Effectiveness of state trauma systems in reducing injury-related mortality: a national evaluation

Road death trend in the United States: implied effects of prevention

This study estimates road deaths prevented by U.S. vehicle safety regulations, state laws, and other efforts based on comparison of actual deaths to those predicted from temperature and precipitation effects on exposure, migration to warmer areas, population growth, median age of the population, and vehicle mix. Logistic regression of risk factors predictive of road deaths in 1961, prior to the adoption of federal vehicle safety regulations, state behavioral change laws, and other preventive efforts were used to predict deaths in subsequent years given the changing prevalence of the risk factors from 1962 to 2015. The included risk factors are strong predictors of road death risk. Without the preventive efforts, an additional 5.8 million road deaths would likely have occurred in the U.S. from the initiation of federal safety standards for new vehicles in 1968 through 2015.

The Evolution of Trauma in Los Angeles County Over More Than a Decade

OBJECTIVE

Explore trends in trauma incidence and mortality rates in Los Angeles County.

DESIGN

Data for patients treated at Los Angeles County trauma centers from 2000 to 2011 were analyzed for this study. Age-adjusted incidence and mortality rates were calculated by gender, race, injury type, injury severity, and mechanism of injury. Trends were assessed using linear regression to determine the annual percentage change (APC).

RESULTS

There were 223 773 patients included. The trauma incidence rate increased by 14.6% driven by an increase in blunt injury of 5.4% annually (P < .05). Penetrating injury decreased at -6.9% APC (P < .01). Mortality rate decreased at -11.5% APC (P < .01), with reduction in both blunt (-6.8% APC [P < .01]) and penetrating injuries (-16.7% APC [P < .01]). The trends in mortality persisted with stratification by age, gender, race, and injury severity score.

CONCLUSION

In this mature trauma system, the trauma incidence increased slightly from 2000 to 2011, while the mortality steadily declined. Public health officials in other areas could perform a similar self-evaluation to describe and monitor injury events and trends in their jurisdictions, a reassessment of priority and trauma system resource allocation, which will directly benefit the regional population.

Distance matters: Effect of geographic trauma system resource organization on fatal motor vehicle collisions

BACKGROUND

Trauma systems improve outcome; however, it is unclear how geographic organization of trauma system resources (TSR) affects outcome. Our objective was to evaluate the relationship of fatal motor vehicle collision (MVC) rates and the distance from individual MVC locations to the nearest TSR as a measure of the geographical organization of trauma systems, as well as how theoretical changes in the distribution of TSR may affect fatal MVC rates.

METHODS

All fatal MVC in Pennsylvania 2013-2014 were mapped from the Fatality Analysis Reporting System database. Deaths on scene were excluded. TSR including trauma centers and helicopter bases were mapped. Distance between each fatal MVC and nearest TSR was calculated. The primary outcome was fatal MVC rate per 100 million vehicle miles traveled (VMT). Empiric Bayes kriging and hot spot analysis were performed to evaluate geographic patterns in fatal MVC rates. Association between fatal MVC rate and distance to the nearest TSR was evaluated with linear regression. Spatial lag regression evaluated this association while controlling for MVC and county-level characteristics.

RESULTS

We identified 886 fatalities from 863 fatal MVC. Median fatal MVC rate was 0.187 per 100 million VMT. Higher fatal MVC rates and fatality hot spots occur in locations farther from TSR. The fatal MVC rate increased 0.141 per 100 million VMT for every 10 miles farther from the nearest TSR (p < 0.01). When controlling for confounders, the fatal MVC rate increased by 0.089 per 100 million VMT for every 10 miles farther from the nearest TSR (p < 0.01). If two helicopters stationed at trauma centers were relocated into the highest fatality regions, our model predicts a 12.3% relative reduction in the overall MVC fatality rate.

CONCLUSIONS

Increasing distance to the nearest TSR is associated with increasing fatal MVC rate. The geographic organization of trauma systems may impact outcome, and geospatial analysis can allow data-driven changes to potentially improve outcome.

LEVEL OF EVIDENCE

Prognostic/Epidemiologic, level III; Case management, level III.

A traumatic tale of two cities: a comparison of outcomes for adults with major trauma who present to differing trauma centres in neighbouring Canadian provinces

OBJECTIVES

While the use of formal trauma teams is widely promoted, the literature is not clear that this structure provides improved outcomes over emergency physician delivered trauma care. The goal of this investigation was to examine if a trauma team model with a formalized, specialty-based trauma team, with specific activation criteria and staff composition, performs differently than an emergency physician delivered model. Our primary outcome was survival to discharge or 30 days.

METHODS

An observational registry-based study using aggregate data from both the New Brunswick and Nova Scotia trauma registries was performed with data from April 1, 2011 to March 31, 2013. Inclusion criteria included patients 16 years-old and older who had an Injury Severity Score greater than 12, who suffered a kinetic injury and arrived with signs of life to a level-1 trauma centre.

RESULTS

266 patients from the trauma team model and 111 from the emergency physician model were compared. No difference was found in the primary outcome of proportion of survival to discharge or 30 days between the two systems (0.88, n=266 vs. 0.89, n=111; p=0.8608).

CONCLUSIONS

We were unable to detect any difference in survival between a trauma team and an emergency physician delivered model.

A Decade Evaluation of a State Trauma System: Has Access to Inpatient Trauma Care at Designated Trauma Centers Improved?

Recently, the trauma center component of the Georgia trauma system was evaluated demonstrating a 10 per cent probability of increased survival for severely injured patients treated at designated trauma centers (DTCs) versus nontrauma centers. The purpose of this study was to determine the effectiveness of a state trauma system to provide access to inpatient trauma care at DTCs for its residents. We reviewed 371,786 patients from the state's discharge database and identified 255,657 treated at either a DTC or a nontrauma center between 2003 and 2012. Injury severity was assigned using the International Classification Injury Severity Score method. Injury was categorized as mild, moderate, or severe. Patients were also categorized by age and injury type. Access improved over time in all severity levels, age groups, and injury types. Although elderly had the largest improvement in access, still only 70 per cent were treated at a DTC. During the study period, increases were noted for all age groups, injury severity levels, and types of injury. A closer examination of the injured elderly population is needed to determine the cause of lower utilization by this age group. Overall, the state's trauma system continues to mature by providing patients with increased access to treatment at DTCs.

Rural Trauma Team Development Course decreases time to transfer for trauma patients

BACKGROUND

The Rural Trauma Team Development Course (RTTDC) is designed to teach knowledge and skills for the initial assessment and stabilization of trauma patients in resource-limited environments. The effect of RTTDC training on transfers from nontrauma centers to definitive care has not been studied. We hypothesized that RTTDC training would decrease referring hospital emergency department (ED) length of stay (LOS), time to call for transfer, pretransfer computed tomography (CT) imaging rate, and mortality rate.

METHODS

We conducted a pre/post analysis of trauma patients who were transferred from rural, nontrauma hospitals from 2012 to 2014. Patients from six rural hospitals that participated in an RTTDC course were compared with a control group of similar centers that did not participate in the course. Primary outcome evaluated was referring hospital ED LOS, which was estimated using a difference-in-differences regression model. Secondary outcomes were time to transfer call, pretransfer CT imaging rates, and mortality.

RESULTS

Two hundred fifty-three patients were available for study (RTTDC group, n = 130; control group, n = 123). Demographics, CT imaging, and mortality rates were similar between the two groups. In the primary outcome, the RTTDC group experienced an overall 61-minute reduction in referring hospital LOS (p = 0.02) compared with the control group. The RTTDC group also showed a 41-minute reduction (p = 0.03) in time to call for transfer compared with controls. There were no differences in the secondary outcomes of pretransfer CT scanning rates or mortality.

CONCLUSIONS

Rural Trauma Team Development Course training shortens ED LOS at rural, nontrauma hospitals by more than 1 hour without increasing mortality. Future educational and research efforts should focus on decreasing unnecessary imaging prior to transfer as well as opportunities to improve mortality rates. This study suggests an important role for RTTDC training in the care of rural trauma patients and may allow trauma centers to recapture the "golden hour" for transferred trauma patients.

LEVEL OF EVIDENCE

Therapeutic/care management study, level III.

A novel methodology to characterize interfacility transfer strategies in a trauma transfer network

BACKGROUND

More than half of severely injured patients are initially transported from the scene of injury to nontrauma centers (NTCs), with many requiring subsequent transfer to trauma center (TC) care. Definitive care in the setting of severe injury is time sensitive. However, transferring severely injured patients from an NTC is a complex process often fraught with delays. Selection of the receiving TC and the mode of interfacility transport both strongly influence total transfer time and are highly amenable to quality improvement initiatives.

METHODS

We analyzed transfer strategies, defined as the pairing of a destination and mode of transport (land vs. rotary wing vs. fixed wing), for severely injured adult patients. Existing transfer strategies at each NTC were derived from trauma registry data. Geographic Information Systems network analysis was used to identify the strategy that minimized transfer times the most as well as alternate strategies (+15 or +30 minutes) for each NTC. Transfer network efficiency was characterized based on optimality and stability.

RESULTS

We identified 7,702 severely injured adult patients transferred from 146 NTCs to 9 TCs. Nontrauma centers transferred severely injured patients to a median of 3 (interquartile range, 1-4) different TCs and utilized a median of 4 (interquartile range, 2-6) different transfer strategies. After allowing for the use of alternate transfer strategies, 73.1% of severely injured patients were transported using optimal/alternate strategies, and only 40.4% of NTCs transferred more than 90% of patients using an optimal/alternate transfer strategy. Three quarters (75.5%) of transfers occurred between NTCs and their most common receiving TC.

CONCLUSION

More than a quarter of patients with severe traumatic injuries undergoing interfacility transport to a TC in Ontario are consistently transported using a nonoptimal combination of destination and mode of transport. Our novel analytic approach can be easily adapted to different system configurations and provides actionable data that can be provided to NTCs and other stakeholders.

LEVEL OF EVIDENCE

Therapeutic study, level IV.

Potential benefit of physician-staffed helicopter emergency medical service for regional trauma care system activation: An observational study in rural Japan

Objective: Involvement of all regional medical facilities in a trauma system is challenging in rural regions. We hypothesized that the physician-staffed helicopter emergency medical service potentially encouraged local facilities to participate in trauma systems by providing the transport of patients with trauma to those facilities in a rural setting. Materials and Methods: We performed two retrospective observational studies. First, yearly changes in the numbers of patients with trauma and destination facilities were surveyed using records from the Miyazaki physician-staffed helicopter emergency medical service from April 2012 to March 2014. Second, we obtained data from medical records regarding the mechanism of injury, severity of injury, resuscitative interventions performed within 24 h after admission, secondary transports owing to undertriage by attending physicians, and deaths resulting from potentially preventable causes. Data from patients transported to the designated trauma center and those transported to non-designated trauma centers in Miyazaki were compared. Results: In total, 524 patients were included. The number of patients transported to non-designated trauma centers and the number of non-designated trauma centers receiving patients increased after the second year. We surveyed 469 patient medical records (90%). There were 194 patients with major injuries (41%) and 104 patients with multiple injuries (22%), and 185 patients (39%) received resuscitative interventions. The designated trauma centers received many more patients with trauma (366 vs. 103), including many more patients with major injuries (47% vs. 21%, p < 0.01) and multiple injuries (25% vs. 13%, p < 0.01), than the non-designated trauma centers. The number of patients with major injuries and patients who received resuscitative interventions increased for non-designated trauma centers after the second year. There were 9 secondary transports and 26 deaths. None of these secondary transports resulted from undertriage by staff physicians and none of these deaths resulted from potentially preventable causes. Conclusion: The rural physician-staffed helicopter emergency medical service potentially encouraged non-designated trauma centers to participate in trauma systems while maintaining patient safety.

Factors Associated With Nontransfer in Trauma Patients Meeting American College of Surgeons' Criteria for Transfer at Nontertiary Centers

Importance

Secondary triage from nontertiary centers is vital to trauma system success. It remains unclear what factors are associated with nontransfer among patients who should be considered for transfer to facilities providing higher-level care.

Objective

To identify factors associated with nontransfer among patients meeting American College of Surgeons (ACS) guideline criteria for transfer from nontertiary centers.

Design, Setting, and Participants

A retrospective cohort study was performed using multilevel logistic regression to ascertain factors associated with nontransfer from nontertiary centers, including demographics, injury characteristics, and center resources. With information obtained from the National Trauma Data Bank (January 1, 2007, to December 31, 2012), relative proportion of variance in outcome across centers was determined for patient-level and center-level attributes. In all, 96 528 patients taken to nontertiary centers (levels III, IV, V, and nontrauma centers) that met ACS guideline transfer criteria were eligible for inclusion. Data analysis was performed from March 17, 2016, to May 20, 2016.

Main Outcomes and Measures

The primary outcome was nontransfer from a nontertiary center.

Results

Among 96 528 patients meeting ACS guideline criteria for transfer taken initially to nontertiary centers, 55 611 (57.6%) were male and the median age was 52 years (interquartile range, 28-77 years). Only 19 396 patients (20.1%) underwent transfer. Patient-level factors associated with nontransfer included age older than 65 years (adjusted odds ratio [AOR], 1.70; 95% CI, 1.46-1.98; P < .001), severe chest injury (AOR, 1.63; 95% CI, 1.42-1.89; P < .001), and commercial insurance (vs self-pay: AOR, 1.39; 95% CI, 1.15-1.67; P < .001). Center-level factors associated with nontransfer included larger bed size (>600 vs <200 beds: AOR, 9.22; 95% CI, 7.70-11.05; P < .001), nontrauma center (vs level III centers: AOR, 2.71; 95% CI, 2.44-3.01; P < .001), university affiliation (vs community: AOR, 9.68; 95% CI, 8.03-11.66; P < .001), more trauma surgeons (per surgeon: AOR, 1.08; 95% CI, 1.06-1.09; P < .001), and more neurosurgeons (per surgeon: AOR, 1.25; 95% CI, 1.23-1.28; P < .001). For-profit status was associated with nontransfer at nontrauma centers (AOR, 1.55; 95% CI, 1.39-1.74; P < .001), but not at level III, IV, and V trauma centers. Overall, patient-level factors accounted for 36% and center-level factors accounted for 58% of the variation in transfer practices. Patient-level factors accounted for more variation at level III, IV, and V trauma centers (44%), but less variation at nontrauma centers (13%).

Conclusions and Relevance

Only 1 in 5 patients meeting ACS transfer criteria underwent transfer. Factors associated with nontransfer may be useful for trauma system stakeholders to target education and outreach to guide development of more inclusive trauma systems. Further study is necessary to critically evaluate whether these ACS criteria identify patients who require transfer.

Potential impact of Affordable Care Act-related insurance expansion on trauma care reimbursement

BACKGROUND

Nearly one quarter of trauma patients are uninsured and hospitals recoup less than 20% of inpatient costs for their care. This study examines changes to hospital reimbursement for inpatient trauma care if the full coverage expansion provisions of the Affordable Care Act (ACA) were in effect.

METHODS

We abstracted nonelderly adults (ages 18-64 years) admitted for trauma from the Nationwide Inpatient Sample during 2010-the last year before most major ACA coverage expansion policies. We calculated national and facility-level reimbursements and trauma-related contribution margins using Nationwide Inpatient Sample-supplied cost-to-charge ratios and published reimbursement rates for each payer type. Using US census data, we developed a probabilistic microsimulation model to determine the proportion of pre-ACA uninsured trauma patients that would be expected to gain private insurance, Medicaid, or remain uninsured after full implementation of the ACA. We then estimated the impact of these coverage changes on national and facility-level trauma reimbursement for this population.

RESULTS

There were 145,849 patients (representing 737,852 patients nationwide) included. National inpatient trauma costs for patients aged 18 years to 64 years totaled US $14.8 billion (95% confidence interval [CI], 12.5,17.1). Preexpansion reimbursements totaled US $13.7 billion (95% CI, 10.8-14.7), yielding a national margin of -7.9% (95% CI, -10.6 to -5.1). Postexpansion projected reimbursements totaled US $15.0 billion (95% CI, 12.7-17.3), increasing the margin by 9.3 absolute percentage points to +1.4% (95% CI, -0.3 to +3.2). Of the 263 eligible facilities, 90 (34.2%) had a positive trauma-related contribution margin in 2010, which increased to 171 (65.0%) using postexpansion projections. Those facilities with the highest proportion of uninsured and racial/ethnic minorities experienced the greatest gains.

CONCLUSION

Health insurance coverage expansion for uninsured trauma patients has the potential to increase national reimbursement for inpatient trauma care by over one billion dollars and nearly double the proportion of hospitals with a positive margin for trauma care. These data suggest that insurance coverage expansion has the potential to improve trauma centers' financial viability and their ability to provide care for their communities.

LEVEL OF EVIDENCE

Economic analysis, level II.

The association of patient and trauma characteristics with the health-related quality of life in a Dutch trauma population

Background

It is suggested in literature to use the Health Related Quality of Life (HRQoL) as an outcome indicator for evaluating trauma centre performances. In order to predict HRQoL, characteristics that could be of influence on a predictive model should be identified. This study identifies patient and injury characteristics associated with the HRQoL in a general trauma population.

Methods

Retrospective study of trauma patients admitted from 1st January 2007 through 31th December 2012. Patients were aged ≥18 years and discharged alive from the level I trauma centre. A combined health survey (SF-36 and EQ-5D) was sent to all traceable patients. The subdomain outcomes and EQ-5D index value (EQ-5Di) were compared with the reference population. A linear regression analysis was performed to identify parameters associated parameters with the HRQoL outcome.

Results

A total of 1870 patients were included for analyses. Compared to the eligible population, included patients were significantly older, more severely injured, more often admitted in the ICU and had a longer admission duration.

The SF-36 and EQ-5Di were significantly lower compared to the Dutch reference population.

The variables age, Injury Severity Score, hospital length of stay, ICU length of stay, Revised Trauma Score, probability of survival, and severe injury to the head and extremities were associated with the HRQoL in the majority of the subdomains.

Discussion

In order to use HRQoL as an indicator for trauma centre performances, there should be a consensus of the ideal timing for the measurement of HRQoL post-injury and the appropriate HRQoL instrument. Furthermore, standardised HRQoL outcomes must be developed.

Conclusion

This study revealed eight factors (described above) which could be used to predict the HRQoL in trauma patients.

The Impact of Trauma Care Systems in Low- and Middle-Income Countries

Injury is a leading cause of death globally, and organized trauma care systems have been shown to save lives. However, even though most injuries occur in low- and middle-income countries (LMICs), most trauma care research comes from high-income countries where systems have been implemented with few resource constraints. Little context-relevant guidance exists to help policy makers set priorities in LMICs, where resources are limited and where trauma care may be implemented in distinct ways. We have aimed to review the evidence on the impact of trauma care systems in LMICs through a systematic search of 11 databases. Reports were categorized by intervention and outcome type and summarized. Of 4,284 records retrieved, 71 reports from 32 countries met inclusion criteria. Training, prehospital systems, and overall system organization were the most commonly reported interventions. Quality-improvement, costing, rehabilitation, and legislation and governance were relatively neglected areas. Included reports may inform trauma care system planning in LMICs, and noted gaps may guide research and funding agendas.

Lead-Time Bias and Interhospital Transfer after Injury: Trauma Center Admission Vital Signs Underpredict Mortality in Transferred Trauma Patients

BACKGROUND

Admission physiology predicts mortality after injury, but may be improved by resuscitation before transfer. This phenomenon, which has been termed lead-time bias, may lead to underprediction of mortality in transferred patients and inaccurate benchmarking in centers receiving large numbers of transfer patients. We sought to determine the impact of using vital signs on arrival at the referring center vs on arrival at the trauma center in mortality prediction models for transferred trauma patients.

STUDY DESIGN

We performed a retrospective cohort study using a state-wide trauma registry including all patients age 16 years or older, with Abbreviated Injury Scale scores ≥ 3, admitted to level I and II trauma centers in Pennsylvania, from 2011 to 2014. The primary outcomes measure was the risk-adjusted association between mortality and interhospital transfer (IHT) when adjusting for physiology (as measured by Revised Trauma Score [RTS]) using the referring hospital arrival vital signs (model 1) compared with trauma center arrival vital signs (model 2).

RESULTS

After adjusting for patient and injury factors, IHT was associated with reduced mortality (odds ratio [OR] 0.85; 95% CI 0.77 to 0.93) using the RTS from trauma center admission, but with increased mortality (OR 1.15; 95% CI 1.05 to 1.27) using RTS from the referring hospital. The greater the number of transfer patients seen by a center, the greater the difference in center-level mortality predicted by the 2 models (β -0.044; 95% CI -0.044 to -0.0043; p ≤ 0.001).

CONCLUSIONS

Trauma center vital signs underestimate mortality in transfer patients and may lead to incorrect estimates of expected mortality. Where possible, benchmarking efforts should use referring hospital vital signs to risk-adjust IHT patients.

The Probability of Hospitalizations for Mild-to-Moderate Injuries by Trauma Center Ownership Type

OBJECTIVE

To corroborate anecdotal evidence with systematic evidence of a lower threshold for admission among for-profit hospitals.

DATA SOURCES

The study used Florida emergency department and hospital discharge datasets for 2012 to 2014. The treatment variable of interest was for-profit-designated trauma center status. The dependent variable indicated whether a patient with mild-to-moderate injuries was admitted after presenting as a trauma alert and then discharged to home. A separate analysis was conducted of discharges that had a 1-day length of stay.

STUDY DESIGN

Generalized estimation equations with logistic distribution models were used to control for the confounding influences and developed for four groups of patients: ICISS = 1 (no probability of mortality), ICISS ≥ 0.99, ICISS ≥ 0.95, and ICISS ≥ 0.85 (zero to 15 percent probability of mortality, which includes all mild and moderate injury patients).

PRINCIPAL FINDINGS

For the ICISS = 1 and ICISS ≥ 0.99 models, the centers' for-profit status was the most important predictor. In the ICISS ≥ 0.95 and ICISS ≥ 0.85 models, injury type played a more important role, but for-profit status remained important. For patients with a 1-day stay, for-profit status was associated with an even higher probability of hospitalization.

CONCLUSIONS

Considerable differences exist between for-profit and not-for-profit trauma centers concerning hospitalization among the study population, which may be explained by supplier-induced demand.

Trends in unintentional injury mortality in Canadian children 1950-2009 and association with selected population-level interventions

OBJECTIVES

To examine unintentional injury mortality rates in children (0-19 years) in Canada from 1950 to 2009 against national population-level injury prevention interventions.

METHODS

Injury mortality rates were age and sex adjusted. Changes in trend and level of mortality rates were assessed at pre-specified intervention periods using segmented linear regression analyses for interrupted time series. Maximum likelihood estimation was used with a second order autoregressive error process.

RESULTS

From 1950 to 2009, the overall unintentional injury mortality rate decreased by 86%. Males had consistently higher mortality rates compared to females; however, the standardized rate ratio decreased from 2.37:1 in 1950 to 1.97:1 in 2009. Substantial declines in choking/suffocation deaths were noted in children less than 1 year of age, predominantly during the period 1970-1988 when the Hazardous Products Act and Crib Regulations were implemented. For burns, significant changes in slope were noted comparing 1972-1994 to pre-1971 (introduction of the Hazardous Products Act - Flammability Regulations), where the greatest decline was noted in children ages 1-4 years (Est. = -0.03, 95% CI = -0.02, -0.04). For 15-19 year olds, there was a 408% increase in motor vehicle collision-related mortality rates between 1950 and 1971; however a significant change in slope was noted during the period 1978-1985, compared to 1972-1977 (Est. = -0.10, 95% CI = -0.20, -0.007) across all age groups.

CONCLUSION

While this study is not a cause and effect analysis, there is a strong association with implementation of safety campaigns and legislative changes related to child safety and a dramatic decline in childhood fatalities related to injury.

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.

Demographic Patterns and Outcomes of Patients in Level I Trauma Centers in Three International Trauma Systems

Introduction

Trauma systems were developed to improve the care for the injured. The designation and elements comprising these systems vary across countries. In this study, we have compared the demographic patterns and patient outcomes of Level I trauma centers in three international trauma systems.

Methods

International multicenter prospective trauma registry-based study, performed in the University Medical Center Utrecht (UMCU), Utrecht, the Netherlands, John Hunter Hospital (JHH), Newcastle, Australia, and Harborview Medical Center (HMC), Seattle, the United States. Inclusion: patients ≥18 years, admitted in 2012, registered in the institutional trauma registry.

Results

In UMCU, JHH, and HMC, respectively, 955, 1146, and 4049 patients met the inclusion criteria of which 300, 412, and 1375 patients with Injury Severity Score (ISS) > 15. Mean ISS was higher in JHH (13.5; p < 0.001) and HMC (13.4; p < 0.001) compared to UMCU (11.7). Unadjusted mortality: UMCU = 6.5 %, JHH = 3.6 %, and HMC = 4.8 %. Adjusted odds of death: JHH = 0.498 [95 % confidence interval (CI) 0.303–0.818] and HMC = 0.473 (95 % CI 0.325–0.690) compared to UMCU. HMC compared to JHH was 1.002 (95 % CI 0.664–1.514). Odds of death patients ISS > 15: JHH = 0.507 (95 % CI 0.300–0.857) and HMC = 0.451 (95 % CI 0.297–0.683) compared to UMCU. HMC = 0.931 (95 % CI 0.608–1.425) compared to JHH. TRISS analysis: UMCU: Ws = 0.787, Z = 1.31, M = 0.87; JHH, Ws = 3.583, Z = 6.7, M = 0.89; HMC, Ws = 3.902, Z = 14.6, M = 0.84.

Conclusion

This study demonstrated substantial differences across centers in patient characteristics and mortality, mainly of neurological cause. Future research must investigate whether the outcome differences remain with nonfatal and long-term outcomes. Furthermore, we must focus on the development of a more valid method to compare systems.

Effects of closure of an urban level I trauma centre on adjacent hospitals and local injury mortality: a retrospective, observational study

OBJECTIVE

To determine the association of the Martin Luther King Jr Hospital (MLK) closure on the distribution of admissions on adjacent trauma centres, and injury mortality rates in these centres and within the county.

DESIGN

Observational, retrospective study.

SETTING

Non-public patient-level data from the state of California were obtained for all trauma patients from 1999 to 2009. Geospatial analysis was used to visualise the redistribution of trauma patients to other hospitals after MLK closed. Variance of observed to expected injury mortality using multivariate logistic regression was estimated for the study period.

PARTICIPANTS

A total of 37 131 trauma patients were admitted to the five major south Los Angeles trauma centres from the MLK service area between 1999 and 2009.

MAIN OUTCOME MEASURES

(1) Number and type of trauma admissions to trauma centres in closest proximity to MLK; (2) inhospital injury mortality of trauma patients after the trauma centre closure.

RESULTS

During and after the MLK closure, trauma admissions increased at three of the four nearby hospitals, particularly admissions for gunshot wounds (GSWs). This redistribution of patient load was accompanied by a dramatic change in the payer mix for surrounding hospitals; one hospital's share of uninsured more than tripled from 12.9% in 1999 to 44.6% by 2009. Overall trauma mortality did not significantly change, but GSW mortality steadily and significantly increased after the closure from 5.0% in 2007 to 7.5% in 2009.

CONCLUSIONS

Though local hospitals experienced a dramatic increase in trauma patient volume, overall mortality for trauma patients did not significantly change after MLK closed.

Geographic Variation in Outcome Benefits of Helicopter Transport for Trauma in the United States: A Retrospective Cohort Study

OBJECTIVE

Evaluate the effect of US geographic region on outcomes of helicopter transport (HT) for trauma.

BACKGROUND

HT is an integral component of trauma systems. Evidence suggests that HT is associated with improved outcomes; however, no studies examine the impact of geographic variation on outcomes for HT.

METHODS

Retrospective cohort study of patients undergoing scene HT or ground transport in the National Trauma Databank (2009-2012). Subjects were divided by US census region. HT and ground transport subjects were propensity-score matched based on prehospital physiology and injury severity. Conditional logistic regression was used to evaluate the effect of HT on survival and discharge to home in each region. Region-level characteristics were assessed as potential explanatory factors.

RESULTS

A total of 193,629 pairs were matched. HT was associated with increased odds of survival and discharge to home; however, the magnitude of these effects varied significantly across regions (P < 0.01). The South had the greatest survival benefit (odds ratio: 1.44; 95% confidence interval: 1.39-1.49, P < 0.01) and the Northeast had the greatest discharge to home benefit (odds ratio: 1.29; 95% confidence interval: 1.18-1.41, P < 0.01). A subset of region-level characteristics influenced the effect of HT on each outcome, including helicopter utilization, injury severity, trauma center and helicopter distribution, trauma center access, traffic congestion, and urbanicity (P < 0.05).

CONCLUSIONS

Geographic region impacts the benefits of HT in trauma. Variations in resource allocation partially account for outcome differences. Policy makers should consider regional factors to better assess and allocate resources within trauma systems to optimize the role of HT.

Undertriage of Trauma-Related Deaths in U.S. Emergency Departments

Introduction

Accurate field triage of critically injured patients to trauma centers is vital for improving survival. We sought to estimate the national degree of undertriage of trauma patients who die in emergency departments (EDs) by evaluating the frequency and characteristics associated with triage to non-trauma centers.

Methods

This was a retrospective cross-sectional analysis of adult ED trauma deaths in the 2010 National Emergency Department Sample (NEDS). The primary outcome was appropriate triage to a trauma center (Level I, II or III) or undertriage to a non-trauma center. We subsequently focused on urban areas given improved access to trauma centers. We evaluated the associations of patient demographics, hospital region and mechanism of injury with triage to a trauma versus non-trauma center using multivariable logistic regression.

Results

We analyzed 3,971 included visits, representing 18,464 adult ED trauma-related deaths nationally. Of all trauma deaths, nearly half (44.5%, 95% CI [43.0–46.0]) of patients were triaged to non-trauma centers. In a subgroup analysis, over a third of urban ED visits (35.6%, 95% CI [34.1–37.1]) and most rural ED visits (86.4%, 95% CI [81.5–90.1]) were triaged to non-trauma centers. In urban EDs, female patients were less likely to be triaged to trauma centers versus non-trauma centers (adjusted odds ratio [OR] 0.83, 95% CI [0.70–0.99]). Highest median household income zip codes (≥$67,000) were less likely to be triaged to trauma centers than lowest median income ($1–40,999) (OR 0.54, 95% CI [0.43–0.69]). Compared to motor vehicle trauma, firearm trauma had similar odds of being triaged to a trauma center (OR 0.90, 95% CI [0.71–1.14]); however, falls were less likely to be triaged to a trauma center (OR 0.50, 95 %CI [0.38–0.66]).

Conclusion

We found that nearly half of all trauma patients nationally and one-third of urban trauma patients, who died in the ED, were triaged to non-trauma centers, and thus undertriaged. Sex and other demographic disparities associated with this triage decision represent targeted opportunities to improve our trauma systems and reduce undertriage.

The impact of transfer on pediatric trauma outcomes

BACKGROUND

Recently, concerns have been raised over delays that result from transferring patients to designated trauma centers. This study aimed to assess whether transfer status had an impact on pediatric trauma outcomes.

METHODS

Using a local 1996-2014 pediatric trauma database containing 1541 patients, the following outcomes were tested: death, major complication, time to definitive treatment (TDT), hospital length of stay (LOS), and ICU length of stay (ICU LOS). Logistic, generalized linear, and Poisson regression models were used.

RESULTS

Mortality and complication rates did not differ significantly between direct (mortality=52/1000, complications=54/1000) and transferred (mortality=59/1000; complications=67/1000) patients (mortality aRR: 1.17, 95% CI: 0.76-1.80, p=0.48; complication aRR: 1.13, 95% CI: 0.75-1.70, p=0.57). Transfer status was not a significant predictor of ICU LOS (p=0.72). Transfer status was a significant predictor of time to definitive treatment (transfer x-=17.4h vs. direct x-=2.6h, p=0.0035) and of LOS for severely injured patients (p=0.005). The significant predictors of pediatric trauma mortality were: ISS, transport mode, age, and TDT, and of major complication were ISS and TDT.

CONCLUSIONS

Although transferred patients had longer time to specialized care, there were no significant differences in the mortality or complication rates between transferred and direct patients after adjusting for injury severity.

Geographic distribution of trauma centers and injury-related mortality in the United States

BACKGROUND

Regionalized trauma care improves outcomes; however, access to care is not uniform across the United States. The objective was to evaluate whether geographic distribution of trauma centers correlates with injury mortality across state trauma systems.

METHODS

Level I or II trauma centers in the contiguous United States were mapped. State-level age-adjusted injury fatality rates per 100,000 people were obtained and evaluated for spatial autocorrelation. Nearest neighbor ratios (NNRs) were generated for each state. A NNR less than 1 indicates clustering, while a NNR greater than 1 indicates dispersion. NNRs were tested for difference from random geographic distribution. Fatality rates and NNRs were examined for correlation. Fatality rates were compared between states with trauma center clustering versus dispersion. Trauma center distribution and population density were evaluated. Spatial-lag regression determined the association between fatality rate and NNR, controlling for state-level demographics, population density, injury severity, trauma system resources, and socioeconomic factors.

RESULTS

Fatality rates were spatially autocorrelated (Moran's I = 0.35, p < 0.01). Nine states had a clustered pattern (median NNR, 0.55; interquartile range [IQR], 0.48-0.60), 22 had a dispersed pattern (median NNR, 2.00; IQR, 1.68-3.99), and 10 had a random pattern (median NNR, 0.90; IQR, 0.85-1.00) of trauma center distribution. Fatality rate and NNR were correlated (ρ = 0.34, p = 0.03). Clustered states had a lower median injury fatality rate compared with dispersed states (56.9 [IQR, 46.5-58.9] vs. 64.9 [IQR, 52.5-77.1]; p = 0.04). Dispersed compared with clustered states had more counties without a trauma center that had higher population density than counties with a trauma center (5.7% vs. 1.2%, p < 0.01). Spatial-lag regression demonstrated that fatality rates increased by 0.02 per 100,000 persons for each unit increase in NNR (p < 0.01).

CONCLUSION

Geographic distribution of trauma centers correlates with injury mortality, with more clustered state trauma centers associated with lower fatality rates. This may be a result of access relative to population density. These results may have implications for trauma system planning and require further study to investigate underlying mechanisms.

LEVEL OF EVIDENCE

Therapeutic/care management study, level IV.

Strategic Assessment of Trauma Care Capacity in Ghana

BACKGROUND

This study aimed to assess availability of trauma care technology in Ghana. In addition, factors contributing to deficiencies were evaluated. By doing so, potential solutions to inefficient aspects of health systems management and maladapted technology for trauma care in low- and middle-income countries (LMICs) could be identified.

METHODS

Thirty-two items were selected from the World Health Organization's Guidelines for Essential Trauma Care. Direct inspection and structured interviews with administrative, clinical, and biomedical engineering staff were used to assess the challenges and successes of item availability at 40 purposively sampled district, regional, and tertiary hospitals.

RESULTS

Hospital assessments demonstrated marked deficiencies. Some of these were low cost, such as basic airway supplies, chest tubes, and cervical collars. Item non-availability resulted from several contributing factors, namely equipment absence, lack of training, frequent stock-outs, and technology breakage. A number of root causes for these factors were identified, including ineffective healthcare financing by way of untimely national insurance reimbursements, procurement and stock-management practices, and critical gaps in local biomedical engineering and trauma care training. Nonetheless, local examples of successfully overcoming deficiencies were identified (e.g., public-private partnering, ensuring company engineers trained technicians on-the-job during technology installation or servicing).

CONCLUSION

While availability of several low-cost items could be better supplied by improvements in stock-management and procurement policies, there is a critical need for redress of the national insurance reimbursement system and trauma care training of district hospital staff. Further, developing local service and technical support capabilities is more and more pressing as technology plays an increasingly important role in LMIC healthcare systems.

Assessing Trauma Care Capabilities of the Health Centers in Northern Ghana

INTRODUCTION

Traffic-related injury is a major and increasing cause of global mortality, especially in low- and middle-income countries (LMICs). However, trauma systems, personnel, resources, and infrastructure are frequently insufficient to meet the needs of the population in this at-risk population in LMICs. In addition, these resources are not uniformly distributed, coordinated, nor well described within most countries. Trauma care resources have not previously been characterized in the Northern Region of Ghana.

METHODS

We performed uniform site evaluations and interviews at 92 hospitals in Northern Ghana. Trauma systems, material resources, and human resources were quantified. Equipment was characterized as available in the Emergency Department (ED), in the hospital only, or unavailable. Hospitals were categorized as primary, district, or referral.

RESULTS

Forty-two primary hospitals, 48 district hospitals, 3 regional hospitals, and 1 teaching hospital were surveyed. Over 95 % of hospitals reported having no training or systems for the care of injured patients. Substantial clinical equipment deficits were found at most primary hospitals. In over 90 % of these hospitals, the majority of circulation and monitoring, airway and breathing, and diagnostic imagining resources were not available. Equipment was also frequently unavailable at district and regional hospitals. When available, these resources were infrequently present in the ED.

CONCLUSIONS

Although resources may be unavoidably constrained, there are substantial opportunities to improve the systematic management of trauma care and improve the education of the medical providers regarding care of injured patients in the region studied.

Concurrent Case Review and Retrospective Review Using the Matrix Method are Complementary Methods for Tracking and Improving Timeliness of Care in a Level I Trauma Center

Ensuring timely care for patients with moderate-to-severe traumatic injury has been shown to significantly reduce the rate of injury-related mortality. Using concurrent case review and the matrix method described in the 2014 version of Resources for Optimal Care of the Injured Patient, we sought to reduce direct admissions and undertriage at our institution. We believed this would optimize outcomes for patients who may have been significantly impacted otherwise. Several process improvement initiatives were implemented throughout the study period and we calculated direct admission, overtriage, and undertriage rates bimonthly for evaluation of effectiveness and to intervene, if needed. Direct admission and undertriage rates significantly declined the last six months of our study when compared to baseline (July 2014 to December 2014; 0.80% vs 6.46%, P < 0.001 and 3.72% vs 6.71%, P = 0.002, respectively). In addition, a significant increase was observed in the overtriage rate (64.36% vs 74.20%, P = 0.002).We conclude that when implemented properly, continuous tracking of adherence to triage criteria and retrospective review of fallout cases leads to significant decline in both direct admissions and undertriage, as well as concomitant increase in overtriage.

Effect of an organizational change in a prehospital trauma care protocol and trauma transport directive in a large urban city: a before and after study

BACKGROUND

Trauma systems and regionalized trauma care have been shown to improve outcome in severely injured trauma patients. The aim of this study was to evaluate the implementation of a prehospital trauma care protocol and transport directive, and to determine its effects on the number of primary admissions and secondary trauma transfers in a large Scandinavian city.

METHODS

We performed a retrospective observational study based on local trauma registries and hospital and ambulance records in Stockholm County; patients > 15 years of age with an Injury Severity Score (ISS) > 15 transported to any emergency care hospitals in the Stockholm area were included for the years 2006 and 2008. We also included secondary transferred patients to the regional trauma center during 2006, 2008, and 2013.

RESULTS

A total of 693 primarily admitted trauma patients were included for the years 2006 and 2008. For the years 2006, 2008 and 2013, we included 114 secondarily transported trauma patients. The number of primary patient transports to the trauma center increased during the years by 20.2%, (p < 0.001); patients primarily transported to the trauma center had a significantly higher Injury Severity Score in 2008 than in 2006, and the number of patients transported secondarily to the trauma center in 2006 was higher compared to 2008 and to 2013 (p < 0.001, all 3 years).

DISCUSSION

Our data indicate that implementation of a prehospital trauma care protocol may have an effect on transportation of severely injured trauma patients. A decrease in secondarily transported trauma patients to the regional trauma center was noted after 1 year and persisted at 7 years after the organizational change. Patients primarily admitted to the trauma center after the change had more severe injuries than patients transported to other emergency hospitals in the area even if 20 % of patients were not admitted primarily to a trauma center. This does not imply that the transport directives or the criteria were not followed but rather reveals the difficulties and uncertainties of field triage.

CONCLUSIONS

With the introduction of a prehospital trauma transport directive in a large urban city, an increase in patients transported to the regional trauma center and a decrease in secondary transfers were detected, but a considerable number of severely injured patients were still transported to local hospitals.

Cost-Effectiveness of Field Trauma Triage among Injured Adults Served by Emergency Medical Services

BACKGROUND

The American College of Surgeons Committee on Trauma sets national targets for the accuracy of field trauma triage at ≥95% sensitivity and ≥65% specificity, yet the cost-effectiveness of realizing these goals is unknown. We evaluated the cost-effectiveness of current field trauma triage practices compared with triage strategies consistent with the national targets.

STUDY DESIGN

This was a cost-effectiveness analysis using data from 79,937 injured adults transported by 48 emergency medical services agencies to 105 trauma and nontrauma hospitals in 6 regions of the western United States from 2006 through 2008. Incremental differences in survival, quality-adjusted life years (QALYs), costs, and the incremental cost-effectiveness ratio (costs per QALY gained) were estimated for each triage strategy during a 1-year and lifetime horizon using a decision analytic Markov model. We considered an incremental cost-effectiveness ratio threshold of <$100,000 to be cost-effective.

RESULTS

For these 6 regions, a high-sensitivity triage strategy consistent with national trauma policy (sensitivity 98.6%, specificity 17.1%) would cost $1,317,333 per QALY gained, and current triage practices (sensitivity 87.2%, specificity 64.0%) cost $88,000 per QALY gained, compared with a moderate sensitivity strategy (sensitivity 71.2%, specificity 66.5%). Refining emergency medical services transport patterns by triage status improved cost-effectiveness. At the trauma-system level, a high-sensitivity triage strategy would save 3.7 additional lives per year at a 1-year cost of $8.78 million, and a moderate sensitivity approach would cost 5.2 additional lives and save $781,616 each year.

CONCLUSIONS

A high-sensitivity approach to field triage consistent with national trauma policy is not cost-effective. The most cost-effective approach to field triage appears closely tied to triage specificity and adherence to triage-based emergency medical services transport practices.

Characteristics and Outcomes of Patients Injured in Road Traffic Crashes and Transported by Emergency Medical Services

To investigate the injury characteristics and mortality of patients transported by emergency medical services (EMS) and hospitalized for trauma following a road traffic crash, data obtained from the Trauma Registry System were retrospectively reviewed for trauma admissions between 1 January 2009 and 31 December 2013 in a Level I trauma center. Of 16,548 registered patients, 3978 and 1440 patients injured in road traffic crashes were transported to the emergency department by EMS and non-EMS, respectively. Patients transported by EMS had lower Glasgow coma scale (GCS) scores and worse hemodynamic measures. Compared to patients transported by non-EMS, more patients transported by EMS required procedures (intubation, chest tube insertion, and blood transfusion) at the emergency department. They also sustained a higher injury severity, as measured by the injury severity score (ISS) and the new injury severity score (NISS). Lastly, in-hospital mortality was higher among the EMS than the non-EMS group (1.8% vs. 0.3%, respectively; p < 0.001). However, we found no statistically significant difference in the adjusted odds ratio (AOR) for mortality among patients transported by EMS after adjustment for ISS (AOR 4.9, 95% CI 0.33-2.26), indicating that the higher incidence of mortality was likely attributed to the patients' higher injury severity. In addition, after propensity score matching, logistic regression of 58 well-matched pairs did not show a significant influence of transportation by EMS on mortality (OR: 0.578, 95% CI: 0.132-2.541 p = 0.468).

Helicopter emergency medical services for adults with major trauma

BACKGROUND

Although helicopters are presently an integral part of trauma systems in most developed nations, previous reviews and studies to date have raised questions about which groups of traumatically injured people derive the greatest benefit.

OBJECTIVES

To determine if helicopter emergency medical services (HEMS) transport, compared with ground emergency medical services (GEMS) transport, is associated with improved morbidity and mortality for adults with major trauma.

SEARCH METHODS

We ran the most recent search on 29 April 2015. We searched the Cochrane Injuries Group's Specialised Register, The Cochrane Library (Cochrane Central Register of Controlled Trials; CENTRAL), MEDLINE (OvidSP), EMBASE Classic + EMBASE (OvidSP), CINAHL Plus (EBSCOhost), four other sources, and clinical trials registers. We screened reference lists.

SELECTION CRITERIA

Eligible trials included randomized controlled trials (RCTs) and nonrandomized intervention studies. We also evaluated nonrandomized studies (NRS), including controlled trials and cohort studies. Each study was required to have a GEMS comparison group. An Injury Severity Score (ISS) of at least 15 or an equivalent marker for injury severity was required. We included adults age 16 years or older.

DATA COLLECTION AND ANALYSIS

Three review authors independently extracted data and assessed the risk of bias of included studies. We applied the Downs and Black quality assessment tool for NRS. We analyzed the results in a narrative review, and with studies grouped by methodology and injury type. We constructed 'Summary of findings' tables in accordance with the GRADE Working Group criteria.

MAIN RESULTS

This review includes 38 studies, of which 34 studies examined survival following transportation by HEMS compared with GEMS for adults with major trauma. Four studies were of inter-facility transfer to a higher level trauma center by HEMS compared with GEMS. All studies were NRS; we found no RCTs. The primary outcome was survival at hospital discharge. We calculated unadjusted mortality using data from 282,258 people from 28 of the 38 studies included in the primary analysis. Overall, there was considerable heterogeneity and we could not determine an accurate estimate of overall effect.Based on the unadjusted mortality data from six trials that focused on traumatic brain injury, there was no decreased risk of death with HEMS. Twenty-one studies used multivariate regression to adjust for confounding. Results varied, some studies found a benefit of HEMS while others did not. Trauma-Related Injury Severity Score (TRISS)-based analysis methods were used in 14 studies; studies showed survival benefits in both the HEMS and GEMS groups as compared with MTOS. We found no studies evaluating the secondary outcome, morbidity, as assessed by quality-adjusted life years (QALYs) and disability-adjusted life years (DALYs). Four studies suggested a small to moderate benefit when HEMS was used to transfer people to higher level trauma centers. Road traffic and helicopter crashes are adverse effects which can occur with either method of transport. Data regarding safety were not available in any of the included studies. Overall, the quality of the included studies was very low as assessed by the GRADE Working Group criteria.

AUTHORS' CONCLUSIONS

Due to the methodological weakness of the available literature, and the considerable heterogeneity of effects and study methodologies, we could not determine an accurate composite estimate of the benefit of HEMS. Although some of the 19 multivariate regression studies indicated improved survival associated with HEMS, others did not. This was also the case for the TRISS-based studies. All were subject to a low quality of evidence as assessed by the GRADE Working Group criteria due to their nonrandomized design. The question of which elements of HEMS may be beneficial has not been fully answered. The results from this review provide motivation for future work in this area. This includes an ongoing need for diligent reporting of research methods, which is imperative for transparency and to maximize the potential utility of results. Large, multicenter studies are warranted as these will help produce more robust estimates of treatment effects. Future work in this area should also examine the costs and safety of HEMS, since multiple contextual determinants must be considered when evaluating the effects of HEMS for adults with major trauma.

Prospective Validation of the National Field Triage Guidelines for Identifying Seriously Injured Persons

BACKGROUND

The national field trauma triage guidelines have been widely implemented in US trauma systems, but never prospectively validated. We sought to prospectively validate the guidelines, as applied by out-of-hospital providers, for identifying high-risk trauma patients.

STUDY DESIGN

This was an out-of-hospital prospective cohort study from January 1, 2011 through December 31, 2011 with 44 Emergency Medical Services agencies in 7 counties in 2 states. We enrolled injured patients transported to 28 acute care hospitals, including 7 major trauma centers (Level I and II trauma hospitals) and 21 nontrauma hospitals. The primary exposure term was Emergency Medical Services' use of one or more field triage criteria in the national field triage guidelines. Outcomes included Injured Severity Score ≥16 (primary) and critical resource use within 24 hours of emergency department arrival (secondary).

RESULTS

We enrolled 53,487 injured children and adults transported by Emergency Medical Services to an acute care hospital, 17,633 of which were sampled for the primary analysis; 13.9% met field triage guidelines, 3.1% had Injury Severity Score ≥16, and 1.7% required early critical resources. The sensitivity and specificity of the field triage guidelines were 66.2% (95% CI, 60.2-71.7%) and 87.8% (95% CI, 87.7-88.0%) for Injury Severity Score ≥16 and 80.1% (95% CI, 65.8-89.4%) and 87.3% (95% CI 87.1-87.4%) for early critical resource use. Triage guideline sensitivity decreased with age, from 87.4% in children to 51.8% in older adults.

CONCLUSIONS

The national field triage guidelines are relatively insensitive for identifying seriously injured patients and patients requiring early critical interventions, particularly among older adults.

Strategic assessment of the availability of pediatric trauma care equipment, technology and supplies in Ghana

BACKGROUND

This study aimed to assess the availability of pediatric trauma care items (i.e. equipment, supplies, technology) and factors contributing to deficiencies in Ghana.

METHODS

Ten universal and 9 pediatric-sized items were selected from the World Health Organization's Guidelines for Essential Trauma Care. Direct inspection and structured interviews with administrative, clinical and biomedical engineering staff were used to assess item availability at 40 purposively sampled district, regional and tertiary hospitals in Ghana.

RESULTS

Hospital assessments demonstrated marked deficiencies for a number of essential items (e.g. basic airway supplies, chest tubes, blood pressure cuffs, electrolyte determination, portable X-ray). Lack of pediatric-sized items resulting from equipment absence, lack of training, frequent stock-outs and technology breakage were common. Pediatric items were consistently less available than adult-sized items at each hospital level.

CONCLUSION

This study identified several successes and problems with pediatric trauma care item availability in Ghana. Item availability could be improved, both affordably and reliably, by better organization and planning (e.g. regular assessment of demand and inventory, reliable financing for essential trauma care items). In addition, technology items were often broken. Developing local service and biomedical engineering capability was highlighted as a priority to avoid long periods of equipment breakage.

Alcohol level and injury severity: is the floppy patient myth true?

BACKGROUND

The impact of inebriation on severity of injury is unclear. The few studies to date on this topic are limited to a particular mechanism of injury (MOI), injury pattern, or blood alcohol level (BAL). Therefore, we sought to determine the impact of BAL on injury pattern and severity across all MOI. We hypothesize that there is no relationship between BAL and injury severity when controlling for MOI.

MATERIALS AND METHODS

After institutional review board approval, a retrospective study was performed at an adult trauma center from January 1, 2012-December 31, 2012. All MOI were included. Injury severity was assessed using the injury severity score (ISS). Chi square and analysis of variance were used to examine the relationship between BAL, injury pattern, and ISS within each MOI. Multivariate regression analysis examined the BAL-ISS association adjusting for MOI, gender, and age.

RESULTS

Of 1397 patients, the mean age was 44 ± 19, ISS was 7.5 ± 6.8, BAL was 93 ± 130 mg/dL, and 70% were male. Rib fracture (P = 0.002) and hemothorax and/or pneumothorax (P = 0.0009) were negatively associated with BAL, whereas concussion and soft tissue injury had a positive association with BAL (P < 0.0001). An increasing BAL had a negative correlation with ISS after fall from standing (P < 0.001), whereas bicycle collisions had a positive association (P = 0.027). Across all MOI, there was no significant association between BAL and ISS.

CONCLUSIONS

BAL is associated with ISS, in specific MOI; however, across all MOI, there was no significant association between BAL and ISS. Inebriated patients should be triaged with the same clinical index of suspicion for injury as sober patients.

Assessment of the availability of technology for trauma care in India

BACKGROUND

We sought to assess the status of availability of technology for trauma care in a state in India and to identify factors contributing to both adequate levels of availability and to deficiencies. We also sought to identify potential solutions to deficiencies in terms of health system management and product development.

METHODS

Thirty-two technology-related items were selected from the World Health Organization's Guidelines for Essential Trauma Care. The status of these items was assessed at 43 small and large hospitals in Gujarat State. Site visits utilized direct inspection and interviews with administrative, clinical, and bioengineering staff.

RESULTS

Many specific individual items could be better supplied, including many that were very low cost (e.g., chest tubes). Many deficiencies arose because of mismatch of resources, such as availability of equipment in the absence of personnel trained to use it. Several locally manufactured items were fairly well supplied: pulse oximetry, image intensification, and X-ray machines. Ventilators were often deficient because of inadequate numbers of units and frequent breakdowns.

CONCLUSIONS

Availability of a range of lower-cost items could be improved by better organization and planning, such as: better procurement and stock management; eliminating mismatch of resources, including optimizing training for use of existing resources; and by strengthening service contracts and in-house repair capabilities. From a product development viewpoint, there is a need for lower cost, more durable, and easier to repair ventilators. Promoting increased capacity for local manufacturing should also be considered as a potential method to decrease cost and increase availability of a range of equipment.

Definitive care in level 3 trauma centres after severe injury: A comparison of clinical characteristics and outcomes

BACKGROUND

The role of level 3 trauma centres (TC) in inclusive trauma systems has not been well defined. The absence of nationally recognised inter-facility transfer criteria for inclusive systems has often left individual level 3 TCs to decide upon their own what their spectrum of care is and particularly which severely injured patients to admit for definitive care.

METHODS

Retrospective cohort study in which the principal objective was to compare the characteristics and outcomes of severely injured (injury severity score>15) adult patients (≥18 years) who received definitive care at level 3 centres with severely injured adult patients who were transferred to level 1-2 TCs during the same time period. Data were derived from the National Trauma Data Bank (2010-2011). First, we utilised hierarchical logistic regression models to evaluate the risk-adjusted mortality of patients admitted at level 3 TCs compared to those who were transferred to level 1-2 TCs. Subgroup analysis was carried out for patients with isolated traumatic brain injury (iTBI). Finally, we explored the extent of variation in risk-adjusted mortality across level 3 TCs.

RESULTS

We identified 6433 severely injured patients who received definitive care across 150 level 3 TCs and 41,165 severely injured patients transferred to level 1-2 centres. Patients who received definitive care at level 3 TCs had a lower comorbidity burden and different injury profiles compared to those transferred to level 1-2 centres. There was no difference in crude mortality (10% vs. 11%, standardised difference 0.04); however, after risk-adjustment, the odds of death for patients who received definitive care at level 3 TCs were 1.24-fold higher (95%CI 1.08-1.43) when compared to those transferred to level 1-2 centres. A trend towards a higher likelihood of death at level 3 centres was observed when analysis was limited to patients with iTBI. Risk-adjusted mortality across level 3 TCs was with few exceptions, homogeneous (<10% of level 3 TCs were outliers with higher/lower mortality).

CONCLUSIONS

Level 3 trauma centres are providing definitive care for a subset of severely injured patients. Our findings suggest that the outcomes of severely injured patients admitted at level 3 centres might be worse compared to those transferred to level 1-2 centres; a finding independent of performance outliers. Further work is required to elucidate the determinants of admission after severe injury at level 3 trauma centres.

The selection of diagnostic modalities in the management of pelvic fracture patients requiring transfers

Introduction

Pelvic fractures can result in life-threatening hemorrhages. Therefore, pelvic fracture patients must usually be transferred to a trauma center for additional management. We attempted to analyze transferred pelvic fracture patients to determine which diagnostic modalities to use in different treatment settings.

Materials and methods

From May 1, 2008, to February 28, 2014, patients with pelvic fractures who were transferred from other local hospitals within 24 hours after the trauma were enrolled. We compared the pre-transfer conditions and pelvic X-ray results from the local hospitals between the group of patients that underwent further angioembolization at the trauma center and the group that did not. The role of computed tomography (CT) in the decision-making process (i.e., regarding additional angioembolization) at the different institutions was discussed.

Results

In total, 751 patients were enrolled in the current study. Of the patients who received further angioembolization at the trauma center, 77.6 % (121/156) had sacro-iliac (SI) joint disruption on their pre-transfer pelvic X-ray; this rate was significantly higher than that of the patients who did not undergo further embolization (77.6 % vs. 25.5 %, p < 0.001). There was no significant difference in the use of pre-transfer CT scans at the local hospitals between the patients who underwent angioembolization and those who did not (53.8 % vs. 50.3 %, p = 0.472). Furthermore, of these patients, there was no significant difference in the length of emergency department stay (from arrival to angioembolization) at the trauma center among the patients who underwent pre-transfer CT scans and those who did not (97.4 ± 69.3 minutes vs. 108.6 ± 21.8 minutes, p = 0.461).

Conclusion

When managing patients with pelvic fractures, the more attention should be paid to those with SI joint disruption on pelvic X-ray. Because these patients are more likely to require further angioembolization, they should be transferred earlier. Additional CT may be performed after the patient’s transfer to the trauma center to determine subsequent treatment.

An analysis of the effectiveness of a state trauma system: treatment at designated trauma centers is associated with an increased probability of survival

BACKGROUND

States struggle to continue support for recruitment, funding and development of designated trauma centers (DTCs). The purpose of this study was to evaluate the probability of survival for injured patients treated at DTCs versus nontrauma centers.

METHODS

We reviewed 188,348 patients from the state's hospital discharge database and identified 13,953 severely injured patients admitted to either a DTC or a nontrauma center between 2008 and 2012. DRG International Classification of Diseases-9th Rev. Injury Severity Scores (ICISS), an accepted indicator of injury severity, was assigned to each patient. Severe injury was defined as an ICISS less than 0.85 (indicating ≥15% probability of mortality). Three subgroups of the severely injured patients were defined as most critical, intermediate critical, and least critical. A full information maximum likelihood bivariate probit model was used to determine the differences in the probability of survival for matched cohorts.

RESULTS

After controlling for injury severity, injury type, patient demographics, the presence of comorbidities, as well as insurance type and status, severely injured patients treated at a DTC have a 10% increased probability of survival. The largest improvement was seen in the intermediate subgroup.

CONCLUSION

Treatment of severely injured patients at a DTC is associated with an improved probability of survival. This argues for continued resources in support of DTCs within a defined statewide network.

LEVEL OF EVIDENCE

Epidemiologic study, level III.

Close to home: an analysis of the relationship between location of residence and location of injury

BACKGROUND

Injury surveillance is critical in identifying the need for targeted prevention initiatives. Understanding the geographic distribution of injuries facilitates matching prevention programs with the population most likely to benefit. At the population level, however, the geographic site of injury is rarely known, leading to the use of location of residence as a surrogate. To determine the accuracy of this approach, we evaluated the relationship between the site of injury and of residence over a large geographic area.

METHODS

Data were derived from a population-based, prehospital registry of persons meeting triage criteria for major trauma. Patients dying at the scene or transported to the hospital were included. Distance between locations of residence and of injury was calculated using geographic information system network analysis.

RESULTS

Among 3,280 patients (2005-2010), 88% were injured within 10 miles of home (median, 0.2 miles). There were significant differences in distance between residence and location of injury based on mechanism of injury, age, and hospital disposition. The large majority of injuries involving children, the elderly, pedestrians, cyclists, falls, and assaults occurred less than 10 miles from the patient's residence. Only 77% of motor vehicle collision occurred within 10 miles of the patient's residence.

CONCLUSION

Although the majority of patients are injured less than 10 miles from their residence, the probability of injury occurring "close to home" depends on patient and injury characteristics.

LEVEL OF EVIDENCE

Epidemiologic study, level III.