ArticleBMJ open2016
Quantifying the hospitalised morbidity and mortality attributable to traumatic injury using a population-based matched cohort in Australia.
Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Community Opioid Dispensing After Injury (CODI): Protocol for a Population-Based Data Linkage Study.JMIR research protocols · 2022Article
- Seven-year excess mortality, functional outcome and health status after trauma in Hong Kong.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022Article
- Risk analysis and clinical outcomes of intraoperative periprosthetic fractures: a retrospective study of 481 bipolar hemiarthroplasties.Journal of orthopaedic surgery and research · 2019Article
- Evaluation of approximate comparison methods on Bloom filters for probabilistic linkage.International journal of population data science · 2019Article
- A retrospective cohort study to compare post-injury admissions for infectious diseases in burn patients, non-burn trauma patients and uninjured people.Burns & trauma · 2018Article
- Higher mortality risk among injured individuals in a population-based matched cohort study.BMC public health · 2017Article
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Authors and funding
3 authors.
Funding
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Abstract
objectivesTo quantify the 12-month hospitalised morbidity and mortality attributable to traumatic injury using a population-based matched cohort in Australia.
settingNew South Wales, Queensland and South Australia, Australia.
participantsIndividuals ≥18 years who had an injury-related hospital admission in 2009 formed the injured cohort. The non-injured comparison cohort was randomly selected from the electoral roll and was matched 1:1 on age, gender and postcode of residence at the date of the index injury admission of their matched counterpart. PRIMARY OUTCOME MEASURES: Using linked emergency department presentation, hospital admission and mortality records from 1 January 2008 to 31 December 2010 for both the injured and non-injured cohorts, 12-month mortality and pre-index and post-index injury hospital service use was examined. Adjusted rate ratios and attributable risk were calculated.
resultsThere were 167 600 individuals injured in 2009 and admitted to hospital in New South Wales, South Australia or Queensland with a matched comparison. The injured cohort had 3 times higher proportion of having ≥1 comorbidity preinjury, higher preinjury hospital service use, and a higher 12-month mortality compared with a non-injured comparison group. The injured cohort had 2.20 (95% CI 2.12 to 2.28) times higher rate of hospital admissions in the 12 months post the index injury admission compared with the non-injured comparison cohort. Injury was a likely contributory factor in at least 55% of hospitalisations within 12 months of the index injury hospitalisation.
conclusionsIndividuals who had an injury-related hospitalisation had higher mortality and are hospitalised at increased rates for many months postinjury. While comorbid conditions are significant, they do not account for the differences in outcomes. This study contributes to informing research efforts on better quantifying the attributable burden of hospitalised injury-related disability and mortality in Australia.
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