Head injury-related road crash mortality in rural Western Australia

Rural and urban patterns of severe injuries and hospital mortality in Australia: An analysis of the Australia New Zealand Trauma Registry: 2015-2019

INTRODUCTION

In Australia, people living in rural areas, compared to major cities are at greater risk of poor health. There is much evidence of preventable disparities in trauma outcomes, however research quantifying geographic variations in injuries, pathways to specialised care and patient outcomes is scarce.

AIMS

(i) To analyse the Australia New Zealand Trauma Registry (ATR) data and report patterns of serious injuries according to rurality of the injury location ii) to examine the relationship between rurality and hospital mortality and iii) to compare ATR death rates with all deaths from similar causes, Australia-wide.

METHOD

A retrospective cohort study of patients in the ATR from 1^st July 2015 to 30^th June 2019 was conducted. Descriptive analyses of trauma variables according to rurality was performed. Logistic regression quantified the moderating effect of rurality on trauma variables and hospital mortality. Australian death data on similar injuries were sourced to quantify the additional mortality attributable to severe injury occurring outside Major Trauma Centres (MTCs).

RESULTS

Compared to major cities, rural patients were younger, more likely to have spinal cord injuries, and sustain traffic-related injuries that are 'off road'. Injuries occurring outside people's homes are more likely. Mortality risk was greater for patients sustaining severe traumatic brain injury (TBI) spinal cord injury (SCI) and head trauma in addition to intentional injuries. Compared to the ATR data, Australian population-wide trauma mortality rates showed diverging trends according to rurality. The ATR only captures 14.1% of all injury deaths occurring in major cities and, respectively, 6.3% and 3.2% of deaths in regional and remote areas.

CONCLUSION

Compared to major cities, injuries occurring in rural areas of Australia often involve different mechanisms and result in different types of severe injuries. Patients with neurotrauma and intentional injuries who survived to receive definitive care at a MTC were at higher risk of hospital death. To inform prevention strategies and reduce morbidity and mortality associated with rural trauma, improvements to data systems are required that involve data linkage and include information about patient care from pre-hospital providers, regional hospitals and major trauma centres.

A state-of-the-art review of factors that predict mortality among traumatic injury patients following a road traffic crash

BACKGROUND

Traffic related injuries are a major public health problem worldwide with millions of people dying every year. The objective of this state-of-the-art review was to identify the factors reported in the literature as being associated with mortality for trauma patients following road traffic crashes.

METHOD

A systematic search was undertaken of PubMed/MEDLINE, EMBASE, CINAHL, Web of Science, and Cochrane Library databases to identify articles published in the past two decades (2000-2020). Of 8257 records, 4507 remained for title, abstract and full text screening after duplicates were removed. The level of evidence of selected studies was assessed using The National Health and Medical Research Council (NHMRC) guideline.

RESULTS

This review included eighty primary research studies examining mortality risk factors following a road traffic crash. The study identified factors in five categories; (i) demographic factors; (ii) behavioural factors; (iii) crash characteristics; (iv) environmental and timing factors; (v) injury severity and pre-injury/condition. The primary studies are summarised in a matrix. Included studies included level II to level IV levels of evidence based on the NHMRC criteria.

CONCLUSION

This study shows that there are a large number of factors associated with increased risk of mortality following diverse types of traffic crashes. Understanding these wide-ranging factors can strengthen injury and mortality prevention by guiding decision makers about where to focus strategy implementation.

Variations in car crash-related hospitalization costs amongst young adults in New South Wales, Australia

BACKGROUND

This study aims to examine factors associated with variation in crash-related hospitalization costs for young adults in New South Wales (NSW), Australia with a particular focus on types of vehicle occupant, rurality of residence and socioeconomic status (SES).

METHODS

Data on patients aged 17-25 years, admitted to public hospitals due to a crash during July 2000-June 2007 were extracted from the NSW Health Admission Collection database. The hospitalization cost of each admission was calculated based on published charges for specific Australian Refined-Diagnosis Related Groups (AR-DRG). Multivariable analyses using generalized estimating equations were used to estimate costs by vehicle occupant type (driver, passenger and other occupants), rurality of residence (urban, regional and rural areas) and SES (low, moderate and high SES areas).

RESULTS

During 2000-2007, there were 11,892 crash-related hospitalizations involving young adults, aged 17-25 years, in NSW. These cost the health sector about A$87.6 million or on average, A$7363 per hospitalization (mean length of stay (LOS) 5.3 days). Compared to drivers, passengers had significantly longer LOS (<0.01) as well as higher hospitalization costs (p = 0.04). Regional and rural young adults had significantly longer LOS and higher hospitalization costs compared to urban young adults (p<0.05). Compared with young adults from high SES areas, young adults from moderate SES areas had significantly higher costs (p = 0.02), whilst the higher costs for young adults of low SES areas was borderline significant (p = 0.06), although differences in LOS by SES were not significant.

CONCLUSION

Annually, young adults' crashes in NSW were estimated to cost the health sector at least A$14.6 million between 2001 and 2007. The higher hospitalization costs and LOS for young adults living in regional and rural vs. urban areas, and those living in moderate and low SES vs. high SES areas partly reflects the severity of these crashes and challenges for treatment. Based on these findings, a strong economic argument can be made for targeting prevention strategies to young people living in rural and low SES areas. The area variations in costs also suggest some scope for policy makers to consider potentially more efficient ways of targeting both treatment and preventative programmes.

Traffic accidents with motorcycles and their relationship to mortality

This study characterizes traffic accidents involving motorcycles according to local conditions, data concerning the type of accident, date and time, and identifies among these variables those associated with the death of victims. This retrospective study uses data from traffic collision reports from 2004 and death records from the institute of forensic medicine. A total of 99.4% of the events occurred in urban areas, where illumination (87.4%), weather conditions (80.6%); and traffic signs (70.6%) were satisfactory. Collisions between motorcycles and cars or pickup trucks prevailed (55.5%), followed by motorcycle falls (18.0%). In relation to the type of collision, the highest percentage was observed in broadside collision category (35.2%). There were differences between the groups of fatalities and survivors in relation to the area and illumination in the collision’s site, in addition to the types of collision and impact. The conclusion is that local conditions and types of collision and impact stand out among the multiple variables defining the severity of accidents involving motorcycles.

Unravelling the extent of inequalities in health across urban and rural areas: evidence from a national sample in England

Studies of inequalities in health between rural and urban settings have produced mixed and sometimes conflicting results, depending on the national setting of the study, the level of geographic detail used to define rural areas and the health indicators studied. By focusing on morbidity data from a national sample of individuals, this study aims to examine the extent of inequalities in health between urban and rural areas, as well as inequalities in health across rural areas of England. Multilevel analyses for poor self-rated health, overweight and obesity, and common mental disorders are reported for a sample of 30,776 individuals aged 18 years and older (obtained from the Health Survey for England years 2000-2003 combined) and distributed across 3645 small areas classed in four categories: two groups of urban areas (Greater London area or 'other cities') and two types of rural settings (semi-rural areas or villages). Results show that rural dwellers were significantly less likely than residents of urban areas to report their health as being fair or poor and to report common mental disorders, independent of their socio-demographic characteristics. However, as for urban settlements, there were significant variations in health across semi-rural areas and across villages, indicating the presence of health inequalities within rural settings in England. These inequalities were not fully explained by the individual composition of the areas or by the available measures of area socioeconomic conditions, indicating that in rural contexts more specific factors may have significance for health. Different policies and services for health promotion and care may need to be targeted to different types of rural areas.

The challenges of developing a trauma system for Indigenous people

Trauma systems have been shown to provide the best trauma care for injured patients. A trauma system developed for Indigenous people should take into account many factors including geographical remoteness and cultural diversity. Indigenous people suffer from a significant intentional and non-intentional burden of injury, often greater than non-Indigenous populations, and a public health approach in dealing with trauma can be adopted. This includes transport issues, prevention and control of intentional violence, cultural sensitization of health providers, community emergency responses, community rehabilitation and improving resilience. The ultimate aim is to decrease the trauma burden through a trauma system with which indigenous people can fully identify.

Incidence of hospital-treated traumatic brain injury in the Oslo population

BACKGROUND

The aim of this prospective, population-based study is to present the incidence of hospital-treated traumatic brain injury (TBI) in Oslo, Norway, and to describe the severity of brain injuries and outcome of the patients' acute medical care.

METHODS

Data were obtained from hospital admission registers and medical records from May 2005 to May 2006. The initial severity of TBI was measured by the Glasgow Coma Scale. The region is urban with a population of 534,129.

RESULTS

The 445 patients identified represent an annual incidence of 83.3/100,000. The median age was 29 years. The male:female ratio was 1.8:1.0. The highest incidence of TBI hospitalizations was found in the elderly males and the youngest children. The most common causes of TBI were falls (51%) and transport accidents (29.7%). Intracranial lesions were found more often in the elderly. The case fatality rate was 2.0/100 hospitalized patients and was highest in the elderly.

CONCLUSIONS

The incidence of hospital-treated TBI in this study is considerably lower than that found in previous studies from Norway and Scandinavia. Despite the apparent decline in TBI hospitalization rates, our findings should also draw attention to the need for more effective preventive programmes related to falls. Studies that assess long-term consequences of TBI in elderly patients are also needed.

An epidemiological study of head injuries in a UK population attending an emergency department

We aimed to identify the attendance rate for all head injuries, and for moderate to severe head injury (MSHI), in an emergency department (ED), and related risk factors for MSHI, including age, sex, area of residence, and socioeconomic status (SES). This was a retrospective descriptive epidemiological study of an ED database of head injury attendances over 6 years, carried out in an ED that serves both urban and mixed rural and urban areas, with a wide socioeconomic range, and a total population of 344,600. The main outcome measure was rates of attendance for head injury. Head injury presentations accounted for 3.4% of all attendances per year. An overall rate of 453 per 100,000 was found for all head injuries, of which 40 per 100,000 were moderate to severe (10.9%). Urban residents had significantly greater risk of presenting with MSHI compared with residents of mixed/rural areas. Males were more at risk than females, and children and adolescents had higher risk of MSHI. A high attendance rate of MSHI was found in the <5 year old age group in urban areas for both sexes. A gradient, with higher attendance in groups with lower SES, was observed for children in urban areas, while the gradient was reversed in mixed/rural areas. Head injuries are a relatively common cause of attendance at ED. There is significant variation in attendance with MSHI with regard to sex, age, socioeconomic factors, and type of area of residence. The planning and delivery of preventative and management services may be improved by such analyses.

Does living in rural areas make a difference for health in Québec?

This study offers an overview of the health status of rural populations and its major determinants in Québec. A wide range of indicators are examined along a spatial grid that allows rural-urban as well as intrarural comparisons. Differences between urban and rural populations mainly concern specific health problems and determinants, while notable variations on these are noted within rural areas. Some avenues for further research and public health policies in Québec are presented.

Comparison of urban and rural non-fatal injury: the results of a statewide survey

OBJECTIVES

This study compared the epidemiology of non-fatal injury among urban and rural residents of Colorado.

DESIGN

A stratified probability sample with random digit dial methods was used to survey Colorado residents by telephone regarding injuries experienced in the last 12 months. Questions on the cause of the injury, the activity at the time of the injury, and the place of injury were based on the Nordic Medico Statistical Committee's (NOMESCO) classification of external causes of injuries.

SUBJECTS

A total of 1425 urban and 1275 rural Colorado residents aged 18 and older were interviewed.

RESULTS

Age, gender, marital status, and rural residency were found to increase the odds of self reported injury. The adjusted odds ratio for self reported injury was 1.3 (95% confidence interval (CI) 1.01 to 1.68) for rural compared with urban residents. Rural residence (odds ratio 1.02, 95% CI 0.51 to 7.01) was not a risk factor for injury among the highest risk group, those who were single and never married. No differences in injury characteristics were found by urban-rural status.

CONCLUSIONS

The increased odds of self reported injury among rural residents were not explained by differences in the causes of injury or other injury characteristics. The differences in the importance of rural residence in increased odds of injury by marital status warrants further understanding and may be important in the development of injury prevention programs. Based on comparison with a similar survey, the NOMESCO coding system appears to be a viable alternative survey tool for gathering information on injury characteristics.