Motor vehicle crash-related mortality is associated with prehospital and hospital-based resource availability

Effectiveness of road safety interventions: An evidence and gap map

Background

Road Traffic injuries (RTI) are among the top ten leading causes of death in the world resulting in 1.35 million deaths every year, about 93% of which occur in low- and middle-income countries (LMICs). Despite several global resolutions to reduce traffic injuries, they have continued to grow in many countries. Many high-income countries have successfully reduced RTI by using a public health approach and implementing evidence-based interventions. As many LMICs develop their highway infrastructure, adopting a similar scientific approach towards road safety is crucial. The evidence also needs to be evaluated to assess external validity because measures that have worked in high-income countries may not translate equally well to other contexts. An evidence gap map for RTI is the first step towards understanding what evidence is available, from where, and the key gaps in knowledge.

Objectives

The objective of this evidence gap map (EGM) is to identify existing evidence from all effectiveness studies and systematic reviews related to road safety interventions. In addition, the EGM identifies gaps in evidence where new primary studies and systematic reviews could add value. This will help direct future research and discussions based on systematic evidence towards the approaches and interventions which are most effective in the road safety sector. This could enable the generation of evidence for informing policy at global, regional or national levels.

Search Methods

The EGM includes systematic reviews and impact evaluations assessing the effect of interventions for RTI reported in academic databases, organization websites, and grey literature sources. The studies were searched up to December 2019.

Selection Criteria

The interventions were divided into five broad categories: (a) human factors (e.g., enforcement or road user education), (b) road design, infrastructure and traffic control, (c) legal and institutional framework, (d) post-crash pre-hospital care, and (e) vehicle factors (except car design for occupant protection) and protective devices. Included studies reported two primary outcomes: fatal crashes and non-fatal injury crashes; and four intermediate outcomes: change in use of seat belts, change in use of helmets, change in speed, and change in alcohol/drug use. Studies were excluded if they did not report injury or fatality as one of the outcomes.

Data Collection and Analysis

The EGM is presented in the form of a matrix with two primary dimensions: interventions (rows) and outcomes (columns). Additional dimensions are country income groups, region, quality level for systematic reviews, type of study design used (e.g., case-control), type of road user studied (e.g., pedestrian, cyclists), age groups, and road type. The EGM is available online where the matrix of interventions and outcomes can be filtered by one or more dimensions. The webpage includes a bibliography of the selected studies and titles and abstracts available for preview. Quality appraisal for systematic reviews was conducted using a critical appraisal tool for systematic reviews, AMSTAR 2.

Main Results

The EGM identified 1859 studies of which 322 were systematic reviews, 7 were protocol studies and 1530 were impact evaluations. Some studies included more than one intervention, outcome, study method, or study region. The studies were distributed among intervention categories as: human factors (n = 771), road design, infrastructure and traffic control (n = 661), legal and institutional framework (n = 424), post-crash pre-hospital care (n = 118) and vehicle factors and protective devices (n = 111). Fatal crashes as outcomes were reported in 1414 records and non-fatal injury crashes in 1252 records. Among the four intermediate outcomes, speed was most commonly reported (n = 298) followed by alcohol (n = 206), use of seatbelts (n = 167), and use of helmets (n = 66). Ninety-six percent of the studies were reported from high-income countries (HIC), 4.5% from upper-middle-income countries, and only 1.4% from lower-middle and low-income countries. There were 25 systematic reviews of high quality, 4 of moderate quality, and 293 of low quality.

Authors' Conclusions

The EGM shows that the distribution of available road safety evidence is skewed across the world. A vast majority of the literature is from HICs. In contrast, only a small fraction of the literature reports on the many LMICs that are fast expanding their road infrastructure, experiencing rapid changes in traffic patterns, and witnessing growth in road injuries. This bias in literature explains why many interventions that are of high importance in the context of LMICs remain poorly studied. Besides, many interventions that have been tested only in HICs may not work equally effectively in LMICs. Another important finding was that a large majority of systematic reviews are of low quality. The scarcity of evidence on many important interventions and lack of good quality evidence-synthesis have significant implications for future road safety research and practice in LMICs. The EGM presented here will help identify priority areas for researchers, while directing practitioners and policy makers towards proven interventions.

Effect of Distance to Trauma Centre, Trauma Centre Level, and Trauma Centre Region on Fatal Injuries among Motorcyclists in Taiwan

Background: Studies have suggested that trauma centre-related risk factors, such as distance to the nearest trauma hospital, are strong predictors of fatal injuries among motorists. Few studies have used a national dataset to study the effect of trauma centre-related risk factors on fatal injuries among motorists and motorcyclists in a country where traffic is dominated by motorcycles. This study investigated the effect of distance from the nearest trauma hospital on fatal injuries from two-vehicle crashes in Taiwan from 2017 to 2019. Methods: A crash dataset and hospital location dataset were combined. The crash dataset was extracted from the National Taiwan Traffic Crash Dataset from 1 January 2017 through 31 December 2019. The primary exposure in this study was distance to the nearest trauma hospital. This study performed a multiple logistic regression to calculate the adjusted odds ratios (AORs) for fatal injuries. Results: The multivariate logistic regression models indicated that motorcyclists involved in crashes located ≥5 km from the nearest trauma hospital and in Eastern Taiwan were approximately five times more likely to sustain fatal injuries (AOR = 5.26; 95% CI: 3.69–7.49). Conclusions: Distance to, level of, and region of the nearest trauma centre are critical risk factors for fatal injuries among motorcyclists but not motorists. To reduce the mortality rate of trauma cases among motorcyclists, interventions should focus on improving access to trauma hospitals.

Helicopter Neonatal Transport: First Golden Hour at Birth Is Useful Tool Guiding Activation of Appropriate Resources

OBJECTIVE

A lack of consensus exists about the appropriate criteria to activate a helicopter during neonatal transport. The aim of the present study was to explore the possible guiding criteria to justify helicopter activation for neonatal transport (NETS).

METHODS

This was a retrospective study of the Gaslini Genoa NETSs from February 1995 to December 2019. The flight and driving times and the reason for helicopter neonatal transport activation were obtained for every subject from the online NETS clinical database. Driving and flight data (mean and standard deviation [SD]) were compared using the Student t-test (P < .05).

RESULTS

Five thousand eight hundred sixty-six transported newborn infants were identified. A significant difference emerged between the overall ground (mean = 99.2 minutes [SD = 15.7 minutes]) and overall helicopter transport times (mean = 27.8 minutes [SD = 11.9 minutes], P < .0001). Considering the "golden hour," the chance to stabilize the patient within this time frame could have been possible for 4 of 5 neonatal care centers when using a helicopter.

CONCLUSION

On the basis of our observations, we suggest including the golden hour as 1 of the guiding criteria justifying helicopter activation, especially if applied to the reason of transport and the quality of assistance the newborn will receive while waiting for the NETS team.

Contributions Of Public Health, Pharmaceuticals, And Other Medical Care To US Life Expectancy Changes, 1990-2015

Life expectancy in the US increased 3.3 years between 1990 and 2015, but the drivers of this increase are not well understood. We used vital statistics data and cause-deletion analysis to identify the conditions most responsible for changing life expectancy and quantified how public health, pharmaceuticals, other (nonpharmaceutical) medical care, and other/unknown factors contributed to the improvement. We found that twelve conditions most responsible for changing life expectancy explained 2.9 years of net improvement (85 percent of the total). Ischemic heart disease was the largest positive contributor to life expectancy, and accidental poisoning or drug overdose was the largest negative contributor. Forty-four percent of improved life expectancy was attributable to public health, 35 percent was attributable to pharmaceuticals, 13 percent was attributable to other medical care, and -7 percent was attributable to other/unknown factors. Our findings emphasize the crucial role of public health advances, as well as pharmaceutical innovation, in explaining improving life expectancy.

Association Between Trauma Center Level and Outcomes of Adult Patients with Motorcycle Crash-Related Injuries in the United States

BACKGROUND

Motorcycle crash-related injury mechanism is a criterion in the Centers for Disease Control and Prevention field triage guidelines of injured patients, with a recommendation to transport affected patients to a trauma center need not be the highest level.

OBJECTIVE

This study examines the evidence behind this recommendation because severe injuries can result from motorcycle crashes and patients can benefit from treatment at higher-level trauma centers.

METHODS

This retrospective cohort study used the National Trauma Data Bank 2015 dataset. We conducted descriptive analyses (univariate and bivariate) followed by adjusted multivariate analysis to examine the association between trauma center designation levels and survival to hospital discharge.

RESULTS

A total of 28,821 patients with motorcycle injuries were included. Most patients were men (n = 25,361; 88%) and aged between 16 and 64 years (n = 26,989; 93.6%). Survival rates were higher in level II (n = 10,658; 95.3%) and III (n = 2,129; 95.5%) trauma centers compared to level I centers (n = 14,498; 94.6%). After adjusting for confounders, decreased survival to hospital discharge was noted for patients treated at level III trauma centers compared to those at level I centers (odds ratio 0.543; 95% confidence interval 0.390-0.729). No difference in survival was noted between level I and II centers.

CONCLUSIONS

Patients with motorcycle crash-related injuries treated at higher-level trauma center (I or II) had increased survival. This warrants a re-evaluation and adjustment of the field triage criterion for such patients. Examining the evidence behind field triage guidelines in trauma systems is needed for improved patient outcomes.

The Effect of Trauma Care on the Temporal Distribution of Homicide Mortality in Jefferson County, Alabama

The distribution of time from acute traumatic injury to death has three peaks: immediate (less than or equal to one hour), early (6 to 24 hours), and late (days to weeks). It has been suggested that coordinated trauma care dampens the late peak; however, this research may be more reflective of unintentional than intentional deaths. This study examines whether a coordinated trauma system (TS) alters the temporal distribution for assault-related deaths. Data were obtained from homicides examined by the Jefferson County Coroner's/Medical Examiner's Office from 1987 to 2008. Homicides were categorized—based on year of death—as occurring in the presence of no TS, during TS implementation, in the early years of the TS, or in a mature TS. The temporal distribution of homicide mortality was compared among TS categories using a χ2 test. A Cox Markov multistate model was used to estimate proportional changes in the temporal distribution of death adjusted for assault mechanism. With a TS, after adjusting for assault mechanism, a lower proportion of homicide victims survived through the first hour (hazard ratio [HR], 0.75; 95% confidence interval [CI], 0.54 to 1.03) and from one to six hours (HR, 0.68; 95% CI, 0.49 to 0.96). Additionally, the presence of a TS was associated with a proportional decrease in deaths after 24 hours ( P = 0.0005). These results suggest that a trauma system is effective in preventing late homicide deaths; however, other means of preventing death (such as violence prevention programs) are needed to decrease the burden of immediate homicide-related deaths.

A novel scoring system to predict the requirement for surgical intervention in victims of motor vehicle crashes: Development and validation using independent cohorts

Background

Given that there are still considerable number of facilities which lack surgical specialists round the clock across the world, the ability to estimate the requirement for emergency surgery in victims of motor vehicle crashes (MVCs) can ensure appropriate resource allocation. In this study, a surgical intervention in victims of MVC (SIM) score was developed and validated, using independent patient cohorts.

Methods

We retrospectively identified MVC victims in a nationwide trauma registry (2004–2016). Adults ≥ 15 years who presented with palpable pulse were included. Patients with missing data on the type/date of surgery were excluded. Patient were allocated to development or validation cohorts based on the date of injury. After missing values were imputed, predictors of the need for emergency thoracotomy and/or laparotomy were identified with multivariate logistic regression, and scores were then assigned using odds ratios. The SIM score was validated with area under the receiver operating characteristic curve (AUROC) and calibration plots of SIM score-derived probability and observed rates of emergency surgery.

Results

We assigned 13,328 and 12,348 patients to the development and validation cohorts, respectively. Age, motor vehicle collision and vital signs on hospital arrival were identified as independent predictors for emergency thoracotomy and/or laparotomy, and SIM score was developed as 0–9 scales. The score has a good discriminatory power (AUROC = 0.79; 95% confidence interval = 0.77–0.81), and both estimated and observed rates of emergency surgery increased stepwise from 1% at a score ≤ 1 to almost 40% at a score ≥ 8 with linear calibration plots.

Conclusions

The SIM score was developed and validated to accurately estimate the need for emergent thoracotomy and/or laparotomy in MVC victims.

Driving Distractions Among Public Health Center Clients: A Look at Local Patterns During the Infancy of Distracted Driving Laws in California

Objective: To provide a baseline of various driving behaviors and to identify opportunities for prevention of distracted driving during the infancy of state laws that prohibited cellphone use while operating a motor vehicle, the 2010–2011 Distracted Driving Survey collected information on multiple distracted driving behaviors from lower-income clients of three designated, multi-purpose public health centers in Los Angeles County.

Methods: Descriptive and multivariable negative binomial regression analyses were performed to examine patterns of driving distractions using the Distracted Driving Survey dataset (n = 1,051).

Results: The most common distractions included talking to other passengers (n = 912, 86.8%); adjusting the radio, MP3, or cassette player (n = 873, 83.1%); and adjusting other car controls (n = 838, 79.7%). The median number of distinct distractions per survey participant was 11 (range: 0–32). Factors predicting the number of distinct distractions included being male [incidence rate ratio (IRR): 1.14; 95% confidence interval (CI): 1.06, 1.23], having a lower education (IRR: 0.73; 95% CI: 0.62, 0.84), and having more years of driving experience (IRR: 1.67; 95% CI: 1.33, 2.11). A variety of distractions, including cellphone use and texting, were predictive of increased motor vehicle crashes in the prior 12 months (p < 0.05).

Conclusions: Distracted driving beyond cellphone use and texting were common in the survey sample, suggesting a need for additional public education and more inclusive distracted driving laws that cover these other activity types.

Using Rural⁻Urban Continuum Codes (RUCCS) to Examine Alcohol-Related Motor Vehicle Crash Injury and Enforcement in New York State

Rural areas of New York State (NYS) have higher rates of alcohol-related motor vehicle (MV) crash injury than metropolitan areas. While alcohol-related injury has declined across the three geographic regions of NYS, disparities persist with rural areas having smaller declines. Our study aim was to examine factors associated with alcohol-related MV crashes in Upstate and Long Island using multi-sourced county-level data that included the Crash Outcome Data Evaluation System (CODES) with emergency department visits and hospitalizations, traffic citations, demographic, economic, transportation, alcohol outlets, and Rural–Urban Continuum Codes (RUCCS). A cross-sectional study design employed zero-truncated negative binominal regression models to assess relative risks (RR) with 95% confidence interval (CI). Counties (n = 57, 56,000 alcohol-related crashes over the 3 year study timeframe) were categorized by mean annual alcohol-related MV injuries per 100,000 population: low (24.7 ± 3.9), medium (33.9 ± 1.7) and high (46.1 ± 8.0) (p < 0.0001). In multivariable analyses, alcohol-related MV injury was elevated for non-adjacent, non-metropolitan counties (RR 2.5, 95% CI: 1.6–3.9) with higher citations for impaired driving showing a small, but significant protective effect. Less metropolitan areas had higher alcohol-related MV injury with inconsistent alcohol-related enforcement measures. In summary, higher alcohol-related MV injury rates in non-metropolitan counties demonstrated a dose–response relationship with proximity to a metropolitan area. These findings suggest areas where intervention efforts might be targeted to lower alcohol-related MV injury.

Impact of Trauma System Structure on Injury Outcomes: A Systematic Review and Meta-Analysis

BACKGROUND

The effectiveness of trauma systems in decreasing injury mortality and morbidity has been well demonstrated. However, little is known about which components contribute to their effectiveness. We aimed to systematically review the evidence of the impact of trauma system components on clinically important injury outcomes.

METHODS

We searched MEDLINE, EMBASE, Cochrane CENTRAL, and BIOSIS/Web of Knowledge, gray literature and trauma association Web sites to identify studies evaluating the association between at least one trauma system component and injury outcome. We calculated pooled effect estimates using inverse-variance random-effects models. We evaluated quality of evidence using GRADE criteria.

RESULTS

We screened 15,974 records, retaining 41 studies for qualitative synthesis and 19 for meta-analysis. Two recommended trauma system components were associated with reduced odds of mortality: inclusive design (odds ratio [OR] = 0.72 [0.65-0.80]) and helicopter transport (OR = 0.70 [0.55-0.88]). Pre-Hospital Advanced Trauma Life Support was associated with a significant reduction in hospital days (mean difference [MD] = 5.7 [4.4-7.0]) but a nonsignificant reduction in mortality (OR = 0.78 [0.44-1.39]). Population density of surgeons was associated with a nonsignificant decrease in mortality (MD = 0.58 [-0.22 to 1.39]). Trauma system maturity was associated with a significant reduction in mortality (OR = 0.76 [0.68-0.85]). Quality of evidence was low or very low for mortality and healthcare utilization.

CONCLUSIONS

This review offers low-quality evidence for the effectiveness of an inclusive design and trauma system maturity and very-low-quality evidence for helicopter transport in reducing injury mortality. Further research should evaluate other recommended components of trauma systems and non-fatal outcomes and explore the impact of system component interactions.

Evaluating quality indicators of tertiary care hospitals for trauma care in Japan

Objective

This study examined the associations between trauma mortality and quality of care indicators currently used in Japan.

Design

This is a retrospective two-level discrete-time survival analysis. Quality indicators were derived from the 2012-2013 annual hospital survey conducted by the Ministry of Health, Labour and Welfare. Trauma mortality data were derived from the Japan Trauma Data Bank for the period of April 2012 to March 2013.

Setting

Tertiary care centers designated as emergency and critical care centers (ECCCs) in Japan.

Participants

The analysis included 12 378 patients aged ≥15 years with blunt trauma and an Injury Severity Score ≥9, registered to the data bank from 91 ECCCs.

Intervention

Quality of care indicators examined in the annual hospital survey.

Main Outcome Measures

Deaths within 30 days.

Results

Of the 12 378 patients, 660 (5%) died within 30 days. Higher indicator score was significantly associated with lower mortality risk (hazard ratio [HR] for the second, third and fourth quartiles vs. lowest quartile 0.61, 0.55 and 0.52, respectively). Factors significantly associated with lower mortality risk were, higher patient volume (HR for the highest vs. lowest quartile, 0.74), director's qualification as specialist (HR 0.57) or consultant (HR 0.58), review of patient arrival process (HR 0.68), triage functions (HR 0.69), availability of psychiatrists (HR 0.75) and operating room being ready 24-h (HR 0.81).

Conclusions

The study identified certain indicators associated with trauma patient mortality. Further refinement of indicators is required to specifically identify what needs changing.

Rural and Urban Differences in Passenger-Vehicle-Occupant Deaths and Seat Belt Use Among Adults - United States, 2014

PROBLEM/CONDITION

Motor-vehicle crashes are a leading cause of death in the United States. Compared with urban residents, rural residents are at an increased risk for death from crashes and are less likely to wear seat belts. These differences have not been well described by levels of rurality.

REPORTING PERIOD

2014.

DESCRIPTION OF SYSTEMS

Data from the Fatality Analysis Reporting System (FARS) and the Behavioral Risk Factor Surveillance System (BRFSS) were used to identify passenger-vehicle-occupant deaths from motor-vehicle crashes and estimate the prevalence of seat belt use. FARS, a census of U.S. motor-vehicle crashes involving one or more deaths, was used to identify passenger-vehicle-occupant deaths among adults aged ≥18 years. Passenger-vehicle occupants were defined as persons driving or riding in passenger cars, light trucks, vans, or sport utility vehicles. Death rates per 100,000 population, age-adjusted to the 2000 U.S. standard population and the proportion of occupants who were unrestrained at the time of the fatal crash, were calculated. BRFSS, an annual, state-based, random-digit-dialed telephone survey of the noninstitutionalized U.S. civilian population aged ≥18 years, was used to estimate prevalence of seat belt use. FARS and BRFSS data were analyzed by a six-level rural-urban designation, based on the U.S. Department of Agriculture 2013 rural-urban continuum codes, and stratified by census region and type of state seat belt enforcement law (primary or secondary).

RESULTS

Within each census region, age-adjusted passenger-vehicle-occupant death rates per 100,000 population increased with increasing rurality, from the most urban to the most rural counties: South, 6.8 to 29.2; Midwest, 5.3 to 25.8; West, 3.9 to 40.0; and Northeast, 3.5 to 10.8. (For the Northeast, data for the most rural counties were not reported because of suppression criteria; comparison is for the most urban to the second-most rural counties.) Similarly, the proportion of occupants who were unrestrained at the time of the fatal crash increased as rurality increased. Self-reported seat belt use in the United States decreased with increasing rurality, ranging from 88.8% in the most urban counties to 74.7% in the most rural counties. Similar differences in age-adjusted death rates and seat belt use were observed in states with primary and secondary seat belt enforcement laws.

INTERPRETATION

Rurality was associated with higher age-adjusted passenger-vehicle-occupant death rates, a higher proportion of unrestrained passenger-vehicle-occupant deaths, and lower seat belt use among adults in all census regions and regardless of state seat belt enforcement type.

PUBLIC HEALTH ACTIONS

Seat belt use decreases and age-adjusted passenger-vehicle-occupant death rates increase with increasing levels of rurality. Improving seat belt use remains a critical strategy to reduce crash-related deaths in the United States, especially in rural areas where seat belt use is lower and age-adjusted death rates are higher than in urban areas. States and communities can consider using evidence-based interventions to reduce rural-urban disparities in seat belt use and passenger-vehicle-occupant death rates.

Survival Advantage Associated with Treatment of Injury at Designated Trauma Centers

This article analyzes the effectiveness of designated trauma centers in Florida concerning reduction in the mortality risk of severely injured trauma victims. A bivariate probit model is used to compute the differential impact of two alternative acute care treatment sites. The alternative sites are defined as (1) a nontrauma center (NC) or (2) a designated trauma center (DTC). An instrumental-variables method was used to adjust for prehospital selection bias in addition to the influence of age, gender, race, risk of mortality, and type of injury. Treatment at a DTC was associated with a reduction of 0.13 in the probability of mortality.

A retrospective comparison of helicopter transport versus ground transport in patients with severe sepsis and septic shock

Background

Helicopter emergency medical services (HEMS) extend the reach of a tertiary care center significantly. However, its role in septic patients is unclear. Our study was performed to clarify the role of HEMS in severe sepsis and septic shock.

Methods

This is a single-center retrospective cohort study. This study was performed at Mayo Clinic, Rochester, MN, in years 2007–2009. This study included a total of 181 consecutive adult patients admitted to the medical intensive care unit meeting criteria for severe sepsis or septic shock within 24 h of admission and transported from an acute care facility by a helicopter or ground ambulance. The primary predictive variable was the mode of transport. Multiple demographic, clinical, and treatment variables were collected and analyzed with univariate analysis followed by multivariate analysis.

Results

The patients transported by HEMS had a significantly faster median transport time (1.3 versus 1.7 h, p < 0.01), faster time to meeting criteria for severe sepsis or septic shock (1.2 versus 2.9 h, p < 0.01), a higher SOFA score (9 versus 7, p < 0.01), higher incidence of acute respiratory distress syndrome (38 versus 18 %, p = 0.013), higher need for invasive mechanical ventilation (60 versus 41 % p = 0.014), higher ICU mortality (13.3 versus 4.1 %, p = 0.024), and an increased hospital mortality (17 versus 30 %, p = 0.04) when compared to those transported by ground. Distance traveled was not an independent predictor of hospital mortality on multivariate analysis.

Conclusions

HEMS transport is associated with faster transport time, carries sicker patients, and is associated with higher hospital mortality compared with ground ambulance services for patients with severe sepsis or septic shock.

Reduction in trauma mortality in Israel during the last decade (2000-2010): the impact of changes in the trauma system

HYPOTHESIS

Following the introduction of changes to the trauma system there would be a period of time during which the impact on mortality would be minimal. A decrease in mortality rates would be noted as the TS matured and would continue over time.

DESIGN

A retrospective cohort study of all severely injured patients (injury severity score ≥ 16) recorded in the Israeli National Trauma Registry at six level I trauma centres in Israel from 2000 to 2010. Inpatient death rates were examined overall and by sub groups.

SETTING

The National Trauma Registry contains hospitalized patients, transfer patients to or from other hospitals and those who died in the emergency department. It excludes patients who were dead on arrival, discharged following treatment in the emergency department, and patients whose injuries by definition are not classified as trauma.

MAIN OUTCOME MEASURES

In-hospital mortality

RESULTS

Data included 23,143 severe trauma patients available for analysis. Inpatient mortality rates decreased significantly from 16% in 2000 to 11% in 2010. The odds ratio for mortality in 2010 vs. 2000, adjusted for year, age, sex, mechanism of injury, traumatic brain injury, penetrating injury, and severity of injury (ISS ≥ 25), was 0.53, confirming a downward trend.

CONCLUSIONS

A steady significant reduction in the inpatient mortality rate for severe trauma patients hospitalized at all level I trauma centres in Israel between 2000 and 2010 was observed. Although a single factor that explains the reduction was not identified, evidently the establishment of the trauma system brought about a significant decrease in hospital mortality. Integrated cooperation between components of the national trauma system in Israel over the years may explain the reduction.

Mortality in rural locations after severe injuries from motor vehicle crashes

BACKGROUND

Mortality from traffic crashes is often higher in rural regions, and this may be attributable to decreased survival probability after severe injury.

METHODS

Data were obtained from the National Automotive Sampling System - General Estimates System (NASS-GES) for 2002-2008. Using weighted survey logistic regression, three injury outcomes were analyzed: (a) Death overall, (b) Severe injury (incapacitating or fatal), and (c) Death, after severe injury. Models controlled for (pre-crash) person, event, and county level factors.

RESULTS

The sample included 883,473 motorists. Applying weights, this represented a population of 98,411,993. Only 2% of the weighted sample sustained a severe injury, and 9% of these severely injured motorists died. The probability of death overall and the probability of severe injury increased with older age, safety belt nonuse, vehicle damage, high speed, and early morning crashes . Males were less likely to be severely injured, but more likely to die if severely injured. Motorists in southern states were more likely to have severe injuries, but not more likely to die if severely injured. Motorists who crashed in very rural counties were significantly more likely to die overall, and were more likely to die if severely injured.

CONCLUSIONS

Motorists with severe injury are more likely to die in rural areas, after controlling for person- and event-specific factors.

Trauma profile at a tertiary intensive care unit in Saudi Arabia

BACKGROUND AND OBJECTIVES

Trauma is a leading cause of death worldwide and in Saudi Arabia. This study describes the injury profiles and ICU outcomes of patients in a tertiary trauma care referral center in Riyadh, Saudi Arabia.

DESIGN AND SETTING

A retrospective analysis of ICU data collected prospectively over 5 years in a 21-bed medical and surgical intensive care unit (ICU) in a tertiary care teaching hospital.

PATIENTS AND METHODS

We collected ICU data on all patients admitted secondary to motor vehicle accidents (MVAs), excluding patients younger than 18 years, brain dead patients and readmissions. We collected data on age, gender, and Glasgow coma scale score at admission, injury severity scores, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and other data. Multivariate logistic regression was used to identify predictors of mortality.

RESULTS

During the study period, of 1659 patients, MVA was the most common cause of injury (78.4%), followed by pedestrian accident (12.7%). ICU mortality included 221 patients (13.3%) during the study period. Severe head injury, age > 60 years, Glascow coma scale score, injury severity scores, APACHE II and international normalized ratio were independent predictors of mortality.

CONCLUSION

MVA is very common in our country and leads to significant mortality and morbidity. Public education and strict law enforcement are needed to reduce these adverse events.

Increased population density of neurosurgeons associated with decreased risk of death from motor vehicle accidents in the United States

Object

Motor vehicle accidents (MVAs) are a leading cause of death and disability in young people. Given that a major cause of death from MVAs is traumatic brain injury, and neurosurgeons hold special expertise in this area relative to other members of a trauma team, the authors hypothesized that neurosurgeon population density would be related to reduced mortality from MVAs across US counties.

Methods

The Area Resource File (2009–2010), a national health resource information database, was retrospectively analyzed. The primary outcome variable was the 3-year (2004–2006) average in MVA deaths per million population for each county. The primary independent variable was the density of neurosurgeons per million population in the year 2006. Multiple regression analysis was performed, adjusting for population density of general practitioners, urbanicity of the county, and socioeconomic status of the county.

Results

The median number of annual MVA deaths per million population, in the 3141 counties analyzed, was 226 (interquartile range [IQR] 151–323). The median number of neurosurgeons per million population was 0 (IQR 0–0), while the median number of general practitioners per million population was 274 (IQR 175–410). Using an unadjusted analysis, each increase of 1 neurosurgeon per million population was associated with 1.90 fewer MVA deaths per million population (p < 0.001). On multivariate adjusted analysis, each increase of 1 neurosurgeon per million population was associated with 1.01 fewer MVA deaths per million population (p < 0.001), with a respective decrease in MVA deaths of 0.03 per million population for an increase in 1 general practitioner (p = 0.007). Rural location, persistent poverty, and low educational level were all associated with significant increases in the rate of MVA deaths.

Conclusions

A higher population density of neurosurgeons is associated with a significant reduction in deaths from MVAs, a major cause of death nationally. This suggests that the availability of local neurosurgeons is an important factor in the overall likelihood of survival from an MVA, and therefore indicates the importance of promoting neurosurgical education and practice throughout the country.

Helicopter EMS: Research Endpoints and Potential Benefits

Patients, EMS systems, and healthcare regions benefit from Helicopter EMS (HEMS) utilization. This article discusses these benefits in terms of specific endpoints utilized in research projects. The endpoint of interest, be it primary, secondary, or surrogate, is important to understand in the deployment of HEMS resources or in planning further HEMS outcomes research. The most important outcomes are those which show potential benefits to the patients, such as functional survival, pain relief, and earlier ALS care. Case reports are also important "outcomes" publications. The benefits of HEMS in the rural setting is the ability to provide timely access to Level I or Level II trauma centers and in nontrauma, interfacility transport of cardiac, stroke, and even sepsis patients. Many HEMS crews have pharmacologic and procedural capabilities that bring a different level of care to a trauma scene or small referring hospital, especially in the rural setting. Regional healthcare and EMS system's benefit from HEMS by their capability to extend the advanced level of care throughout a region, provide a "backup" for areas with limited ALS coverage, minimize transport times, make available direct transport to specialized centers, and offer flexibility of transport in overloaded hospital systems.

The Effect of Ambulance Diversions on the Development of Trauma Systems

This report examines the complex relationship between the diversion of ambulances within an emergency medical services system and the management of trauma patients.

Presentation of trauma at the National Orthopaedic Hospital Enugu: a pilot study

This prospective study spanning three months was undertaken to provide insight to trauma care including intervention times in this centre. Improved organization of trauma care is needed urgently for improved outcomes.

Analysis of trends in the Florida Trauma System (1991-2003): changes in mortality after establishment of new centers

BACKGROUND

This study analyzes trends in hospitalization and outcome for adult, elderly, and pediatric trauma victims in the Florida Trauma System (FTS) from 1991 to 2003, during which time the number of centers nearly doubled from 11 to 20.

METHODS

Administrative data was queried for all admissions with at least one trauma related discharge. Patients were stratified by age as pediatric (age, 0 to 15 years), adult (age, 16 to 64 years), or elderly (age, >64 years). Volume of admissions, severity, and mortality were analyzed over time. A logistic regression model was used to test the existence of an organizational experience curve after the designation of a new trauma center.

RESULTS

Injury-related hospitalizations increased for the elderly, stayed the same for adults, and declined for children. As the system matured, a larger percentage of victims, particularly the most severely injured, were triaged to trauma centers, indicating more effective triage. In contrast to adults and pediatric patients, the majority of elderly trauma victims were managed at non-trauma centers. The trauma mortality rate per 1,000 population among the elderly increased during the study period (P < .01). Multivariate analysis indicated that for adult and pediatric victims it took up to 3 years after the designation of trauma center status before the odds of mortality reached parity with that of established centers.

CONCLUSIONS

The FTS has grown with its population and has matured to treat a larger percentage of trauma victims. Trauma victims transported to established trauma centers (4+ years) have a survival advantage compared to their counterparts transported to newly created centers. The reduction in the odds of mortality does not occur immediately after trauma center designation.

Crossing county lines: the impact of crash location and driver's residence on motor vehicle crash fatality

INTRODUCTION

Studies have demonstrated that the fatality risk for motor vehicle crashes (MVCs) is higher in rural than urban areas. The purpose of this study was to quantify the risk of a fatal outcome associated with a crash by the urban/rural classification of the driver's county of residence and the county of crash before and after adjusting for potentially confounding factors.

METHODS

County of crash and driver's county of residence were classified as urban or rural for 514,648 Utah crash participants. Multivariate regression analysis was used to assess the impact of rural versus urban crash location on fatality outcomes for both urban and rural drivers.

RESULTS

Before adjusting for confounding factors the relative risk of fatality in a rural versus urban crash was 9.7 (95% CI: 8.0-11.7) for urban drivers and their passengers compared to 1.8 (95% CI: 1.3-2.6) for rural residents. Adjustment for behavioral, road, and crash characteristics reduced risk estimates to 2.8 (95% CI: 2.2-3.5) and 1.2 (95% CI: 0.8-1.7), respectively.

CONCLUSION

Urban and rural drivers may have distinct risk factors for MVC fatality in rural areas. Interventions to reduce the risk of fatality in rural areas should evaluate the needs of both urban and rural drivers.

Evaluation of a mature trauma system

INTRODUCTION

An effective trauma system should offer patients triaged to a trauma center (TC) a survival advantage and cost-effective treatment. Three questions were asked: 1) Does treatment at a TC versus a nontrauma center (NTC) improve survival? 2) Is the system cost-effective? 3) Is access to the system equitable?

METHODS

The 2003 Florida discharge database identified patients with ICD9 codes 800 to 959. Survival risk ratios (SRR) were calculated using 1999-2000 data and ICISS were produced for each code. Using 2003 data, mortality rates were calculated for matched patients at TCs and NTCs. Instrumental variables methodology was used to account for differences in mortality risks of patients triaged to TCs versus NTCs. Logistic regression analysis was used to determine differences in mortality. Charge/cost ratios were analyzed to compute the cost care and cost/life saved. Accessibility to a TC within 85 minutes of injury was assessed.

RESULTS

Treatment at a TC was associated with an 18% reduction in mortality. Mean costs of care in TCs and NTCs were $11,910 and $6019, respectively. Dividing the mean cost difference by the reduction in mortality yields a cost of $34,887/life saved. A total of 42% of patients returned to work within 24 months of injury. Using an expected median of 19 years of employment for a 33-year-old individual and proposed state funding figures for the trauma system, a life saved results in an approximate annual cost to the state of between $100 and $500. Currently, 95% of citizens of the state have access to the trauma system within 85 minutes of injury; however, only 38% of trauma patients are triaged to a TC. Addition of 3 TCs would increase these percentages to 99% and 65%.

CONCLUSIONS

Triage to a Florida TC is associated with a decreased risk of death. Moreover, cost/life year saved is favorable when compared with societal expenditures for other health problems. Improved deployment of TCs is necessary to optimize access. This assessment methodology is a useful model for evaluation of mature trauma systems.

A Systematic Review and Meta-Analysis Comparing Outcome of Severely Injured Patients Treated in Trauma Centers Following the Establishment of Trauma Systems

BACKGROUND

The establishment of trauma systems was anticipated to improve overall survival for the severely injured patient. We systematically reviewed the published literature to assess if outcome from severe traumatic injury is improved for patients following the establishment of a trauma system.

METHODS

A systematic literature review of all population-based studies that evaluated trauma system performance was conducted. A qualitative analysis of each study's design and methodology and a meta-analysis was performed to evaluate the evidence to date of trauma system effectiveness.

RESULTS

A search of the literature yielded 14 published articles. Trauma systems demonstrated improved odds of survival in 8 of the 14 reports. The overall quality-weighted odds ratio was 0.85 lower mortality following trauma system implementation.

CONCLUSIONS

The results of the meta-analysis showed a 15% reduction in mortality in favor of the presence of a trauma system. Evaluation of trauma system effectiveness must remain an uncompromising commitment to optimal outcome for the injured patient.

The association between trauma system and trauma center components and outcome in a mature regionalized trauma system

BACKGROUND

Regionalized trauma systems have been shown repeatedly to improve the outcome of seriously injured patients. However, we do not have data regarding which components of these systems have the most impact on outcome and to what degree. The objective of this study was to understand the association between various components that make up a trauma system and outcome.

METHODS

Surveys were administered to trauma directors at 59 hospitals in the province of Quebec, Canada. Data from the surveys were then linked with specific outcome variables obtained from a regionalized trauma database. Specific outcomes were assigned to trauma system- and in-hospital-based components after controlling for injury severity.

RESULTS

Over 4.8 years, 72,073 patients met inclusion criteria. Components found to affect survival after risk adjustment were prehospital notification (OR, 0.61; 95% CI, 0.39-0.94) and the presence of a performance improvement program in that hospital (OR, 0.44; 95% CI, 0.20-0.94). Increased patient volume was associated with a reduction in risk-adjusted mortality (OR, 0.98; 95% CI, 0.97-0.99). Tertiary trauma centers were also associated with a reduction in risk-adjusted mortality compared with both secondary and primary centers (OR, 0.68; 95% CI, 0.48-0.99).

CONCLUSIONS

Improvements in outcome in a regionalized trauma system are secondary to a combination of elements, as well as to the interplay of these elements on each other. Prehospital notification protocols and performance improvement programs appear to be most associated with decreased risk-adjusted odds of death.