Trauma care regionalization: a process-outcome evaluation

Optimizing Resources in Children's Surgical Care: An Update on the American College of Surgeons' Verification Program

Surgical procedures are performed in the United States in a wide variety of clinical settings and with variation in clinical outcomes. In May 2012, the Task Force for Children's Surgical Care, an ad hoc multidisciplinary group comprising physicians representing specialties relevant to pediatric perioperative care, was convened to generate recommendations to optimize the delivery of children's surgical care. This group generated a white paper detailing the consensus opinions of the involved experts. Following these initial recommendations, the American College of Surgeons (ACS), Children's Hospital Association, and Task Force for Children's Surgical Care, with input from all related perioperative specialties, developed and published specific and detailed resource and quality standards designed to improve children's surgical care (https://www.facs.org/quality-programs/childrens-surgery/childrens-surgery-verification). In 2015, with the endorsement of the American Academy of Pediatrics (https://pediatrics.aappublications.org/content/135/6/e1538), the ACS established a pilot verification program. In January 2017, after completion of the pilot program, the ACS Children's Surgery Verification Quality Improvement Program was officially launched. Verified sites are listed on the program Web site at https://www.facs.org/quality-programs/childrens-surgery/childrens-surgery-verification/centers, and more than 150 are interested in verification. This report provides an update on the ACS Children's Surgery Verification Quality Improvement Program as it continues to evolve.

Prehospital times and outcomes of patients who had hypotension at the scene after trauma: A nationwide multicentre retrospective study

BACKGROUND

We aimed to investigate the association between prehospital times and outcomes of patients who had hypotension at the scene after trauma incidents.

METHODS

We retrospectively analysed records from a nationwide database (2004-2017) of adults (aged ≥15 years) who were hypotensive (systolic blood pressure <90 mmHg) at the scene after trauma. The endpoint was in-hospital mortality. We used multivariable logistic regression analysis to adjust for confounding factors and to estimate the odds ratio (OR) of prehospital times for in-hospital mortality. Stratified analyses were performed based on patient age and type and severity of the trauma.

RESULTS

Among 5,499 patients included, 906 (16.5%) died in the hospital. The median Injury Severity Score (ISS) was 17 (interquartile range, 9-29). There was a significant trend towards patients having higher in-hospital mortality and ISS when their prehospital times were shorter (P < 0.001). However, the association between prehospital times and in-hospital mortality was not significant after adjusting for confounding factors, with an adjusted odds ratio of 1.00 (95% confidence interval: 0.98-1.01) per 10 min increments in prehospital time. The association remained insignificant when patients were stratified according to age and type and severity of the trauma.

CONCLUSIONS

Our analysis revealed that prehospital time was not significantly associated with in-hospital mortality among patients who had hypotension at the scene after trauma in the current emergency medical service system in Japan. Further studies are needed to validate our findings.

Revision of 'golden hour' for hemodynamically unstable trauma patients: an analysis of nationwide hospital-based registry in Japan

Background

The ‘golden hour’ is a well-known concept, suggesting that shortening time from injury to definitive care is critically important for better outcome of trauma patients. However, there was no established evidence to support it. We aimed to validate the association between time to definitive care and mortality in hemodynamically unstable patients for the current trauma care settings.

Methods

The data were collected from the Japan Trauma Data Bank between 2006 and 2015. The inclusion criteria were patients with systolic blood pressure (SBP) <90 mm Hg and heart rate (HR) >110 beats/min or SBP <70 mm Hg who underwent definitive care within 4 hours from the onset of injury and survived for more than 4 hours. The outcome measure was in-hospital mortality. We evaluated the relationship between time to definitive care and mortality using the generalized additive model (GAM). Subgroup analysis was also conducted using GAM after dividing the patients into the severe (SBP <70 mm Hg) and moderate (SBP ≥70 mm Hg and <90 mm Hg, and HR >110 beats/min) shock group.

Results

1169 patients were enrolled in this study. Of these, 386 (33.0%) died. Median time from injury to definitive care was 137 min. Only 61 patients (5.2%) received definitive care within 60 min. The GAM models demonstrated that mortality remained stable for the early phase, followed by a decrease over time. The severe shock group presented with a paradoxical decline of mortality with time, whereas the moderate shock group had a time-dependent increase in mortality.

Discussion

We did not observe the association of shorter time to definitive care with a decrease in mortality. However, this was likely an offset result of severe and moderate shock groups. The result indicated that early definitive care could have a positive impact on survival outcome of patients with moderate shock.

Level of evidence

Level Ⅳ, prognostic study,

The volume-outcome relationship among severely injured patients admitted to English major trauma centres: a registry study

BACKGROUND

Many countries have centralized and dedicated trauma centres with high volumes of trauma patients. However, the volume-outcome relationship in severely injured patients (Injury Severity Score (ISS) > 15) remains unclear. The aim of this study was to determine the association between hospital volume and outcomes in Major Trauma Centres (MTCs).

METHODS

A retrospective observational cohort study was conducted using the Trauma Audit and Research Network (TARN) consisting of all English Major Trauma Centres (MTCs). Severely injured patients (ISS > 15) admitted to a MTC between 2013 and 2016 were included. The effect of hospital volume on outcome was analysed with random effects logistic regression models with a random intercept for centre and was tested for nonlinearity. Primary outcome was in-hospital mortality.

RESULTS

A total of 47,157 severely injured patients from 28 MTCs were included in this study. Hospital volume varied from 69 to 781 severely injured patients per year. There were small between-centre differences in mortality after adjusting for important demographic and injury severity characteristics (adjusted 95% odds ratio range: 0.99-1.01). Hospital volume was found to be linear and not associated with in-hospital mortality (adjusted odds ratio (aOR) 1.02 per 10 patients, 95% confidence interval (CI) 0.68-1.54, p = 0.92).

CONCLUSIONS

Despite the large variation in volume of the included MTCs, no relationship between hospital volume and outcome of severely injured patients was found. These results suggest that centres with similar structure and processes of care can achieve comparable outcomes in severely injured patients despite the number of severely injured patients they treat.

Epidemiology and outcome of trauma victims admitted in trauma centers of tertiary care hospitals - A multicentric study in India

Background:

Roadside trauma in India is an increasingly significant problem, particularly because of bad roads, irregular road signs, overcrowding, overspeeding, and bad traffic etiquettes. Adequate information on the characteristics of victims, causes of accidents, frequency, vehicles involved, alcohol intake, and outcome of management is essential for understanding and planning for better management.

Aim:

This study aimed to determine the characteristics of trauma (roadside accidents) victims admitted to various trauma centers in India. The purpose of this study is to examine the epidemiology of trauma within a local community in India through data gained from the different emergency centers and to analyze trauma patients to find the predictors that led to the deaths of trauma patients.

Materials and Methods:

The present observational study involved trauma victims over 1-year period in three centers. Demographical details recorded were age, sex, alcohol intake, systolic blood pressure on arrival, respiratory rate, Glasgow Coma Scale (GCS) score, the interval between injury and admission, Injury Severity Score (ISS) risk factors, hospital stay, and outcome.

Results:

A total of 2650 injuries were recorded in 2466 patients. The mean age was 42.45 ± 15.7 years, the mean ISS was 13.82 ± 6.2, and the mean GCS was 12.20 ± 4.1. The mean time to admission at different trauma centres was 48.41 ± 172.8 h. The head injury was the most common (29.52%).

Conclusion:

Road side accidents due to overspeeding was the most common cause whereas driving under the effect of alcohol was the second most common cause. Accidents are common because of bad traffic etiquette on Indian roads.

Prehospital Trauma Scene and Transport Times for Pediatric and Adult Patients

Introduction

Increased out-of-hospital time is associated with worse outcomes in trauma. Sparse literature exists comparing prehospital scene and transport time management intervals between adult and pediatric trauma patients. National Emergency Medical Services guidelines recommend that trauma scene time be less than 10 minutes. The objective of this study was to examine prehospital time intervals in adult and pediatric trauma patients.

Methods

We performed a retrospective cohort study of blunt and penetrating trauma patients in a five-county region in North Carolina using prehospital records. We included patients who were transported emergency traffic directly from the scene by ground ambulance to a Level I or Level II trauma center between 2013–2018. We defined pediatric patients as those less than 16 years old. Urbanicity was controlled for using the Centers for Medicare and Medicaid’s Ambulance Fee Schedule. We performed descriptive statistics and linear mixed-effects regression modeling.

Results

A total of 2179 records met the study criteria, of which 2077 were used in the analysis. Mean scene time was 14.2 minutes (95% confidence interval [CI], 13.9–14.5) and 35.3% (n = 733) of encounters had a scene time of 10 minutes or less. Mean transport time was 17.5 minutes (95% CI, 17.0–17.9). Linear mixed-effects regression revealed that scene times were shorter for pediatric patients (p<0.0001), males (p=0.0016), penetrating injury (p<0.0001), and patients with blunt trauma in rural settings (p=0.005), and that transport times were shorter for males (p = 0.02), non-White patients (p<0.0001), and patients in urban areas (p<0.0001).

Conclusion

This study population largely missed the 10-minute scene time goal. Demographic and patient factors were associated with scene and transport times. Shorter scene times occurred with pediatric patients, males, and among those with penetrating trauma. Additionally, suffering blunt trauma while in a rural environment was associated with shorter scene time. Males, non-White patients, and patients in urban environments tended to have shorter transport times. Future studies with outcomes data are needed to identify factors that prolong out-of-hospital time and to assess the impact of out-of-hospital time on patient outcomes.

Balancing Patient Care and Force Protection at Military Medical Treatment Facilities

Objectives

This study aimed to identify delays of care due to base access security protocols at a stateside military medical treatment facility (MTF) for patients with a time-sensitive medical condition who are seeking emergency medical care at the MTF.

Methods

We retrospectively analyzed emergency medical services (EMS) run reports from January 1, 2017 to November 12, 2017 to hospital access points to assess patients who were initially denied access to the MTF. Time from EMS activation until patient delivery at the emergency department, number of time-sensitive complaints, number of time-sensitive conditions, and number of unauthorized access attempts are reported.

Results

During the 11-month period of review, 42 delays of care related to EMS activation by the sentry at hospital access points were identified. Of the 42, 14 were associated with a time-sensitive complaint, 2 with time-sensitive conditions, and none were unauthorized access attempts.

Conclusion

We identify the potential for patient harm due to delays in care resulting from the security protocols at our MTF. A review of force protection requirements with consideration for their impact on patient safety, especially in cases of time-sensitive conditions, has been conducted.

Comparison of trauma systems in Asian countries: a cross-sectional study

OBJECTIVE

This study aimed to compare the demographic characteristics and trauma service structures and processes of hospitals in 15 countries across the Asia Pacific, and to provide baseline data for the integrated trauma database: the Pan-Asian Trauma Outcomes Study (PATOS).

METHODS

Medical directors and emergency physicians at PATOS-participating hospitals in countries across the Asia Pacific were surveyed through a standardized questionnaire. General information, trauma care system data, and trauma emergency department (ED) outcomes at each hospital were collected by email and analyzed using descriptive statistics.

RESULTS

Survey data from 35 hospitals across 15 countries were collected from archived data between June 2014 and July 2015. Designated trauma centers were identified as the highest hospital level for trauma patients in 70% of surveyed countries. Half of the hospitals surveyed had special teams for trauma care, and almost all prepared activation protocol documents for these teams. Most hospitals offered specialized trauma education programs, and 72.7% of hospitals had a hospital-based trauma registry. The total number of trauma patients visiting the ED across 25 of the hospitals was 300,376. The overall survival-to-discharge rate was 97.2%; however, it varied greatly between 85.1% and 99.7%. The difference between survival-to-discharge rates of moderate and severe injury groups was highest in Taiwan (41.8%) and lowest in Thailand (18.6%).

CONCLUSION

Trauma care systems and ED outcomes vary widely among surveyed hospitals and countries. This information is useful to build further detailed, systematic platforms for trauma surveillance and evidence-based trauma care policies.

Automatic acoustic gunshot sensor technology's impact on trauma care

INTRODUCTION

As cities nation-wide combat gun violence, with less than 20% of shots fired reported to police, use of acoustic gunshot sensor (AGS) technology is increasingly common. However, there are no studies to date investigating whether these technologies affect outcomes for victims of gunshot wounds (GSW). We hypothesized that the AGS technology would be associated with decreased prehospital transport time.

METHODS

All GSW patients from 2014 to 2016 were collected from our institutional registry and cross-referenced with local police department data regarding times and locations of AGS alerts. Each GSW incident was categorized as related or unrelated to an AGS alert. Admission data, trauma outcomes, and prehospital time were then compared.

RESULTS

We analyzed 731 patients. Of these, 192 were AGS-related (26%) and 539 were not (74%). AGS-related patients were more likely to be female (p < 0.01), have a higher injury severity score (ISS) (p < 0.01), and require an operation (p = 0.03). Ventilator days (p < 0.05) and hospital length of stay (p < 0.01) was greater in the AGS cohort. Mortality, however, did not differ between groups (p = 0.5). On multivariable analysis, both total prehospital time and on-scene time were lower in the AGS group (p < 0.01).

CONCLUSION

Our study suggests reduced transport times, decreased prehospital and emergency medical service on-scene times with AGS technology. Additionally, despite higher ISS and use of more hospital resources, mortality was similar to non-AGS counterparts. The potential of AGS technology to further decrease prehospital times in the urban setting may provide an opportunity to improve outcomes in trauma patients with penetrating injuries.

Trauma care before and after optimisation in a level I trauma Centre: Life-saving changes

BACKGROUND

The implementation of trauma systems has led to a significant reduction in mortality and length of hospital stay. In our level I trauma centre, 24/7 in-hospital coverage was implemented, and a renovation of the trauma room took place to improve the trauma care. The aim of the present study was to examine the effect of the optimised in-hospital infrastructure in terms of mortality, processes and clinical outcomes.

METHODS

We performed a retrospective cohort study of prospectively collected data. All adult trauma patients admitted to our trauma centre directly during two time periods (2010-2012 and 2014-2016) were included. Any patients below the age of 18 years and patients who underwent primary trauma screening in another hospital were excluded. Logistic and linear regression were used and adjusted for demographics and characteristics of trauma. The primary endpoint was mortality. The secondary endpoints were subgroups of earlier mortality rates and severely injured patients, processes and clinical outcomes.

RESULTS

In period I, 1290 patients were included, and in period II, 2421. The adjusted mortality in the trauma room (odds ratio (OR): 0.18; CI: 0.05-0.63) and the total in-hospital mortality (OR: 0.63 CI: 0.42-0.95) showed a significant reduction in period II. The trauma room (TR) time decreased by 30 min (p < 0.001), and the time until CT decreased by 22 min (p < 0.001). The number of delayed diagnoses and complications were significantly lower in the second period, with an OR of 0.2 (CI: 0.1-0.2) and 0.4 (CI: 0.3-0.6), respectively. The hospital length of stay and ICU length of stay decreased significantly, -1.5 day (p = 0.010) and -1.8 days (p = 0.022) respectively.

CONCLUSIONS

Optimisation of the in-hospital infrastructure related to trauma care resulted in improved survival rates in both severely injured patients as well as in the whole trauma population. Moreover, the processes and clinical outcomes improved, showing a shorter hospital length of stay, shorter TR time, fewer complications and fewer delayed diagnoses.

Accuracy of Prehospital Triage in Selecting Severely Injured Trauma Patients

Importance

A major component of trauma care is adequate prehospital triage. To optimize the prehospital triage system, it is essential to gain insight in the quality of prehospital triage of the entire trauma system.

Objective

To prospectively evaluate the quality of the field triage system to identify severely injured adult trauma patients.

Design, Setting, and Participants

Prehospital and hospital data of all adult trauma patients during 2012 to 2014 transported with the highest priority by emergency medical services professionals to 10 hospitals in Central Netherlands were prospectively collected. Prehospital data collected by the emergency medical services professionals were matched to hospital data collected in the trauma registry. An Injury Severity Score of 16 or more was used to determine severe injury.

Main Outcomes and Measures

The quality and diagnostic accuracy of the field triage protocol and compliance of emergency medical services professionals to the protocol.

Results

A total of 4950 trauma patients were evaluated of which 436 (8.8%) patients were severely injured. The undertriage rate based on actual destination facility was 21.6% (95% CI, 18.0-25.7) with an overtriage rate of 30.6% (95% CI, 29.3-32.0). Analysis of the protocol itself, regardless of destination facility, resulted in an undertriage of 63.8% (95% CI, 59.2-68.1) and overtriage of 7.4% (95% CI, 6.7-8.2). The compliance to the field triage trauma protocol was 73% for patients with a level 1 indication.

Conclusions and Relevance

More than 20% of the patients with severe injuries were not transported to a level I trauma center. These patients are at risk for preventable morbidity and mortality. This finding indicates the need for improvement of the prehospital triage protocol.

Presence of a pre-hospital enhanced care team reduces on scene time and improves triage compliance for stab trauma

BACKGROUND

A reduction in pre-hospital scene time for patients with penetrating trauma is associated with reduced mortality, when combined with appropriate hospital triage. This study investigated the relationship between presence of pre-hospital enhanced care teams (ECT) (Critical Care Paramedics (CCPS) or Helicopter Emergency Medical Service (HEMS)), on the scene time and triage compliance, of penetrating trauma patients in a UK ambulance service. The primary outcome was whether scene time reduces when an ECT is present. A secondary outcome was whether the presence of an ECT improved compliance with the trust's Major Trauma Decision Tree (MTDT).

METHODS

All suspected penetrating trauma incidents involving a patient's torso were identified from the Trust's computer-aided dispatch (CAD) system between 31st March 2017 and 1st April 2018. Only patients who sustained central penetrating trauma were included. Any incidents involving firearms were excluded due to the prolonged times that can be involved when waiting for specialist police units. Data relevant to scene time for each eligible incident were retrieved, along with the presence or absence of an ECT. The results were analysed to identify trends in the scene times and compliance with the MTDT.

RESULTS

One hundred seventy-one patients met the inclusion criteria, with 165 having complete data. The presence of an ECT improved the median on-scene time in central stabbing by 38% (29m50s vs. 19m0s, p = 0.03). The compliance with the trust's MTDT increased dramatically when an ECT is present (81% vs. 37%, odds ratio 7.59, 95% CI, 3.70-15.37, p < 0.0001).

CONCLUSIONS

The presence of an ECT at a central stabbing incident significantly improved the scene time and triage compliance with a MTDT. Ambulance services should consider routine activation of ECTs to such incidents, with subsequent service evaluation to monitor patient outcomes. Ambulance services should continue to strive to reduce scene times in the context of central penetrating trauma.

Effects of driving distance and transport time on mortality among Level I and II traumas occurring in a metropolitan area

BACKGROUND

The purpose of this study was to evaluate the effects of ambulance driving distance and transport time on mortality among trauma incidents occurring in the City of Chicago, a large metropolitan area.

METHODS

We studied individuals 16 years or older who suffered a Level I or II injury and were taken to a Level I trauma center. The outcome was in-hospital mortality, including those dead on arrival but excluding those deemed dead on scene. Driving distance was calculated from the scene of injury to the trauma center where the patient was taken. Transport time was defined as the time from scene departure to arrival at the trauma center. Covariates included injury severity measures recorded at the scene. Logistic regression and instrumental variable probit regression models were used to examine the association between driving distance, transport time, and mortality, adjusting for injury severity.

RESULTS

A total of 24,834 incidents were analyzed, including 1,464 deaths. Median driving distance was 3.9 miles, and median transport time was 13 minutes. Our findings indicate that increased driving distance is associated with a modest increase in mortality, with a covariate-adjusted odds ratio of 1.12 per 2-mile increase in distance (95% confidence interval [CI], 1.05-1.20). This corresponds to an increase in overall mortality of 0.26 percentage points per 2 miles (95% CI, 0.11-0.40). Using distance as an instrumental variable, we estimate a 0.51 percentage point increase in mortality per 5-minute increase in transport time (95% CI, 0.14-0.89).

CONCLUSION

We find a modest effect of distance on mortality that is approximately linear over a range of 0 to 12 miles. Instrumental variables analysis indicated a corresponding increase in mortality with increasing transport time. Limitations of the study include the possibility of unmeasured confounders and the assumption that distance affects mortality only through its effect on transport time.

LEVEL OF EVIDENCE

Prognostic study, level III.

The Dubrava Model-A Novel Approach in Treating Acutely Neurotraumatized Patients in Rural Areas: A Proposal for Management

Introduction Neurotrauma is one of the leading causes of death and disabilities nowadays and represents one of the largest socioeconomic problems in rich countries, as well as developing ones. A satisfying, medically viable, and cost-effective model of managing acutely neurotraumatized patients, especially ones who come from distant and/or rural areas, has yet to be found. Patient outcome after acute neurotrauma depends on many factors of which the possibility of urgent treatment by an experienced specialist team has a crucial role. Here, we present our own way of managing acutely neurotraumatized patients from distant places which is unique in Croatia, the Dubrava model. Methods We present our 5-year experience cooperating with general hospitals in four neighboring cities (Ĉakovec, Bjelovar, Sisak, and Koprivnica) in managing, operating, and taking care of acutely neurotraumatized patients. Results More than 300 surgeries have been performed in these hospitals through the Dubrava model. Our experience so far provides encouraging results that this system could also be successfully implemented in other institutions. Furthermore, we recorded an increased number of surgeries each year, as well as a good mutual cooperation with the local general hospitals. Discussion This trauma managing model is one of a kind in Croatia. We argue that it is not only better for the patients, providing them with better chances of survival, and disability-free recovery, but is also far superior in many ways to the dominant and currently prevalent way of treating these patients in other parts of Croatia. Conclusion The Dubrava model of treating patients in rural and distant areas is a reliable and proven model with many benefits and as such its implementation should be considered in other institutions as well.

The Golden Hour After Injury Among Civilians Caught in Conflict Zones

Introduction:

The term “golden hour” describes the first 60 minutes after patients sustain injury. In resource-available settings, rapid transport to trauma centers within this time period is standard-of-care. We compared transport times of injured civilians in modern conflict zones to assess the degree to which injured civilians are transported within the golden hour in these environments.

Methods:

We evaluated PubMed, Ovid, and Web of Science databases for manuscripts describing transport time after trauma among civilian victims of trauma from January 1990 to November 2017.

Results:

The initial database search identified 2704 abstracts. Twenty-nine studies met inclusion and exclusion criteria. Conflicts in Yugoslavia/Bosnia/Herzegovina, Syria, Afghanistan, Iraq, Israel, Cambodia, Somalia, Georgia, Lebanon, Nigeria, Democratic Republic of Congo, and Turkey were represented, describing 47 273 patients. Only 7 (24%) manuscripts described transport times under 1 hour. Transport typically required several hours to days.

Conclusion:

Anticipated transport times have important implications for field triage of injured persons in civilian conflict settings because existing overburdened civilian health care systems may become further overwhelmed if in-hospital health capacity is unable to keep pace with inflow of the severely wounded.

Profile of trauma mortality and trauma care resources at rural emergency departments and urban trauma centres in Quebec: a population-based, retrospective cohort study

OBJECTIVES

As Canada's second largest province, the geography of Quebec poses unique challenges for trauma management. Our primary objective was to compare mortality rates between trauma patients treated at rural emergency departments (EDs) and urban trauma centres in Quebec. As a secondary objective, we compared the availability of trauma care resources and services between these two settings.

DESIGN

Retrospective cohort study.

SETTING

26 rural EDs and 33 level 1 and 2 urban trauma centres in Quebec, Canada.

PARTICIPANTS

79 957 trauma cases collected from Quebec's trauma registry.

PRIMARY AND SECONDARY OUTCOME MEASURES

Our primary outcome measure was mortality (prehospital, ED, in-hospital). Secondary outcome measures were the availability of trauma-related services and staff specialties at rural and urban facilities. Multivariable generalised linear mixed models were used to determine the relationship between the primary facility and mortality.

RESULTS

Overall, 7215 (9.0%) trauma patients were treated in a rural ED and 72 742 (91.0%) received treatment at an urban centre. Mortality rates were higher in rural EDs compared with urban trauma centres (13.3% vs 7.9%, p<0.001). After controlling for available potential confounders, the odds of prehospital or ED mortality were over three times greater for patients treated in a rural ED (OR 3.44, 95% CI 1.88 to 6.28). Trauma care setting (rural vs urban) was not associated with in-hospital mortality. Nearly all of the specialised services evaluated were more present at urban trauma centres.

CONCLUSIONS

Trauma patients treated in rural EDs had a higher mortality rate and were more likely to die prehospital or in the ED compared with patients treated at an urban trauma centre. Our results were limited by a lack of accurate prehospital times in the trauma registry.

Impact of Referring Hospital Imaging on Mortality at a Level I Trauma Center

BACKGROUND

Computed tomography (CT) has become a standard adjunct in the evaluation of patients with trauma. However, utility of imaging at the referring hospital remains controversial. We study the effect of CT scans at referring hospitals on in-hospital mortality at a receiving trauma center.

MATERIALS AND METHODS

A retrospective cohort study was performed with adult patients with severe trauma transferred to a level I trauma center from regional nontrauma hospitals between 2012 and 2017. Baseline characteristics were compared with Student's t-test and Pearson's chi-squared testing. The primary endpoint was in-hospital mortality. Cox regression, controlling for transfer time, was used to evaluate the effect of imaging on mortality.

RESULTS

Three thousand four hundred and fifteen adult patients with trauma were included: 1135 (33.2%) received a pretransfer CT scan, whereas 2280 (66.8%) did not. Patients who received a pretransfer CT scan were more likely to be older, female, white, have a higher Charlson Comorbidity Index, less severely injured, have a blunt mechanism, and be transferred by ground. There was no difference in distance (58.3 miles versus 57.0 miles, P = 0.34), but transfer times were significantly increased for those who received pretransfer scans (288 versus 213 min, P < 0.005). The adjusted model controlling for multiple variables has a hazard ratio of 0.533 (95% confidence interval 0.42-0.68, P < 0.005).

CONCLUSIONS

There is a survival advantage for patients who receive pretransfer CT scans despite having significantly longer transport times. We suggest that this decreased mortality associated with pretransfer imaging may reflect improving trends in referring physician transfer decisions.

Logistics of air medical transport: When and where does helicopter transport reduce prehospital time for trauma?

BACKGROUND

Trauma is a time sensitive disease. Helicopter emergency medical services (HEMS) have shown benefit over ground emergency medical services (GEMS), which may be related to reduced prehospital time. The distance at which this time benefit emerges depends on many factors that can vary across regions. Our objective was to determine the threshold distance at which HEMS has shorter prehospital time than GEMS under different conditions.

METHODS

Patients in the Pennsylvania trauma registry 2000 to 2013 were included. Distance between zip centroid and trauma center was calculated using straight-line distance for HEMS and driving distance from geographic information systems network analysis for GEMS. Contrast margins from linear regression identified the threshold distance at which HEMS had a significantly lower prehospital time than GEMS, indicated by nonoverlapping 95% confidence intervals. The effect of peak traffic times and adverse weather on the threshold distance was evaluated. Geographic effects across EMS regions were also evaluated.

RESULTS

A total of 144,741 patients were included with 19% transported by HEMS. Overall, HEMS became faster than GEMS at 7.7 miles from the trauma center (p = 0.043). Helicopter emergency medical services became faster at 6.5 miles during peak traffic (p = 0.025) compared with 7.9 miles during off-peak traffic (p = 0.048). Adverse weather increased the distance at which HEMS was faster to 17.1 miles (p = 0.046) from 7.3 miles in clear weather (p = 0.036). Significant variation occurred across EMS regions, with threshold distances ranging from 5.4 to 35.3 miles. There was an inverse but non-significant relationship between urban population and threshold distance across EMS regions (ρ, -0.351, p = 0.28).

CONCLUSION

This is the first study to demonstrate that traffic, weather, and geographic region significantly impact the threshold distance at which HEMS are faster than GEMS. Helicopter emergency medical services was faster at shorter distances during peak traffic while adverse weather increased this distance. The threshold distance varied widely across geographic region. These factors must be considered to guide appropriate HEMS triage protocols.

LEVEL OF EVIDENCE

Therapeutic, level IV.

Evaluation of reconfigurations of acute stroke services in different regions of England and lessons for implementation: a mixed-methods study

Background

Centralising acute stroke services is an example of major system change (MSC). ‘Hub and spoke’ systems, consisting of a reduced number of services providing acute stroke care over the first 72 hours following a stroke (hubs), with a larger number of services providing care beyond this phase (spokes), have been proposed to improve care and outcomes.

Objective

To use formative evaluation methods to analyse reconfigurations of acute stroke services in different regions of England and to identify lessons that will help to guide future reconfigurations, by studying the following contrasting cases: (1) London (implemented 2010) – all patients eligible for Hyperacute Stroke Units (HASUs); patients admitted 24 hours a day, 7 days a week; (2) Greater Manchester A (GMA) (2010) – only patients presenting within 4 hours are eligible for HASU treatment; one HASU operated 24/7, two operated from 07.00 to 19.00, Monday to Friday; (3) Greater Manchester B (GMB) (2015) – all patients eligible for HASU treatment (as in London); one HASU operated 24/7, two operated with admission extended to the hours of 07.00–23.00, Monday to Sunday; and (4) Midlands and East of England – planned 2012/13, but not implemented.

Design

Impact was studied through a controlled before-and-after design, analysing clinical outcomes, clinical interventions and cost-effectiveness. The development, implementation and sustainability of changes were studied through qualitative case studies, documentation analysis (n = 1091), stakeholder interviews (n = 325) and non-participant observations (n = 92; ≈210 hours). Theory-based framework was used to link qualitative findings on process of change with quantitative outcomes.

Results

Impact – the London centralisation performed significantly better than the rest of England (RoE) in terms of mortality [–1.1%, 95% confidence interval (CI) –2.1% to –0.1%], resulting in an estimated additional 96 lives saved per year beyond reductions observed in the RoE, length of stay (LOS) (–1.4 days, 95% –2.3 to –0.5 days) and delivering effective clinical interventions [e.g. arrival at a Stroke Unit (SU) within 4 hours of ‘clock start’ (when clock start refers to arrival at hospital for strokes occurring outside hospital or the appearance of symptoms for patients who are already in-patients at the time of stroke): London = 66.3% (95% CI 65.6% to 67.1%); comparator = 54.4% (95% CI 53.6% to 55.1%)]. Performance was sustained over 6 years. GMA performed significantly better than the RoE on LOS (–2.0 days, 95% CI –2.8 to –1.2 days) only. GMB (where 86% of patients were treated in HASU) performed significantly better than the RoE on LOS (–1.5 days, 95% CI –2.5 to –0.4 days) and clinical interventions [e.g. SU within 4 hours: GMB = 79.1% (95% CI 77.9% to 80.4%); comparator = 53.4% (95% CI 53.0% to 53.7%)] but not on mortality (–1.3%, 95% CI –2.7% to 0.01%; p = 0.05, accounting for reductions observed in RoE); however, there was a significant effect when examining GMB HASUs only (–1.8%, 95% CI –3.4% to –0.2%), resulting in an estimated additional 68 lives saved per year. All centralisations except GMB were cost-effective at 10 years, with a higher net monetary benefit than the RoE at a willingness to pay for a quality-adjusted life-year (QALY) of £20,000–30,000. Per 1000 patients at 10 years, London resulted in an additional 58 QALYs, GMA resulted in an additional 18 QALYs and GMB resulted in an additional 6 QALYs at costs of £1,014,363, –£470,848 and £719,948, respectively. GMB was cost-effective at 90 days. Despite concerns about the potential impact of increased travel times, patients and carers reported good experiences of centralised services; this relied on clear information at every stage. Planning change – combining top-down authority and bottom-up clinical leadership was important in co-ordinating multiple stakeholders to agree service models and overcome resistance. Implementation – minimising phases of change, use of data, service standards linked to financial incentives and active facilitation of changes by stroke networks was important. The 2013 reforms of the English NHS removed sources of top-down authority and facilitative capacity, preventing centralisation (Midlands and East of England) and delaying implementation (GMB). Greater Manchester’s Operational Delivery Network, developed to provide alternative network facilitation, and London’s continued use of standards suggested important facilitators of centralisation in a post-reform context.

Limitations

The main limitation of our quantitative analysis was that we were unable to control for stroke severity. In addition, findings may not apply to non-urban settings. Data on patients’ quality of life were unavailable nationally, clinical interventions measured changed over time and national participation in audits varied. Some qualitative analyses were retrospective, potentially influencing participant views.

Conclusions

Centralising acute stroke services can improve clinical outcomes and care provision. Factors related to the service model implemented, how change is implemented and the context in which it is implemented are influential in improvement. We recommend further analysis of how different types of leadership contribute to MSC, patient and carer experience during the implementation of change, the impact of change on further clinical outcomes (disability and QoL) and influence of severity of stroke on clinical outcomes. Finally, our findings should be assessed in relation to MSC implemented in other health-care specialties.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Optimizing critical care of the trauma patient at the intermediate care unit: a cost-efficient approach

Background

The aim of this study was to describe the case load, safety, and cost savings of critical care of the trauma patient provided at the surgical intermediate care unit (IMCU).

Methods

This cohort study included all trauma admissions between January 1, 2011 and January 7, 2015 at the general intensive care unit (ICU), stand-alone neuro(surgical) IMCU, and stand-alone (trauma) surgical IMCU. Trauma mechanism, Abbreviated Injury Scale score and Injury Severity Score (ISS), vital signs, laboratory parameters, admission duration, intubation duration, ICU transfer, and in-hospital mortality were prospectively collected. Hypothetical cost savings were calculated using the fixed cost price per IMCU (US$1500) and ICU (US$2500) admission day.

Results

A total of 1320 admissions were included, 675 (51.1%) at the IMCU and 645 (48.9%) at the ICU. Patients admitted at the IMCU had a median ISS of 17 (11, 22). Their median duration of admission was 32.8 hours (18.8, 62.5). At the IMCU, one patient died due to aneurogenic shock. A subsequent ICU transfer was required in 38 (5.6%) IMCU admissions. Of these transfers, four patients died due to neurological deterioration. At the ICU, the median ISS was 22 (14, 30). Nearly all (n=620, 96.3%) ICU trauma patients required mechanical ventilation. Expected total cost savings due to the presence of the IMCU were US$1 772 785.

Discussion

A substantial amount of trauma patients in need of critical care can safely be admitted at the IMCU, without the need for further mechanical ventilation. Thereby, the IMCU could fulfill an essential cost-saving role in the management of severely injured trauma patients.

Level of evidence

Level IV.

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.

Undertriage of major trauma patients at a university hospital: a retrospective cohort study

Background

Studies show increased mortality among severely injured patients not met by trauma team. Proper triage is important to ensure that all severely injured patients receive vital trauma care. In 2017 a new national trauma plan was implemented in Norway, which recommended the use of a modified version of “Guidelines for Field Triage of Injured Patients” to identify severely injured patients.

Methods

A retrospective study of 30,444 patients admitted to Haukeland University Hospital in 2013, with ICD-10 injury codes upon discharge. The exclusion criteria were department affiliation considered irrelevant when identifying trauma, patients with injuries that resulted in Injury Severity Score < 15, patients that did receive trauma team, and patients admitted > 24 h after time of injury. Information from patient records of every severely injured patient admitted in 2013 was obtained in order to investigate the sensitivity of the new guidelines.

Results

Trauma team activation was performed in 369 admissions and 85 patients were identified as major trauma. Ten severely injured patients did not receive trauma team resuscitation, resulting in an undertriage of 10.5%. Nine out of ten patients were men, median age 54 years. Five patients were 60 years or older. All of the undertriaged patients experienced fall from low height (< 4 m). Traumatic brain injury was seen in six patients. Six patients had a Glasgow Coma Scale score ≤ 13. The new trauma activation guidelines had a sensitivity of 95.0% in our 2013 trauma population. The degree of undertriage could have been reduced to 4.0% had the guidelines been implemented and correctly applied.

Conclusions

The rate of undertriage at Haukeland University Hospital in 2013 was above the recommendations of less than 5%. Use of the new trauma guidelines showed increased triage precision in the present trauma population.

Strategic proposal for a national trauma system in France

In this road map for trauma in France, we focus on the main challenges for system implementation, surgical and radiology training and upon innovative training techniques. Regarding system organisation: procedures for triage, designation and certification of trauma centres are mandatory to implement trauma networks on a national scale. Data collection with registries must be created, with a core dataset defined and applied through all registries. Regarding surgical and radiology training, diagnostic-imaging processes should be standardised and the role of the interventional radiologist within the trauma team and the trauma network should be clearly defined. Education in surgery for trauma is crucial and recent changes in medical training in France will promote trauma surgery as a specific sub-specialty. Innovative training techniques should be implemented and be based on common objectives, scenarios and evaluation, so as to improve individual and team performances. The group formulated 14 proposals that should help to structure and improve major trauma management in France over the next 10 years.

Evolution of a level I pediatric trauma center: Changes in injury mechanisms and improved outcomes

BACKGROUND

Trauma is the leading cause of mortality among children, underscoring the need for specialized child-centered care. The impact on presenting mechanisms of injury and outcomes during the evolution of independent pediatric trauma centers is unknown. The aim of this study was to evaluate the impact of our single center transition from an adult to American College of Surgeons-verified pediatric trauma center.

METHODS

A retrospective analysis was performed of 1,190 children who presented as level I trauma activations between 2005 and 2016. Patients were divided into 3 chronological treatment eras: adult trauma center, early pediatric trauma center, and late pediatric trauma center after American College of Surgeons verification review. Comparisons were made using Pearson χ2, Wilcoxon rank sum, and Kruskal-Wallis tests.

RESULTS

The predominant mechanism of injury was motor vehicle crash, with increases noted in assault/abuse (2% adult trauma center, 11% late pediatric trauma center). A decrease in intensive care admissions was identified during late pediatric trauma center compared with early pediatric trauma center and adult trauma center (51% vs 62.4% vs 67%, P < .001), with concomitant increases in admissions to the floor and immediate operative interventions, but overall mortality was unchanged.

CONCLUSION

Transition to a verified pediatric trauma center maintains the safety expected of the American College of Surgeons certification, but with notable changes identified in mechanism of injury and improvements in resource utilization.

Discrete-choice experiment to analyse preferences for centralizing specialist cancer surgery services

Background

Centralizing specialist cancer surgery services aims to reduce variations in quality of care and improve patient outcomes, but increases travel demands on patients and families. This study aimed to evaluate preferences of patients, health professionals and members of the public for the characteristics associated with centralization.

Methods

A discrete‐choice experiment was conducted, using paper and electronic surveys. Participants comprised: former and current patients (at any stage of treatment) with prostate, bladder, kidney or oesophagogastric cancer who previously participated in the National Cancer Patient Experience Survey; health professionals with experience of cancer care (11 types including surgeons, nurses and oncologists); and members of the public. Choice scenarios were based on the following attributes: travel time to hospital, risk of serious complications, risk of death, annual number of operations at the centre, access to a specialist multidisciplinary team (MDT) and specialist surgeon cover after surgery.

Results

Responses were obtained from 444 individuals (206 patients, 111 health professionals and 127 members of the public). The response rate was 52·8 per cent for the patient sample; it was unknown for the other groups as the survey was distributed via multiple overlapping methods. Preferences were particularly influenced by risk of complications, risk of death and access to a specialist MDT. Participants were willing to travel, on average, 75 min longer in order to reduce their risk of complications by 1 per cent, and over 5 h longer to reduce risk of death by 1 per cent. Findings were similar across groups.

Conclusion

Respondents' preferences in this selected sample were consistent with centralization.

Most favour it

A Qualitative Study of Multidisciplinary Providers' Experiences With the Transfer Process for Injured Children and Ideas for Improvement

OBJECTIVE

Most injured children initially present to a community hospital, and many will require transfer to a regional pediatric trauma center. The purpose of this study was 1) to explore multidisciplinary providers' experiences with the process of transferring injured children and 2) to describe proposed ideas for process improvement.

METHODS

This qualitative study involved 26 semistructured interviews. Subjects were recruited from 6 community hospital emergency departments and the trauma and transport teams of a level I pediatric trauma center in New Haven, Conn. Participants (n = 34) included interprofessional providers from sending facilities, transport teams, and receiving facilities. Using the constant comparative method, a multidisciplinary team coded transcripts and collectively refined codes to generate recurrent themes across interviews until theoretical saturation was achieved.

RESULTS

Participants reported that the transfer process for injured children is complex, stressful, and necessitates collaboration. The transfer process was perceived to involve numerous interrelated components, including professions, disciplines, and institutions. The 5 themes identified as areas to improve this transfer process included 1) Creation of a unified standard operating procedure that crosses institutions/teams, 2) Enhancing 'shared sense making' of all providers, 3) Improving provider confidence, expertise, and skills in caring for pediatric trauma transfer cases, 4) Addressing organization and environmental factors that may impede/delay transfer, and 5) Fostering institutional and personal relationships.

CONCLUSIONS

Efforts to improve the transfer process for injured children should be guided by the experiences of and input from multidisciplinary frontline emergency providers.

Distribution of Trauma Care Facilities in Oman in Relation to High-Incidence Road Traffic Injury Sites: Pilot study

Objectives

Road traffic injuries (RTIs) are considered a major public health problem worldwide. In Oman, high numbers of RTIs and RTI-related deaths are frequently registered. This study aimed to evaluate the distribution of trauma care facilities in Oman with regards to their proximity to RTI-prevalent areas.

Methods

This descriptive pilot study analysed RTI data recorded in the national Royal Oman Police registry from January to December 2014. The distribution of trauma care facilities was analysed by calculating distances between areas of peak RTI incidence and the closest trauma centre using Google Earth and Google Maps software (Google Inc., Googleplex, Mountain View, California, USA).

Results

A total of 32 trauma care facilities were identified. Four facilities (12.5%) were categorised as class V trauma centres. Of the facilities in Muscat, 42.9% were ranked as class IV or V. There were no class IV or V facilities in Musandam, Al-Wusta or Al-Buraimi. General surgery, orthopaedic surgery and neurosurgery services were available in 68.8%, 59.3% and 12.5% of the centres, respectively. Emergency services were available in 75.0% of the facilities. Intensive care units were available in 11 facilities, with four located in Muscat. The mean distance between a RTI hotspot and the nearest trauma care facility was 34.7 km; however, the mean distance to the nearest class IV or V facility was 83.3 km.

Conclusion

The distribution and quality of trauma care facilities in Oman needs modification. It is recommended that certain centres upgrade their levels of trauma care in order to reduce RTI-associated morbidity and mortality in Oman.

The Intensive Care Unit Perspective of Becoming a Level I Trauma Center: Challenges of Strategy, Leadership, and Operations Management

The primary purpose of this narrative is to elucidate the numerous significant changes that occur at the intensive care unit (ICU) level as a medical center pursues becoming a Level I trauma center. Specifically, we will focus on the following important areas: (1) leadership and strategy issues behind the decision to move forward with becoming a trauma center; (2) preparation needed to take a highly functioning surgical ICU and align it for the inevitable changes that happen as trauma go-live occurs; (3) intensivist staffing changes; (4) roles for and training of advanced practice practitioners; (5) graduate medical education issues; (6) optimizing interactions with closely related services; (7) nursing, staffing, and training issues; (8) bed allocation issues; and (9) reconciling the advantages of a “unified adult critical care service” with the realities of the central relationship between trauma and surgical critical care.

The Implications of Transfer to an Acute Care Surgical Tertiary Service

Tertiary hospitals are increasingly called on by smaller hospitals and free-standing emergency rooms (ERs) to provide surgical care for complex patients. This study assesses patients transferred to an acute care surgery service. The ER and transfer center logs, as well as billing data, were reviewed for 12 months for all cases evaluated by acute care surgery. The charts were reviewed for demographics, comorbidities, and outcomes. A total of 111 transferred patients with complete data were identified, with 59 transferred from another hospital and 52 from a free-standing ER. The hospital transfer patients were older with more comorbidities, had a longer length of stay, and were more likely discharged to skilled care. There was no difference in the percent of patients requiring a procedure; however, significantly more procedures in the hospital transfer group were done by nonsurgical specialties Better infrastructure to monitor the impact of hospital transfers is warranted in the setting of the complex patient population transferred to tertiary hospitals.

Validating the Use of ICD-9 Code Mapping to Generate Injury Severity Scores

The Injury Severity Score (ISS) is a measure of injury severity widely used for research and quality assurance in trauma. Calculation of ISS requires chart abstraction, so it is often unavailable for patients cared for in nontrauma centers. Whether ISS can be accurately calculated from International Classification of Diseases, Ninth Revision (ICD-9) codes remains unclear. Our objective was to compare ISS derived from ICD-9 codes with those coded by trauma registrars. This was a retrospective study of patients entered into 9 U.S. trauma registries from January 2006 through December 2008. Two computer programs, ICDPIC and ICDMAP, were used to derive ISS from the ICD-9 codes in the registries. We compared derived ISS with ISS hand-coded by trained coders. There were 24,804 cases with a mortality rate of 3.9%. The median ISS derived by both ICDPIC (ISS-ICDPIC) and ICDMAP (ISS-ICDMAP) was 8 (interquartile range [IQR] = 4-13). The median ISS in the registry (ISS-registry) was 9 (IQR = 4-14). The median difference between either of the derived scores and ISS-registry was zero. However, the mean ISS derived by ICD-9 code mapping was lower than the hand-coded ISS in the registries (1.7 lower for ICDPIC, 95% CI [1.7, 1.8], Bland-Altman limits of agreement = -10.5 to 13.9; 1.8 lower for ICDMAP, 95% CI [1.7, 1.9], limits of agreement = -9.6 to 13.3). ICD-9-derived ISS slightly underestimated ISS compared with hand-coded scores. The 2 methods showed moderate to substantial agreement. Although hand-coded scores should be used when possible, ICD-9-derived scores may be useful in quality assurance and research when hand-coded scores are unavailable.

Comparison of trauma care systems in Asian countries: A systematic literature review

OBJECTIVE

The study aims to compare the trauma care systems in Asian countries.

METHODS

Asian countries were categorised into three groups; 'lower middle-income country', 'upper middle-income country' and 'high-income country'. The Medline/PubMed database was searched for articles published from January 2005 to December 2014 using relevant key words. Articles were excluded if they examined a specific injury mechanism, referred to a specific age group, and/or did not have full text available. We extracted information and variables on pre-hospital and hospital care factors, and regionalised system factors and compared them across countries.

RESULTS

A total of 46 articles were identified from 13 countries, including Pakistan, India, Vietnam and Indonesia from lower middle-income countries; the Islamic Republic of Iran, Thailand, China, Malaysia from upper middle-income countries; and Saudi Arabia, the Republic of Korea, Japan, Hong Kong and Singapore from high-income countries. Trauma patients were transported via various methods. In six of the 13 countries, less than 20% of trauma patients were transported by ambulance. Pre-hospital trauma teams primarily comprised emergency medical technicians and paramedics, except in Thailand and China, where they included mainly physicians. In Iran, Pakistan and Vietnam, the proportion of patients who died before reaching hospital exceeded 50%. In only three of the 13 countries was it reported that trauma surgeons were available. In only five of the 13 countries was there a nationwide trauma registry.

CONCLUSION

Trauma care systems were poorly developed and unorganised in most of the selected 13 Asian countries, with the exception of a few highly developed countries.

Trauma system regionalization improves mortality in patients requiring trauma laparotomy

INTRODUCTION

This study evaluates the impact of a regional trauma network (RTN) on patient survival, intensive care unit (ICU) length of stay, and hospital length of stay in patients who required trauma laparotomy.

METHODS

Patients who required trauma laparotomy from January 2008 to December 2013 were analyzed. Patients admitted during 2008-2009 and 2011-2013 were designated as pre-RTN and RTN groups, respectively. The primary outcome was mortality.

RESULTS

A total of 569 patients were analyzed, 231 patients were pre-RTN, and 338 were in the RTN group. Overall, mean age was 35.7 ± 17.1 and median Injury Severity Score was 16 (25th-75th percentile: 9-26). The two groups were similar with regard to age, Injury Severity Score, Abbreviated Injury Scale abdomen, sex, and mechanism. Overall, there was a 35% relative reduction in mortality from the pre-RTN to RTN group (p = 0.035), and 30% more patients were triaged to a Level 1 trauma center in the RTN group (p < 0.001). Logistic regression showed that being in the RTN group was an independent predictor for survival (p = 0.026) with odds ratio of 0.53 (95% confidence interval, 0.30-0.93). Patients with penetrating trauma had a nonsignificant decrease in mortality and a reduction of 1 day of ICU stay (p = 0.001). Patients with blunt trauma had a significant reduction in mortality from 38% in the pre-RTN group to 23% in the RTN group (p = 0.017).

CONCLUSION

This study focused on the unique patient population that required trauma laparotomies. It showed that trauma system regionalization led to a significant increase in the number of patients triaged to a Level 1 trauma center and reduction of ICU length of stay. More importantly, it demonstrated the benefit of regionalization by showing a significant reduction of hospital mortality in this critically injured patient population.

LEVEL OF EVIDENCE

Therapeutic study, level IV.

Big children or little adults? A statewide analysis of adolescent isolated severe traumatic brain injury outcomes at pediatric versus adult trauma centers

BACKGROUND

The appropriate managing center for adolescent trauma patients is debated. We sought to determine whether outcome differences existed for adolescent severe traumatic brain injury (sTBI) patients treated at pediatric versus adult trauma centers. We hypothesized that no difference in mortality, functional status at discharge (FSD), or overall complication rate would be observed between center types.

METHODS

All adolescent trauma patients (aged 15-17 years) presenting with isolated sTBI (head Abbreviated Injury Scale [AIS] score ≥3; all other AIS body region scores ≤2) to accredited Levels I to II trauma centers in Pennsylvania from 2003 to 2015 were extracted from the Pennsylvania Trauma Outcome Study database. Dead on arrival, transfer, and penetrating trauma patients were excluded from analysis. Adult trauma centers were defined as non-pediatirc (PED) (n = 24), whereas standalone pediatric hospitals and adult centers with pediatric affiliation were considered Pediatric (n = 9). Multilevel mixed effects logistic regression models and a generalized linear mixed models assessed the adjusted impact of center type on mortality, overall complications, and FSD. Significance was defined as a p value less than 0.05.

RESULTS

A total of 1,109 isolated sTBI patients aged 15 to 17 years presented over the 13-year study period (non-PED, 685; PED, 424). In adjusted analysis controlling for age, shock index, head AIS, Glasgow Coma Scale motor, trauma center level of managing facility, case volume of managing facility, and injury year, no significant difference in mortality (adjusted odds ratio, 0.82; 95% confidence interval [CI], 0.23-2.86; p = 0.754), FSD (coefficient, -0.85; 95% CI, -2.03 to 0.28; p = 0.136), or total complication rate (adjusted odds ratio, 1.21; 95% CI, 0.43-3.39; p = 0.714) was observed between center types.

CONCLUSION

Although the optimal treatment facility for adolescent patients is frequently debated, patients aged 15 to 17 years presenting with isolated sTBI may experience similar outcomes when managed at pediatric and adult trauma centers.

LEVEL OF EVIDENCE

Epidemiologic study, level III; therapeutic study, level IV.

Reduced Mortality in Severely Injured Patients Using Hospital-based Helicopter Emergency Medical Services in Interhospital Transport

Recent evidence has demonstrated the survival benefits of helicopter transport for trauma patients. The purpose of this study was to evaluate the effectiveness of hospital-based helicopter emergency medical services (H-HEMS) in comparison with ground ambulance transport in improving mortality outcomes in patients with major trauma. Study participants were divided into 2 groups according to type of transport to the trauma center; that is, either via ground emergency medical services (GEMS) or via H-HEMS. The study was conducted from October 2013 to July 2015. Mortality outcomes in the H-HEMS group were compared with those in the GEMS group by using the Trauma and Injury Severity Score (TRISS) analysis. The number of participants finally included in the study was 312. Among these patients, 63 were adult major trauma patients transported via H-HEMS, and 47.6% were involved in traffic accidents. For interhospital transport, the Z and W statistics revealed significantly higher scores in the H-HEMS group than in the GEMS group (Z statistic, 2.02 vs. 1.16; P = 0.043 vs. 0.246; W statistic, 8.87 vs. 2.85), and 6.02 more patients could be saved per 100 patients when H-HEMS was used for transportation. TRISS analysis revealed that the use of H-HEMS for transporting adult major trauma patients was associated with significantly improved survival compared to the use of GEMS.

Does prehospital time affect survival of major trauma patients where there is no prehospital care?

BACKGROUND

Survival after major trauma is considered to be time dependent. Efficient prehospital care with rapid transport is the norm in developed countries, which is not available in many lower middle and low-income countries. The aim of this study was to assess the effect of prehospital time and primary treatment given on survival of major trauma patients in a setting without prehospital care.

MATERIALS AND METHODS

This prospective observational study was carried out in a university hospital in Mumbai, from January to December 2014. The hospital has a trauma service but no organized prehospital care or defined interhospital transfer protocols. All patients with life- and/or limb-threatening injuries were included in the study. Injury time and arrival time were noted and the interval was defined as "prehospital time" for the directly arriving patients and as "time to tertiary care" for those transferred. Primary outcome measure was in-hospital death (or discharge).

RESULTS

Of 1181 patients, 352 were admitted directly from the trauma scene and 829 were transferred from other hospitals. In-hospital mortality was associated with age, mechanism and mode of injury, shock, Glasgow Coma Score <9, Injury Severity Score ≥16, need for intubation, and ventilatory support on arrival; but neither with prehospital time nor with time to tertiary care. Transferred patients had a significantly higher mortality (odds ratio = 1.869, 95% confidence interval = 1.233-2.561, P = 0.005) despite fewer patients with severe injury. Two hundred and ninety-four (35%) of these needed airway intervention while 108 (13%) needed chest tube insertion on arrival to the trauma unit suggesting inadequate care at primary facility.

CONCLUSION

Mortality is not associated with prehospital time but with transfers from primary care; probably due to deficient care. To improve survival after major trauma, enhancement of resources for resuscitation and capacity building of on-duty doctors in primary centers should be a priority in countries with limited resources.

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.

Not all prehospital time is equal: Influence of scene time on mortality

BACKGROUND

Trauma is time sensitive, and minimizing prehospital (PH) time is appealing. However, most studies have not linked increasing PH time with worse outcomes because raw PH times are highly variable. It is unclear whether specific PH time patterns affect outcomes. Our objective was to evaluate the association of PH time interval distribution with mortality.

METHODS

Patients transported by emergency medical services in the Pennsylvania trauma registry from 2000 to 2013 with a total PH time (TPT) of 20 minutes or longer were included. TPT was divided into three PH time intervals: response, scene, and transport time. The number of minutes in each PH time interval was divided by TPT to determine the relative proportion each interval contributed to TPT. A prolonged interval was defined as any one PH interval contributing equal to or greater than 50% of TPT. Patients were classified by prolonged PH interval or no prolonged PH interval (all intervals < 50% of TPT). Patients were matched for TPT, and conditional logistic regression determined the association of mortality with PH time pattern, controlling for confounders. PH interventions were explored as potential mediators, and PH triage criteria used identify patients with time-sensitive injuries.

RESULTS

There were 164,471 patients included. Patients with prolonged scene time had increased odds of mortality (odds ratio, 1.21; 95% confidence interval, 1.02-1.44; p = 0.03). Prolonged response, transport, and no prolonged interval were not associated with mortality. When adjusting for mediators including extrication and PH intubation, prolonged scene time was no longer associated with mortality (odds ratio, 1.06; 95% confidence interval, 0.90-1.25; p = 0.50). Together, these factors mediated 61% of the effect between prolonged scene time and mortality. Mortality remained associated with prolonged scene time in patients with hypotension, penetrating injury, and flail chest.

CONCLUSION

Prolonged scene time is associated with increased mortality. PH interventions partially mediate this association. Further study should evaluate whether these interventions drive increased mortality because they prolong scene time or by another mechanism, as reducing scene time may be a target for intervention.

LEVEL OF EVIDENCE

Prognostic/epidemiologic study, level III.

Annual Hospital Volume and Success of Digital Replantation

BACKGROUND

Digital replantation attempt and success rates have been declining in the United States. Regionalization of digit replantation has been proposed as a solution to improve both attempt and success rates of these procedures. There is limited information about which criteria could establish a hospital as a center specialized for digit replantation. The authors analyzed hospital replantation volume and patient factors associated with successful thumb/finger replantation.

METHODS

A retrospective study using data from the 2008 to 2012 State Inpatient Databases of the Health Care Cost and Utilization Project from five states (New York, California, North Carolina, Utah, and Florida) was performed. The generalized estimating equation method was used to examine the association between patient characteristics and hospital volume and success of thumb/finger replantation. A receiver operating characteristic curve and Youden's J statistic were used to determine annual hospital replantation volume cutoff levels for success rates.

RESULTS

There were 3417 digit amputation injuries, with 631 replantation attempts (18 percent) and with an overall thumb/finger replantation success rate of 70 percent. The hospital annual replantation volume increased the odds of success (OR, 1.06; 95 percent CI, 1.02 to 1.10). The annual hospital volume of three replantations was needed to achieve a success rate of 70 percent.

CONCLUSIONS

Practice patterns demonstrate that hospitals with higher annual volume have greater success. Identifying high-volume centers and regionalization of digit replantation should be considered a priority.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Therapeutic, III.

Development and Validation of the Air Medical Prehospital Triage Score for Helicopter Transport of Trauma Patients

OBJECTIVE

The aim of this study was to develop and internally validate a triage score that can identify trauma patients at the scene who would potentially benefit from helicopter emergency medical services (HEMS).

SUMMARY BACKGROUND DATA

Although survival benefits have been shown at the population level, identification of patients most likely to benefit from HEMS transport is imperative to justify the risks and cost of this intervention.

METHODS

Retrospective cohort study of subjects undergoing scene HEMS or ground emergency medical services (GEMS) in the National Trauma Databank (2007-2012). Data were split into training and validation sets. Subjects were grouped by triage criteria in the training set and regression used to determine which criteria had a survival benefit associated with HEMS. Points were assigned to these criteria to develop the Air Medical Prehospital Triage (AMPT) score. The score was applied in the validation set to determine whether subjects triaged to HEMS had a survival benefit when actually transported by helicopter.

RESULTS

There were 2,086,137 subjects included. Criteria identified for inclusion in the AMPT score included GCS <14, respiratory rate <10 or >29, flail chest, hemo/pneumothorax, paralysis, and multisystem trauma. The optimal cutoff for triage to HEMS was ≥2 points. In subjects triaged to HEMS, actual transport by HEMS was associated with an increased odds of survival (AOR 1.28; 95% confidence interval [CI] 1.21-1.36, P < 0.01). In subjects triaged to GEMS, actual transport mode was not associated with survival (AOR 1.04; 95% CI 0.97-1.11, P = 0.20).

CONCLUSIONS

The AMPT score identifies patients with improved survival following HEMS transport and should be considered in air medical triage protocols.

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.

Traumatic Brain Injury in the Workplace

Objectives: Work-related traumatic brain injuries (TBIs) are not well documented in the literature. Published studies mostly rely on worker databases that fail to provide clinically relevant information. Our objective is to describe the characteristics of hospitalized patients and their work-related TBI. Methods: We used the Québec provincial trauma and TBI program databases to identify all patients with a diagnosis of work-related TBI admitted to the Montreal General Hospital, a level 1 trauma center, between 2000 and 2014. Data from their medical records were extracted using a predetermined information sheet. Simple descriptive statistics (means and percentages) were used to summarize the data. Results: A total of 285 cases were analyzed. Workplace TBI patients were middle-aged (mean, 43.62 years), overwhelmingly male (male:female 18:1), mostly healthy, and had completed a high school level education. Most workers were from the construction industry; falling was the most common mechanism of injury. The majority of patients (76.8%) presented with a mild TBI; only a minority (14%) required neurosurgery. The most common finding on computed tomography was skull fracture. The median length of hospitalization was 7 days, after which most patients were discharged directly home. A total of 8.1% died of their injuries. Conclusions: Our study found that most hospitalized victims of work-related TBI had mild injury; however, some required neurosurgical intervention and a non-negligible proportion died of their injury. Improving fall prevention, accurately document helmet use and increasing the safety practice in the construction industry may help decrease work-related TBI burden.

Joint Replacement Volume Positively Correlates With Improved Hospital Performance on Centers for Medicare and Medicaid Services Quality Metrics

BACKGROUND

The Center for Medicare and Medicaid Services (CMS) is transitioning Medicare from a fee-for-service program into a value-based pay-for-performance program. In order to accomplish this goal, CMS initiated 3 programs that attempt to define quality and seek to reward high-performing hospitals and penalize poor-performing hospitals. These programs include (1) penalties for hospital-acquired conditions (HACs), (2) penalties for excess readmissions for certain conditions, and (3) performance on value-based purchasing (VBP). The objective of this study was to determine whether high-volume total joint hospitals perform better in these programs than their lower-volume counterparts.

METHODS

We analyzed data from the New York Statewide Planning and Research Cooperative System database on total New York State hospital discharges from 2013 to 2015 for total knee and total hip arthroplasty. This was compared to data from Hospital Compare on HAC's, excess readmissions, and VBP. From these databases, we identified 123 hospitals in New York, which participated in all 3 Medicare pay-for-performance programs and performed total joint replacements.

RESULTS

Over the 3-year period spanning 2013-2015, hospitals in New York State performed an average of 1136.59 total joint replacement surgeries and achieved a mean readmission penalty of 0.005909. The correlation coefficient between surgery volume and combined performance score was 0.277. Of these correlations, surgery volume and VBP performance, and surgery volume and combined performance showed statistical significance (P < .01).

CONCLUSION

Our study demonstrates that there is a positive association between joint replacement volumes and overall hospital quality, as well as joint replacement volumes and VBP performance, specifically. These findings are consistent with previously reported associations between patient outcomes and procedure volumes. However, a relationship between joint replacement volume and HAC scores or readmission penalties could not be demonstrated.