Characterising the Aboriginal and Torres Strait Islander patient journey after a serious road traffic injury and barriers to access to compensation: a protocol.

INTRODUCTION: Road safety has been a long-enduring policy concern in Australia, with significant financial burden of road trauma and evident socioeconomic disparities. Transport injuries disproportionately impact individuals in remote areas, those in lower socioeconomic situations, and Aboriginal and Torres Strait Islander populations. There is a lack of insight into transport injuries in Aboriginal and Torres Strait Islander communities, absence of Indigenous perspective in published research and limited utilisation of linked data assets to address the inequity. Aim 1 is to determine the breadth, cost and causal factors of serious injury from road traffic crashes in South Australia (SA) and New South Wales (NSW) with a focus on injury prevention. Aim 2 is to identify enablers and barriers to compensation schemes for Aboriginal and Torres Strait Islander patients in SA and NSW. METHODS AND ANALYSIS: This study will be guided by an Aboriginal and Torres Strait Islander Governance Group, applying Knowledge Interface Methodology and Indigenous research principles to ensure Indigenous Data Sovereignty and incorporation of informed perspectives. A mixed-method approach will be undertaken to explore study aims including using big data assets and mapping patient journey. CONCLUSION: The results of this study will provide valuable insights for the development of focused injury prevention strategies and policies tailored to Aboriginal and Torres Strait Islander communities. By addressing the specific needs and challenges faced by these communities, the study aims to enhance road safety outcomes and promote equitable access to healthcare and compensation for affected individuals and their families.

Impact of an injury hospital admission on childhood academic performance: a Welsh population-based data linkage study.

BACKGROUND: While injuries can impact on children's educational achievements (with threats to their development and employment prospects), these risks are poorly quantified. This population-based longitudinal study investigated the impact of an injury-related hospital admission on Welsh children's academic performance. METHODS: The Secure Anonymised Information Linkage databank, 55 587 children residing in Wales from 2006 to 2016 who had an injury hospital admission (58.2% males; 16.8% born in most deprived Wales area; 80.1% one injury hospital admission) were linked to data from the Wales Electronic Cohort for Children. The primary outcome was the Core Subject Indicator reflecting educational achievement at key stages 2 (school years 3-6), 3 (school years 7-9) and 4 (school years 10-11). Covariates in models included demographic, birth, injury and school characteristics. RESULTS: Educational achievement of children was negatively associated with: pedestrian injuries (adjusted risk ratio, (95% CIs)) (0.87, (0.83 to 0.92)), cyclist (0.96, (0.94 to 0.99)), high fall (0.96, (0.94 to 0.97)), fire/flames/smoke (0.85, (0.73 to 0.99)), cutting/piercing object (0.96, (0.93 to 0.99)), intentional self-harm (0.86, (0.82 to 0.91)), minor traumatic brain injury (0.92, (0.86 to 0.99)), contusion/open wound (0.93, (0.91 to 0.95)), fracture of vertebral column (0.78, (0.64 to 0.95)), fracture of femur (0.88, (0.84 to 0.93)), internal abdomen/pelvic haemorrhage (0.82, (0.69 to 0.97)), superficial injury (0.94, (0.92 to 0.97)), young maternal age (<18 years: 0.91, (0.88 to 0.94); 19-24 years: 0.94, (0.93 to 0.96)); area based socioeconomic status (0.98, (0.97 to 0.98)); moving to a more deprived area (0.95, (0.93 to 0.97)); requiring special educational needs (0.46, (0.44 to 0.47)). Positive associations were: being female (1.04, (1.03 to 1.06)); larger pupil school sizes and maternal age 30+ years. CONCLUSION: This study highlights the importance on a child's education of preventing injuries and implementing intervention programmes that support injured children. Greater attention is needed on equity-focused educational support and social policies addressing needs of children at risk of underachievement, including those from families experiencing poverty. VIBES-JUNIOR STUDY PROTOCOL: http://dx.doi.org/10.1136/bmjopen-2018-024755.

Navigating child product safety: Perspectives from experts on international challenges and priorities in regulation and research.

OBJECTIVE: To elicit and summarise collective expert opinion on contemporary child product safety risks, challenges and priorities. METHODS: An online survey targeted international experts from a cross-section of product safety fields. RESULTS: Fifty-five experts participated, representing 1,137 years of product safety experience, from a broad range of fields including industry risk management, product assessment and testing, policy and regulation, research, paediatric medicine, advocacy and product liability. Participants identified the leading product safety hazards across all age brackets as falls, drowning and chemical hazards, with variance in specific age brackets, particularly the threat to breathing hazards for infants. The leading products of concern to experts were electrical connection/distribution products, primarily button batteries and lithium-ion batteries, infant furnishing products and household furniture. Product safety priorities and challenges were identified under five themes: regulatory, surveillance, industry, consumer and product-specific. CONCLUSIONS: The gains in knowledge, insight and understanding from experts on contemporary child product safety risks and issues should inform policy and future research. IMPLICATIONS FOR PUBLIC HEALTH: There are significant consequences of unsafe consumer products on population health, and the results are timely as we face new product safety issues emerging from e-commerce, the digital transition and innovative product technologies.

Excess US Firearm Mortality During the COVID-19 Pandemic Stratified by Intent and Urbanization.

This cross-sectional study used time series forecasting to estimate excess firearm mortality in the US during the COVID-19 pandemic.

External causes of emergency department presentations: A missing piece to understanding unintentional childhood injury in Australia.

OBJECTIVE: To identify external causes of unintentional childhood injury presenting to Australian EDs. METHODS: Six major paediatric hospitals in four Australian states supplied de-identified ED data for 2011-2017 on age, sex, attendance time/date, presenting problem, injury diagnosis, triage category and mode of separation. Three hospitals supplied data on external cause and intent of injury. A machine classifier tool was used to supplement the missing external cause coding in the remaining hospitals to enable the compilation of a standardised dataset for childhood injury causes analysis. RESULTS: A total of 486 762 ED presentations for unintentional injury in children aged 0-14 years were analysed. The leading specified cause of ED presentations was low fall (35.0%) followed by struck/collision with an object (13.8%) with little sex difference observed. Males aged 10-14 years had higher rates of motorcycle, pedal cycle and fire/flame-related injury and lower rates of horse-related injury and drug/medicinal substance poisoning compared with females. The leading specified external cause resulting in hospitalisation was low fall (32.2%) followed by struck/collision with an object (11.1%). The injuries with the highest proportion of children being hospitalised were drownings (64.4%), pedestrian (53.4%), motorcycle (52.7%) and horse-related injuries (50.0%). CONCLUSIONS: This is the first large-scale study since the 1980s to explore external causes of unintentional childhood injury presenting to Australian paediatric EDs. It demonstrates a hybrid human-machine learning approach to create a standardised database to overcome data deficiencies. The results supplement existing knowledge of hospitalised paediatric injury to better understand the causes of childhood injury by age and sex, which require health service utilisation.

Assessing discrepancies in estimates of road traffic deaths in Brazil.

INTRODUCTION: The First UN Decade of Action for Road Safety (2011-2020) ended with most low/middle-income countries (LMICs) failing to reduce road traffic deaths. In contrast, Brazil reported a strong decline starting in 2012. However, comparisons with global health statistical estimates suggest that official statistics from Brazil under-report traffic deaths and overestimate declines. Therefore, we sought to assess the quality of official reporting in Brazil and explain discrepancies. METHODS: We obtained national death registration data and classified deaths to road traffic deaths and partially specified causes that could include traffic deaths. We adjusted data for completeness and reattributed partially specified causes proportionately over specified causes. We compared our estimates with reported statistics and estimates from the Global Burden of Disease (GBD)-2019 study and other sources. RESULTS: We estimate that road traffic deaths in 2019 exceeded the official figure by 31%, similar to traffic insurance claims (27.5%) but less than GBD-2019 estimates (46%). We estimate that traffic deaths have declined by 25% since 2012, close to the decline estimated by official statistics (27%) but much more than estimated by GBD-2019 (10%). We show that GBD-2019 underestimates the extent of recent improvements because GBD models do not track the trends evident in the underlying data. CONCLUSION: Brazil has made remarkable progress in reducing road traffic deaths in the last decade. A high-level evaluation of what has worked in Brazil could provide important guidance to other LMICs.

Addressing discrepancies in estimates of road traffic deaths and injuries in Ethiopia.

BACKGROUND: There are large discrepancies between official statistics of traffic injuries in African countries and estimates from the Global Burden of Disease (GBD) study and WHO's Global Status Reports on Road Safety (GSRRS). We sought to assess the magnitude of the discrepancy in Ethiopia, its implications and how it can be addressed. METHODS: We systematically searched for nationally representative epidemiological data sources for road traffic injuries and vehicle ownership in Ethiopia and compared estimates with those from GBD and GSRRS. FINDINGS: GBD and GSRRS estimates vary substantially across revisions and across projects. GSRRS-2018 estimates of deaths (27 326 in 2016) are more than three times GBD-2019 estimates (8718), and these estimates have non-overlapping uncertainty ranges. GSRRS estimates align well with the 2016 Demographic and Health Survey (DHS-2016; 27 838 deaths, 95th CI: 15 938 to 39 738). Official statistics are much lower (5118 deaths in 2018) than all estimates. GBD-2019 estimates of serious non-fatal injuries are consistent with DHS-2016 estimates (106 050 injuries, 95th CI: 81 728 to 130 372) and older estimates from the 2003 World Health Survey. Data from five surveys confirm that vehicle ownership levels in Ethiopia are much lower than in other countries in the region. INTERPRETATION: Inclusion of data from national health surveys in GBD and GSRRS can help reduce discrepancies in estimates of deaths and support their use in highlighting under-reporting in official statistics and advocating for better prioritisation of road safety in the national policy agenda. GBD methods for estimating serious non-fatal injuries should be strengthened to allow monitoring progress towards Sustainable Development Goal target 3.6.

Estimates of road traffic deaths in Tanzania.

INTRODUCTION: There is considerable uncertainty in estimates of traffic deaths in many sub-Saharan African countries, with the Global Burden of Disease (GBD) and the Global Status Report on Road Safety (GSRRS) reporting widely differing estimates. As a case study, we reviewed and compared estimates for Tanzania. METHODS: We estimated the incidence of traffic deaths and vehicle ownership in Tanzania from nationally representative surveys. We compared findings with GBD and GSRRS estimates. RESULTS: Traffic death estimates based on the 2012 census (9382 deaths; 95% CI: 7565 to 11 199) and the 2011-2014 Sample Vital Registration with Verbal Autopsy (8778; 95% CI: 7631 to 9925) were consistent with each other and were about halfway between GBD (5 608; 95% UI: 4506 to 7014) and WHO (16 252; 95% CI: 13 130 to 19 374) estimates and more than twice official statistics (3885 deaths in 2013). Surveys and vehicle registrations data show that motorcycles have increased rapidly since 2007 and now comprise 66% of vehicles. However, these trends are not reflected in GBD estimates of motorcycles in the country, likely resulting in an underestimation of motorcyclist deaths. CONCLUSION: Reducing discrepancies between GBD and GSRRS estimates and demonstrating consistency with local epidemiological data will increase the legitimacy of such estimates among national stakeholders. GBD, which is the only project that models the road-user distribution of traffic deaths in all countries, likely severely underestimates motorcycle deaths in countries where there has been a recent increase in motorcycles. Addressing police under-reporting and strengthening surveillance capacity in Tanzania will allow a better understanding of the road safety problem and better targeting of interventions.

Comparing estimates of road traffic deaths and non-fatal road traffic injuries in Cambodia.

INTRODUCTION: Timely, accurate and detailed information about traffic injuries are essential for managing national road safety programmes. However, there is considerable under-reporting in official statistics of many low and middle-income countries (LMICs) and large discrepancies between estimates from the Global Burden of Disease (GBD) study and WHO's Global Health Estimates (GHE). We compared all sources of epidemiological information on traffic injuries in Cambodia to guide efforts to improve traffic injury statistics. METHODS: We estimated the incidence of traffic deaths and injuries and household ownership of motor vehicles in Cambodia from nationally representative surveys and censuses. We compared findings with GDB and GHE estimates. RESULTS: We identified seven sources for estimating traffic deaths and three for non-fatal injuries that are not included as data sources in GBD and GHE models. These sources and models suggest a fairly consistent estimate of approximately 3100 deaths annually, about 50% higher than official statistics, likely because most hospital deaths are not recorded. Surveys strongly suggest that the vehicle fleet is dominated by motorcycles, which is not consistent with GBD estimates that suggest similar numbers of motorcyclist and vehicle occupant deaths. Estimates of non-fatal injuries from health surveys were about 7.5 times official statistics and 1.5 times GBD estimates. CONCLUSION: Including local epidemiological data sources from LMICs can help reduce uncertainty in estimates from global statistical models and build trust in estimates among local stakeholders. Such analysis should be used as a benchmark to assess and strengthen the completeness of reporting of the national surveillance system.

The three-part model for coding causes and mechanisms of healthcare-related adverse events.

ICD-11 provides a promising new way to capture healthcare-related harm or injury. In this paper, we elaborate on the framework for describing healthcare-related events where there is a presumed causal link between an event and underlying healthcare-related factors. The three-part model for describing healthcare-related harm or injury in ICD-11 consists of (1) a healthcare-related activity that is the cause of injury or other harm (selected from Chapter 23 of ICD-11); (2) a mode or mechanism of injury or harm, related to the underlying cause (also from Chapter 23 of ICD-11); and (3) the harmful consequences of the event to the patient, selected from any of Chapters 1 through 22 of ICD-11 (most importantly, the injury or harm experienced by the patient). Concepts from these three elements are linked/clustered through postcoordination to reflect the three-part model in a single coded expression. ICD-11 contains many novel features, and the three-part model described here for healthcare-related adverse events is a notable example.

Predictors of health-related quality of life following injury in childhood and adolescence: a pooled analysis.

BACKGROUND: Injury is a leading contributor to the global disease burden in children and places children at risk for adverse and lasting impacts on their health-related quality of life (HRQoL) and development. This study aimed to identify key predictors of HRQoL following injury in childhood and adolescence. METHODS: Data from 2259 injury survivors (<18 years when injured) were pooled from four longitudinal cohort studies (Australia, Canada, UK, USA) from the paediatric Validating Injury Burden Estimates Study (VIBES-Junior). Outcomes were the Paediatric Quality of Life Inventory (PedsQL) total, physical, psychosocial functioning scores at 1, 3-4, 6, 12, 24 months postinjury. RESULTS: Mean PedsQL total score increased with higher socioeconomic status and decreased with increasing age. It was lower for transport-related incidents, ≥1 comorbidities, intentional injuries, spinal cord injury, vertebral column fracture, moderate/severe traumatic brain injury and fracture of patella/tibia/fibula/ankle. Mean PedsQL physical score was lower for females, fracture of femur, fracture of pelvis and burns. Mean PedsQL psychosocial score was lower for asphyxiation/non-fatal submersion and muscle/tendon/dislocation injuries. CONCLUSIONS: Postinjury HRQoL was associated with survivors' socioeconomic status, intent, mechanism of injury and comorbidity status. Patterns of physical and psychosocial functioning postinjury differed according to sex and nature of injury sustained. The findings improve understanding of the long-term individual and societal impacts of injury in the early part of life and guide the prioritisation of prevention efforts, inform health and social service planning to help reduce injury burden, and help guide future Global Burden of Disease estimates.

Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries.

INTRODUCTION: Tracking progress towards Sustainable Development Goal (SDG) 3·6 of reducing traffic deaths and serious injuries poses a measurement challenge in most low-income and middle-income countries (LMICs) due to large discrepancies between reported official statistics and estimates from global health measurement studies. We assess the extent to which national population censuses and health surveys can fill the information gaps. METHODS: We reviewed questionnaires for nationally representative surveys and censuses conducted since 2000 in LMICs. We identified sources that provide estimates of household ownership of vehicles, incidence of traffic deaths and non-fatal injuries, and prevalence of disability. RESULTS: We identified 802 data sources from 132 LMICs. Sub-Saharan African countries accounted for 43% of all measurements. The number of measurements since 2000 was high, with 97% of the current global LMIC population having at least one measurement for vehicle ownership, 77% for deaths, 90% for non-fatal injuries and 50% for disability due to traffic injuries. Recent data (since 2010) on traffic injuries were available from far fewer countries (deaths: 21 countries; non-fatal injuries: 62 and disability: 12). However, there were many more countries with recent data on less-specific questions about unintentional or all injuries (deaths: 41 countries, non-fatal: 87, disability: 32). CONCLUSION: Traffic injuries are substantially underreported in official statistics of most LMICs. National surveys and censuses provide a viable alternative information source, but despite a large increase in their use to monitor SDGs, traffic injury measurements have not increased. We show that relatively small modifications and additions to questions in forthcoming surveys can provide countries with a way to benchmark their existing surveillance systems and result in a substantial increase in data for tracking road traffic injuries globally.

ICD-11: an international classification of diseases for the twenty-first century.

BACKGROUND: The International Classification of Diseases (ICD) has long been the main basis for comparability of statistics on causes of mortality and morbidity between places and over time. This paper provides an overview of the recently completed 11th revision of the ICD, focusing on the main innovations and their implications. MAIN TEXT: Changes in content reflect knowledge and perspectives on diseases and their causes that have emerged since ICD-10 was developed about 30 years ago. Changes in design and structure reflect the arrival of the networked digital era, for which ICD-11 has been prepared. ICD-11's information framework comprises a semantic knowledge base (the Foundation), a biomedical ontology linked to the Foundation and classifications derived from the Foundation. ICD-11 for Mortality and Morbidity Statistics (ICD-11-MMS) is the primary derived classification and the main successor to ICD-10. Innovations enabled by the new architecture include an online coding tool (replacing the index and providing additional functions), an application program interface to enable remote access to ICD-11 content and services, enhanced capability to capture and combine clinically relevant characteristics of cases and integrated support for multiple languages. CONCLUSIONS: ICD-11 was adopted by the World Health Assembly in May 2019. Transition to implementation is in progress. ICD-11 can be accessed at icd.who.int.

Health-Related Quality of Life (HRQoL) Outcomes Following Injury in Childhood and Adolescence Using EuroQol (EQ-5D) Responses with Pooled Longitudinal Data.

BACKGROUND: Injury is a leading contributor to the global disease burden in children, affecting their health-related quality of life (HRQoL)-yet valid estimates of burden are absent. METHODS: This study pooled longitudinal data from five cohort studies of pediatric injury survivors (5-17 years) at baseline, 1-, 4-, 6-, 12-, and 24- months (n = 2334). HRQoL post-injury was measured using the 3-level EQ-5D utility score (EQ-5D) and five health states (mobility, self-care, activity, pain, anxiety and depression (anxiety)). RESULTS: Mean EQ-5D post-injury did not return to baseline level (0.95) by 24 months (0.88) and was lower for females over time (-0.04, 95%CI -0.05, -0.02). A decreased adjusted risk ratio over time (ARR) was observed for intentional injuries (pain: 0.85, 95%CI 0.73,0.98; anxiety: 0.62, 95%CI 0.49,0.78); spinal cord injuries (mobility: 0.61, 95%CI 0.45,0.83), self-care: 0.76, 95%CI 0.63,0.91, activity: 0.64, 95%CI 0.47,0.88); moderate/severe traumatic brain injury (activity: 0.83, 95%CI 0.71,0.96). ARRs were also low for certain fractures, with various health states affected. CONCLUSIONS: HRQoL outcomes over time for children and adolescents post-injury differed across key demographic and injury related attributes. HRQoL did not reach levels consistent with full health by 24 months with recovery plateauing from 6 to 24 months. Tailored interventions are required to respond to the varying post-injury recovery trajectories in this population.

Innate Lymphoid Cells Promote Recovery of Ventricular Function After Myocardial Infarction.

BACKGROUND: Innate lymphoid cells type 2 (ILC2s) play critical homeostatic functions in peripheral tissues. ILC2s reside in perivascular niches and limit atherosclerosis development. OBJECTIVES: ILC2s also reside in the pericardium but their role in postischemic injury is unknown. METHODS: We examined the role of ILC2 in a mouse model of myocardial infarction (MI), and compared mice with or without genetic deletion of ILC2. We determined infarct size using histology and heart function using echocardiography. We assessed cardiac ILC2 using flow cytometry and RNA sequencing. Based on these data, we devised a therapeutic strategy to activate ILC2 in mice with acute MI, using exogenous interleukin (IL)-2. We also assessed the ability of low-dose IL-2 to activate ILC2 in a double-blind randomized clinical trial of patients with acute coronary syndromes (ACS). RESULTS: We found that ILC2 levels were increased in pericardial adipose tissue after experimental MI, and genetic ablation of ILC2 impeded the recovery of heart function. RNA sequencing revealed distinct transcript signatures in ILC2, and pointed to IL-2 axis as a major upstream regulator. Treatment of T-cell-deficient mice with IL-2 (to activate ILC2) significantly improved the recovery of heart function post-MI. Administration of low-dose IL-2 to patients with ACS led to activation of circulating ILC2, with significant increase in circulating IL-5, a prototypic ILC2-derived cytokine. CONCLUSIONS: ILC2s promote cardiac healing and improve the recovery of heart function after MI in mice. Activation of ILC2 using low-dose IL-2 could be a novel therapeutic strategy to promote a reparative response after MI.

Road user behaviour, attitudes and crashes: a survey of Aboriginal and Torres Strait Islander people in Australia.

OBJECTIVE: This study aimed to describe road user behaviour, attitudes and crashes in Aboriginal and Torres Strait Islander people in four urban, regional and remote communities located in New South Wales (NSW) and South Australia (SA). METHODS: Face-to-face surveys were administered to clients (n=625) in Aboriginal Community Controlled Health Services (ACCHS). All Aboriginal and Torres Strait Islander clients attending the ACCHS for any reason were approached to participate over a 2-week period. Surveys included questions on sociodemographic factors, crash involvement, road behaviours and road safety attitudes drawn from tools used in national surveys. RESULTS: The participation rate was high (69%-75%). Seat belt wearing rates were very high, particularly in the front of a car, although rear seat belt wearing rates in SA (77%) were substantially lower than in NSW (93%). Among drivers, 11% reported always or mostly driving 10 km/hour over the speed limit, and this was higher among drivers in SA (13.4%). Drivers aged 55 years and over and/or women were more likely to report that they do not drink at any time or restricted what they drank when driving. These results enable comparison with the Community Attitude to Road Safety survey conducted Australia-wide in 2013. CONCLUSIONS: This study confirms that Aboriginal and Torres Strait Islander people are inclined to report attitudes or road safety behaviours similar to the rest of the population; however, rear restraint use was lower and self-reported speeding was higher. These issues are likely attributable to transport options and geography in remote communities, which can contribute to overcrowding and unsafe driving practices.

Hazardous children's products on the Australian and US market 2011-2017: an empirical analysis of child-related product safety recalls.

OBJECTIVE: While there is evidence that unsafe children's products are entering the Australian market, with increasing product safety recalls, no research has examined the nature of recalls or their trends over time. This research analyses Australian and US child-related product safety recall data to better understand the frequency and nature of unsafe children's products, emerging hazard trends and cross-jurisdictional similarities and differences. Results can inform improved childhood injury prevention policy and regulation strategies in Australia. METHOD: Empirical analysis of child-related product safety recalls in Australia and the USA over the period 2011-2017. RESULTS: Cross-jurisdictional comparison revealed similarities in Australia and the USA, with over 80% of recalled products occurring in four industry segments (toys/games, household furniture/furnishings, clothing and sports equipment) and a common leading hazard of choking. Australia and the USA also had a similar number of child-related recalls over the study period (Australia: 652, USA: 668). Disparate trends included a 21% decrease in US child-related recalls over the study period, with most recalled products still complying with mandated safety requirements. In contrast, Australian child-related recalls increased by 88% over the study period, with the majority of recalled products failing to comply with mandated safety requirements. Based on US child-related recall data, the leading cause of injuries was the child falling, the most severe injuries related to furniture/furnishings and the most frequent injuries related to sports equipment. CONCLUSION: Analysing recall data provides new insights into hazardous children's products. Cross-jurisdictional comparison of data on recalls highlights disparities and indicates a need for reforms to improve regulation of children's products in Australia.

The Association Between Fault Attribution and Work Participation After Road Traffic Injury: A Registry-Based Observational Study.

Purpose To characterise associations between fault attribution and work participation and capacity after road traffic injury. Methods People aged 15-65 years, working pre-injury, without serious brain injury, who survived to 12 months after road traffic injury were included from two Victorian trauma registries (n = 2942). Fault profiles from linked compensation claims were defined as no other at fault, another at fault, denied another at fault, claimed another at fault, and unknown. Claimant reports in the denied and claimed another at fault groups contradicted police reports. Patients reported work capacity (Glasgow outcome scale-extended) and return to work (RTW) at 6, 12 and 24 months post-injury (early and sustained RTW, delayed RTW (≥ 12 months), failed RTW attempts, no RTW attempts). Analyses adjusted for demographic, clinical and injury covariates. Results The risk of not returning to work was higher if another was at fault [adjusted relative risk ratio (aRRR) = 1.67, 95% confidence interval (CI) 1.29, 2.17] or was claimed to be at fault (aRRR = 1.58, 95% CI 1.04, 2.41), and lower for those who denied that another was at fault (aRRR = 0.51, 95% CI 0.29, 0.91), compared to cases with no other at fault. Similarly, people had higher odds of work capacity limitations if another was at fault (12m: AOR = 1.49, 95% CI 1.24, 1.80; 24m: 1.63, 95% CI 1.35, 1.97) or was claimed to be at fault (12m: AOR = 1.54, 95% CI 1.16, 2.05; 24m: AOR = 1.80, 95% CI 1.34, 2.41), and lower odds if they denied another was at fault (6m: AOR = 0.67, 95% CI 0.48, 0.95), compared to cases with no other at fault. Conclusion Targeted interventions are needed to support work participation in people at risk of poor RTW post-injury. While interventions targeting fault and justice-related attributions are currently lacking, these may be beneficial for people who believe that another caused their injury.

Traumatic spinal cord injury in Victoria, 2007-2016.

OBJECTIVE: To investigate trends in the incidence and causes of traumatic spinal cord injury (TSCI) in Victoria over a 10-year period. DESIGN, SETTING, PARTICIPANTS: Retrospective cohort study: analysis of Victorian State Trauma Registry (VSTR) data for people who sustained TSCIs during 2007-2016. MAIN OUTCOMES AND MEASURES: Temporal trends in population-based incidence rates of TSCI (injury to the spinal cord with an Abbreviated Injury Scale [AIS] score of 4 or more). RESULTS: There were 706 cases of TSCI, most the result of transport events (269 cases, 38%) or low falls (197 cases, 28%). The overall crude incidence of TSCI was 1.26 cases per 100 000 population (95% CI, 1.17-1.36 per 100 000 population), and did not change over the study period (incidence rate ratio [IRR], 1.01; 95% CI, 0.99-1.04). However, the incidence of TSCI resulting from low falls increased by 9% per year (95% CI, 4-15%). The proportion of TSCI cases classified as incomplete tetraplegia increased from 41% in 2007 to 55% in 2016 (P < 0.001). Overall in-hospital mortality was 15% (104 deaths), and was highest among people aged 65 years or more (31%, 70 deaths). CONCLUSIONS: Given the devastating consequences of TSCI, improved primary prevention strategies are needed, particularly as the incidence of TSCI did not decline over the study period. The epidemiologic profile of TSCI has shifted, with an increasing number of TSCI events in older adults. This change has implications for prevention, acute and post-discharge care, and support.

Patterns and Predictors of Return to Work After Major Trauma: A Prospective, Population-based Registry Study.

OBJECTIVE: To characterize patterns of engagement in work during the 4-year period after major traumatic injury, and to identify factors associated with those patterns. BACKGROUND: Employment is an important marker of functional recovery from injury. There are few population-based studies of long-term employment outcomes, and limited data on the patterns of return to work (RTW) after injury. METHODS: A population-based, prospective cohort study using the Victorian State Trauma Registry. A total of 1086 working age individuals, in paid employment or full-time education before injury, were followed-up through telephone interview at 6, 12, 24, 36, and 48 months post-injury. Responses to RTW questions were used to define 4 discrete patterns: early and sustained; delayed; failed; no RTW. Predictors of RTW patterns were assessed using multivariate multinomial logistic regression. RESULTS: Slightly more than half of respondents (51.6%) recorded early sustained RTW. A further 15.5% had delayed and 13.3% failed RTW. One in 5 (19.7%) did not RTW. Compared with early sustained RTW, predictors of delayed and no RTW included being in a manual occupation and injury in a motor vehicle accident. Older age and receiving compensation predicted both failed and no RTW patterns. Preinjury disability was an additional predictor of failed RTW. Presence of comorbidity was an additional predictor of no RTW. CONCLUSIONS: A range of personal, occupational, injury, health, and compensation system factors influence RTW patterns after serious injury. Early identification of people at risk for delayed, failed, or no RTW is needed so that targeted interventions can be delivered.