias, with the odds ratio showing an increased odds of death (OR = 1.83) for more remotely injured persons.
conclusionPersons injured remotely are not more likely to die in-hospital after major trauma once they arrive at hospital. Unexpectedly, there was some evidence to suggest that those injured most remotely had a survival advantage, despite similar injury severity Quantitative bias analysis suggested selection bias could be responsible for this apparent survival advantage for more remotely injured persons.
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