The value of trauma center care

Geography of the Underserved: The Contribution of Rural Non-trauma Hospitals to Trauma Care

OBJECTIVE

To determine the proportion and characteristics of injured rural residents treated at urban trauma centers (TCs), urban non-trauma centers (NTCs), rural TCs, and rural NTCs.

SUMMARY BACKGROUND DATA

Timely treatment at a designated TC improves outcomes for patients with serious injuries, but rural residents have limited access to designated TCs. Rural NTCs may constitute an under-recognized source of TC.

METHODS

We used the National Emergency Department Sample to conduct a retrospective, pooled cross-sectional study of ED visits among rural residents with injury severity score (ISS) ≥ 9 (indicating at least moderate injury). Hospitals were designated as TC or NTC and as rural or urban. We compared management, disposition, and outcomes among hospital types.

RESULTS

Of 748,587 injured rural residents from 2016 to 2020, 384,113 (51.3%) were treated in rural NTCs, 232,845 (31.1%) in urban TCs, 116,493 (15.6%) in urban NTCs, and 15,137 (2.0%) in rural TCs. Injuries treated at rural NTCs were moderate in severity (ISS: 9-15) in 76.6% of visits, severe (ISS: 16-25) in 15.7%, and very severe (ISS: >25) in 1.1%. Urban TCs saw the highest proportion of very severe injuries (17.3%). Rural NTCs managed 77.5% of visits definitively, discharging 72.8%. They transferred 21.9% of patients. The length of stay was the longest, and hospital charges were highest for patients treated in urban TCs, which also performed the most procedures. Rural NTCs had the shortest length of stay and lowest mean charges.

CONCLUSIONS

Rural NTCs provided initial care for more than half of injured rural residents, including 2 in 5 of those with the most severe injuries, and managed more than 3 in 4 definitively. These hospitals may be an under-recognized component of the US trauma system.

Prehospital undertriage of older injured patients in western Switzerland: an observational cross-sectional study

BACKGROUND

The ageing of the population is leading to an increase in the number of traumatic injuries and represents a major challenge for the future. Falls represent the leading cause of Emergency department admission in older people, with injuries ranging from minor to severe multiple injuries. Older injured patients are more likely to be undertriaged than younger patients. The aim of this study was to investigate the extent of undertriage in older patients with particular emphasis on access to trauma centres and resuscitation rooms.

METHODS

Retrospective observational cross-sectional study based on data prospectively collected from prehospital electronic records including all patients ≥ 18 years for whom an ambulance or helicopter was dispatched between 1 January 2018 and 31 April 2023 due to a trauma. The primary outcome, admission to the resuscitation room of the regional trauma centre with trauma team activation, was assessed by age. Multivariate logistic regression was used to control for known confounders and to test for plausible effect modifiers.

RESULTS

Emergency Medical Services treated 37,906 injured patients. Older patients ≥ 75 years represented 17,719 patients (47%). Admission to trauma centre with trauma team activation was lower in older patients, N = 121 (1%) compared to N = 599 (5%) in younger patients, p < 0.001; adjusted odds ratio: 0.33 (0.24-0.45); p < 0.001. Undertriage increased by twofold with age ≥ 75; OR: 1.81 (1.04-3.15); p value < 0.001. Undertriaged patients were older, more likely to be female, to have low energy trauma and to be located farther from the regional trauma centre.

CONCLUSION

Older injured patients were at increased risk of undertriage and non-trauma team activation admission, especially if they were older, female, had head injury without altered consciousness and greater distance to regional trauma centre.

Costs of Transfer From Nontrauma to Trauma Centers Among Patients With Minor Injuries

Importance

Nearly half the patients transferred from nontrauma centers to trauma centers have minor injuries, yet trauma center care is not associated with a difference in morality among patients with minor injuries. Consequently, reducing the frequency of such transfers has been postulated as a method to improve resource allocation. Currently, the economic implications of these transfers are not well understood.

Objective

To estimate health care costs associated with the transfer of patients with minor injuries from nontrauma to trauma centers.

Design, Setting, and Participants

This retrospective, population-based cohort study was conducted from April 1, 2009, to March 31, 2020, in Ontario, Canada. Participants included individuals aged 16 years or older who were transferred to a trauma center after presenting to a nontrauma center with a minor injury (survival >24 hours, Injury Severity Score [ISS] <16, and absence of an American College of Surgeons-defined critical injury). Statistical analysis was conducted from March 2022 to June 2024.

Main Outcomes and Measures

The main outcome was total health care costs within 30 days of injury, standardized to 2015 Canadian dollars (CAD$). Propensity scoring was used to match transferred patients with controls admitted to nontrauma centers. Negative binomial models were used to estimate differences in costs between transferred patients and matched controls.

Results

Of the 14 557 patients with minor injuries transferred to a trauma center (mean [SD] age, 48.1 [20.9] years; 5367 female patients [36.9%]; median ISS, 4 [IQR, 2-5]), 12 652 (86.9%) were matched with a control. Thirty days after injury, mean health care costs among transferred patients were CAD$13 540 (95% CI, CAD$13 319-CAD$13 765), a 6.5% (95% CI, 4.4%-8.5%) increase relative to controls (CAD$12 719 [95% CI, CAD$12 582-CAD$12 857]). Half the transferred patients (54.9% [7994 of 14 557]) were admitted, while the remainder were discharged after evaluation in the trauma center emergency department. Among patients admitted to a trauma center, mean 30-day costs were CAD$19 602 (95% CI, CAD$19 294-CAD$19 915), a 54.6% (95% CI, 51.5%-57.8%) increase relative to controls.

Conclusions and Relevance

This cohort study of patients with minor injuries transferred from nontrauma centers to trauma centers found that the transfer of these patients was associated with increased costs to the health care system. Given the high prevalence of such transfers, these findings suggest that the development of systems to support the care of patients with minor injuries at their local hospitals is essential to the sustainability of trauma systems.

Trauma Centre admission criteria for elderly patients

<b>Introduction:</b> Injuries are among the three most common causes of sudden death in Poland, and patients particularly at risk of fatal outcomes of trauma are elderly. Geriatric age is associated with pathological changes that determine a worse response to trauma. In order to improve treatment outcomes of elderly trauma patients, it is essential for them to have access to specialized healthcare units i.e. Trauma Centers (TC). In Poland, admission criteria for TC are determined in the Regulation of the Ministry of Health published in 2010. Those criteria do not include age. According to recent research, such admission criteria lead to undertriage i.e., underestimation of injuries of elderly trauma patients and referred to a healthcare unit of lower reference level.<b>Aim:</b> Analyze the current national admission criteria of elderly trauma patients admitted to TCs.<b>Materials and methods:</b> TC admission criteria were subject to analysis in referral to available scientific publications in the field of medical segregation of elderly trauma patients, available in PubMed, Medline-EBSCO.<b>Results:</b> TC admission criteria in current form are fulfilled only by elderly patients with minimal survival chance. As a result, majority of elderly trauma patients are referred to healthcare units of lower reference level. Those patients are deprived of professional trauma care in TC. Such discrepancies in medical segregation often stem from lack of anatomical changes or shifts in physiological parameters typically observed in trauma patients.<b>Conclusions:</b> It is essential to develop national research to find the optimal system of triage for elderly trauma patient and an adequate tool for appropriate admitted them to TC.

Changes in payer mix of new and established trauma centers: the new trauma center money grab?

Background

Although timely access to trauma center (TC) care for injured patients is essential, the proliferation of new TCs does not always improve outcomes. Hospitals may seek TC accreditation for financial reasons, rather than to address community or geographic need. Introducing new TCs risks degrading case and payer mix at established TCs. We hypothesized that newly accredited TCs would see a disproportionate share of commercially insured patients.

Study design

We collected data from all accredited adult TCs in Pennsylvania using the state trauma registry from 1999 to 2018. As state policy regarding supplemental reimbursement for underinsured patients changed in 2004, we compared patient characteristics and payer mix between TCs established before and after 2004. We used multivariable logistic regression to assess the relationship between payer and presentation to a new versus established TC in recent years.

Results

Over time, there was a 40% increase in the number of TCs from 23 to 38. Of 326 204 patients from 2010 to 2018, a total of 43 621 (13.4%) were treated at 15 new TCs. New TCs treated more blunt trauma and less severely injured patients (p<0.001). In multivariable analysis, patients presenting to new TCs were more likely to have Medicare (OR 2.0, 95% CI 1.9 to 2.1) and commercial insurance (OR 1.6, 95% CI 1.5 to 1.6) compared with Medicaid. Over time, fewer patients at established TCs and more patients at new TCs had private insurance.

Conclusions

With the opening of new centers, payer mix changed unfavorably at established TCs. Trauma system development should consider community and regional needs, as well as impact on existing centers to ensure financial sustainability of TCs caring for vulnerable patients.

Level of evidence

Level III, prognostic/epidemiological.

Does the implementation of a trauma system affect injury-related morbidity and economic outcomes? A systematic review

BACKGROUND

Trauma accounts for a huge burden of disease worldwide. Trauma systems have been implemented in multiple countries across the globe, aiming to link and optimise multiple aspects of the trauma care pathway, and while they have been shown to reduce overall mortality, much less is known about their cost-effectiveness and impact on morbidity.

METHODS

We performed a systematic review to explore the impact the implementation of a trauma system has on morbidity, quality of life and economic outcomes, in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. All comparator study types published since 2000 were included, both retrospective and prospective in nature, and no limits were placed on language. Data were reported as a narrative review.

RESULTS

Seven articles were identified that met the inclusion criteria, all of which reported a pre-trauma and post-trauma system implementation comparison in high-income settings. The overall study quality was poor, with all studies demonstrating a severe risk of bias. Five studies reported across multiple types of trauma patients, the majority describing a positive impact across a variety of morbidity and health economic outcomes following trauma system implementation. Two studies focused specifically on traumatic brain injury and did not demonstrate any impact on morbidity outcomes.

DISCUSSION

There is currently limited and poor quality evidence that assesses the impact that trauma systems have on morbidity, quality of life and economic outcomes. While trauma systems have a fundamental role to play in high-quality trauma care, morbidity and disability data can have large economic and cultural consequences, even if mortality rates have improved. The sociocultural and political context of the surrounding healthcare infrastructure must be better understood before implementing any trauma system, particularly in resource-poor and fragile settings.

PROSPERO REGISTRATION NUMBER

CRD42022348529 LEVEL OF EVIDENCE: Level III.

What trauma patients need: the European dilemma

There is a need for implementation and maturation of an inclusive trauma system in every country in Europe, with patient centered care by dedicated surgeons. This process should be initiated by physicians and medical societies, based on the best available evidence, and supported and subsequently funded by the government and healthcare authorities. A systematic approach to organizing all aspects of trauma will result in health gain in terms of quality of care provided, higher survival rates, better functional outcomes and quality of life. In addition, it will provide reliable data for both research, quality improvement and prevention programs. Severely injured patients need surgeons with broad technical and non-technical competencies to provide holistic, inclusive and compassionate care. Here we describe the philosophy of the surgical approach and define the necessary skills for trauma, both surgical and other, to improve outcome of severely injured patients. As surgery is an essential part of trauma care, surgeons play an important role for the optimal treatment of trauma patients throughout and after their hospital stay, including the intensive care unit (ICU). However, in most European countries, it might not be obvious to either the general public, patients or even the physicians that the surgeon must assume this responsibility in the ICU to optimize outcomes. The aim of this paper is to define key elements in terms of trauma systems, trauma-specific surgical skills and active critical care involvement, to organize and optimize trauma care in Europe.

The predictive value of serum lactate to forecast injury severity in trauma-patients increases taking age into account

BACKGROUND

Two-tier trauma team activation (TTA)-protocols often fail to safely identify severely injured patients. A possible amendment to existing triage scores could be the measurement of serum lactate. The aim of this study was to determine the ability of the combination of serum lactate and age to predict severe injuries (ISS > 15).

METHODS

We conducted a retrospective cohort study in a single level one trauma center in a 20 months study-period and analyzed every trauma team activation (TTA) due to the mechanism of injury (MOI). Primary endpoint was the correlation between serum lactate (and age) and ISS and mortality. The validity of lactate (LAC) and lactate contingent on age (LAC + AGE) were assessed using the area under the curve (AUC) of the receiver operating characteristics (ROC) curve. We used a logistic regression model to predict the probability of an ISS > 15.

RESULTS

During the study period we included 325 patients, 75 met exclusion criteria. Mean age was 43 years (Min.: 11, Max.: 90, SD: 18.7) with a mean ISS of 8.4 (SD: 8.99). LAC showed a sensitivity of 0.82 with a specificity of 0.62 with an optimal cutoff at 1.72 mmol/l to predict an ISS > 15. The AUC of the ROC for LAC was 0.764 (95% CI: 0.67-0.85). The LAC + AGE model provided a significantly improved predictive value compared to LAC (0.765 vs. 0.828, p < 0.001).

CONCLUSIONS

The serum lactate concentration is able to predict injury severity. The prognostic value improves significantly taking the patients age into consideration. The combination of serum lactate and age could be a suitable Ad-on to existing two-tier triage protocols to minimize undertriage.

LEVEL OF EVIDENCE

Level IV, retrospective cohort study.

Disparities in trauma care education: An observational study of the ATLS course within a national trauma system

BACKGROUND

Disparities in trauma systems, including gaps between trauma center levels, affect patient outcomes. Advanced Trauma Life Support (ATLS) is a standard method of care that improves the performance of lower-level trauma systems. We sought to study potential gaps in ATLS education within a national trauma system.

METHODS

This prospective observational study examined the characteristics of 588 surgical board residents and fellows taking the ATLS course. The course is required for board certification in adult trauma specialties (general surgery, emergency medicine, and anesthesiology), pediatric trauma specialties (pediatric emergency medicine and pediatric surgery), and trauma consulting specialties (all other surgical board specialties). We compared the differences in course accessibility and success rates within a national trauma system which includes seven level 1 trauma centers (L1TC) and twenty-three non-level 1 hospitals (NL1H).

RESULTS

Resident and fellow students were 53% male, 46% employed in L1TC, and 86% were in the final stages of their specialty program. Only 32% were enrolled in adult trauma specialty programs. Students from L1TC had a 10% higher ATLS course pass rate than NL1H (p = 0.003). Trauma center level was associated with higher odds to pass the ATLS course, even after adjustment to other variables (OR = 1.925 [95% CI = 1.151 to 3.219]). Compared to NL1H, the course was two-three times more accessible to students from L1TC and 9% more accessible to adult trauma specialty programs (p = 0.035). The course was more accessible to students at early levels of training in NL1H (p < 0.001). Female students and trauma consulting specialties enrolled in L1TC programs were more likely to pass the course (OR = 2.557 [95% CI = 1.242 to 5.264] and 2.578 [95% CI = 1.385 to 4.800], respectively).

CONCLUSIONS

Passing the ATLS course is affected by trauma center level, independent of other student factors. Educational disparities between L1TC and NL1H include ATLS course access for core trauma residency programs at early training stages. Some gaps are more pronounced among consulting trauma specialties and female surgeons. Educational resources should be planned to favor lower-level trauma centers, specialties dealing in trauma care, and residents early in their postgraduate training.

Activation and On-Scene Intervals for Severe Trauma EMS Interventions: An Analysis of the NEMSIS Database

Objective: Time to care is a determinant of trauma patient outcomes, and timely delivery of trauma care to severely injured patients is critical in reducing mortality. Numerous studies have analyzed access to care using prehospital intervals from a Carr et al. meta-analysis of studies from 1975 to 2005. Carr et al.'s research sought to determine national mean activation and on-scene intervals for trauma patients using contemporary emergency medical services (EMS) records. Since the Carr et al. meta-analysis was published, the National Highway Traffic Safety Administration (NHTSA) created and refined the National Emergency Medical Services Information System (NEMSIS) database. We sought to perform a modern analysis of prehospital intervals to establish current standards and temporal patterns.Methods: We utilized NEMSIS to analyze EMS data of trauma patients from 2016 to 2019. The dataset comprises more than 94 million EMS records, which we filtered to select for severe trauma and stratified by type of transport and rurality to calculate mean activation and on-scene intervals. Furthermore, we explored the impact of basic life support (BLS) and advanced life support (ALS) of ground units on activation and on-scene time intervals.Results: Mean activation and on-scene intervals for ground transport were statistically different when stratified by rurality. Urban, suburban, and rural ground activation intervals were 2.60 ± 3.94, 2.88 ± 3.89, and 3.33 ± 4.58 minutes, respectively. On-scene intervals were 15.50 ± 10.46, 17.56 ± 11.27, and 18.07 ± 16.13 minutes, respectively. Mean helicopter transport activation time was 13.75 ± 7.44 minutes and on-scene time was 19.42 ± 16.09 minutes. This analysis provides an empirically defined mean for activation and on-scene times for trauma patients based on transport type and rurality. Results from this analysis proved to be significantly longer than the previous analysis, except for helicopter transport on-scene time. Shorter mean intervals were seen in ALS compared to BLS for activation intervals, however ALS on-scene intervals were marginally longer than BLS.Conclusions: With the increasing sophistication of geospatial technologies employed to analyze access to care, these intervals are the most accurate and up-to-date and should be included in access to care models.

The Impact of Relocating a Trauma Center: Observations on Patient Injury Demographics and Resident Volumes

Introduction Changing the physical zip code location of an academic trauma center may affect the distribution and surgical volume of its trauma patients. General surgical residency case log requirements may also be affected. This study describes the impact of moving a level I trauma center to a different zip code location, on the hospital and resident trauma case volumes. Methods This retrospective analysis included all patients within the local trauma registry across two fiscal years representing the pre- and post-move timeframes. Variables collected included patient basic sociodemographic and injury information, trauma activation level and transfer status, management (operative management [OPM] versus non-operative management [NOPM]), and resident case logs. Results During fiscal years 2016-2017 and 2017-2018, 3,025 patients were included. Pre-move and post-move trauma volumes were 1,208 and 1,817 respectively. Post-move changes demonstrated differences in basic sociodemographics, with differences in age (six years older), a shift toward white and away from black (12.89%), and males being seen more frequently (11.87%). Injury severity score distribution shifted (7.72%) towards less severe trauma scores (<15), the percentage of patients with blunt trauma (4.19%) and falls increased (ground level and greater than 1 meter, 9.78%) while the number of patients considered full activations were decreased (15.67%). Proportions of OPM and NOPM trauma cases remained unchanged with the exception of a reduction in emergent operative trauma (3.1%). Resident case logs requirements were met both pre- and post-move. Conclusion Relocating the trauma center to a different zip code location did not negatively impact our resident case volumes. Total trauma volumes were increased, with a shift in the demographics and severity distribution of injuries.

Trauma provision in South-West Nigeria: Epidemiology, challenges and priorities

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This article highlights the epidemiology of trauma and common challenges of trauma provision in the region.

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It elucidates the urgent need to improve trauma care in Nigeria and other African countries.

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Furthermore, it advocates for the development of a regionalised trauma system and centralised trauma registry amongst others.

Trauma is a crucial public health problem that has been overlooked by developing countries including Nigeria. It has led to a worsening trauma trend as recent data suggests. The South-West Region of Nigeria remains one of the regions with the most injury prevalence. Since the introduction of the trauma system over half a century ago, regionalised trauma systems have become increasingly effective in changing the dynamics of trauma care and outcomes. However, similar to most developing countries trauma system is yet to be established in any region in Nigeria. This is also met by a lack of a centralised trauma registry, poor implementation of primary prevention practices, an informal prehospital care system, and poorly organised in-hospital care for trauma victims. Reversing these challenges could be a propelling force to the revolution of trauma provision in the region and extension to the nation, Africa, and other developing countries. Nevertheless, the stakeholders such as the government, legislature, Non-Governmental-Organisations, law-enforcement agencies, healthcare institutions, trauma experts, and the public have a huge role.

Severe isolated injuries have a high impact on resource use and mortality: a Dutch nationwide observational study

PURPOSE

The Berlin poly-trauma definition (BPD) has proven to be a valuable way of identifying patients with at least a 20% risk of mortality, by combining anatomical injury characteristics with the presence of physiological risk factors (PRFs). Severe isolated injuries (SII) are excluded from the BPD. This study describes the characteristics, resource use and outcomes of patients with SII according to their injured body region, and compares them with those included in the BPD.

METHODS

Data were extracted from the Dutch National Trauma Registry between 2015 and 2019. SII patients were defined as those with an injury with an Abbreviated Injury Scale (AIS) score ≥ 4 in one body region, with at most minor additional injuries (AIS ≤ 2). We performed an SII subgroup analysis per AIS region of injury. Multivariable linear and logistic regression models were used to calculate odds ratios (ORs) for SII subgroup patient outcomes, and resource needs.

RESULTS

A total of 10.344 SII patients were included; 47.8% were ICU admitted, and the overall mortality was 19.5%. The adjusted risk of death was highest for external (2.5, CI 1.9-3.2) and for head SII (2.0, CI 1.7-2.2). Patients with SII to the abdomen (2.3, CI 1.9-2.8) and thorax (1.8, CI 1.6-2.0) had a significantly higher risk of ICU admission. The highest adjusted risk of disability was recorded for spine injuries (10.3, CI 8.3-12.8). The presence of ≥ 1 PRFs was associated with higher mortality rates compared to their poly-trauma counterparts, displaying rates of at least 15% for thoracic, 17% for spine, 22% for head and 49% for external SII.

CONCLUSION

A severe isolated injury is a high-risk entity and should be recognized and treated as such. The addition of PRFs to the isolated anatomical injury criteria contributes to the identification of patients with SII at risk of worse outcomes.

Performance-Based Assessment of Trauma Systems: Estimates for the State of Ohio

OBJECTIVES

There are no widely accepted metrics to determine the optimal number and geographic distribution of trauma centers (TCs). We propose a Performance-based Assessment of Trauma System (PBATS) model to optimize the number and distribution of TCs in a region using key performance metrics.

METHODS

The proposed PBATS approach relies on well-established mathematical programming approach to minimize the number of level I (LI) and level II (LII) TCs required in a region, constrained by prespecified system-related under-triage (srUT) and over-triage (srOT) rates and TC volume. To illustrate PBATS, we collected 6002 matched (linked) records from the 2012 Ohio Trauma and EMS registries. The PBATS-suggested network was compared to the 2012 Ohio network and also to the configuration proposed by the Needs-Based Assessment of Trauma System (NBATS) tool.

RESULTS

For this data, PBATS suggested 14 LI/II TCs with a slightly different geographic distribution compared to the 2012 network with 21 LI and LII TC, for the same srUT≈.2 and srOT≈.52. To achieve UT ≤ .05, PBATS suggested 23 LI/II TCs with a significantly different distribution. The NBATS suggested fewer TCs (12 LI/II) than the Ohio 2012 network.

CONCLUSION

The PBATS approach can generate a geographically optimized network of TCs to achieve prespecified performance characteristics such as srUT rate, srOT rate, and TC volume. Such a solution may provide a useful data-driven standard, which can be used to drive incremental system changes and guide policy decisions.

Interfacility Transfers for Isolated Craniomaxillofacial Trauma: Perspectives of the Facial Trauma Surgeon

STUDY DESIGN

Secondary overtriage is a burden to the medical system. Unnecessary transfers overload trauma centers, occupy emergency transfer resources, and delay definitive patient care. Craniomaxillofacial (CMF) trauma, especially in isolation, is a frequent culprit.

OBJECTIVE

The aim of this study is to assess the perspectives of facial trauma surgeons regarding the interfacility transfer of patients with isolated CMF trauma.

METHODS

A 31-item survey was developed using Likert-type scale and open-ended response systems. Internal consistency testing among facial trauma surgeons yielded a Cronbach's α calculation of .75. The survey was distributed anonymously to the American Society of Maxillofacial Surgeons, the North American Division of AO Craniomaxillofacial, and the American Academy of Facial Plastic and Reconstructive Surgery. Statistical significance in response plurality was determined by nonoverlapping 99.9% confidence intervals (P < .001). Sum totals were reported as means with standard deviations and z scores with P values of less than .05 considered significant.

RESULTS

The survey yielded 196 responses. Seventy-seven percent of respondents did not believe that most isolated CMF transfers required emergency surgery and roughly half (49%) thought that most emergency transfers were unnecessary. Fifty-four percent of respondents agreed that most patients transferred could have been referred for outpatient management and 87% thought that transfer guidelines could help decrease unnecessary transfers. Twenty-seven percent of respondents had no pre-transfer communication with the referring facility. Perspectives on the transfer of specific fracture patterns and their presentations were also collected.

CONCLUSION

Most facial trauma surgeons in this study believe that emergent transfer for isolated CMF trauma is frequently unnecessary. Such injuries rarely require emergent surgery and can frequently be managed in the outpatient setting without activating emergency transfer services. The fracture-specific data collected are a representation of the national, multidisciplinary opinion of facial trauma surgeons and correlate with previously published data on which specific types of facial fractures are most often transferred unnecessarily. The results of this study can serve as the foundation for interfacility transfer guidelines, which may provide a valuable resource in triaging transfers and decreasing associated health-care costs.

Under-triage of older trauma patients in prehospital care: a systematic review

Aim

The systematic review aimed to assess the under-triage rate for older trauma patients in prehospital care and its impact on their outcomes.

Findings

Older trauma patients were significantly under-triaged in prehospital care and the benefits of triaging these patients to Tauma Centres (TCs) are still uncertain. Current triage criteria and developed geriatric-specific criteria lacked acceptable accuracy and when patients met the criteria, they had a low chance of being transported to TCs.

Message

Future worldwide research is needed to assess the following aspects: (1) the accuracy of current trauma triage criteria, (2) developing more accurate triage criteria, (3) destination compliance rates for patients meeting the triage criteria, (4) factors leading to destination non-compliance and their impact on outcomes, and (5) the benefits of TC access for older trauma patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-021-00512-5.

Background

It is argued that many older trauma patients are under-triaged in prehospital care which may adversely affect their outcomes. This systematic review aimed to assess prehospital under-triage rates for older trauma patients, the accuracy of the triage criteria, and the impact of prehospital triage decisions on outcomes.

Methods

A computerised literature search using MEDLINE, Scopus, and CINHAL databases was conducted for studies published between 1966 and 2021 using a list of predetermined index terms and their associated alternatives. Studies which met the inclusion criteria were included and critiqued using the Critical Appraisal Skills Programme tool. Due to the heterogeneity of the included studies, narrative synthesis was used in this systematic review.

Results

Of the 280 identified studies, 23 met the inclusion criteria. Current trauma triage guidelines have poor sensitivity to identify major trauma and the need for TC care for older adults. Although modified triage tools for this population have improved sensitivity, they showed significantly decreased specificity or were not applied to all older people. The issue of low rates of TC transport for positively triaged older patients is not well understood. Furthermore, the benefits of TC treatment for older patients remain uncertain.

Conclusions

This systematic review showed that under-triage is an ongoing issue for older trauma patients in prehospital care and its impact on their outcomes is still uncertain. Further high-quality prospective research is needed to assess the accuracy of prehospital triage criteria, the factors other than the triage criteria that affect transport decisions, and the impact of under-triage on outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-021-00512-5.

Trauma resource pit stop: increasing efficiency in the evaluation of lower severity trauma patients

Background

Overtriage of trauma patients is unavoidable and requires effective use of hospital resources. A 'pit stop' (PS) was added to our lowest tier trauma resource (TR) triage protocol where the patient stops in the trauma bay for immediate evaluation by the emergency department (ED) physician and trauma nursing. We hypothesized this would allow for faster diagnostic testing and disposition while decreasing cost.

Methods

We performed a before/after retrospective comparison after PS implementation. Patients not meeting trauma activation (TA) criteria but requiring trauma center evaluation were assigned as a TR for an expedited PS evaluation. A board-certified ED physician and trauma/ED nurse performed an immediate assessment in the trauma bay followed by performance of diagnostic studies. Trauma surgeons were readily available in case of upgrade to TA. We compared patient demographics, Injury Severity Score, time to physician evaluation, time to CT scan, hospital length of stay, and in-hospital mortality. Comparisons were made using 95% CI for variance and SD and unpaired t-tests for two-tailed p values, with statistical difference, p<0.05.

Results

There were 994 TAs and 474 TRs in the first 9 months after implementation. TR's preanalysis versus postanalysis of the TR group shows similar mean door to physician evaluation times (6.9 vs. 8.6 minutes, p=0.1084). Mean door to CT time significantly decreased (67.7 vs. 50 minutes, p<0.001). 346 (73%) TR patients were discharged from ED; 2 (0.4%) were upgraded on arrival. When admitted, TR patients were older (61.4 vs. 47.2 years, p<0.0001) and more often involved in a same-level fall (59.5% vs. 20.1%, p<0.0001). Undertriage was calculated using the Cribari matrix at 3.2%.

Discussion

PS implementation allowed for faster door to CT time for trauma patients not meeting activation criteria without mobilizing trauma team resources. This approach is safe, feasible, and simultaneously decreases hospital cost while improving allocation of trauma team resources.

Level of evidence

Level II, economic/decision therapeutic/care management study.

The impact of regionalized trauma care on the distribution of severely injured patients in the Netherlands

Background

Twenty years ago, an inclusive trauma system was implemented in the Netherlands. The goal of this study was to evaluate the impact of structured trauma care on the concentration of severely injured patients over time.

Methods

All severely injured patients (Injury Severity Score [ISS] ≥ 16) documented in the Dutch Trauma Registry (DTR) in the calendar period 2008–2018 were included for analysis. We compared severely injured patients, with and without severe neurotrauma, directly brought to trauma centers (TC) and non-trauma centers (NTC). The proportion of patients being directly transported to a trauma center was determined, as was the total Abbreviated Injury Score (AIS), and ISS.

Results

The documented number of severely injured patients increased from 2350 in 2008 to 4694 in 2018. During this period, on average, 70% of these patients were directly admitted to a TC (range 63–74%). Patients without severe neurotrauma had a lower chance of being brought to a TC compared to those with severe neurotrauma. Patients directly presented to a TC were more severely injured, reflected by a higher total AIS and ISS, than those directly transported to a NTC.

Conclusion

Since the introduction of a well-organized trauma system in the Netherlands, trauma care has become progressively centralized, with more severely injured patients being directly presented to a TC. However, still 30% of these patients is initially brought to a NTC. Future research should focus on improving pre-hospital triage to facilitate swift transfer of the right patient to the right hospital.

Effect of Implementing the Out-of-Hospital Traumatic Brain Injury Treatment Guidelines: The Excellence in Prehospital Injury Care for Children Study (EPIC4Kids)

STUDY OBJECTIVE

We evaluate the effect of implementing the out-of-hospital pediatric traumatic brain injury guidelines on outcomes in children with major traumatic brain injury.

METHODS

The Excellence in Prehospital Injury Care for Children study is the preplanned secondary analysis of the Excellence in Prehospital Injury Care study, a multisystem, intention-to-treat study using a before-after controlled design. This subanalysis included children younger than 18 years who were transported to Level I trauma centers by participating out-of-hospital agencies between January 1, 2007, and June 30, 2015, throughout Arizona. The primary and secondary outcomes were survival to hospital discharge or admission for children with major traumatic brain injury and in 3 subgroups, defined a priori as those with moderate, severe, and critical traumatic brain injury. Outcomes in the preimplementation and postimplementation cohorts were compared with logistic regression, adjusting for risk factors and confounders.

RESULTS

There were 2,801 subjects, 2,041 in preimplementation and 760 in postimplementation. The primary analysis (postimplementation versus preimplementation) yielded an adjusted odds ratio of 1.16 (95% confidence interval 0.70 to 1.92) for survival to hospital discharge and 2.41 (95% confidence interval 1.17 to 5.21) for survival to hospital admission. In the severe traumatic brain injury cohort (Regional Severity Score-Head 3 or 4), but not the moderate or critical subgroups, survival to discharge significantly improved after guideline implementation (adjusted odds ratio = 8.42; 95% confidence interval 1.01 to 100+). The improvement in survival to discharge among patients with severe traumatic brain injury who received positive-pressure ventilation did not reach significance (adjusted odds ratio = 9.13; 95% confidence interval 0.79 to 100+).

CONCLUSION

Implementation of the pediatric out-of-hospital traumatic brain injury guidelines was not associated with improved survival when the entire spectrum of severity was analyzed as a whole (moderate, severe, and critical). However, both adjusted survival to hospital admission and discharge improved in children with severe traumatic brain injury, indicating a potential severity-based interventional opportunity for guideline effectiveness. These findings support the widespread implementation of the out-of-hospital pediatric traumatic brain injury guidelines.

Evaluation of pain management in medical transfer of trauma patients by air

OBJECTIVES

With regionalized trauma care, medical transport times can be prolonged, requiring paramedics to manage patient care and symptoms. Our objective was to evaluate pain management during air transport of trauma patients.

METHODS

We conducted a 12-month review of electronic paramedic records from a provincial critical care transport agency. Patients were included if they were ≥18 years old and underwent air transport to a trauma centre, and excluded if they were Glasgow Coma Scale score <14, intubated, or accompanied by a physician or nurse. Demographics, injury description, and transportation parameters were recorded. Outcomes included pain assessment via 11-point numerical rating scale, patterns of analgesia administration, and analgesia-related adverse events. Results were reported as mean ± standard deviation, [range], (percentage).

RESULTS

We included 372 patients: 47.0 years old; 262 males; 361 blunt injuries. Transport duration was 82.4 ± 46.3 minutes. In 232 (62.4%) patients who received analgesia, baseline numerical rating scale was 5.9 ± 2.5. Fentanyl was most commonly administered at 44.3 [25-60] mcg. Numerical rating scale after first analgesia dose decreased by 1.1 [-2-7]. Thereafter, 171 (73.7%) patients received 2.4 [1-18] additional doses. While 44 (23.4%) patients had no change in numerical rating scale after first analgesia dose, subsequent doses resulted in no change in numerical rating scale in over 65% of patients. There were 43 adverse events recorded, with nausea the most commonly reported (39.5%).

CONCLUSIONS

Initial and subsequent dose(s) of analgesic had minimal effect on pain as assessed via numerical rating scale, likely due in part to inadequate dosing. Future research is required to determine and address the barriers to proper analgesia.

Hospital resources do not predict accuracy of secondary trauma triage: A population-based analysis

BACKGROUND

The identification of patients who require transfer from non-trauma centers to trauma centers (secondary triage) is complicated by high rates of undertriage and overtriage. The objective of this study was to evaluate variations in secondary triage accuracy across non-trauma centers and identify factors associated with highly accurate secondary triage.

METHODS

We performed a population-based study of injured patients who presented to non-trauma centers in a large regional trauma system. Patients were categorized as undertriaged, overtriaged, or appropriately triaged based on transfer status and presence of a severe injury (Injury Severity Score >15, death within 24 hours, or critical injury as defined by the American College of Surgeons). Mixed-effect models, adjusted for case mix and hospital resource, were used to compare triage accuracy across hospitals and identify factors associated with high-performing centers.

RESULTS

Among 118,973 patients identified at 182 non-trauma centers, 37,528 (31.5%) had severe injuries. The majority (76.9%) of severely injured patients were not transferred to a trauma center (undertriaged), while 9.6% of nonseverely injured patients were transferred to a trauma center (overtriaged). Mixed-effect models demonstrated that at the average hospital severely injured patients were 3.76 times more likely to be transferred than nonseverely injured patients (diagnostic odds ratio, 3.76; 95% confidence interval, 3.20-4.31). Despite significant variation in triage accuracy across hospitals, adjusted analyses suggested that local resources bore no relationship to triage accuracy.

CONCLUSION

Triage accuracy varies significantly across non-trauma centers, after adjusting for hospital resources. These findings suggest that other potentially modifiable factors play a key role in transfer decisions.

LEVEL OF EVIDENCE

Therapeutic/care management, level IV.

Impact of trauma centre capacity and volume on the mortality risk of incoming new admissions

INTRODUCTION

Trauma centre capacity and surge volume may affect decisions on where to transport a critically injured patient and whether to bypass the closest facility. Our hypothesis was that overcrowding and high patient acuity would contribute to increase the mortality risk for incoming admissions.

METHODS

For a 6-year period, we merged and cross-correlated our institutional trauma registry with a database on Trauma Resuscitation Unit (TRU) patient admissions, movement and discharges, with average capacity of 12 trauma bays. The outcomes of overall hospital and 24 hours mortality for new trauma admissions (NEW) were assessed by multivariate logistic regression.

RESULTS

There were 42 003 (mean=7000/year) admissions having complete data sets, with 36 354 (87%) patients who were primary trauma admissions, age ≥18 and survival ≥15 min. In the logistic regression model for the entire cohort, NEW admission hospital mortality was only associated with NEW admission age and prehospital Glasgow Coma Scale (GCS) and Shock Index (SI) (all p<0.05). When TRU occupancy reached ≥16 patients, the factors associated with increased NEW admission hospital mortality were existing patients (TRU >1 hour) with SI ≥0.9, recent admissions (TRU ≤1 hour) with age ≥65, NEW admission age and prehospital GCS and SI (all p<0.05).

CONCLUSION

The mortality of incoming patients is not impacted by routine trauma centre overcapacity. In conditions of severe overcrowding, the number of admitted patients with shock physiology and a recent surge of elderly/debilitated patients may influence the mortality risk of a new trauma admission.

Randomized Trial of Screening and Brief Intervention to Reduce Injury and Substance Abuse in an urban Level I Trauma Center

BACKGROUND

The TIP (Traumatic Injury Prevention) Project evaluated the impact on post-injury drug use of two brief motivational interventions compared to brief advice (BA) among injured patients who use drugs.

METHOD

Three-group, single blind, randomized controlled trial in a Level 1Trauma Center enrolled 395 admitted patients with drug positive toxicology screen or verbal report of drug use in the previous 30 days. 34% were Hispanic, 45% non-Hispanic White, 16% non-Hispanic Black. 88% smoked marijuana, 28% used cocaine and 11% prescription opioids. Brief Advice (BA) provided advice to abstain from drugs, educational materials and referral to community resources. Brief Motivational Intervention (BMI) additionally included a 30-45 minute session, with assessment feedback, based on motivational interviewing. BMI + B included a telephone booster 4-weeks post-intervention. Drug use as measured by percent days abstinent and total abstinence, derived from the Timeline Follow back was the primary outcome.

RESULTS

A significant reduction from baseline was observed at 3, 6, and 12 months in the primary outcomes of any drug use (excluding alcohol); cannabis and cocaine, the most frequently used drugs, were analyzed individually. There were no between group differences or group X time interactions. Similarly, there were no between groups differences on secondary outcomes including perceived health status, re-injury, arrest, incarceration, alcohol and drug treatment, employment, AA attendance, homelessness, physical abuse, and problems associated with alcohol and drug use.

CONCLUSIONS

The study does not support use of these enhanced motivational interventions over brief advice for trauma patients with a positive screen for drug use.

Medical and productivity costs after trauma

BACKGROUND

Well-advised priority setting in prevention and treatment of injuries relies on detailed insight into costs of injury. This study aimed to provide a detailed overview of medical and productivity costs due to injury up to two years post-injury and compare these costs across subgroups for injury severity and age.

METHODS

A prospective longitudinal cohort study followed all adult (≥18 years) injury patients admitted to a hospital in Noord-Brabant, the Netherlands. Patients filled out questionnaires 1 week, 1, 3, 6, 12 and 24 months after trauma, including items on health care consumption from the medical consumption questionnaire (iMCQ) and productivity loss from the productivity cost questionnaire (PCQ). Furthermore, injury severity was defined by Injury Severity Score (ISS). Data on diagnostics was retrieved from hospital registries. We calculated medical costs, consisting of in-hospital costs and post-hospital medical costs, and productivity costs due to injury up to two years post-injury.

RESULTS

Approximately 50% (N = 4883) of registered patients provided informed consent, and 3785 filled out at least one questionnaire. In total, the average costs per patient were €12,190. In-hospital costs, post-hospital medical costs and productivity costs contributed €4810, €5110 and €5830, respectively. Total costs per patient increased with injury severity, from €7030 in ISS1-3 to €23,750 in ISS16+ and were lowest for age category 18-24y (€7980), highest for age category 85 years and over (€15,580), and fluctuated over age groups in between.

CONCLUSION

Both medical costs and productivity costs generally increased with injury severity. Furthermore, productivity costs were found to be a large component of total costs of injury in ISS1-8 and are therefore a potentially interesting area with regard to reducing costs.

Pediatric trauma mortality: an ecological analysis evaluating correlation between injury-related mortality and geographic access to trauma care in the United States in 2010

Background

Trauma is the leading cause of mortality in the pediatric population &gt;1 year. Analyzing relationships between pediatric trauma-related mortality and geographic access to trauma centers (among other social covariates) elucidates the importance of cost and care effective regionalization of designated trauma facilities.

Methods

Pediatric crude injury mortality in 49 United States served as a dependent variable and state population within 45 minutes of trauma centers acted as the independent variable in four linear regression models. Multivariate analyses were performed using previously identified demographics as covariates.

Results

There is a favorable inverse relation between pediatric access to trauma centers and pediatric trauma-related mortality. Though research shows care is best at pediatric trauma centers, access to Adult Level 1 or 2 trauma centers held the most predictive power over mortality. A 4-year college degree attainment proved to be the most influential covariate, with predictive powers greater than the proximity variable.

Conclusions

Increased access to adult or pediatric trauma facilities yields improved outcomes in pediatric trauma mortality. Implementation of qualified, designated trauma centers, with respect to regionalization, has the potential to further lower pediatric mortality. Additionally, the percentage of state populations holding 4-year degrees is a stronger predictor of mortality than proximity and warrants further investigation.

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.

Screening and treating hospitalized trauma survivors for posttraumatic stress disorder and depression

Traumatic injury affects over 2.6 million U.S. adults annually and elevates risk for a number of negative health consequences. This includes substantial psychological harm, the most prominent being posttraumatic stress disorder (PTSD), with approximately 21% of traumatic injury survivors developing the disorder within the first year after injury. Posttraumatic stress disorder is associated with deficits in physical recovery, social functioning, and quality of life. Depression is diagnosed in approximately 6% in the year after injury and is also a predictor of poor quality of life. The American College of Surgeons Committee on Trauma suggests screening for and treatment of PTSD and depression, reflecting a growing awareness of the critical need to address patients' mental health needs after trauma. While some trauma centers have implemented screening and treatment or referral for treatment programs, the majority are evaluating how to best address this recommendation, and no standard approach for screening and treatment currently exists. Further, guidelines are not yet available with respect to resources that may be used to effectively screen and treat these disorders in trauma survivors, as well as who is going to bear the costs. The purpose of this review is: (1) to evaluate the current state of the literature regarding evidence-based screens for PTSD and depression in the hospitalized trauma patient and (2) summarize the literature to date regarding the treatments that have empirical support in treating PTSD and depression acutely after injury. This review also includes structural and funding information regarding existing postinjury mental health programs. Screening of injured patients and timely intervention to prevent or treat PTSD and depression could substantially improve health outcomes and improve quality of life for this high-risk population. LEVEL OF EVIDENCE: Review, level IV.

Cost-Effectiveness of the Transmural Trauma Care Model (TTCM) for the Rehabilitation of Trauma Patients

OBJECTIVES

To assess the societal cost-effectiveness of the Transmural Trauma Care Model (TTCM), a multidisciplinary transmural rehabilitation model for trauma patients, compared with regular care.

METHODS

The economic evaluation was performed alongside a before-and-after study, with a convenience control group measured only afterward, and a 9-month follow-up. Control group patients received regular care and were measured before implementation of the TTCM. Intervention group patients received the TTCM and were measured after its implementation. The primary outcome was generic health-related quality of life (HR-QOL). Secondary outcomes included disease-specific HR-QOL, pain, functional status, and perceived recovery.

RESULTS

Eighty-three trauma patients were included in the intervention group and fifty-seven in the control group. Total societal costs were lower in the intervention group than in the control group, but not statistically significantly so (EUR-267; 95 percent confidence interval [CI], EUR-4,175-3011). At 9 months, there was no statistically significant between-group differences in generic HR-QOL (0.05;95 percent CI, -0.02-0.12) and perceived recovery (0.09;95 percent CI, -0.09-0.28). However, mean between-group differences were statistically significantly in favor of the intervention group for disease-specific HR-QOL (-8.2;95 percent CI, -15.0--1.4), pain (-0.84;95CI, -1.42--0.26), and functional status (-20.1;95 percent CI, -29.6--10.7). Cost-effectiveness acceptability curves indicated that if decision makers are not willing to pay anything per unit of effect gained, the TTCM has a 0.54-0.58 probability of being cost-effective compared with regular care. For all outcomes, this probability increased with increasing values of willingness-to-pay.

CONCLUSIONS

The TTCM may be cost-effective compared with regular care, depending on the decision-makers willingness to pay and the probability of cost-effectiveness that they perceive as acceptable.

Defining geographic emergency medical services coverage in trauma systems

BACKGROUND

Geographic distribution of trauma system resources including trauma centers and helicopter bases correlate with outcomes. However, ground emergency medical services (EMS) coverage is dynamic and more difficult to quantify. Our objective was to evaluate measures that describe ground EMS coverage in trauma systems and correlate with outcome.

METHODS

Trauma system resources in Pennsylvania were mapped. Primary outcome was county age-adjusted transportation injury fatality rate. Measures of county EMS coverage included average distance to the nearest trauma center, number of basic life support and advanced life support units/100 square miles, distance differential between the nearest trauma center and nearest helicopter base, and nearest neighbor ratio (dispersed or clustered geographic pattern of agencies). Spatial-lag regression determined association between fatality rates and these measures, adjusted for prehospital time, Injury Severity Score, and socioeconomic factors. Relative importance of these measures was determined by assessing the loss in R value from the full model by removing each measure. A Geographic Emergency Medical Services Index (GEMSI) was created based on these measures for each county.

RESULTS

Median fatality rate was higher in counties with fewer trauma system resources. Decreasing distance to nearest trauma center, increasing advanced life support units/100 square miles, greater distance reduction due to helicopter bases, and dispersed geographic pattern of county EMS agencies were associated with lower fatality rates. The GEMSI ranged from -6.6 to 16.4 and accounted for 49% of variation in fatality rates. Adding an EMS agency to a single county that produced a dispersed pattern of EMS coverage reduced predicted fatality rate by 6%, while moving a helicopter base into the same county reduced predicted fatality rate by 22%.

CONCLUSION

The GEMSI uses several measures of ground EMS coverage and correlates with outcome. This tool may be used to describe and compare ground EMS coverage across trauma system geographies, as well as help optimize the geographic distribution of trauma system resources.

LEVEL OF EVIDENCE

Ecological study, level IV.

Association of Statewide Implementation of the Prehospital Traumatic Brain Injury Treatment Guidelines With Patient Survival Following Traumatic Brain Injury: The Excellence in Prehospital Injury Care (EPIC) Study

Importance

Traumatic brain injury (TBI) is a massive public health problem. While evidence-based guidelines directing the prehospital treatment of TBI have been promulgated, to our knowledge, no studies have assessed their association with survival.

Objective

To evaluate the association of implementing the nationally vetted, evidence-based, prehospital treatment guidelines with outcomes in moderate, severe, and critical TBI.

Design, Setting, and Participants

The Excellence in Prehospital Injury Care (EPIC) Study included more than 130 emergency medical services systems/agencies throughout Arizona. This was a statewide, multisystem, intention-to-treat study using a before/after controlled design with patients with moderate to critically severe TBI (US Centers for Disease Control and Prevention Barell Matrix-Type 1 and/or Abbreviated Injury Scale Head region severity ≥3) transported to trauma centers between January 1, 2007, and June 30, 2015. Data were analyzed between October 25, 2017, and February 22, 2019.

Interventions

Implementation of the prehospital TBI guidelines emphasizing avoidance/treatment of hypoxia, prevention/correction of hyperventilation, and avoidance/treatment of hypotension.

Main Outcomes and Measures

Primary: survival to hospital discharge; secondary: survival to hospital admission.

Results

Of the included patients, the median age was 45 years, 14 666 (67.1%) were men, 7181 (32.9%) were women; 16 408 (75.1% ) were white, 1400 (6.4%) were Native American, 743 (3.4% ) were Black, 237 (1.1%) were Asian, and 2791 (12.8%) were other race/ethnicity. Of the included patients, 21 852 met inclusion criteria for analysis (preimplementation phase [P1]: 15 228; postimplementation [P3]: 6624). The primary analysis (P3 vs P1) revealed an adjusted odds ratio (aOR) of 1.06 (95% CI, 0.93-1.21; P = .40) for survival to hospital discharge. The aOR was 1.70 (95% CI, 1.38-2.09; P < .001) for survival to hospital admission. Among the severe injury cohorts (but not moderate or critical), guideline implementation was significantly associated with survival to discharge (Regional Severity Score-Head 3-4: aOR, 2.03; 95% CI, 1.52-2.72; P < .001; Injury Severity Score 16-24: aOR, 1.61; 95% CI, 1.07-2.48; P = .02). This was also true for survival to discharge among the severe, intubated subgroups (Regional Severity Score-Head 3-4: aOR, 3.14; 95% CI, 1.65-5.98; P < .001; Injury Severity Score 16-24: aOR, 3.28; 95% CI, 1.19-11.34; P = .02).

Conclusions and Relevance

Statewide implementation of the prehospital TBI guidelines was not associated with significant improvement in overall survival to hospital discharge (across the entire, combined moderate to critical injury spectrum). However, adjusted survival doubled among patients with severe TBI and tripled in the severe, intubated cohort. Furthermore, guideline implementation was significantly associated with survival to hospital admission. These findings support the widespread implementation of the prehospital TBI treatment guidelines.

Trial Registration

ClinicalTrials.gov identifier: NCT01339702.

Lower emergency general surgery (EGS) mortality among hospitals with higher-quality trauma care

BACKGROUND

Patients undergoing emergency general surgery (EGS) procedures are up to eight times more likely to die than patients undergoing the same procedures electively. This excess mortality is often attributed to nonmodifiable patient factors including comorbidities and physiologic derangements at presentation, leaving few targets for quality improvement. Although the hospital-level traits that contribute to EGS outcomes are not well understood, we hypothesized that facilities with lower trauma mortality would have lower EGS mortality.

METHODS

Using the Nationwide Inpatient Sample (2008-2011), we calculated hospital-level risk-adjusted trauma mortality rates for hospitals with more than 400 trauma admissions. We then calculated hospital-level risk-adjusted EGS mortality rates for hospitals with more than 200 urgent/emergent admissions for seven core EGS procedures (laparotomy, large bowel resection, small bowel resection, lysis of adhesions, operative intervention for ulcer disease, cholecystectomy, and appendectomy). We used univariable and multivariable techniques to assess for associations between hospital-level risk-adjusted EGS mortality and hospital characteristics, patient-mix traits, EGS volume, and trauma mortality quartile.

RESULTS

Data from 303 hospitals, representing 153,544 admissions, revealed a median hospital-level EGS mortality rate of 1.21% (interquartile range, 0.86%-1.71%). After adjusting for hospital traits, hospital-level EGS mortality was significantly associated with trauma mortality quartile as well as patients' community income-level and race/ethnicity (p < 0.05 for all). Mean risk-adjusted EGS mortality was 1.09% (95% confidence interval, 0.94-1.25%) at hospitals in the lowest quartile for risk-adjusted trauma mortality, and 1.64% (95% confidence interval, 1.48-1.80%) at hospitals in the highest quartile of trauma mortality (p < 0.01). Sensitivity analyses limited to (1) high-mortality procedures and (2) high-volume facilities; both found similar trends (p < 0.01).

CONCLUSIONS

Patients at hospitals with lower risk-adjusted trauma mortality have a nearly 33% lower risk of mortality after admission for EGS procedures. The structures and processes that improve trauma mortality may also improve EGS mortality. Emergency general surgery-specific systems measures and process measures are needed to better understand drivers of variation in quality of EGS outcomes.

LEVEL OF EVIDENCE

Epidemiological, level III; Care management, level IV.

Treatment Charges for Traumatic Brain Injury Among Older Adults at a Trauma Center

OBJECTIVE

To provide charge estimates of treatment for traumatic brain injury (TBI), including both hospital and physician charges, among adults 65 years and older treated at a trauma center.

METHODS

We identified older adults treated for TBI during 2008-2012 (n = 1843) at Maryland's Primary Adult Resource Center and obtained hospital and physician charges separately. Analyses were stratified by sex and all charges were inflated to 2012 dollars. Total TBI charges were modeled as a function of covariates using a generalized linear model.

RESULTS

Women comprised 48% of the sample. The mean unadjusted total TBI hospitalization charge for adults 65 years and older was $36 075 (standard deviation, $63 073). Physician charges comprised 15% of total charges. Adjusted mean charges were lower in women than in men (adjusted difference, -$894; 95% confidence interval, -$277 to -$1512). Length of hospital and intensive care unit stay were associated with the highest charges.

CONCLUSIONS

This study provides the first estimates of hospital and physician charges associated with hospitalization for TBI among older adults at a trauma center that will aid in resource allocation, triage decisions, and healthcare policy.

Comparing the Air Medical Prehospital Triage Score With Current Practice for Triage of Injured Patients to Helicopter Emergency Medical Services: A Cost-effectiveness Analysis

Question

Is a selective triage strategy more cost-effective than current practices for determining which injured patients should be transported by helicopter vs ground ambulance to a trauma center?

Findings

In a nationally representative cohort using cost-effectiveness modeling, current helicopter triage practices have an incremental cost-effectiveness ratio of $255 333 per quality-adjusted life-year compared with using the Air Medical Prehospital Triage score, which is significantly more than the generally accepted threshold of $100 000 per quality-adjusted life-year for cost-effective medical interventions.

Meaning

Current helicopter triage practices are not cost-effective compared with the Air Medical Prehospital Triage score for determining helicopter vs ground transport for trauma patients.

Importance

Little evidence exists to guide helicopter emergency medical services (HEMS) triage, and current practice is inefficient. The Air Medical Prehospital Triage (AMPT) score was developed to identify patients most likely to benefit from HEMS compared with ground EMS. To our knowledge, no studies have evaluated the potential effect on costs and outcomes of a more targeted HEMS triage strategy, such as the AMPT score.

Objective

To evaluate the cost-effectiveness of current practice compared with the AMPT score for HEMS scene triage of trauma patients.

Design, Setting, and Participants

A cost-effectiveness Markov model was developed for the US health care system to compare current practice with the AMPT score as HEMS scene triage strategies from the health care system perspective over a patient lifetime horizon. A base case was estimated using national data of patient characteristics from the National Trauma Databank from 2007 to 2012. Model inputs, including demographic information, health care costs, survival, and utility estimates, were derived from literature and national registries. Triage strategies were modeled as probability of HEMS transport. Multilevel logistic regression was used to evaluate survival probability between HEMS and ground EMS under the triage strategies. Costs considered included transport reimbursements, hospitalization, cost of health care in the first year postinjury, and annual cost of health care after the first year postinjury. Several sensitivity analyses were performed to evaluate robustness of model assumptions.

Main Outcomes and Measures

Incremental cost-effectiveness ratio, with a threshold of $100 000 or less per quality-adjusted life-year defining cost-effectiveness.

Results

The base case had an incremental cost-effectiveness ratio of $255 333 per quality-adjusted life-year for current practice compared with the AMPT score. Assuming 20% of patients have severe injuries and assuming HEMS only benefits these patients, current practice had an incremental cost-effectiveness ratio of $176 686 per quality-adjusted life-year. Probabilistic sensitivity analysis demonstrated that current practice is inferior in 85% of iterations, only becoming favored when the cost-effectiveness threshold is greater than $310 000 per quality-adjusted life-year.

Conclusions and Relevance

Current practice is not cost-effective compared with the AMPT score for HEMS scene triage. The AMPT score was the preferred strategy across a range of model input values in sensitivity analyses. The AMPT score identifies patients most likely to benefit from HEMS while potentially reducing costs to the health care system and should be considered in air medical transport protocols for trauma patients.

Efficacy of educational video game versus traditional educational apps at improving physician decision making in trauma triage: randomized controlled trial

OBJECTIVE

To determine whether a behavioral intervention delivered through a video game can improve the appropriateness of trauma triage decisions in the emergency department of non-trauma centers.

DESIGN

Randomized clinical trial.

SETTING

Online intervention in national sample of emergency medicine physicians who make triage decisions at US hospitals.

PARTICIPANTS

368 emergency medicine physicians primarily working at non-trauma centers. A random sample (n=200) of those with primary outcome data was reassessed at six months.

INTERVENTIONS

Physicians were randomized in a 1:1 ratio to one hour of exposure to an adventure video game (Night Shift) or apps based on traditional didactic education (myATLS and Trauma Life Support MCQ Review), both on iPads. Night Shift was developed to recalibrate the process of using pattern recognition to recognize moderate-severe injuries (representativeness heuristics) through the use of stories to promote behavior change (narrative engagement). Physicians were randomized with a 2×2 factorial design to intervention (game v traditional education apps) and then to the experimental condition under which they completed the outcome assessment tool (low v high cognitive load). Blinding could not be maintained after allocation but group assignment was masked during the analysis phase.

MAIN OUTCOME MEASURES

Outcomes of a virtual simulation that included 10 cases; in four of these the patients had severe injuries. Participants completed the simulation within four weeks of their intervention. Decisions to admit, discharge, or transfer were measured. The proportion of patients under-triaged (patients with severe injuries not transferred to a trauma center) was calculated then (primary outcome) and again six months later, with a different set of cases (primary outcome of follow-up study). The secondary outcome was effect of cognitive load on under-triage.

RESULTS

149 (81%) physicians in the game arm and 148 (80%) in the traditional education arm completed the trial. Of these, 64/100 (64%) and 58/100 (58%), respectively, completed reassessment at six months. The mean age was 40 (SD 8.9), 283 (96%) were trained in emergency medicine, and 207 (70%) were ATLS (advanced trauma life support) certified. Physicians exposed to the game under-triaged fewer severely injured patients than those exposed to didactic education (316/596 (0.53) v 377/592 (0.64), estimated difference 0.11, 95% confidence interval 0.05 to 0.16; P<0.001). Cognitive load did not influence under-triage (161/308 (0.53) v 155/288 (0.54) in the game arm; 197/300 (0.66) v 180/292 (0.62) in the traditional educational apps arm; P=0.66). At six months, physicians exposed to the game remained less likely to under-triage patients (146/256 (0.57) v 172/232 (0.74), estimated difference 0.17, 0.09 to 0.25; P<0.001). No physician reported side effects. The sample might not reflect all emergency medicine physicians, and a small set of cases was used to assess performance.

CONCLUSIONS

Compared with apps based on traditional didactic education, exposure of physicians to a theoretically grounded video game improved triage decision making in a validated virtual simulation. Though the observed effect was large, the wide confidence intervals include the possibility of a small benefit, and the real world efficacy of this intervention remains uncertain.

TRIAL REGISTRATION

clinicaltrials.gov; NCT02857348 (initial study)/NCT03138304 (follow-up).

Trauma resource designation: an innovative approach to improving trauma system overtriage

Background

Effective triage of injured patients is often a balancing act for trauma systems. As healthcare reimbursements continue to decline,¹ innovative programs to effectively use hospital resources are essential in maintaining a viable trauma system. The objective of this pilot intervention was to evaluate a new triage model using 'trauma resource' (TR) as a new category in our existing Tiered Trauma Team Activation (TA) approach with hopes of decreasing charges without adversely affecting patient outcome.

Methods

Patients at one Level II Trauma Center (TC) over seven months were studied. Patients not meeting American College of Surgeons criteria for TA were assigned as TR and transported to a designated TC for expedited emergency department (ED) evaluation. Such patients were immediately assessed by a trauma nurse, ED nurse, and board-certified ED physician. Diagnostic studies were ordered, and the trauma surgeon (TS) was consulted as needed. Demographics, injury mechanism, time to physician evaluation, time to CT scan, time to disposition, hospital length of stay (LOS), and in-hospital mortality were analyzed.

Results

Fifty-two of the 318 TR patients were admitted by the TS and were similar to TA patients (N=684) with regard to gender, mean Injury Severity Score, mean LOS and in-hospital mortality, but were older (60.4 vs 47.2 years, p<0.0001) and often involved in a fall injury (52% vs 35%, p=0.0170). TR patients had increased door to physician evaluation times (11.5 vs 0.4 minutes, p<0.0001) and increased door to CT times (76.2 vs 25.9 minutes, p<0.0001). Of the 313 TR patients, 52 incurred charges totaling US$253 708 compared with US$1 041 612 if patients had been classified as TA.

Conclusions

Designating patients as TR prehospital with expedited evaluation by an ED physician and early TS consultation resulted in reduced use of resources and lower hospital charges without increase in LOS, time to disposition or in-hospital mortality.

Level of evidence

Level II.

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.

Effectiveness of trauma team on medical resource utilization and quality of care for patients with major trauma

BACKGROUND

Trauma is one of the leading causes of death in Taiwan, and its medical expenditure escalated drastically. This study aimed to explore the effectiveness of trauma team, which was established in September 2010, on medical resource utilization and quality of care among major trauma patients.

METHODS

This was a retrospective study, using trauma registry data bank and inpatient medical service charge databases. Study subjects were major trauma patients admitted to a medical center in Tainan during 2009 and 2013, and was divided into case group (from January, 2011 to August, 2013) and comparison group (from January, 2009 to August, 2010).

RESULTS

Significant reductions in several items of medical resource utilization were identified after the establishment of trauma team. In the sub-group of patients who survived to discharge, examination, radiology and operation charges declined significantly. The radiation and examination charges reduced significantly in the subcategories of ISS = 16 ~ 24 and ISS > 24 respectively. However, no significant effectiveness on quality of care was identified.

CONCLUSIONS

The establishment of trauma team is effective in containing medical resource utilization. In order to verify the effectiveness on quality of care, extended time frame and extra study subjects are needed.

Recommendations of the Working Groups from the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC) for the management of adult critically ill patients

The standardization of the Intensive Care Medicine may improve the management of the adult critically ill patient. However, these strategies have not been widely applied in the Intensive Care Units (ICUs). The aim is to elaborate the recommendations for the standardization of the treatment of critical patients. A panel of experts from the thirteen working groups (WG) of the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC) was selected and nominated by virtue of clinical expertise and/or scientific experience to carry out the recommendations. Available scientific literature in the management of adult critically ill patients from 2002 to 2016 was extracted. The clinical evidence was discussed and summarised by the experts in the course of a consensus finding of every WG and finally approved by the WGs after an extensive internal review process that was carried out between December 2015 and December 2016. A total of 65 recommendations were developed, of which 5 corresponded to each of the 13 WGs. These recommendations are based on the opinion of experts and scientific knowledge, and are intended as a guide for the intensivists in the management of critical patients.

The Effect of Combined Out-of-Hospital Hypotension and Hypoxia on Mortality in Major Traumatic Brain Injury

STUDY OBJECTIVE

Survival is significantly reduced by either hypotension or hypoxia during the out-of-hospital management of major traumatic brain injury. However, only a handful of small studies have investigated the influence of the combination of both hypotension and hypoxia occurring together. In patients with major traumatic brain injury, we evaluate the associations between mortality and out-of-hospital hypotension and hypoxia separately and in combination.

METHODS

All moderate or severe traumatic brain injury cases in the preimplementation cohort of the Excellence in Prehospital Injury Care study (a statewide, before/after, controlled study of the effect of implementing the out-of-hospital traumatic brain injury treatment guidelines) from January 1, 2007, to March 31, 2014, were evaluated (exclusions: <10 years, out-of-hospital oxygen saturation ≤10%, and out-of-hospital systolic blood pressure <40 or >200 mm Hg). The relationship between mortality and hypotension (systolic blood pressure <90 mm Hg) or hypoxia (saturation <90%) was assessed with multivariable logistic regression, controlling for Injury Severity Score, head region severity, injury type (blunt versus penetrating), age, sex, race, ethnicity, payer, interhospital transfer, and trauma center.

RESULTS

Among the 13,151 patients who met inclusion criteria (median age 45 years; 68.6% men), 11,545 (87.8%) had neither hypotension nor hypoxia, 604 (4.6%) had hypotension only, 790 (6.0%) had hypoxia only, and 212 (1.6%) had both hypotension and hypoxia. Mortality for the 4 study cohorts was 5.6%, 20.7%, 28.1%, and 43.9%, respectively. The crude and adjusted odds ratios for death within the cohorts, using the patients with neither hypotension nor hypoxia as the reference, were 4.4 and 2.5, 6.6 and 3.0, and 13.2 and 6.1, respectively. Evaluation for an interaction between hypotension and hypoxia revealed that the effects were additive on the log odds of death.

CONCLUSION

In this statewide analysis of major traumatic brain injury, combined out-of-hospital hypotension and hypoxia were associated with significantly increased mortality. This effect on survival persisted even after controlling for multiple potential confounders. In fact, the adjusted odds of death for patients with both hypotension and hypoxia were more than 2 times greater than for those with either hypotension or hypoxia alone. These findings seem supportive of the emphasis on aggressive prevention and treatment of hypotension and hypoxia reflected in the current emergency medical services traumatic brain injury treatment guidelines but clearly reveal the need for further study to determine their influence on outcome.

Outcome of femoral fractures care as a measure of trauma care between level I and level II trauma systems in Israel

Background

Our hypothesis in this study was that the outcome of patients with femur fractures would be favorable in a level I trauma center (LITC).

Methods

A prospective multicenter cohort study. 5 LITC and 6 regional (level II) trauma centers (RTCs) were enrolled to participate in the study. A total of 238 patients suffering from a femoral fracture were recruited to the study. 125 patients were treated in LITCs and 113 in RTCs. Data were extracted from the emergency medical services ambulances, emergency department records, patient hospitalization and discharge records, operating room records, and the national trauma registry (for LITCs). A study questionnaire was administered to all participating patients at discharge, 6 weeks and 6 months postoperatively. The following parameters were studied: mechanism of injury, time from injury to the hospital, Injury Severity Score, classification of femoral fracture, additional injuries, medical history, time to surgery, implant type, skill level of the surgical team, type of anesthesia, length of stay and intensive care unit (ICU) stay, postoperative and intraoperative complications and mortality.

Results

There was a significant difference in the modality of patient transfer between the 2 study groups-with the LITC receiving more patients transported by helicopters or medical intensive care. Time to surgery from admission was shorter in the LITC. Length of stay, ICU stay, and mortality were similar. In the LITCs, 47% of the procedures were performed by residents without the supervision of an attending surgeon, and in the RTCs 79% of the procedures were performed with an senior orthopaedic surgeon. Intraoperative and immediate complication rates were similar among the 2 groups.

Conclusions

A femoral shaft fracture can be successfully treated in an LITC and RTC in the state of Israel. Both research and policy implementation works are required. Also, a more detailed outcome analysis and triage criteria for emergency are desired.

Level of evidence

II.

Geographic Variation in Outpatient Health Care Service Utilization After Spinal Cord Injury

OBJECTIVE

To assess whether travel distances between patients and providers predict the frequency in which outpatient health care services are accessed after spinal cord injury (SCI).

DESIGN

A retrospective cohort study was carried out in South Carolina among employee health plan and Medicaid insurance recipients.

SETTING

Research center.

PARTICIPANTS

Two years of outpatient claimant data were evaluated from patients (N=243) aged ≥18 years who were hospitalized between 2010 and 2012.

INTERVENTIONS

Travel distances were estimated by geocoding provider and patient address information onto street network files.

MAIN OUTCOME MEASURES

Variation in service utilization use was assessed using negative binomial regression. Outpatient visits for physical medicine and rehabilitation, physician and specialty clinic, radiology, internal medicine, behavioral mental health, and "other" were evaluated.

RESULTS

Longer travel distances were statistically significant predictors of decreased physician/specialty clinic (relative risk [RR]=.87; 95% confidence interval [CI], .79-.96) and physiotherapy (RR=.57; 95% CI, .46-.71) utilization, with mixed findings for other providers. Secondary analyses in which differences in service use were analyzed using census-defined classifications of urban and rural status did not demonstrate any geographic pattern.

CONCLUSIONS

There are significant geographic variations in the use of select outpatient services among SCI populations across the state that are related to longer travel distances. That these patterns were only visible when using travel distance models as opposed to census-based classifications of urban and rural status adds support to augmenting routine data collection and surveillance with spatial analytical models.