Epidemiology of trauma: a population-based study of geographical risk factors for injury deaths in the working-age population of Norway

Incidence, severity and changes of abnormal vital signs in trauma patients: A national population-based analysis

BACKGROUND

Physiological criteria are used to assess the potential severity of injury in the early phase of a trauma patient's care trajectory. Few studies have described the extent of abnormality in vital signs and different combinations of these at a national level. Aim of the study was to identify physiologic abnormalities in trauma patients and describe different combinations of abnormalities and changes between the pre-hospital and emergency department (ED) settings.

METHOD

Norwegian Trauma Registry (NTR) data between 01.01.15 - 31.12.18, where evaluated on the prevalence and characteristics of abnormal physiologic variables. Primary outcome were rates of hypoventilation (respiratory rate [RR] < 10 breaths per min), hyperventilation (RR > 29 breaths per min), hypotension (systolic blood pressure [SBP] < 90 mmHg), and reduced level of consciousness (Glasgow Coma Scale [GCS] < 13).

RESULTS

A total of 24,482 patients were included. Documented values for RR, SBP and GCS were 77.6%, 78.5% and 81.9% in the pre-hospital phase, and the corresponding percentages in the ED were 95.5%, 99.2% and 98.6%, respectively. In the pre-hospital phase, 3,615 (14.8%) patients had at least one abnormal vital sign, whereas the corresponding numbers in the ED, were 3,616 (14.8%) patients. The most frequent combination was low GCS and hyperventilation. A worsened RTS-score from pre-hospital phase to the ED was observed for RR, SBP and GCS in 3.9%, 1.2% and 1.9% of incidents, respectively. Overall 30-day mortality was 3.1% (n=752). Of these, 60.8% had abnormal vital signs, with decreased GCS as the most prevalent (61.3%).

CONCLUSION

Most trauma patients had normal vital signs. According to the RTS-score, there were few deteriorations in RR, SBP and GCS between pre-hospital phase and the ED. The most frequent abnormality was low GCS, with a higher proportion in those who died within 30 days.

Enhancing healthcare planning using population data generated from mobile phone networks in Futaba County after the Great East Japan earthquake

After the Great East Japan Earthquake, planning appropriate healthcare resource allocation was crucial. However, accurately estimating medical care demand was challenging due to substantial population fluctuations caused by extensive evacuations, compounded by the inaccuracy of conventional Resident Resister data in this context. This study employs population data generated from mobile phone network from 2019 to 2020 to conduct a detailed temporal and spatial population estimation in Futaba County, originally a complete evacuation zone. To enhance the precision of population estimates, population data independently collected by each municipality were used as reference data in the estimation process. Further, the utility of the estimated population data for calculating emergency transport rates was assessed. Our findings revealed discrepancies between daytime and nighttime populations within Okuma and Futaba Town, where median day/night population ratio exceeded three across both weekdays and weekends. Additionally, sex-age-adjusted emergency transport rates calculated using the estimated population demonstrated closer alignment with the national average compared to those calculated based on census data. This study demonstrates the importance of considering dynamic population data, such as that generated from mobile phone networks, in enhancing healthcare planning and ensuring that resources are efficiently allocated to meet communities' evolving needs during recovery periods.

Sex-Based Differences in Polytraumatized Patients between 1995 and 2020: Experiences from a Level I Trauma Center

Background/Objectives: The aim of this study was to examine sex-related differences in the outcomes of polytraumatized patients admitted to a level I trauma center. Methods: This was a retrospective data analysis of 980 consecutive polytraumatized patients admitted to a single level I trauma center between January 1995 and December 2020. Results: Among all patients, about 30% were female, with a significantly higher age and significantly higher rates of suicidal attempts. No sex-related differences regarding injury severity or trauma mechanisms could be seen, but female patients had significantly higher overall in-hospital mortality rates compared to male patients. Even in the elderly group of patients, elderly female patients were significantly older compared to elderly male patients, with significantly increased lengths of hospital stay. In the elderly group of patients, no sex-related differences regarding injury severity, trauma mechanisms or mortality could be detected. Multivariate analysis revealed suicidal attempt, severe head injury and age > 54 years as independent prognostic factors in the survival of polytraumatized patients. Conclusions: Distinctive sex-related differences can be found, with female polytraumatized patients being significantly older and having higher overall mortality rates with significantly increased LOS. Our study suggests a strong sex-independent influence of age, suicidal attempt and severe head injury on the outcomes of polytraumatized patients.

Association Between Social Determinants of Health and Traumatic Brain Injury: A Scoping Review

Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. Disparities exist in the populations that acquire TBIs, however, with a greater burden and poorer outcomes associated with communities of color and lower socioeconomic status. To combat health inequities such as these, institutions have begun to target social determinants of health (SDoH), which are environmental factors that affect health outcomes and risks. The SDoH may play a role in sustaining a TBI and provide modifiable targets for action to reduce the risk of TBI, especially in high-risk communities. In this study, we describe the existing literature regarding SDoH and their association with sustaining a TBI. We performed a scoping review with a comprehensive search of the Ovid MEDLINE/Embase databases. To summarize the literature, this review adapts the World Health Organization's Commission on SDoH's conceptual framework. Fifty-nine full-text articles, including five focusing on lower and middle-income countries, met our study criteria. Results of the scoping review indicate that several structural determinants of health were associated with TBI risk. Lower educational attainment and income levels were associated with higher odds of TBI. In addition, multiple studies highlight that minority populations were identified as having higher odds of TBI than their White counterparts. Literature highlighting intermediate determinants of health examined in this review describes associations between sustaining a TBI and rurality, work environment, medical conditions, medication/substance use, and adversity. Recommended exploration into lesser-researched SDoH is discussed, and the expansion of this review to other aspects of the TBI continuum is warranted.

The association between regional guidelines compliance and mortality in severe trauma patients: an observational, retrospective study

BACKGROUND AND IMPORTANCE

Trauma is a major cause of mortality and morbidity. Regional trauma systems are the cornerstones of healthcare systems, helping to improve outcomes and avoid preventable deaths in severe trauma patients.

OBJECTIVES

The goal of this study was to evaluate the association between compliance with the guidelines of a regional trauma management system and survival at 28 days of severe trauma patients.

DESIGN, SETTINGS AND PARTICIPANTS

We conducted a retrospective observational study from 1 January 2019 to 31 December 2019. All adult patients admitted for trauma at the University Hospital of Marseille (France) and requiring a pre-hospital medical team were analysed. Compliance with a list of 30 items based on the regional guidelines for the trauma management was evaluated. Each item was classified as compliant, not compliant or not applicable. The global compliance was calculated for each patient as the ratio between the number of compliant items over the number of applicable items.

OUTCOME MEASURES AND ANALYSIS

The primary aim was to measure the association between compliance with the guidelines and survival at 28 days using a logistic regression. Secondary objectives were to measure the association between compliance with the guidelines and survival at 28 days and 6 months according to the severity of the patients, using a cut-off of the injury severity score at 24.

MAIN RESULTS

A total of 494 patients with a median age of 35.0 (25.0-50.0) years were analysed. Global compliance with guidelines was 63%. Mortality at 28 days and 6 months was assessed at 33 (6.7%) and 37 (7.5%) patients, respectively. The level of compliance was associated with reduced mortality at 28 days [odds ratio (OR) at 0.94 and 95% confidence interval (CI) at 0.89-0.98]. In the subgroup of 122 patients with an injury severity score above 23, the level of compliance was associated with reduced mortality at 28 days [OR: 0.93 (95% CI: 0.88-0.99)] and 6 months [OR: 0.93 (95% CI: 0.87-0.99)].

CONCLUSION

Increased levels of compliance with the guidelines in severe trauma patients were associated with an increase in survival, notably in the most severe patients.

Effect of urban vs. remote settings on prehospital time and mortality in trauma patients in Norway: a national population-based study

BACKGROUND

Norway has a diverse population pattern and often long transport distances from injury sites to hospitals. Also, previous studies have found an increased risk of trauma-related mortality in remote areas in Norway. Studies on urban vs. remote differences on trauma outcomes from other countries are sparse and they report conflicting results.The aim of the present study was to investigate differences in prehospital time intervals in urban and remote areas in Norway and assess how prehospital time and urban vs. remote settings were associated with mortality in the Norwegian trauma population.

METHODS

We performed a population-based study of trauma cases included in the Norwegian Trauma Registry from 2015 to 2020. 28,988 patients met the inclusion criteria. Differences in study population characteristics and prehospital time intervals (response time, on-scene time and transport time) were analyzed. The Norwegian Centrality Index score was used for urban vs. remote classification. Descriptive statistics and relevant non-parametric tests with effect size measurements were used. A binary logistic regression model, adjusted for confounding factors, was performed.

RESULTS

The prehospital time intervals increased significantly from urban to remote areas.Adjusted for control variables we found a significant relationship between prolonged on-scene time and higher odds of mortality. Also, suburban areas compared with remote areas were associated with higher odds of mortality.

CONCLUSION

In this nationwide study comparing prehospital time intervals in urban and remote areas, we found that prehospital time intervals in remote areas exceeded those in urban areas. Prolonged on-scene time was found to be associated with higher odds of mortality, but remoteness itself was not.

Epidemiology and outcomes of patients with penetrating trauma in Incheon Metropolitan City, Korea based on National Emergency Department Information System data: a retrsopective cohort study

Purpose

Patients with penetrating injuries are at a high risk of mortality, and many of them require emergency surgery. Proper triage and transfer of the patient to the emergency department (ED), where immediate definitive treatment is available, is key to improving survival. This study aimed to evaluate the epidemiology and outcomes of patients with penetrating torso injuries in Incheon Metropolitan City.

Methods

Data from trauma patients between 2014 and 2018 (5 years) were extracted from the National Emergency Department Information System. In this study, patients with penetrating injuries to the torso (chest and abdomen) were selected, while those with superficial injuries were excluded.

Results

Of 66,285 patients with penetrating trauma, 752 with injuries to the torso were enrolled in this study. In the study population, 345 patients (45.9%) were admitted to the ward or intensive care unit (ICU), 20 (2.7%) were transferred to other hospitals, and 10 (1.3%) died in the ED. Among the admitted patients, 173 (50.1%) underwent nonoperative management and 172 (49.9%) underwent operative management. There were no deaths in the nonoperative management group, but 10 patients (5.8%) died after operative management. The transferred patients showed a significantly longer time from injury to ED arrival, percentage of ICU admissions, and mortality. There were also significant differences in the percentage of operative management, ICU admissions, ED stay time, and mortality between hospitals.

Conclusions

Proper triage guidelines need to be implemented so that patients with torso penetrating trauma in Incheon can be transferred directly to the regional trauma center for definitive treatment.

Characteristics of a trauma population in an ambulance organisation in Sweden: results from an observational study

BACKGROUND

Globally, injuries are a major health problem, and in Sweden, injuries are the second most common reason for ambulance dispatch. However, there is a knowledge gap regarding the epidemiology of injuries requiring assessment by emergency medical services (EMS) in Sweden. The aim of the present study was to describe the prehospital population with injuries that have been assessed and treated by EMS.

METHODS

A randomly selected retrospective sample was collected from 1 January through 31 December 2019 in a region in southwestern Sweden. Data were collected from ambulance and hospital medical records.

RESULTS

Among 153,724 primary assignments, 26,697 (17.4%) were caused by injuries. The study cohort consisted of 5,235 patients, of whom 50.5% were men, and the median age was 63 years. The most common cause of injury was low-energy fall (51.4%), and this was the cause in 77.8% of those aged > 63 years and in 26.7% of those aged ≤ 63 years. The injury mechanism was a motor vehicle in 8.0%, a motorcycle in 2.1% and a bicycle in 4.0%. The most common trauma location was the residential area (55.5% overall; 77.9% in the elderly and 34.0% in the younger group). In the prehospital setting, the most frequent clinical sign was a wound (33.2%), a closed fracture were seen in 18.9% and an open fracture in 1.0%. Pain was reported in 74.9% and 42.9% reported severe pain. Medication was given to 42.4% of patients before arrival in the hospital. The most frequent triage colour according to the RETTS was orange (46.7%), whereas only 4.4% were triaged red. Among all patients, 83.6% were transported to the hospital, and 27.8% received fracture treatment after hospital admission. The overall 30-day mortality rate was 3.4%.

CONCLUSION

Among EMS assignments in southwestern Sweden, 17% were caused by injury equally distributed between women and men. More than half of these cases were caused by low-energy falls, and the most common trauma location was a residential area. The majority of the victims had pain upon arrival of the EMS, and a large proportion appeared to have severe pain.

Disease burden of tuberculosis and post-tuberculosis in Inner Mongolia, China, 2016-2018 - based on the disease burden of post-TB caused by COPD

BACKGROUND

Tuberculosis (TB) remains one of the most serious infectious diseases worldwide. China has the second highest TB burden globally, but existing studies have mostly neglected the post-tuberculosis (post-TB) disease burden. This study estimated the disease burden of TB and post-TB in Inner Mongolia, China, from 2016 to 2018.

METHODS

Population data were collected from TB Information Management System. Post-TB disease burden was defined as the burden caused by Chronic Obstructive Pulmonary Disease (COPD) occurring after patients with TB were cured. To estimate the incidence rate of TB, standardized mortality rate, life expectancy, and cause eliminated life expectancy, using descriptive epidemiological, abridged life table and cause eliminated life table. On this basis, the Disability-Adjusted Life Years (DALY), Years Lived with Disability (YLD) and Years of Life Lost (YLL) due to TB were further be estimated. The data were analyzed using Excel 2016 and SPSS 26.0. Joinpoint regression models were used to estimate the time and age trends of the disease burden of TB and post-TB.

RESULTS

The TB incidence in 2016, 2017, and 2018 was 41.65, 44.30, and 55.63/100,000, respectively. The standardized mortality in the same period was 0.58, 0.65, and 1.08/100,000, respectively. From 2016 to 2018, the total DALYs of TB and post-TB were 5923.33, 6258.03, and 8194.38 person-years, and the DALYs of post-TB from 2016 to 2018 were 1555.89, 1663.33, and 2042.43 person-years. Joinpoint regression showed that the DALYs rate increased yearly from 2016 to 2018, and the rate of males was higher than that of females. TB and post-TB DALYs rates showed a rising tendency with increasing age (AAPC values were 149.6% and 157.0%, respectively, P < 0.05), which was higher in the working-age population and elderly.

CONCLUSION

The disease burden of TB and post-TB was heavy and increased year by year in Inner Mongolia from 2016 to 2018. Compared with the youngster and females, working-age population and the elderly and males had a higher disease burden. Policymakers should be paid more attention to the patients' sustained lung injury after TB cured. There is a pressing need to identify more effective measures for reducing the burden of TB and post-TB of people, to improve their health and well-being.

Impact of the Social Determinants of Health on Adult Trauma Outcomes

Social determinants of health (SDOHs) have been well studied within the literature in the United States but the effects of these determinants of health on patients with trauma have garnered less attention. The interaction between patients with SDOHs and patients with trauma requires clinicians caring for this population to view patients with trauma through a multifaceted lens. The purpose of this article will be to illuminate the drivers of trauma in the adult population and how the SDOHs and the health-care system come together to contribute to disparities in trauma outcomes.

Changing from a two-tiered to a one-tiered trauma team activation protocol: a before-after observational cohort study investigating the clinical impact of undertriage

BACKGROUND

The aim of this study was to compare the effect of the change in TTA protocol from a two-tier to one-tier, with focus on undertriage and mortality.

MATERIAL AND METHODS

A before-after observational cohort study based on data extracted from the Stavanger University Hospital Trauma registry in the transition period from two-tier to a one-tier TTA protocol over two consecutive 1-year periods (2017-2018). Comparative analysis was done between the two time-periods for descriptive characteristics and outcomes. The main outcomes of interest were undertriage and mortality.

RESULTS

During the study period 1234 patients were included in the registry, of which 721 (58%) were in the two-tier and 513 (42%) in the one-tier group. About one in five patients (224/1234) were severely injured (ISS > 15). Median age was 39 in the two-tier period and 43 years in the one-tier period (p = 0.229). Median ISS was 5 for the two-tier period vs 9, in the one-tier period (p = 0.001). The undertriage of severely injured patients in the two-tier period was 18/122 (15%), compared to 31/102 (30%) of patients in the one-tier period (OR = 2.5; 95% CI 1.8-4.52). Overall mortality increased significantly between the two TTA protocols, from 2.5 to 4.7% (p = 0.033), OR 0.51 (0.28-0.96) CONCLUSION: A protocol change from two-tiered TTA to one-tiered TTA increased the undertriage in our trauma system. A two-tiered TTA may be beneficial for better patient care.

Trauma team training in Norwegian hospitals: an observational study

Background

Traumatic injuries are a leading cause of deaths in Norway, especially among younger males. Trauma-related mortality can be reduced by structural measures, such as organization of a trauma system. Many hospitals in Norway treat few seriously injured patients, one of the reasons for development of the Norwegian trauma system. Since its implementation, there has been continuous improvement of this system, including trauma team training. Regular trauma team training is compulsory, with the aims of compensating for lack of experience and maintaining competence. The purpose of this study was to present an overview of current trauma team training activities in Norway.

Methods

For this observational study, the authors developed an online questionnaire and mailed it to local trauma coordinators from 38 Norwegian hospitals—including four trauma centers and 34 acute hospitals with trauma function. The study was performed during April–June 2020, with a two-month response window. Trauma team training frequency was assessed in four predefined intervals: < 5, 5–9, 10–15 and > 15 times per year. The response rate was 33 of 38, 87%.

Results

All responding hospitals conducted regular trauma team training. The frequency of training increased significantly from 2013 to 2020 (Chi square test, Chi² 8.33, p = 0.04). All hospitals described a quite homogenous approach. The trauma centres trained more frequently as compared to the acute care hospitals (Chi square test, Chi² 8.24, p = 0.04).

Conclusions

All responding hospitals performed regular trauma team training using a homogenous approach, which is in line with previous assessments. We observed a minor improvement in frequency compared to prior assessments. Our findings suggest that Norwegian trauma teams likely maintain their competence through team training. All hospitals followed the current recommendations from the National Trauma Plan.

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.

Blood product availability in the Washington state trauma system

BACKGROUND

Early transfusion can prolong life in injured patients awaiting definitive hemorrhage control. We conducted a community resources assessment of blood product availability at hospitals within the Washington State (WA) Regional Trauma System, with the expectation that a minority of Level IV and V centers would have blood products routinely available for use in resuscitation.

METHODS

We designed a questionnaire soliciting information on routinely available unit quantities of red blood cells (RBC), plasma, platelets, cryoprecipitate, and/or whole blood and submitted this questionnaire electronically to the 82 WA designated trauma centers (Levels I-V). Non-responders were contacted directly by telephone. The study was conducted in September and October 2021. US 2020 census data were used to correlate results with local population densities.

RESULTS

First-round contact netted responses from 57 (70%) centers; the remaining centers provided information via telephone, for a 100% final response. Packed RBC were available in 79 of the 82 centers (96%; range 6-220 units); plasma, 62 centers (76%, range 1-100 units); platelets, 40 centers (49%, range 1-8 units); cryoprecipitate, 45 centers (55%, range 1-20 units). Whole blood was only available at the Level I center. Three Level V centers, located in 2 of the 8 WA state trauma regions, reported no routine blood availability. The two trauma regions affected represent 12% of the state's population and more than a third of its geographic area.

CONCLUSIONS

Within the WA regional trauma system, blood products are wide, if unevenly, available. Large urban/rural disparities in availability exist that should be explored.

25-Year experience with adult polytraumatized patients in a European level 1 trauma center: polytrauma between 1995 and 2019. What has changed? A retrospective cohort study

PURPOSE

To analyze the changes of the clinical characteristics, injury patterns, and mortality rates of polytraumatized patients within the past 25 years in a European Level I trauma center.

METHODS

953 consecutive polytraumatized patients treated at a single-level 1 trauma center between January 1995 and December 2019 were enrolled retrospectively. Polytrauma was defined as AIS ≥ 3 points in at least two different body regions. Retrospective data analysis on changes of clinical characteristics and mortality rates over time.

RESULTS

A significant increase of the average age by 2 years per year of the study could be seen with a significant increase of geriatric patients over time. No changes of the median Injury Severity Score (ISS) could be seen over time, whereas the ISS significantly decreased by patient's year. The rates of concomitant severe traumatic brain injury (TBI) remained constant over time, and did not increase with rising age of the patients. Although, the mortality rate remained constant over time the relative risk of overall in-hospital mortality increased by 1.7% and the relative risk of late-phase mortality increased by 2.2% per patient's year.

CONCLUSION

The number of polytraumatized patients remained constant over the 25-year study period. Also, the mortality rates remained stable over time, although a significant increase of the average age of polytraumatized patients could be seen with stable injury severity scores. Severe TBI and age beyond 65 years remained independent prognostic factors on the late-phase survival of polytraumatized patients.

TRIAL REGISTRATION

NCT04723992.

LEVEL OF EVIDENCE

Prognostic study, level III.

Epidemiology of trauma in the subarctic regions of the Nordic countries

BACKGROUND

The northern regions of the Nordic countries have common challenges of sparsely populated areas, long distances, and an arctic climate. The aim of this study was to compare the cause and rate of fatal injuries in the northernmost area of the Nordic countries over a 5-year period.

METHODS

In this retrospective cohort, we used the Cause of Death Registries to collate all deaths from 2007 to 2011 due to an external cause of death. The study area was the three northernmost counties in Norway, the four northernmost counties in Finland and Sweden, and the whole of Iceland.

RESULTS

A total of 4308 deaths were included in the analysis. Low energy trauma comprised 24% of deaths and high energy trauma 76% of deaths. Northern Finland had the highest incidence of both high and low energy trauma deaths. Iceland had the lowest incidence of high and low energy trauma deaths. Iceland had the lowest prehospital share of deaths (74%) and the lowest incidence of injuries leading to death in a rural location. The incidence rates for high energy trauma death were 36.1/100000/year in Northern Finland, 15.6/100000/year in Iceland, 27.0/100000/year in Northern Norway, and 23.0/100000/year in Northern Sweden.

CONCLUSION

We found unexpected differences in the epidemiology of trauma death between the countries. The differences suggest that a comparison of the trauma care systems and preventive strategies in the four countries is required.

Blood component use and injury characteristics of acute trauma patients arriving from the scene of injury or as transfers to a large, mature US Level 1 trauma center serving a large, geographically diverse region

BACKGROUND

Advanced trauma care demands the timely availability of hemostatic blood products, posing special challenges for regional systems in geographically diverse areas. We describe acute trauma blood use by transfer status and injury characteristics at a large regional Level 1 trauma center.

STUDY DESIGN AND METHODS

We reviewed Harborview Medical Center (HMC) Trauma Registry, Transfusion Service, and electronic medical records on acute trauma patients for demographics, injury patterns, blood use, and in-hospital mortality, 2011-2019.

RESULTS

Among 47,471 patients (mean age 45.2 ± 23.0 years; 68.3% male; Injury Severity Score 12.6 ± 11.1), 4.7% died and 8547 (18%) received at least one blood component through HMC. Firearms injuries were the most often transfused (690/2596, 26.6%) and the most urgently (39.9% ≥3 units in <1 h; 40.6% ≥5 units in <4 h), and had the highest mortality (case-fatality, 12.2%) (all p < .001). From-scene patients were younger than transfers (42.9 ± 21.0 vs. 47.2 ± 24.4), predominated among firearms injuries (68.2% from-scene vs. 31.8% transfers), were more likely to receive blood (18.5% vs. 17.6%) more urgently (≥3 units first hour, 24.4% vs. 7.7%; ≥5 units first 4 h: 25.6% vs. 8.2%), were more likely to die of hemorrhage (15.5% vs. 4.3%) and from firearms injuries (310/1360, 22.8%) (all p < .001).

DISCUSSION

Early blood use, firearms injuries, and mortality were all greater among from-scene patients, and firearms injuries had worse outcomes despite greater and more urgent blood use, but the role of survivor bias for transfer patients must be clarified. Future research must identify strategies for providing local hemostatic transfusion support, particularly for firearms injuries.

Geographical risk of fatal and non-fatal injuries among adults in Norway

INTRODUCTION

A rural gradient in trauma mortality disfavoring remote inhabitants is well known. Previous studies have shown higher risk of traumatic deaths in rural areas in Norway, combined with a paradoxically decreased prevalence of non-fatal injuries. We investigated the risk of fatal and severe non-fatal injuries among all adults in Norway during 2002-2016.

METHODS

All traumatic injuries and deaths among persons with a residential address in Norway from 2002-2016 were included. Data were collected from the Norwegian National Cause of Death Registry and the Norwegian Patient Registry. All cases were stratified into six groups of centrality based on Statistics Norway's classification system, from most urban (group one) to least urban/most rural (group six). Mortality and injury rates were calculated per 100,000 inhabitants per year.

RESULTS

The mortality rate differed significantly among the centrality groups (p<0.05). The rate was 64.2 per 100,000 inhabitants/year in the most urban group and 78.6 per 100,000 inhabitants/year in the most rural group. The lowest mortality rate was found in centrality group 2 (57.9 per 100,000 inhabitants/year). For centrality group 6 versus group 2, the risk of death was increased (relative risk, 1.36; 95%CI: 1.11-1.66; p<0.01). The most common causes of death were transport injury, self-harm, falls, and other external causes. The steepest urban-rural gradient was seen for transport injuries, with a relative risk of 3.32 (95%CI: 1.81-6.10; p<0.001) for group 6 compared with group 1. There was a significantly increasing risk for severe non-fatal injuries from urban to rural areas. Group 2 had the lowest risk for non-fatal injuries (1531 per 100,000 inhabitants/year) and group 6 the highest (1803 per 100,000 inhabitants/year). The risk for non-fatal injuries increased with increasing rurality, with a relative risk of 1.07 (95%CI: 1.02-1.11; p<0.01) for group 6 versus group 1.

CONCLUSIONS

Fatal and non-fatal injury risks increased in parallel with increasing rurality. The lowest risk was in the second most urban region, followed by the most urban (capital) region, yielding a J-shaped risk curve. Transport injuries had the steepest urban-rural gradient.

Cardiovascular and liver disease among pre-hospital trauma deaths: A review of autopsy findings

Introduction

Pre-existing disease is a common contributor to mortality and morbidity after injury and resuscitation of injured patients are often altered in hospital based on comorbidities. However, this is uncommon in the pre-hospital phase of care where patients are managed according to clinical practice guidelines. This study aimed to quantify the prevalence of cardiovascular disease (CVD) and liver disease among trauma patients attended by pre-hospital clinicians but who died prior to reaching hospital and assess associations with age.

Methods

This was a retrospective review of pre-hospital trauma deaths in the state of Victoria, Australia between 01 Jan 2008 and 31 Dec 2014. The inclusion criteria were (a) patients attended by pre-hospital clinicians, (b) deceased before arrival to hospital, (c) evidence of recent trauma and (d) underwent a full autopsy. Cardiovascular and liver disease status were extracted from autopsy reports.

Results

There were 1043 patients included in this study. Most patients were male (77.1%). Intentional self-harm was significantly more common in patients aged ≥65 years (17.4%). CVD was prevalent in 495 (47.5%; 95%CI: 44.4–50.5) cases with myocardial fibrosis the most common abnormality detected. All sub-groups of CVD demonstrated a significant association with increasing age, except right ventricular hypertrophy. Liver disease was present in 235 (22.5%; 95%CI: 20.1-25.2) patients and most common among patients aged 35–64 years.

Discussion

CVD was prevalent in almost half of all injured patients included in this study while liver disease was present in about a fifth. The prevalence of CVD was associated with increasing age, while liver disease was more common among middle-aged patients. This high prevalence in our population indicates that pre-existing cardiovascular and liver disease be considered when tailoring pre-hospital life-saving interventions for injured patients.

Dispatch, Prehospital time, Interventions and Outcomes in a Norwegian Trauma population – assessing initial trauma management in urban and rural areas. The DIONT-project: a national registry-based research protocol (Preprint)

Background

Time is considered an essential determinant in the initial care of trauma patients. In Norway, response time (ie, time from dispatch center call to ambulance arrival at scene) is a controversial national quality indicator. However, no national requirements for response times have been established. There is an ongoing debate regarding the optimal configuration of the Norwegian trauma system. The recent centralization of trauma services and closure of emergency hospitals have increased prehospital transport distances, predominantly for rural trauma patients. However, the impact of trauma system configuration on early trauma management in urban and rural areas is inadequately described.

Objective

The project will assess injured patients’ initial pathways through the trauma system and explore differences between central and rural areas in a Norwegian trauma cohort. This field is unexplored at the national level, and existing evidence for an optimal organization of trauma care is still inconclusive regarding the impact of prehospital time.

Methods

Three quantitative registry-based retrospective cohort studies are planned. The studies are based on data from the Norwegian Trauma Registry (NTR; studies 1, 2, and 3) and the local Emergency Medical Communications Center (study 2). All injured patients admitted to a Norwegian hospital and registered in the NTR in the period between January 1, 2015, and December 31, 2020, will be included in the analysis. Trauma registry data will be analyzed using descriptive and relevant statistical methods to compare prehospital time in rural and central areas, including regression analyses and adjusting for confounders.

Results

The project received funding in fall 2020 and was approved by the Oslo University Hospital data protection officer, case number 18/02592. Registry data including approximately 40,000 trauma patients will be extracted during the first quarter of 2022, and analysis will begin immediately thereafter. Results are expected to be ready for publication from the third quarter of 2022.

Conclusions

Findings from the study will contribute to new knowledge regarding existing quality indicators and with an increasing centralization of hospitals and residents, the study will contribute to further development of the Norwegian trauma system. A high generalizability to other trauma systems is expected, given the similarities between demographical changes and trauma systems in many high-income countries.

International Registered Report Identifier (IRRID)

PRR1-10.2196/30656

Emergency Medical Services (EMS) Transportation of Trauma Patients by Geographic Locations and In-Hospital Outcomes: Experience from Qatar

Background: Prehospital care provided by emergency medical services (EMS) plays an important role in improving patient outcomes. Globally, prehospital care varies across countries and even within the same country by the geographic location and access to medical services. We aimed to explore the prehospital trauma care and in-hospital outcomes within the urban and rural areas in the state of Qatar. Methods: A retrospective analysis was conducted utilizing data from the Qatar National Trauma Registry for trauma patients who were transported by EMS to a level 1 trauma center between 2017 and 2018. Data were analyzed and compared between urban and rural areas and among the different municipalities in which the incidents occurred. Results: Across the study duration, 1761 patients were transported by EMS. Of that, 59% were transported from an urban area and 41% from rural areas. There were significant differences in the on-scene time and total prehospital time as a function of urban and rural areas and municipalities; however, the response time across the study groups was comparable. There were no significant differences in blood transfusion, intubation, hospital length of stay, and mortality. Conclusion: Within different areas in Qatar, the EMS response time and in-hospital outcomes were comparable. This indicates that the provision of prehospital care across the country is similar. The prehospital and acute in-hospital care are accessible for everyone in the country at no cost. Understanding the differences in EMS utilization and prehospital times contributes to the policy development in terms of equitable distribution of healthcare resources.

Open data and injuries in urban areas-A spatial analytical framework of Toronto using machine learning and spatial regressions

Injuries have become devastating and often under-recognized public health concerns. In Canada, injuries are the leading cause of potential years of life lost before the age of 65. The geographical patterns of injury, however, are evident both over space and time, suggesting the possibility of spatial optimization of policies at the neighborhood scale to mitigate injury risk, foster prevention, and control within metropolitan regions. In this paper, Canada’s National Ambulatory Care Reporting System is used to assess unintentional and intentional injuries for Toronto between 2004 and 2010, exploring the spatial relations of injury throughout the city, together with Wellbeing Toronto data. Corroborating with these findings, spatial autocorrelations at global and local levels are performed for the reported over 1.7 million injuries. The sub-categorization for Toronto’s neighborhood further distills the most vulnerable communities throughout the city, registering a robust spatial profile throughout. Individual neighborhoods pave the need for distinct policy profiles for injury prevention. This brings one of the main novelties of this contribution. A comparison of the three regression models is carried out. The findings suggest that the performance of spatial regression models is significantly stronger, showing evidence that spatial regressions should be used for injury research. Wellbeing Toronto data performs reasonably well in assessing unintentional injuries, morbidity, and falls. Less so to understand the dynamics of intentional injuries. The results enable a framework to allow tailor-made injury prevention initiatives at the neighborhood level as a vital source for planning and participatory decision making in the medical field in developed cities such as Toronto.

Epidemiology of geriatric trauma patients in Norway: A nationwide analysis of Norwegian Trauma Registry data, 2015-2018. A retrospective cohort study

INTRODUCTION

Geriatric patients have a high risk of poor outcomes after trauma and is a rapid-increasing group within the trauma population. Given the need to ensure that the trauma system is targeted, efficient, accessible, safe and responsive to all age groups the aim of the present study was to explore the epidemiology and characteristics of the Norwegian geriatric trauma population and assess differences between age groups within a national trauma system.

MATERIALS AND METHODS

This retrospective analysis is based on data from the Norwegian Trauma Registry (2015-2018). Injury severity was scaled using the Abbreviated Injury Scale (AIS), and the New Injury Severity Score (NISS). Trauma patients 16 years or older with NISS ≥9 were included, dichotomized into age groups 16-64 years (Group 1, G1) and ≥65 years (Group 2, G2). The groups were compared with respect to differences in demographics, injury characteristics, management and outcome. Descriptive statistics and relevant parametric and non-parametric tests were used.

RESULTS

Geriatric patients proved to be at risk of sustaining severe injuries. Low-energy falls predominated in G2, and the AIS body regions 'Head' and 'Pelvis and lower extremities' were most frequently injured. Crude 30-day mortality was higher in G2 compared to G1 (G1: 2.9 vs. G2: 13.6%, P<0.01) and the trauma team activation (TTA) rate was lower (G1: 90 vs. G2: 73%, P<0.01). A lower proportion of geriatric patients were treated by a physician prehospitally (G1: 30 vs. G2: 18%, [NISS 15-24], P<0.01) and transported by air-ambulance (G1: 24 vs. G2: 14%, [NISS 15-24], P<0.01). Median time from alarm to hospital admission was longer for geriatric patients (G1: 71 vs. G2: 78 min [NISS 15-24], P<0.01), except for the most severely injured patients (NISS≥25).

CONCLUSION

In this nationwide study comparing adult and geriatric trauma patients, geriatric patients were found to have a higher mortality, receive less frequently advanced prehospital treatment and transportation, and a lower TTA rate. This is surprising in the setting of a Nordic country with free access to publicly funded emergency services, a nationally implemented trauma system with requirements to pre- and in-hospital services and a national trauma registry with high individual level coverage from all trauma-receiving hospitals. Further exploration and a deeper understanding of these differences is warranted.

Age and traumatic brain injury as prognostic factors for late-phase mortality in patients defined as polytrauma according to the New Berlin Definition: experiences from a level I trauma center

BACKGROUND

The rationale of this study was to identify independent prognostic factors influencing the late-phase survival of polytraumatized patients defined according to the New Berlin Definition.

METHODS

Retrospective data analysis on 173 consecutively polytraumatized patients treated at a level I trauma center between January 2012 and December 2015. Patients were classified into two groups: severely injured patients (ISS > 16) and polytraumatized patients (patients who met the diagnostic criteria for the New Berlin Definition).

RESULTS

Polytraumatized patients showed significantly lower late-phase and overall survival rates. The presence of traumatic brain injury (TBI) and age > 55 years had a significant influence on the late-phase survival in polytraumatized patients but not in severely injured patients. Despite the percentage of severe TBI being nearly identical in both groups, severe TBI was identified as main cause of death in polytraumatized patients. Furthermore, severe TBI remains the main cause of death in polytraumatized patients > 55 years of age, whereas younger polytraumatized patients (< 55 years of age) tend to die more often due to the acute trauma.

CONCLUSION

Our results suggest that age beyond 55 years and concomitant (severe) TBI remain as most important influencing risk factor for the late-phase survival of polytraumatized patients but not in severely injured patients.

LEVEL OF EVIDENCE

Prognostic study, level III.

Emergency trauma care in rural and remote settings: Challenges and patient outcomes

INTRODUCTION

Trauma is a global public health concern, with higher mortality rates acknowledged in rural and remote populations. Research to understand this phenomenon and to improve patient outcomes is therefore vital. Trauma systems have been developed to provide specialty care to patients in an attempt to improve mortality rates. However, not all trauma systems are created equally as distance and remoteness has a significant impact on the capabilities of the larger trauma systems that service vast geographical distances. The primary objective of this integrative literature review was to examine the challenges associated with providing emergency trauma care to rural and remote populations and the associated patient outcomes. The secondary objective was to explore strategies to improve trauma patient outcomes.

METHODS

An integrative review approach was used to inform the methods of this study. A systematic search of databases including CINAHL, Medline, EmBase, Proquest, Scopus, and Science Direct was undertaken. Other search methods included hand searching journal references.

RESULTS

2157 articles were identified for screening and 87 additional papers were located by hand searching. Of these, 49 were included in this review. Current evidence reveals that rural and remote populations face unique challenges in the provision of emergency trauma care such as large distances, delays transferring patients to definitive care, limited resources in rural settings, specific contextual challenges, population specific risk factors, weather and seasonal factors and the availability and skill of trained trauma care providers. Consequently, rural and remote populations often experience higher mortality rates in comparison to urban populations although this may be different for specific mechanisms of injury or population subsets. While an increased risk of death was associated with an increase in remoteness, research also found it costs substantially less to provide care to rural patients in their rural environment than their urban counterparts. Other factors found to influence mortality rates were severity of injury and differences in characteristics between rural and urban populations. Trauma systems vary around the world and must address local issues that may be affected by distance, geography, seasonal population variations, specific population risk factors, trauma network operationalisation, referral and retrieval and involvement of hospitals and services which have no trauma designation.

CONCLUSIONS

The challenges acknowledged for rural and remote trauma patients may be lessened and mortality rates improved by implementing strategies such as telemedicine, trauma training and the expansion of trauma systems that are responsive to local needs and resources. Additional research to determine which of these challenges has the most significant impact on health outcomes for rural patients is required in an effort to reduce existing discrepancies. Emphasis on embracing and expanding inclusive planning for complex trauma systems, as well as strategies aimed at understanding the issues rural and remote clinicians face, will also assist to achieve this.

Geospatial characteristics of non-motor vehicle and assault-related trauma events in greater Phoenix, Arizona

BACKGROUND

Injury-causing events are not randomly distributed across a landscape, but how they are associated with the features and characteristics of the places where they occur in Arizona (AZ) remains understudied. Clustering of trauma events and associations with areal sociodemographic characteristics in the greater Phoenix (PHX), AZ region can promote understanding and inform efforts to ameliorate a leading cause of death and disability for Arizonans. The outcomes of interest are trauma events unrelated to motor vehicle crashes (MVC) and the subgroup of trauma events due to interpersonal assaults.

METHODS

A retrospective, ecological study was performed incorporating data from state and national sources for the years 2013-2017. Geographically weighted regression models explored associations between the rates of non-MVC trauma events (n/10,000 population) and the subgroup of assaultive trauma events per 1000 and areal characteristics of socioeconomic deprivation (areal deprivation index [ADI]), the density of retail alcohol outlets for offsite consumption, while controlling for race/ethnicity, population density, and the percentage urban population.

RESULTS

The 63,451 non-MVC traumas within a 3761 mile2 study area encompassing PHX and 22 surrounding communities, an area with nearly 60% of the state's population and 54% of the trauma events in the AZ State Trauma Registry for the years 2013-2017. Adjusting for confounders, ADI was associated with the rates of non-MVC and assaultive traumas in all census block groups studied (mean coefficients 0.05 sd. 0.001 and 0.07 sd. 0.002 for non-MVC and assaultive trauma, respectively). Alcohol retail outlet density was also associated with non-MVC and assaultive traumas in fewer block groups compared to ADI.

CONCLUSION

Socioeconomic deprivation and alcohol outlet density were associated with injury producing events in the greater PHX area. These features persist in the environment before and after the traumas occur. Ongoing research is warranted to identify the most influential areal predictors of traumatic injury-causing events in the greater PHX area to inform and geographically target prevention initiatives.

Geo-temporal provision of pre-hospital emergency anaesthesia by UK Helicopter Emergency Medical Services: an observational cohort study

BACKGROUND

Pre-hospital emergency anaesthesia (PHEA) is frequently required for injured patients. National Institute for Health and Care Excellence (NICE) quality standards state that PHEA should be delivered within 45 min of an emergency call. We investigated whether there is geo-temporal variation in service provision to the UK population.

METHODS

We retrospectivly audited the time of day when PHEA is provided by UK Helicopter Emergency Medical Services (HEMS), by recording PHEA provision on a randomly selected week and weekend day in 2018. Pre-hospital emergency anaesthesia in the United Kingdom: an observational cohort study retrospectively assessed the time from emergency call to pre-hospital emergency anaesthesia delivery by HEMS during a 1 yr period from April 2017 to March 2018. The population coverage likely to receive pre-hospital emergency anaesthesia in accord with NICE guidelines was estimated by integrating population data with the median time to PHEA, hours of service provision, geographic location, and transport modality.

RESULTS

On a weekday 20 HEMS units (comprising from four to 31 enhanced care teams) were estimated to be able to meet NICE guidelines for delivery of PHEA to a poulation of 6.6-35.2 million individuals (at times of minimum and maximal staffing, respectively). At the weekend, 17 HEMS units (comprising from 5 to 28 enhanced care teams) were estimated to be able to meet NICE guidelines for PHEA deliveryto a population of 6.8-34.1 million individuals (minimum and maximal staffing, respectively).

CONCLUSIONS

There is marked geo-temporal variation in the ability of HEMS organisations to deliver pre-hospital emergency anaesthesia in the UK.

Epidemiology of penetrating injury in an urban versus rural level 1 trauma center in the Netherlands

Background:

Penetrating injury can encompass a large spectrum of injuries dependent on the penetrating object, the location of entry, and the trajectory of the object through the human body. Therefore, the management of penetrating injuries can be challenging and often requires rapid assessment and intervention. No universal definition of penetrating injury exists in the literature and little is known about the demographics and outcome of penetrating injury in the Netherlands.

Objective:

A research was carried out to ascertain the size and outcome of penetrating injuries in two level-one trauma centers in the Netherlands.

Methods:

Using the trauma registry of the Radboud University Medical Center in Nijmegen and VU University Medical Center in Amsterdam, all patients with penetrating injury were identified who were admitted to these level 1 trauma centers in the period between January 1, 2009, and January 1, 2014. Penetrating injury was defined as an injury that caused disruption of the body surface and extended into the underlying tissue or into a body cavity. Data concerning age, gender, mechanism of injury, Glasgow Coma Scale, number of injuries, type of injury, and Injury Severity Score were collected and analyzed. Patient results were stratified by Injury Severity Score.

Results:

In total, 354 patients were identified, making up around 2% of all admitted trauma patients 3.1% (VU Medical Center) and 1.6% (Radboud Medical Center). Patients were overwhelmingly male (83.1%) and median age was 36 years (range = 1–88 years). Most injuries were caused by stabbings (51.1%) followed by shootings (26.3%). Admission to the intensive care unit occurred in 41.1% of all patients. Median stay in the intensive care unit was 5.1 days (range = 1–96 days) and median total hospital stay was 8 days (range = 1–95 days). Mortality among these patients was 7.1%, ranging from 0% among patients with Injury Severity Score 1–8 to 100% in patients with Injury Severity Score > 34. High mortality figures were associated with injuries caused by firearms (19.4%), injuries to the head (27.9%), and alleged assaults (10.9%). Differences in demographics between the two centers were not significant.

Conclusion:

Penetrating injury is a relative rare occurrence in the Netherlands compared with other countries. It is associated with high mortality and substantial hospital costs. The incidence of penetrating injuries is higher in metropolitan areas than in rural areas. A universal definition of penetrating trauma should be agreed upon in order to ensure that future studies remain free of bias, and also to ensure that data remain homogeneous.

The relationship between geographic location and outcomes following injury: A scoping review

INTRODUCTION

Globally, injury incidence and injury-fatality rates are higher in regional and remote areas. Recovery following serious injury is complex and requires a multi-disciplinary approach to management and community re-integration to optimise outcomes. A significant knowledge gap exists in understanding the regional variations in hospital and post-discharge outcomes following serious injury. The aim of this study was to review the evidence exploring the association between the geographic location, including both location of the event and place of residence, and outcomes following injury.

MATERIALS AND METHODS

A scoping review was used to investigate this topic and provide insight into geographic variation in outcomes following traumatic injury. Seven electronic databases and reference lists of relevant articles were searched from inception to October 2018. Studies were included if they measured injury-related mortality, outcomes associated with hospital admission, post-injury physical or psychological function and analysed these outcomes in relation to geographic location.

RESULTS

Of the 2,213 studies identified, 47 studies were included revealing three key groups of outcomes: mortality (n = 35), other in-hospital outcomes (n = 8); and recovery-focused outcomes (n = 12). A variety of measures were used to classify rurality across studies with inconsistent definitions of rurality/remoteness. Of the studies reporting injury-related mortality, findings suggest that there is a greater risk of fatality in rural areas overall and in the pre-hospital phase. For those patients that survived to hospital, the majority of studies included identified no difference in mortality between rural and urban patient groups. In the small number of studies that reported other in-hospital and recovery outcomes no consistent trends were identified.

CONCLUSION

Rural patients had a higher overall and pre-hospital mortality following injury. However, once admitted to hospital, there was no significant difference in mortality. Inconsistencies were noted across measures of rurality measures highlighting the need for more specific and consistent international classification methods. Given the paucity of data on the impact of geography on non-mortality outcomes, there is a clear need to develop a larger evidence base on regional variation in recovery following injury to inform the optimisation of post-discharge care services.

Increased risk of fatal paediatric injuries in rural Northern Norway

Background

Finnmark, Northern Norway, had a mortality rate for paediatric injury in 1998‐2007 that was more than twice the national average. We investigated whether this rate had decreased in 2008‐2015 after improvements in emergency care. We also compared the mortality rate to rates of non‐fatal injury and trauma team activation both regionally and in Norway.

Methods

The study was based on 4 national registries. Mortality and injury rates were calculated per 100 000 persons per year. The study population was divided into age groups; 0‐5, 6‐10, 11‐15 and 16‐17 years.

Results

Between 1998‐2007 and 2008‐2015 there was an overall decrease in paediatric mortality rate due to external causes in Norway in total from 7.1 to 4.0. Despite this, in 2008‐2015, the mortality rate remained 2.5 times higher in Finnmark than in Norway (9.7, RR = 2.5 CI 1.4‐4.3, P = 0.001), similar to findings for 1998‐2007. Finnmark had half the rate of non‐fatal injuries in 1999‐2007 (5052, RR = 0.6, 95% CI 0.6‐0.7, P < 0.001) and in 2008‐2015 (3893, RR = 0.5, 95% CI 0.5‐0.6, P < 0.001) as in Norway. The rate of trauma team activation was similar in Finnmark and Norway.

Conclusions

The risk of injury‐related death remained significantly higher, while the overall risk of non‐fatal injury was significantly reduced for children in rural Northern Norway. Thus, injuries in this rural area seem to be less frequent but more severe. There is a need for detailed examination of each death to determine possible preventive measures.

Epidemiology of paediatric trauma in Norway: a single-trauma centre observational study

Background

Trauma is a major cause of mortality and morbidity in children globally. The burden of injury shows substantial geographical differences, with a significant mortality reduction in children in Norway during the last four decades. The aim was to describe the current epidemiology, resource use and outcome for all potential severely injured paediatric patients admitted to a Norwegian trauma centre.

Methods

This was a single-centre retrospective observational study. All patients aged 0–17 years received by a trauma team between 01 January 2004 and 31 December 2016 (13 years) at St. Olav’s University Hospital were included. Severe injury was defined as Injury Severity Score > 15.

Results

A total of 873 patients were included, of which 536 (61%) were male. The median age was 13 years (IQR 7–16). Six per cent (n = 52) of the patients were transferred from other hospitals. Blunt trauma constituted 98%, with traffic (n = 532/61%) and falls (n = 233/27%) as the most common mechanisms. Eight patients (1%) died within 30 days of hospital admission. Fifteen per cent (n = 128) were severely injured. Among the patients transferred from another hospital, 46% (n = 24) had severe injuries. Helicopter Emergency Medical Services (HEMS) were more used in younger age groups and in patients more severely injured.

Conclusions

In a developed healthcare system, the number of potentially severely injured children is small and with very few deaths following trauma. Transport and falls represent the most common causes of injury throughout all age groups, though with a tendency towards more transport-related injuries with increasing age. In-hospital trauma care is characterized by a low threshold for a multidisciplinary reception, low use of intensive care and need for emergency surgical procedures, though with increased need in the older children.

Electronic supplementary material

The online version of this article (10.1186/s12245-019-0236-9) contains supplementary material, which is available to authorized users.

Incidence of post-traumatic pneumonia in poly-traumatized patients: identifying the role of traumatic brain injury and chest trauma

Purpose

Traumatic brain injury (TBI) and chest trauma are common injuries in severely injured patients. Both entities are well known to be associated with severe post-traumatic complications, including pneumonia, a common complication with a significant impact on the further clinical course. However, the relevance of TBI, chest trauma and particularly their combination as risk factors for the development of pneumonia and its impact on outcomes are not fully elucidated.

Methods

A retrospective analysis of poly-traumatized patients treated between 2010 and 2015 at a level I trauma centre was performed. Inclusion criteria were: Injury Severity Score ≥ 16 and age ≥ 18 years. TBI and chest trauma were classified according to the Abbreviated Injury Scale. Complications (i.e. acute respiratory distress syndrome (ARDS), multi-organ dysfunction syndrome (MODS) and pneumonia) were documented by a review of the medical records. The primary outcome parameter was in-hospital mortality.

Results

Over the clinical course, 19.9% of all patients developed pneumonia, and in-hospital mortality was 25.3%. Pneumonia (OR 5.142, p = 0.001) represented the strongest independent predictor of in-hospital mortality, followed by the combination of chest injury and TBI (OR 3.784, p = 0.008) and TBI (OR 3.028, p = 0.010). Chest injury alone, the combination of chest injury and TBI, and duration of ventilation were independent predictors of pneumonia [resp. OR 4.711 (p = 0.004), OR 4.193 (p = 0.004), OR 1.002 (p < 0.001)].

Conclusions

Chest trauma alone and especially its combination with TBI represent high-risk injury patterns for the development of pneumonia, which forms the strongest predictor of mortality in poly-traumatized patients.

Interpersonal violence in peacetime Malawi

BACKGROUND

The contribution of interpersonal violence (IPV) to trauma burden varies greatly by region. The high rates of IPV in sub-Saharan Africa are thought to relate in part to the high rates of collective violence. Malawi, a country with no history of internal collective violence, provides an excellent setting to evaluate whether collective violence drives the high rates of IPV in this region.

METHODS

This is a retrospective review of a prospective trauma registry from 2009 through 2016 at Kamuzu Central Hospital in Lilongwe, Malawi. Adult (>16 years) victims of IPV were compared with non-intentional trauma victims. Log binomial regression determined factors associated with increased risk of mortality for victims of IPV.

RESULTS

Of 72 488 trauma patients, 25 008 (34.5%) suffered IPV. Victims of IPV were more often male (80.2% vs. 74.8%; p<0.001), younger (median age: 28 years (IQR: 23-34) vs. 30 years (IQR: 24-39); p<0.001), and were more often admitted at night (47.4% vs. 31.9%; p<0.001). Of the IPV victims, 16.5% admitted alcohol use, compared with only 4.4% in other trauma victims (p<0.001). In regression modeling, compared with extremity injuries, head injuries (3.14, 2.24-4.39; p<0.001) and torso injuries (4.32, 2.98-6.27; p<0.001) had increased risk of mortality. Compared with other or unknown mechanisms, penetrating injuries also had increased risk of mortality (1.46, 95% CI 1.17 to 1.81, p=0.001). Alcohol use was associated with a lower risk of mortality (0.54, 95% CI 0.39 to 0.75; p<0.001).

DISCUSSION

Even in a sub-Saharan country that never experienced internal collective violence, IPV injury rates are high. Public health efforts to measure and address alcohol use, and studies to determine the role of "mob justice," poverty, and intimate partner violence in IPV, in Malawi are needed.

LEVEL OF EVIDENCE

Level III.

Influence of trauma origin site on admission rates of patients submitted to emergency laparotomy

OBJECTIVE

to evaluate the influence of the site of trauma occurrence on the trauma scores of patients submitted to emergency laparotomy.

METHODS

this is a retrospective, observational, analytical study. We included 212 patients who underwent exploratory laparotomies in the period of January 2015 and December 2017. We obtained information about the accident site and vital data of the patients based on data collection through electronic and physical records. We analyzed the trauma indices of patients from Curitiba and its Metropolitan Region and the place where the patient was rescued (physical establishment or public road).

RESULTS

among the 212 patients studied, 184 (86.7%) were brought by the Prehospital Care Service from the city of Curitiba, and 28 (13.3%), from the Metropolitan Region of Curitiba. Twenty-five patients (17.6%) were rescued in physical establishments, while 117 (82.4%) were rescued on public roads. We observed higher values ​​of Injurity Severity Scores (ISS) in patients coming from the Metropolitan Region than in those coming from Curitiba (29.78 vs 22.46, P=0.009), but higher values ​​of Trauma and Injury Severity Scores (TRISS) in patients from Curitiba than the ones from the Metropolitan Region (90.62 vs 81.30, P=0.015). Patients rescued in public roads presented lower Revised Trauma Scores (RTS) (6.96 vs 7.65, P=0.024) and TRISS (86.42 vs 97.21; P=0.012).

CONCLUSION

trauma victims from sites more distant from the referral center and rescued on public roads presented worse prognosis.

Elevated Serum Protein S100B and Neuron Specific Enolase Values as Predictors of Early Neurological Outcome After Traumatic Brain Injury

BACKGROUND

The objective of our study was to determine the serum concentrations of protein S100B and neuron specific enolase (NSE) as well as their ability and accuracy in the prediction of early neurological outcome after a traumatic brain injury.

METHODS

A total of 130 polytraumatized patients with the associated traumatic brain injuries were included in this prospective cohort study. Serum protein S100B and NSE levels were measured at 6, 24, 48 and 72 hours after the injury. Early neurological outcome was scored by Glasgow Outcome Scale (GOS) on day 14 after the brain injury.

RESULTS

The protein S100B concentrations were maximal at 6 hours after the injury, which was followed by an abrupt fall, and subsequently slower release in the following two days with continual and significantly increased values (p<0.0001) in patients with poor outcome. Secondary increase in protein S100B at 72 hours was recorded in patients with lethal outcome (GOS 1). Dynamics of NSE changes was characterized by a secondary increase in concentrations at 72 hours after the injury in patients with poor outcome.

CONCLUSION

Both markers have good predictive ability for poor neurological outcome, although NSE provides better discriminative potential at 72 hours after the brain injury, while protein S100B has better discriminative potential for mortality prediction.

Fatal poisonings in Northern Finland: causes, incidence, and rural-urban differences

Background

In this study we evaluate differences between rural and urban areas in the causes and incidence of fatal poisonings.

Methods

Data from all fatal poisonings that occurred in Northern Finland from 2007 to 2011 were retrieved from Cause of Death Registry death certificates provided by Statistics Finland. The demographics and causes of fatalities were compared between rural and urban areas. Incidences were calculated based on the population data.

Results

There were a total of 684 fatal poisonings during the study period and 57.9% (n = 396) occurred in the urban population. Ethanol was the most common primary poisoning agent in cases of fatal poisoning, accounting for 47.5% of cases in urban areas and 68.1% in rural areas (P < 0.001). Fatal poisonings caused by psychoactive pharmaceutical products and opioids were more common in urban areas (28.3% compared to 18.0%, P < 0.001).

The crude incidence of fatal poisonings in the study area was 18.8 (17.4–20.2) per 100,000 inhabitants per year and there was no difference in incidence between urban and rural areas. In the youngest age group (15 to 24 years), the incidence of fatal poisonings observed in urban areas was two times higher than that in rural areas.

Discussion

Higher rate of fatal ethanol poisonings in rural areas could be linked to higher alcohol consumption in rural areas and also differences in drinking behaviour. Higher incidence of poisoning suicides in urban areas could be due to availability of different toxic agents as a suicidal method. Preventive measures could be key in reducing the number of fatal poisonings in both areas, as most of the fatal poisonings still occur outside hospital.

Conclusion

There was a higher rate of fatal ethanol poisoning in rural areas and higher rate of fatal poisoning related to psychoactive pharmaceutical products and opioids in urban areas. There were twice as many fatal poisonings in the youngest age group (15–24 years) in urban areas compared to rural areas, and suicide was more common in urban areas.

Deaths caused by injury among people of working age (18-64) are decreasing, while those among older people (64+) are increasing

Background

Injury is an important cause of death in all age groups worldwide, and contributes to many losses of human and economic resources. Currently, we know a few data about mortality from injury, particularly among the working population. The aim of the present study was to examine death from injury over a period of 14 years (1999–2012) using the Swedish Cause of Death Registry (CDR) and the National Patient Registry, which have complete national coverage.

Method

CDR was used to identify injury-related deaths among adults (18 years or over) during the years 1999–2012. ICD-10 diagnoses from V01 to X39 were included. The significance of changes over time was analyzed by linear regression.

Results

The incidence of prehospital death decreased significantly (coefficient −0.22, r² = 0.30; p = 0.041) during the study period, while that of deaths in hospital increased significantly (coefficient 0.20, r² = 0.75; p < 0.001). Mortality/100,000 person-years in the working age group (18–64 years) decreased significantly (coefficient −0.40, r² = 0.37; p = 0.020), mainly as a result of decrease in traffic-related deaths (coefficient −0.34, r² = 0.85; p < 0.001). The incidence of deaths from injury among elderly (65 years and older) patients increased because of the increase in falls (coefficient 1.71, r² = 0.84; p < 0.001) and poisoning (coefficient 0.13, r² = 0.69; p < 0.001).

Conclusion

The epidemiology of injury in Sweden has changed during recent years in that mortality from injury has declined in the working age group and increased among those people 64 years old and over.

Trauma care in a combined rural and urban region: an observational study

BACKGROUND

The available information on trauma care in mixed rural-urban areas with scattered populations is limited. The aim of this study is to describe epidemiology, resource use, transfers and outcomes for trauma care within such an area, prior to implementation of a formal trauma system.

METHODS

A multicentre observational study including potential severely injured patients from June 2007 to May 2010. All patients received by trauma teams at seven acute care hospitals (ACH) and one major trauma centre (MTC) were included. Major trauma was defined as Injury Severity Score (ISS) > 15.

RESULTS

A total of 2323 patients were included. ACH received 1330 patients and delivered definite care to 85% of these. Only 329 (14%) patients were major trauma of which 134 (41%) were initially received at an ACH. Nine per cent of patients were transferred between hospitals. After inter-hospital transfers, 79% of all major trauma patients received definite care at the MTC. Helicopter emergency services admitted 52% of major trauma and performed 68% of inter-hospital transfers from ACH to MTC. Forty-eight patients (2%) died within 30 days.

CONCLUSION

In a region with a dispersed network of hospitals, geographical challenges, and low rate of major trauma cases, efforts should be made to identify patients with major trauma for treatment at a MTC as early as possible. This can be done by implementing triage and transfer guidelines, maintaining competence at ACHs for initial stabilization, and sustaining an organization for effective inter-facility transfers.

Pediatric TBI in Finland: An examination of hospital discharges (1998-2012)

BACKGROUND

Traumatic brain injury constitutes a persistent health problem among pediatric populations worldwide and is often referred to as a silent epidemic. There remains a paucity of scientific exploration with regard to understanding the ecological risk profiles of well-defined populations. In Finland, the healthcare system covers all hospitals, provides uniform access to care and has a universal surveillance system that allows for epidemiological examination of a wide variety of health issues. The present study aims to clarify the incidence, type and geographical presentation of pediatric TBI in Finland.

METHODS

We utilized the National Hospital Discharge Register (NHDR) to prospectively identify all new cases of TBI among persons aged 18 years or younger between 1998 and 2012. Incidence rates were computed as average annual rates per 100,000 person years (py).

RESULTS

During the study period 1998-2012, 21,457 children and adolescents were hospitalized for TBI. The cumulative incidence rate for the entire period was 99/100,000. Males were approximatively 1.5 times more likely to have sustained a TBI and had consistently higher rates during each year under study. Concussions were the most common form of TBI (92.9/100,000 person years), with diffuse brain injuries being the second most common (8.7/100,000 py). Diagnostic trends differed markedly with southern Finland experiencing the lowest rates of TBI when adjusted for population size.

CONCLUSIONS

TBI are serious and potentially disabling conditions. The elevated levels of pediatric TBI in Finland warrant increased attention.

Racial/Ethnic Disparities in Rates of Traumatic Injury in Arizona, 2011-2012

OBJECTIVE

The purpose of this study was to compare the rates of traumatic injury among five racial/ethnic groups in Arizona and to identify which mechanisms and intents of traumatic injury were predominant in each group.

METHODS

We obtained 2011 and 2012 data on traumatic injury from Arizona's trauma registry and data on mortality from Arizona's death registry. We calculated location- and age-adjusted rates (aRs) of traumatic injury and rates of mortality per 100,000 Arizona residents and rate ratios (RRs) for each racial/ethnic group. We also calculated race/ethnicity specific aRs and RRs by mechanism of injury, intent of injury, and alcohol use.

RESULTS

We analyzed data on 58,034 cases of traumatic injury. After adjusting for age and location, American Indians/Alaska Natives (AI/ANs) had the highest overall rate of traumatic injury (n = 6,287; aR = 729) and Asian Americans/Pacific Islanders had the lowest overall rate of traumatic injury (n = 553; aR = 141). By intent, AI/ANs had the highest rate of homicide/assault-related traumatic injury (n = 2,170; aR = 221) and by mechanism, non-Hispanic black/African American people had the highest rate of firearm-related traumatic injury (n = 265; aR = 40). In 2011-2012, 8,868 deaths in Arizona were related to traumatic injury. AI/ANs had the highest adjusted mortality rate (n = 716; aR = 95).

CONCLUSION

Racial/ethnic disparities in traumatic injuries persisted after adjusting for age and injury location. Understanding how these disparities differ by mechanism, intent, and alcohol use may lead to the development of more effective initiatives to prevent traumatic injury.

Traumatic brain injury patient volume and mortality in neurosurgical intensive care units: a Finnish nationwide study

Background

Differences in outcomes after traumatic brain injury (TBI) between neurosurgical centers exist, although the reasons for this are not clear. Thus, our aim was to assess the association between the annual volume of TBI patients and mortality in neurosurgical intensive care units (NICUs).

Methods

We collected data on all patients treated in the five Finnish university hospitals to examine all patients with TBI treated in NICUs in Finland from 2009 to 2012. We used a random effect logistic regression model to adjust for important prognostic factors to assess the independent effect of ICU volume on 6-month mortality. Subgroup analyses were performed for patients with severe TBI, moderate-to-severe TBI, and those who were undergoing mechanical ventilation or intracranial pressure monitoring.

Results

Altogether 2,328 TBI patients were treated during the study period in five NICUs. The annual TBI patient volume ranged from 61 to 206 patients between the NICUs. Univariate analysis, showed no association between the NICUs’ annual TBI patient volume and 6-month mortality (p = 0.063). The random effect model showed no independent association between the NICUs’ annual TBI patient volume and 6-month mortality (OR = 1.000, 95% CI = 0.996–1.004, p = 0.876). None of the pre-defined subgroup analyses indicated any association between NICU volume and patient mortality (p > 0.05 for all).

Discussion and Conclusion

We did not find any association between annual TBI patient volume and 6-month mortality in NICUs. These findings should be interpreted taking into account that we only included NICUs, which by international standards all treated high volumes of TBI patients, and that we were not able to study the effect of NICU volume on neurological outcome.

Electronic supplementary material

The online version of this article (doi:10.1186/s13049-016-0320-6) contains supplementary material, which is available to authorized users.

Twenty-Eight-Day Mortality of Blunt Traumatic Brain Injury and Co-Injuries Requiring Mechanical Ventilation

OBJECTIVE

This paper aims to assess the impact of co-injuries and consequent emergency surgical interventions and nosocomial pneumonia on the 28-day mortality of patients with severe traumatic brain injuries (TBIs).

SUBJECTS AND METHODS

One hundred and seventy-seven patients with TBI admitted to the emergency trauma intensive care unit at the Clinical Center of Serbia for more than 48 h were studied over a 1-year period. On admission, the Glasgow Coma Scale (GCS), Injury Severity Score (ISS) and Acute Physiology and Chronic Health Evaluation II score (APACHE II) were calculated. At admission, an isolated TBI was recorded in 45 of the patients, while 44 had three or more co-injuries.

RESULTS

Of the 177 patients, 78 (44.1%) died by the end of the 28-day follow-up period. They had a significantly higher ISS score (25 vs. 20; p = 0.024) and more severe head (p = 0.034) and chest (p = 0.013) injuries compared to those who survived. Nonsurvivors had spent more days on mechanical ventilation (9.5 vs. 8; p = 0.041) and had a significantly higher incidence of ventilator-associated pneumonia (VAP) than survivors (67.9 vs. 40.4%; p < 0.001). A high Rotterdam CT score (OR 2.062; p < 0.001) and a high APACHE II score (OR 1.219; p < 0.001) were identified as independent predictors of early TBI-related mortality.

CONCLUSION

Patients who had TBI with a high Rotterdam score and a high APACHE II score were at higher risk of 28-day mortality. VAP was a very common complication of TBI and was associated with an early death and higher mortality in the subgroup of patients with a GCS ≤8.

Exploring optimal air ambulance base locations in Norway using advanced mathematical modelling

BACKGROUND

Helicopter emergency medical services are an important part of many healthcare systems. Norway has a nationwide physician staffed air ambulance service with 12 bases servicing a country with large geographical variations in population density. The aim of the study was to estimate optimal air ambulance base locations.

METHODS

We used high resolution population data for Norway from 2015, dividing Norway into >300 000 1 km×1 km cells. Inhabited cells had a median (5-95 percentile) of 13 (1-391) inhabitants. Optimal helicopter base locations were estimated using the maximal covering location problem facility location optimisation model, exploring the number of bases needed to cover various fractions of the population for time thresholds 30 and 45 min, both in green field scenarios and conditioning on the current base structure. We reanalysed on municipality level data to explore the potential information loss using coarser population data.

RESULTS

For a 45 min threshold, 90% of the population could be covered using four bases, and 100% using nine bases. Given the existing bases, the calculations imply the need for two more bases to achieve full coverage. Decreasing the threshold to 30 min approximately doubles the number of bases needed. Results using municipality level data were remarkably similar to those using fine grid information.

CONCLUSIONS

The whole population could be reached in 45 min or less using nine optimally placed bases. The current base structure could be improved by moving or adding one or two select bases. Municipality level data appears sufficient for proper analysis.

Fatal injuries in rural and urban areas in northern Finland: a 5-year retrospective study

Background

Finland has the fourth highest injury mortality rate in the European Union. To better understand the causes of the high injury rate, and prevent these fatal injuries, studies are needed. Therefore, we set out to complete an analysis of the epidemiology of fatal trauma, and any contributory role for alcohol, long suspected to promote fatal injuries. As a study area, we chose the four northernmost counties of Finland; their mix of remote rural areas and urban centres allowed us to correlate mortality rates with ‘rurality’.

Methods

The Causes of Death Register was consulted to identify deaths from external causes over a 5‐year time period. Data were retrieved from death certificates, autopsy reports and medical records. The municipalities studied were classified as either rural or urban.

Results

Of 2915 deaths categorized as occurring from external causes during our study period, 1959 were eligible for inclusion in our study. The annual crude mortality rate was 54 per 100,000 inhabitants; this rate was higher in rural vs. urban municipalities (65 vs. 45 per 100,000 inhabitants/year). Additionally, a greater number of pre‐hospital deaths from accidental high‐energy trauma occurred in rural areas (78 vs. 69%). 42% of all pre‐hospital deaths occurred under the influence of alcohol.

Conclusion

The crude mortality rate for fatal injuries was high overall as compared to other studies, and elevated in rural areas, where pre‐hospital deaths were more common. Almost half of pre‐hospital deaths occurred under the influence of alcohol.

Short-term outcome and differences between rural and urban trauma patients treated by mobile intensive care units in Northern Finland: a retrospective analysis

Background

Emergency medical services are an important part of trauma care, but data comparing urban and rural areas is needed. We compared 30-day mortality and length of intensive care unit (ICU) stay for trauma patients injured in rural and urban municipalities and collected basic data on trauma care in Northern Finland.

Methods

We examined data from all trauma patients treated by the Finnish Helicopter Emergency Medical Services in 2012 and 2013. Only patients surviving to hospital were included in the analysis but all pre-hospital deaths were recorded. All data was retrieved from the national Helicopter Emergency Medical Services database, medical records, and the Finnish Causes of Death Registry. Patients were defined as urban or rural depending on the type of municipality where the injury occurred.

Results

A total of 472 patients were included. Age and Injury Severity Score did not differ between rural and urban patients. The pre-hospital time intervals and distances to trauma centers were longer for rural patients and a larger proportion of urban patients had intentional injuries (23.5 % vs. 9.3 %, P <0.001). The 30-day mortality for severely injured patients (Injury Severity Score >15) was 23.9 % in urban and 13.3 % in rural municipalities. In the multivariate regression analysis the odds ratio (OR) for 30-day mortality was 2.8 (95 % confidence interval 1.0 to 7.9, P = 0.05) in urban municipalities. There was no difference in the length of ICU stay or scores. Twenty patients died on scene or during transportation and 56 missions were aborted because of pre-hospital death.

Conclusions

The severely injured urban trauma patients had a trend toward higher 30-day mortality compared with patients injured in rural areas but the length of ICU stay was similar. However, more pre-hospital deaths occurred in rural municipalities. The time before mobile ICU arrival appears to be critical for trauma patients’ survival, especially in rural areas.

Does transport time help explain the high trauma mortality rates in rural areas? New and traditional predictors assessed by new and traditional statistical methods

BACKGROUND

Trauma is a leading global cause of death. Trauma mortality rates are higher in rural areas, constituting a challenge for quality and equality in trauma care. The aim of the study was to explore population density and transport time to hospital care as possible predictors of geographical differences in mortality rates, and to what extent choice of statistical method might affect the analytical results and accompanying clinical conclusions.

METHODS

Using data from the Norwegian Cause of Death registry, deaths from external causes 1998-2007 were analysed. Norway consists of 434 municipalities, and municipality population density and travel time to hospital care were entered as predictors of municipality mortality rates in univariate and multiple regression models of increasing model complexity. We fitted linear regression models with continuous and categorised predictors, as well as piecewise linear and generalised additive models (GAMs). Models were compared using Akaike's information criterion (AIC).

RESULTS

Population density was an independent predictor of trauma mortality rates, while the contribution of transport time to hospital care was highly dependent on choice of statistical model. A multiple GAM or piecewise linear model was superior, and similar, in terms of AIC. However, while transport time was statistically significant in multiple models with piecewise linear or categorised predictors, it was not in GAM or standard linear regression.

CONCLUSIONS

Population density is an independent predictor of trauma mortality rates. The added explanatory value of transport time to hospital care is marginal and model-dependent, highlighting the importance of exploring several statistical models when studying complex associations in observational data.

Norwegian trauma care: a national cross-sectional survey of all hospitals involved in the management of major trauma patients

BACKGROUND

Approximately 10% of the Norwegian population is injured every year, with injuries ranging from minor injuries treated by general practitioners to major and complex injuries requiring specialist in-hospital care. There is a lack of knowledge concerning the caseload of potentially severely injured patients in Norwegian hospitals. Aim of the study was to describe the current status of the Norwegian trauma system by identifying the number and the distribution of contributing hospitals and the caseload of potentially severely injured trauma patients within these hospitals.

METHODS

A cross-sectional survey with a structured questionnaire was sent in the summer of 2012 to all Norwegian hospitals that receive trauma patients. These were defined by number of trauma team activations in the included hospitals. A literature review was performed to assess over time the development of hospitals receiving trauma patients.

RESULTS

Forty-one hospitals responded and were included in the study. In 2011, four trauma centres and 37 acute care hospitals received a total of 6,570 trauma patients. Trauma centres received 2,175 (33%) patients and other hospitals received 4,395 (67%) patients. There were significant regional differences between health care regions in the distribution of trauma patients between trauma centres and acute care hospitals. More than half (52.5%) of the hospitals received fewer than 100 patients annually. The national rate of hospital admission via trauma teams was 13 per 10,000 inhabitants. There was a 37% (from 65 to 41) reduction in the number of hospitals receiving trauma patients between 1988 and 2011.

CONCLUSIONS

In 2011, hospital acute trauma care in Norway was delivered by four trauma centres and 37 acute care hospitals. Many hospitals still receive a small number of potentially severely injured patients and only a few hospitals have an electronic trauma registry. Future development of the Norwegian trauma system needs to address the challenge posed by a scattered population and long geographical distances. The implementation of a trauma system, carefully balanced between centres with adequate caseloads against time from injury to hospital care, is needed and has been shown to have a beneficial effect in countries with comparable challenges.