Pedestrians struck by motor vehicles further worsen race- and insurance-based disparities in trauma outcomes: the case for inner-city pedestrian injury prevention programs

The effect of social determinants of health on patient outcomes in acute trauma: A systematic review

INTRODUCTION

Social determinants of health (SDoH) may mediate disparities, but their effect on outcomes after trauma is not well known. The purpose of this review is to improve existing gaps of knowledge for a broad range of SDoH and trauma-related outcomes.

METHODS

This was a systematic search to identify studies that evaluated the effect of race, insurance status, socioeconomic status (SES), health literacy, and community deprivation on inpatient mortality, morbidity, and post-discharge health care utilization in diverse trauma populations ≥16 years. Data were extracted on study design, patient and injury characteristics, outcomes, and covariates. Qualitative analysis was performed and reported results were stratified by exposure. An overall assessment of the strength of evidence for key clinically relevant comparisons was conducted.

RESULTS

60 studies were included. Overall, race was not meaningfully predictive of mortality or morbidity, with evidence reporting inconsistent or small magnitude of effects. However, African American/Black race was consistently associated with decreased odds of discharge to rehabilitation. Compared to insured patients, uninsured patients may have greater mortality risk and be less likely to discharge to rehabilitation. Studies evaluating health literacy or community deprivation reported conflicting results.

CONCLUSIONS

Disparities related to race are most profound for post-discharge health care utilization, while insurance status may be a strong negative predictor of both mortality and discharge disposition. More research is needed on health literacy and community deprivation to better understand mechanisms of disparity after trauma. Interventions targeted at improving continuity of inpatient and outpatient care may be beneficial.

Navigating Risk: A Comprehensive Study on Pedestrian-Vehicle Collision Factors

INTRODUCTION

While older adults, young children, and individuals with psychiatric illnesses are commonly believed to be most susceptible to becoming pedestrians struck by motor vehicles (PSMV), substantial empirical evidence is lacking. This study aimed to discern the risk factors predisposing trauma patients requiring hospital evaluation to being struck by a vehicle.

METHODS

The 2017-2021 Trauma Quality Improvement Program database was queried for all blunt trauma patients. Two groups were compared: PSMV and those presenting with other blunt trauma mechanisms. A multivariable logistic regression analysis was performed to identify predictors for PSMV and to analyze the risk difference between children (age <12 y), adolescents (12-17 y), and elderly patients (≥65 y) compared to adults (18-64 y).

RESULTS

Of 4,769,055 blunt trauma patients, 174,314 (3.7%) were PSMV. The pedestrian struck cohort had increased rates of lung injuries (20.8% versus 10.6%, P < 0.001) and rib fractures (24.0% versus 16.4%, P < 0.001), as well as overall complications (8.3% versus 4.3%, P < 0.001). On multivariable analysis, children (odds ratio [OR] 0.87, confidence interval [CI] 0.85-0.88, P < 0.001) and elderly patients (OR 0.36, CI 0.36-0.37, P < 0.001) were less likely to present as a pedestrian struck compared to adult patients. The strongest independent associated risk factor for PSMV was substance use disorder (OR 2.13, CI 2.09-2.16, P < 0.001), followed by alcohol use disorder (OR 1.21, CI 1.19-1.23, P < 0.001) and psychiatric illness (OR 1.12, CI 1.11-1.14, P < 0.001).

CONCLUSIONS

This study found that substance use disorders and psychiatric illness were the strongest predictor of PSMV among trauma patients. Surprisingly, children and the elderly were less likely to present as a PSMV compared to other blunt mechanisms, challenging prevailing beliefs. A 2-fold increase in complications and nearly 3-fold increase in mortality after PSMV highlights the need for both pedestrians and drivers to exercise caution in shared spaces and increased efforts for primary prevention.

Disparities in Access, Management and Outcomes of Critically Ill Adult Patients with Trauma

Despite legal protections guaranteeing care for patients with trauma, disparities exist in patient outcomes. We review disparities in patient management and outcomes related to insurance status, race and ethnicity, and gender for patients with trauma in the preadmission, in-hospital, and postdischarge settings. We highlight groups understudied and either underrepresented or unrepresented in national trauma databases-including American Indians/Alaska Natives, non-English preferred patients, and patients with disabilities. We call for more study of these groups and of upstream factors affecting the reviewed demographics to measure and improve outcomes for these vulnerable populations.

Societal Burden of Trauma and Disparities in Trauma Care

Trauma imposes a significant societal burden, with injury being a leading cause of mortality worldwide. While numerical data reveal that trauma accounts for millions of deaths annually, its true impact goes beyond these figures. The toll extends to non-fatal injuries, resulting in long-term physical and mental health consequences. Moreover, injury-related health care costs and lost productivity place substantial strain on a nation's economy. Disparities in trauma care further exacerbate this burden, affecting access to timely and appropriate care across various patient populations. These disparities manifest across the entire continuum of trauma care, from prehospital to in-hospital and post-acute phases. Addressing these disparities and improving access to quality trauma care are crucial steps toward alleviating the societal burden of trauma and enhancing equitable patient outcomes.

The role of race and insurance in trauma patients' mortality: A cross-sectional analysis based on a nationwide sample

BACKGROUND

Persistent disparities in trauma in-hospital mortality owing to insurance status and race remain a prominent issue within healthcare. This study explores the relationships among insurance status, race, length of stay (LOS) in-hospital mortality outcomes in trauma patients at extreme risk of mortality (EROM) trauma patients.

METHODS

Data was retrieved from the National Inpatient Sample, focusing on high-acuity trauma patients from 2007 to 2020, aged 18-64 years. Patients were identified using specific All Patient Refined Diagnosis Related Groups codes. Emphasis was placed on those with EROM owing to their resource-intensive nature and the potential influence of insurance on outcomes. Patients aged 65 years or older were excluded owing to distinct trauma patterns, as were those diagnosed with burns or non-trauma conditions.

RESULTS

The study encompassed 70,381 trauma inpatients with EROM, representing a national estimate of 346,659. Being insured was associated with a 34% decrease in the odds of in-hospital mortality compared to being uninsured. The in-hospital mortality risk associated with insurance status varied over time, with insurance having no impact on in-hospital mortality during hospitalizations of less than 2 days (short LOS). In the overall group, Black patients showed an 8% lower risk of in-hospital mortality compared to White patients, while they experienced a 33% higher risk of in-hospital mortality during short LOS.

CONCLUSION

Insured trauma inpatients demonstrated a significant reduction in the odds of in-hospital mortality compared to their uninsured counterparts, although this advantage was not present in the short LOS group. Black patients experienced lower in-hospital mortality rates compared to White patients, but this trend reversed in the short LOS group. These findings underscore the intricate relationships between insurance status, race, and duration of hospitalization, highlighting the need for interventions to improve patient outcomes.

[Social inequalities related to road traffic mortality]

OBJECTIVE

To synthesize the social inequalities related to mortality from traffic accidents reported in scientific publications.

METHOD

A scoping review following the PRISMA-ScR guide was carried out. Using the MesH vocabulary, we systematically searched for articles in English, Portuguese and Spanish published in the EBSCO, Scielo, Scopus, Ovid, and PubMed databases.

RESULTS

We identified 47,790 records in the initial search, of which 35 articles met the selection criteria. Nine out ten publications are in high-income countries; there is a greater interest in analyzing mortality in occupants and drivers of vehicles and motorcyclists. Half of the publications use race-ethnicity and geolocation as socioeconomic position variables. The articles included in this review indicate that groups of people with low socioeconomic positions have higher mortality due to traffic accidents.

CONCLUSIONS

The highest mortality from traffic accidents occurs in people with low socioeconomic positions which suggests the development of road safety actions from a comprehensive, integrative perspective and linked to other political agendas to reduce their incidence by 2030. Although road traffic fatalities are higher in low and middle-income countries, few publications are available in these countries. It is necessary to strengthen the research capacities in these countries.

Cultural Competence, Safety, Humility, and Dexterity in Surgery

Purpose of Review

As the United States’ population diversifies, urgent action is required to identify, dismantle, and eradicate persistent health disparities. The surgical community must recognize how patients’ values, beliefs, and behaviors are influenced by race, ethnicity, nationality, language, gender, socioeconomic status, physical and mental ability, sexual orientation, and occupation.

Recent Findings

Lately, health disparities have been highlighted during the COVID-19 pandemic. Surgery is no exception, with notable disparities occurring in pediatric, vascular, trauma, and cardiac surgery. In response, numerous curricula and training programs are being designed to increase cultural competence and safety among surgeons.

Summary

Cultural competence, safety, humility, and dexterity are required to improve healthcare experiences and outcomes for minorities. Various opportunities exist to enhance cultural competency and can be implemented at the medical student, resident, attending, management, and leadership levels.

The Association of Race, Sex, and Insurance With Transfer From Adult to Pediatric Trauma Centers

OBJECTIVE

Our objective was to investigate whether racial/ethnic-based or payer-based disparities existed in the transfer practices of pediatric trauma patients from adult trauma center (ATC) to pediatric trauma center (PTC) in Pennsylvania.

METHODS

Data on trauma patients aged 14 years or less initially evaluated at level I and II ATC were obtained from the Pennsylvania Trauma Outcome Study (2008-2012) (n = 3446). Generalized estimating equations regression analyses were used to evaluate predictors of subsequent transfer controlling for confounders and clustering. Recent literature has described racial and socioeconomic disparities in outcomes such as mortality after trauma; it is unknown whether these factors also influence the likelihood of subsequent interfacility transfer between ATC and PTC.

RESULTS

Patients identified as nonwhite comprised 36.1% of the study population. Those without insurance comprised 9.9% of the population. There were 2790 patients (77.4%) who were subsequently transferred. Nonwhite race (odds ratio [OR], 4.3), female sex (OR, 1.3), and lack of insurance (OR, 2.3) were associated with interfacility transfer. Additional factors were identified influencing likelihood of transfer (increased odds: younger age, intubated status, cranial, orthopedic, and solid organ injury; decreased odds: operative intervention at the initial trauma center) (P < 0.05 for all).

CONCLUSIONS

Although we assume that a desire for specialized care is the primary reason for transfer of injured children to PTCs, our analysis demonstrates that race, female sex, and lack of insurance are also associated with transfers from ATCs to PTCs for children younger than 15 years in Pennsylvania. Further research is needed to understand the basis of these health care disparities and their impact.

Does the insurance status influence in-hospital outcome? A retrospective assessment in 30,175 surgical trauma patients in Switzerland

Introduction

There has been growing evidence in trauma literature that differences in insurance status lead to inequality in treatment and outcome. Most studies comparing uninsured to insured patients were done in the USA. We sought to gain further insights into differences in the outcomes of trauma patients in a healthcare system with mandatory public health coverage by comparing publicly versus privately insured patients.

Methods

We used a prospective national quality assessment database from the Arbeitsgemeinschaft für Qualitätssicherung in der Chirurgie (AQC). More than 80 surgical departments in Switzerland are part of this quality program. We included all patients in the AQC database with any S- or T-code diagnosis according to the International Classification of Diseases ICD-10 (any injuries) who were treated during the 11-year period of 2004–2014. Missing insurance status information was an exclusion criterion. In total, 30,175 patients were included for analysis. The primary outcome was in-hospital mortality. Secondary outcomes included overall and intra- and postoperative complications. Bi- and multivariate analyses were performed, adjusted for insurance status, age, sex, American Society of Anesthesiologists (ASA) physical status category, type of injury, and surgeon’s level of experience.

Results

In total, 76.8% (n = 23,196) of the patients were publicly insured. Patients with public insurance were significantly younger (p < 0.001), more often male (p < 0.001), and in better general health according to the ASA physical status category (p < 0.001). Length of pre- and postoperative stay and the number of operations per case were similar in the two groups. Patients with public insurance had a lower mortality rate (1.3% vs. 1.9%, p < 0.001), but after adjusting for confounders, insurance status was not a predictor of mortality. Overall complication rates were significantly higher for publicly insured patients (8.4% vs. 6.2%, p < 0.001), and after adjusting for confounders, insurance status was identified as an independent risk factor for overall complications (p < 0.001).

Conclusion

Differences exist with respect to patient and procedural characteristics: publicly insured patients were younger, more often male, and scored better on ASA physical status. Insurance status seems not to be a predictor for fatal outcome after trauma, although it is associated with complications.

A Multistate Study of Race and Ethnic Disparities in Access to Trauma Care

BACKGROUND

There are well-documented disparities in outcomes for injured Black and Hispanic patients in the United States. However, patient level characteristics cannot fully explain the differences in outcomes and system-level factors, including the trauma center designation of the hospital to which a patient presents, may contribute to their worse outcomes. We aim to determine if Black and Hispanic patients are more likely to be undertriaged, compared with white patients.

METHODS

This is a retrospective, cross-sectional, population-based study that uses data from the 2014 Agency for Healthcare Research and Quality Healthcare Costs and Utilization Project State Inpatient Databases. We included data from all states with available State Inpatient Databases data that included both race and hospital characteristics needed for analysis (n = 18). Logistic regression was used to identify predictors of severely injured (Injury Severity Score ≥16) patients being brought to a trauma center.

RESULTS

We identified 70,970 severely injured trauma patients with complete data. Non-Hispanic White represented 74.1% of the study population, 9.8% were non-Hispanic Black, and 9.7% were Hispanic. After adjustment for other demographic and injury characteristics, Non-Hispanic Black and Hispanic patients were more likely to be undertriaged, compared with white patients (odds ratio, 1.20; 95% confidence interval, 1.12-1.29 and odds ratio, 1.39; 95% confidence interval, 1.29-1.48, respectively). Male sex and older age were associated with higher odds of undertriage, whereas urban residence, high injury severity, and penetrating injury were associated with lower odds of undertriage.

CONCLUSIONS

Severely injured Black and Hispanic trauma patients are more likely to be undertriaged than otherwise similar white patients. The factors that contribute to racial and ethnic disparities in receiving trauma center care need to be identified and addressed to provide equitable trauma care.

Health Disparities, Transportation Equity and Complete Streets: a Case Study of a Policy Development Process through the Lens of Critical Race Theory

Historic disinvestment in transportation infrastructure is directly related to adverse social conditions underlying health disparities in low-income communities of color. Complete Streets policies offer a strategy to address inequities and subsequent public health outcomes. This case study examines the potential for an equity-focused policy process to address systemic barriers and identify potential measures to track progress toward equity outcomes. Critical race theory provided the analytical framework to examine grant reports, task force notes, community workshop/outreach activities, digital stories, and stakeholder interviews. Analysis showed that transportation inequities are entrenched in historically rooted disparities that are perpetuated in ongoing decision-making processes. Intentional efforts to incorporate equity into discussions with community members and representatives contributed to explicit equity language being included in the final policy. The potential to achieve equity outcomes will depend upon policy implementation. Concrete strategies to engage community members and focus city decision-making practices on marginalized and disenfranchised communities are identified.

Racial Disparities at Mixed-Race and Minority Hospitals : Treatment of African American Males With High-Grade Splenic Injuries

INTRODUCTION

Racial and socioeconomic disparities in health access and outcomes for many conditions is well known. However, for time-sensitive high-acuity diseases such as traumatic injuries, disparities in access and outcomes should be significantly diminished. Our primary objective was to characterize racial disparities across majority, mixed-race, and minority hospitals for African American ([AA] vs White) males with high-grade splenic injuries.

METHODS

Data from the National Trauma Data Bank were utilized from 2007 to 2015; 24 855 AA or White males with high-grade splenic injuries were included. Multilevel mixed-effects regression analysis was used to evaluate disparities in outcomes and resource allocation.

RESULTS

Mortality was significantly higher for AA males at mixed-race (OR 1.6; 95% CI 1.3-2.1; P < .001) and minority (OR 2.1; 95% CI 1.5-3.0; P < .001) hospitals, but not at majority hospitals. At minority hospitals, AA males were significantly less likely to be admitted to the intensive care unit (OR 0.7; 95% CI, 0.49-0.97; P = .04) and experienced a significantly longer time to surgery (IRR 1.5; P = .02). Minority hospitals were significantly more likely to have failures from angiographic embolization requiring operative intervention (OR 2.2, P = .009). At both types of nonmajority hospitals, AA males with penetrating injuries were more likely to be managed with angiography (mixed-race hospitals: OR 1.7; P = .046 vs minority hospitals: OR 1.6; P = .08).

DISCUSSION

While multiple studies have shown that minority hospitals have increased mortality compared to majority hospitals, this study found this disparity only existed for AAs.

Racial Disparities at Mixed-Race and Minority Hospitals: Treatment of African American Males With High-Grade Splenic Injuries

INTRODUCTION

Racial and socioeconomic disparities in health access and outcomes for many conditions are well known. However, for time-sensitive high-acuity diseases such as traumatic injuries, disparities in access and outcomes should be significantly diminished. Our primary objective was to characterize racial disparities across majority, mixed-race, and minority hospitals for African American (AA) versus white males with high-grade splenic injuries.

METHODS

Data from the National Trauma Data Bank was utilized from 2007 to 2015. A total of 24 855 AA or white males with high-grade splenic injuries were included. Multilevel mixed effects regression analysis was used to evaluate disparities in outcomes and resource allocation.

RESULTS

Mortality was significantly higher for AA males at mixed-race (odds ratio [OR] 1.6; 95% CI 1.3-2.1; P < .001) and minority (OR 2.1; 95% CI 1.5-3.0; P < .001) hospitals, but not at majority hospitals. At minority hospitals, AA males were significantly less likely to be admitted to the intensive care unit (OR 0.7; 95% CI 0.49-0.97; P = .04) and experienced a significantly longer time to surgery (IRR 1.5; P = .02). Minority hospitals were significantly more likely to have failures from angiographic embolization requiring operative intervention (OR 2.2; P = .009). At both types of nonmajority hospitals, AA males with penetrating injuries were more likely to be managed with angiography (mixed-race hospitals: OR 1.7; P = .046 vs minority hospitals: OR 1.6; P = .08).

DISCUSSION

While multiple studies have shown that minority hospitals have increased mortality compared to majority hospitals, this study found this disparity only existed for AAs.

The role of sociodemographics in the occurrence of orthopaedic trauma

INTRODUCTION

We sought to determine the effects of sociodemographic factors on the occurrence of orthopaedic injuries in an adult population presenting to a level 1 trauma center.

MATERIALS AND METHODS

We conducted a retrospective chart review of patients who received orthopaedic trauma care at a level 1 academic trauma center.

RESULTS

20,919 orthopaedic trauma injury cases were treated at an academic level 1 trauma center between 01 January 1993 and 27 August 2017. Following application of inclusion/exclusion criteria, a total of 14,654 patients were retrieved for analysis. Out of 14,654 patients, 4602 (31.4%) belonged to low socioeconomic status (SES), 4961 (32.0%) to middle SES and 5361 (36.6%) to high SES. Following adjustment for age, sex, race, insurance status and injury severity score (ISS), patients belonging to middle SES vs. low SES (OR 0.77 [95% CI 0.63-0.94]; p = 0.009) or high SES vs. low SES (OR 0.77 [95% CI 0.62-0.95]; p = 0.016) had lower odds of receiving a penetrating injury as compared to a blunt injury.

CONCLUSION

The results from this study indicate that a link exists between sociodemographic factors and the occurrence of orthopaedic injuries presenting to a level 1 trauma center. The most common cause of injury varied within age groups, by sex, and within the different socioeconomic groups.

Challenges in studying statewide pedestrian injuries and drug involvement

BACKGROUND

Increasing U.S. rates of pedestrian injuries could be attributable in part to changing policies and attitudes towards drugs and associated increases in use, yet drug use has not been investigated widely as a risk factor for pedestrian injury. This study details challenges to investigating drug-involved pedestrian crashes using existing surveillance systems.

METHODS

Using California police reports from 2004 to 2016, we performed simple linear regression with the proportion of data that was missing by year for drug and alcohol use as the outcome of interest. We also explored differences in the relative proportion of missing data across sex, race, and age groups through simple logistic regression. Finally, we compared missing data for alcohol and drug use indicators for pedestrians and drivers.

RESULTS

From 2004 to 2016, 182,278 pedestrians were involved in crashes across California. Only 1.22% (n = 2219) of records indicated drug use, and 98% had missing data for drug use; the proportion of missing data did not change over time (b = - 0.040, p = 0.145, 95% CI = (- 0.095, 0.016)). The proportion of missing values for alcohol use increased each year (b = 0.49, 95% CI = (0.26, 0.72), p = 0.001). Driver drug and alcohol use indictors showed similar data missingness, and missing data did not show significant variation over time. Hispanics were more likely to have missing data for drug use compared to Whites (OR = 0.61, p < 0.001, 95% CI = (0.56, 0.67)), and Blacks were more likely to have missing data for alcohol use compared to Whites (OR = 0.87, p < 0.0001, 95% CI = (0.84, 0.91)).

CONCLUSIONS

Drug use may be a key contributing factor to pedestrian injury, but drug use remains consistently and largely unmeasured in existing surveillance systems. Without better collection of drug and alcohol data, monitoring trends in drug-involved pedestrian injury will not be feasible.

Between-hospital and between-neighbourhood variance in trauma outcomes: cross-sectional observational evidence from the Detroit metropolitan area

OBJECTIVE

Disparities in treatment outcomes for traumatic injury are an important concern for care providers and policy makers. Factors that may influence these disparities include differences in risk exposure based on neighbourhood of residence and differences in quality of care between hospitals in different areas. This study examines geographical disparities within a single region: the Detroit metropolitan area.

DESIGN

Data on all trauma admissions between 2006 and 2014 were obtained from the Michigan State Inpatient Database. Admissions were grouped by patient neighbourhood of residence and admitting hospital. Generalised linear mixed modelling procedures were used to determine the extent of shared variance based on these two levels of categorisation on three outcomes. Patients with trauma due to common mechanisms (falls, firearms and motor vehicle traffic) were examined as additional subgroups.

SETTING

66 hospitals admitting patients for traumatic injury in the Detroit metropolitan area during the period from 2006 to 2014.

PARTICIPANTS

404 675 adult patients admitted for treatment of traumatic injury.

OUTCOME MEASURES

In-hospital mortality, length of stay and hospital charges.

RESULTS

Intraclass correlation coefficients indicated that there was substantial shared variance in outcomes based on hospital, but not based on neighbourhood of residence. Among all injury types, hospital-level differences accounted for 12.5% of variance in mortality risk, 28.5% of variance in length of stay and 32.2% of variance in hospital charges. Adjusting the results for patient age, injury severity, mechanism and comorbidities did not result in significant reduction in the estimated variance at the hospital level.

CONCLUSIONS

Based on these data, geographical disparities in trauma treatment outcomes were more strongly attributable to differences in access to quality hospital care than to risk factors in the neighbourhood environment. Transfer of high-risk cases to hospitals with greater institutional experience in the relevant area may help address mortality disparities in particular.

Payer Source Associated with Disparities in Procedural, but Not Surgical, Care in a Trauma Population

Trauma centers are legally bound by Emergency Medical Treatment and Active Labor Act to provide equal treatment to trauma patients, regardless of payer source. However, evidence has suggested that disparities in trauma care exist. This study investigated the relationships between payer source and procedures (total, diagnostic, and surgical) and the number of medical consults in an adult trauma population. This is a 10-year retrospective trauma registry study at a Level I trauma facility. Payer source of adult trauma patients was identified, demographics and variables associated with trauma outcomes were abstracted, and multivariate logistic regression tests were used to determine statistical differences in the number of procedures and medical consults. Of the 12,870 records analyzed, 69.1 per cent of patients were commercially insured, 21.2 per cent were uninsured, and 9.6 per cent had Medicaid. After controlling for patient- and injury-related variables, the commercially insured received more total procedures (4.30) than the uninsured (3.35) or those with Medicaid (3.34), and more diagnostic (2.59) procedures than the uninsured (2.03) or those with Medicaid (2.04). There was not a difference in the number of surgical procedures or medical consults among payer sources. This study noted that disparities (measured by the number of procedures received) compared by payer source existed in the care of trauma patients. However, for medical consults and definitive care (measured by surgical procedures), disparities were not observed. Future research should focus on secondary factors that influence levels of care such as patient-level factors (health literacy) and trauma program policies.

Effects of Medicaid expansion on disparities in trauma care and outcomes in young adults

BACKGROUND

Racial/ethnic and socioeconomic disparities in trauma care and outcomes among young adults are well documented. As the Patient Protection and Affordable Care Act Medicaid expansion has increased insurance coverage among young adults, we aimed to investigate its impact on disparities in insurance coverage and outcomes among hospitalized young adult trauma patients.

MATERIALS AND METHODS

We used the healthcare cost and utilization project state inpatient databases to examine changes in insurance coverage and risk-adjusted outcomes from before (2012-2013) to after (2014) Medicaid expansion among young adults (age 19-44) hospitalized for injury across 11 Medicaid expansion states. Changes were compared across racial/ethnic and community-level income groups. We also compared changes in disparities between three expansion and three nonexpansion states in the US south.

RESULTS

In the first year of Medicaid expansion, non-Hispanic black trauma patients experienced a large decrease in uninsurance (34.3%-14.2%, P < 0.01), reducing the disparity in uninsurance between non-Hispanic black and non-Hispanic white patients (P < 0.05). There were no differences across racial/ethnic groups in changes in in-hospital mortality, failure to rescue, discharge to rehabilitation, or 30-d unplanned readmissions. Socioeconomic disparities in discharge to rehabilitation decreased (1.63% versus 0.06% increase among patients from the lowest and highest income communities, P < 0.05). In contrast, in the selected southern states, Medicaid expansion was associated with the introduction of a disparity in discharge to inpatient rehabilitation between Hispanics and non-Hispanic whites.

CONCLUSIONS

Medicaid expansion, in its first year, decreased racial and socioeconomic disparities in uninsurance and socioeconomic disparities in access to rehabilitation.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Examining racial bias as a potential factor in pedestrian crashes

INTRODUCTION

In the US people of color are disproportionately affected by pedestrian crashes. The purpose of this study was to examine the potential for racial bias in driver yielding behaviors at midblock crosswalks in low and high income neighborhoods located in the sprawling metropolitan area of Las Vegas, NV.

METHODS

Participants (1 white, 1 black female) crossed at a midblock crosswalk on a multilane road in a low income and a high income neighborhood. Trained observers recorded (1) number of cars that passed in the nearest lane before yielding while the pedestrian waited near the crosswalk at the curb (2) number of cars that passed through the crosswalk with the pedestrian in the same half of the roadway.

RESULTS

The first car in the nearest lane yielded to the pedestrian while they waited at the curb 51.5% of the time at the high income and 70.7% of the time at the low income crosswalk. Two way ANOVAs found an interaction effect between income and race on yielding behaviors. Simple effects for income revealed that at the high income crosswalk, drivers were less likely to yield to the white pedestrian while she waited at the curb (F(1,122)=11.18;p=0.001), and were less likely to yield to the black pedestrian while she was in the same half of the roadway at the high income crosswalk (F(1,124)=4.40;p=0.04). Simple effects for race showed significantly more cars passed through the crosswalk while the black pedestrian was in the roadway compared to the white pedestrian at the high income crosswalk (F(1,124)=6.62;p=0.01).

CONCLUSIONS

Bias in driver yielding behavior may be one influencing factor in higher rates of pedestrian crashes for people of color.

Variation in type and frequency of diagnostic imaging during trauma care across multiple time points by patient insurance type

BACKGROUND

Research has shown that uninsured patients receive fewer radiographic studies during trauma care, but less is known as to whether differences in care are present among other insurance groups or across different time points during hospitalization. Our objective was to examine the number of radiographic studies administered to a cohort of trauma patients over the entire hospital stay as well as during the first 24-hours of care.

METHODS

Patient data were obtained from an American College of Surgeons (ACS) verified Level I Trauma Center between January 1, 2011 and December 31, 2012. We used negative binomial regression to construct relative risk (RR) ratios for type and frequency of radiographic imaging received among persons with Medicare, Medicaid, no insurance, or government insurance plans in reference to those with commercial indemnity plans. The analysis was adjusted for patient age, sex, race/ethnicity, injury severity score, injury mechanism, comorbidities, complications, hospital length of stay, and Intensive Care Unit (ICU) admission.

RESULTS

A total of 3621 records from surviving patients age > =18 years were assessed. After adjustment for potential confounders, the expected number of radiographic studies decreased by 15 % among Medicare recipients (RR 0.85, 95 % CI 0.78-0.93), 11 % among Medicaid recipients (0.89, 0.81-0.99), 10 % among the uninsured (0.90, 0.85-0.96) and 19 % among government insurance groups (0.81, 0.72-0.90), compared with the reference group. This disparity was observed during the first 24-hours of care among patients with Medicare (0.78, 0.71-0.86) and government insurance plans (0.83, 0.74-0.94). Overall, there were no differences in the number of radiographic studies among the uninsured or among Medicaid patients during the first 24-hours of care compared with the reference group, but differences were observed among the uninsured in a sub-analysis of severely injured patients (ISS > 15).

CONCLUSIONS

Both uninsured and insured patients treated at a not-for-profit verified Level I Trauma Center receive fewer radiographic studies than patients with commercial indemnity plans, even after adjusting for clinical and demographic confounders. There is less disparity in care during the first 24-hours, which suggests that patient pathology is the determining factor for radiographic evaluation during the acute care phase. Results from this study offer initial evidence of disparity in diagnostic imaging across multiple insurance groups over different periods of trauma care.

Relationship of Physician-identified Patient Race and Ethnicity to Use of Computed Tomography in Pediatric Blunt Torso Trauma

OBJECTIVES

The objective was to determine whether a child's race or ethnicity as determined by the treating physician is independently associated with receiving abdominal computed tomography (CT) after blunt torso trauma.

METHODS

We performed a planned secondary analysis of a prospective observational cohort of children < 18 years old presenting within 24 hours of blunt torso trauma to 20 North American emergency departments (EDs) participating in a pediatric research network, 2007-2010. Treating physicians documented race/ethnicity as white non-Hispanic, black non-Hispanic, or Hispanic. Using a previously derived clinical prediction rule, we classified each child's risk for having an intra-abdominal injury undergoing acute intervention to define injury severity. We performed multivariable analyses using generalized estimating equations to control for confounding and for clustering of children within hospitals.

RESULTS

Among 12,044 enrolled patients, treating physicians documented race/ethnicity as white non-Hispanic (n = 5,847, 54.0%), black non-Hispanic (n = 3,687, 34.1%), or Hispanic of any race (n = 1,291, 11.9%). Overall, 51.8% of white non-Hispanic, 32.7% of black non-Hispanic, and 44.2% of Hispanic children underwent abdominal CT imaging. After age, sex, abdominal ultrasound use, risk for intra-abdominal injury undergoing acute intervention, and hospital clustering were adjusted for, the likelihood of receiving an abdominal CT was lower (odds ratio [OR] = 0.8, 95% confidence interval [CI] = 0.7 to 0.9) for black non-Hispanic than for white non-Hispanic children. For Hispanic children, the likelihood of receiving an abdominal CT did not differ from that observed in white non-Hispanic children (OR = 0.9, 95% CI = 0.8 to 1.1).

CONCLUSIONS

After blunt torso trauma, pediatric patients identified by the treating physicians as black non-Hispanic were less likely to receive abdominal CT imaging than those identified as white non-Hispanic. This suggests that nonclinical factors influence clinician decision-making regarding use of abdominal CT in children. Further studies should focus on explaining how patient race can affect provider choices regarding ED radiographic imaging.

The Hispanic paradox: does it exist in the injured?

BACKGROUND

Hispanics have similar or lower all-cause mortality rates in the general population than non-Hispanic whites (NHWs), despite higher risks associated with lower socioeconomic status, hence termed the "Hispanic Paradox." It is unknown if this paradox exists in the injured. We hypothesized that Hispanic trauma patients have equivalent or lower risk-adjusted mortality and observed-to-expected mortality ratios than other racial/ethnic groups.

METHODS

Retrospective analysis of adult patients from the 2010 National Trauma Data Bank was performed. Hispanic patients were compared with NHWs and African Americans (AAs) to assess in-hospital mortality risk in each group.

RESULTS

Compared with NHWs, Hispanic patients had lower unadjusted risk of mortality. After adjusting for potential confounders, the difference was no longer statistically significant. Mortality risk was significantly lower for Hispanic patients compared with AAs in both crude and adjusted models. Hispanic patients had significantly lower observed-to-expected mortality ratios than NHWs and AAs.

CONCLUSION

Despite reports of racial/ethnic disparities in trauma outcomes, Hispanic patients are not at greater risk of death than NHW patients in a nationwide representative sample of trauma patients.

Not Just an Urban Phenomenon: Uninsured Rural Trauma Patients at Increased Risk for Mortality

Introduction

National studies of largely urban populations showed increased risk of traumatic death among uninsured patients, as compared to those insured. No similar studies have been done for major trauma centers serving rural states.

Methods

We performed retrospective analyses using trauma registry records from adult, non-burn patients admitted to a single American College of Surgeons-certified Level 1 trauma center in a rural state (2003–2010, n=13,680) and National Trauma Data Bank (NTDB) registry records (2002–2008, n=380,182). Risk of traumatic death was estimated using multivariable logistic regression analysis.

Results

We found that 9% of trauma center patients and 27% of NTDB patients were uninsured. Overall mortality was similar for both (~4.5%). After controlling for covariates, uninsured trauma center patients were almost five times more likely to die and uninsured NTDB patients were 75% more likely to die than commercially insured patients. The risk of death among Medicaid patients was not significantly different from the commercially insured for either dataset.

Conclusion

Our results suggest that even with an inclusive statewide trauma system and an emergency department that does not triage by payer status, uninsured patients presenting to the trauma center were at increased risk of traumatic death relative to patients with commercial insurance.

Association between race and age in survival after trauma

IMPORTANCE

Racial disparities in survival after trauma are well described for patients younger than 65 years. Similar information among older patients is lacking because existing trauma databases do not include important patient comorbidity information.

OBJECTIVE

To determine whether racial disparities in trauma survival persist in patients 65 years or older.

DESIGN, SETTING, AND PARTICIPANTS

Trauma patients were identified from the Nationwide Inpatient Sample (January 1, 2003, through December 30, 2010) using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes. Injury severity was ascertained by applying the Trauma Mortality Prediction Model, and patient comorbidities were quantified using the Charlson Comorbidity Index.

MAIN OUTCOMES AND MEASURES

In-hospital mortality after trauma for blacks vs whites for younger (16-64 years of age) and older (≥65 years of age) patients was compared using 3 different statistical methods: univariable logistic regression, multivariable logistic regression with and without clustering for hospital effects, and coarsened exact matching. Model covariates included age, sex, insurance status, type and intent of injury, injury severity, head injury severity, and Charlson Comorbidity Index.

RESULTS

A total of 1,073,195 patients were included (502,167 patients 16-64 years of age and 571,028 patients ≥65 years of age). Most older patients were white (547,325 [95.8%]), female (406 158 [71.1%]), and insured (567,361 [99.4%]) and had Charlson Comorbidity Index scores of 1 or higher (323,741 [56.7%]). The unadjusted odds ratios (ORs) for death in blacks vs whites were 1.35 (95% CI, 1.28-1.42) for patients 16 to 64 years of age and 1.00 (95% CI, 0.93-1.08) for patients 65 years or older. After risk adjustment, racial disparities in survival persisted in the younger black group (OR, 1.21; 95% CI, 1.13-1.30) but were reversed in the older group (OR, 0.83; 95% CI, 0.76-0.90). This finding was consistent across all 3 statistical methods.

CONCLUSIONS AND RELEVANCE

Different racial disparities in survival after trauma exist between white and black patients depending on their age group. Although younger white patients have better outcomes after trauma than younger black patients, older black patients have better outcomes than older white patients. Exploration of this paradoxical finding may lead to a better understanding of the mechanisms that cause disparities in trauma outcomes.

Postoperative mortality after surgery for brain tumors by patient insurance status in the United States

OBJECTIVE

To examine whether being uninsured is associated with higher in-hospital postoperative mortality when undergoing surgery in the United States for a brain tumor.

DESIGN

Retrospective cohort study using the Nationwide Inpatient Sample, January 1, 1999, through December 31, 2008.

SETTING

The Nationwide Inpatient Sample contains all inpatient records from a stratified sample of 20% of hospitals in 37 states.

PATIENTS

A total of 28,581 patients, aged 18 to 65 years, who underwent craniotomy for a brain tumor. Three groups were studied: Medicaid recipients and privately insured and uninsured patients.

MAIN OUTCOME MEASURE

The main outcome measure was in-hospital postoperative death. Associations between this outcome and insurance status were examined within the full cohort and within the subset of patients with no comorbidity using Cox proportional hazards models. These models were stratified by hospital to control for any clustering effects that could arise from differing access to care.

RESULTS

In the unadjusted analysis, the mortality rate for privately insured patients was 1.3% (95% CI, 1.1%-1.4%) compared with 2.6% for uninsured patients (95% CI, 1.9%-3.3%; P < .001) and 2.3% for Medicaid recipients (95% CI, 1.8%-2.8%; P < .001). After adjusting for patient characteristics and stratifying by hospital in patients with no comorbidity, uninsured patients still had a higher risk of experiencing in-hospital death (hazard ratio, 2.62; 95% CI, 1.11-6.14; P = .03) compared with privately insured patients. In this adjusted analysis, the disparity was not conclusively present in Medicaid recipients (hazard ratio, 2.03; 95% CI, 0.97-4.23; P = .06).

CONCLUSIONS

Uninsured patients who underwent craniotomy for a brain tumor experienced the highest in-hospital mortality. Differences in overall health do not fully account for this disparity.

Trends in racial disparities for injured patients admitted to trauma centers

OBJECTIVE

To determine whether outcome disparities between black and white trauma patients have decreased over the last 10 years.

DATA SOURCE

Pennsylvania Trauma Outcome Study.

STUDY DESIGN

We performed an observational cohort study on 191,887 patients admitted to 28 Level 1 and Level II trauma centers. The main outcomes of interest were (1) death, (2) death or major complication, and (3) failure-to-rescue. Hospitals were categorized according to the proportion of black patients. Multivariate regression models were used to estimate trends in racial disparities and to assess whether the source of racial disparities was within or between hospitals.

PRINCIPAL FINDINGS

Trauma patients admitted to hospitals with high concentrations of blacks (>20 percent) had a 45 percent higher odds of death (adj OR: 1.45, 95 percent CI: 1.09-1.92) and a 73 percent higher odds of death or major complication (adj OR: 1.73, 95 percent CI: 1.42-2.11) compared with patients admitted to hospitals treating low proportions of blacks. Blacks and whites admitted to the same hospitals had no difference in mortality (adj OR: 1.05, 95 percent CI: 0.87, 1.27) or death or major complications (adj OR: 1.01; 95 percent CI: 0.90, 1.13). The odds of overall mortality, and death or major complications have been reduced by 32 percent (adj OR: 0.68; 95 percent CI: 0.54-0.86) and 28 percent (adj OR: 0.72; 95 percent CI: 0.60-0.85) between 2000 and 2009, respectively. Racial disparities did not change over 10 years.

CONCLUSION

Despite the overall improvement in outcomes, the gap in quality of care between black and white trauma patients in Pennsylvania has not narrowed over the last 10 years. Racial disparities in trauma are due to the fact that black patients are more likely to be treated in lower quality hospitals compared with whites.

Can universal coverage eliminate health disparities? Reversal of disparate injury outcomes in elderly insured minorities

BACKGROUND

Health outcome disparities in racial minorities are well documented. However, it is unknown whether such disparities exist among elderly injured patients. We hypothesized that such disparities might be reduced in the elderly owing to insurance coverage under Medicare. We investigated this issue by comparing the trauma outcomes in young and elderly patients in California.

METHODS

A retrospective analysis of the California Office of Statewide Health Planning and Development hospital discharge database was performed for all publicly available years from 1995 to 2008. Trauma admissions were identified by International Classification of Disease, Ninth Revision, primary diagnosis codes from 800 to 959, with certain exclusions. Multivariate analysis examined the adjusted risk of in-hospital mortality in young (<65 y) and elderly (≥65 y) patients, controlling for age, gender, injury severity as measured by the survival risk ratio, Charlson comorbidity index, insurance status, calendar year, and teaching hospital status.

RESULTS

A total of 1,577,323 trauma patients were identified. Among the young patients, the adjusted odds ratio of death relative to non-Hispanic whites for blacks, Hispanics, Asians, and Native Americans/others was 1.2, 1.2, 0.90, and 0.78, respectively. The corresponding adjusted odds ratios of death for elderly patients were 0.78, 0.87, 0.92, and 0.61.

CONCLUSIONS

Young black and Hispanic trauma patients had greater mortality risks relative to non-Hispanic white patients. Interestingly, elderly black and Hispanic patients had lower mortality risks compared with non-Hispanic whites.

Counting the lives lost: how many black trauma deaths are attributable to disparities?

BACKGROUND

The number of black trauma deaths attributable to racial disparities is unknown. The objective of this study was to quantify the excess mortality experienced by black patients given disparities in the risk of mortality.

MATERIALS AND METHODS

We performed a retrospective analysis of patients aged 16-65 y with blunt and penetrating injuries, who were included in the National Trauma Data Bank from 2007-2010. Generalized linear modeling estimated the relative risk of death for black patients versus white patients, adjusting for known confounders. This analysis determined the difference in the observed number of black trauma deaths at Level I and II centers and the expected number of deaths if the risk of mortality for black patients had been equivalent to that of white patients.

RESULTS

A total of 1.06 million patients were included. Among patients with blunt and penetrating injuries at Level I trauma centers, white males and females had a relative risk of death of 0.82 (95% confidence interval [CI], 0.80-0.85) and 0.78 (95% CI, 0.74-0.83), respectively, compared with black patients. Similarly, at Level II trauma centers, white males and females had a relative risk of death of 0.84 (95% CI, 0.80-0.88) and 0.82 (95% CI, 0.73-0.91). Overall, of the estimated 41,613 deaths that occurred at Level I and II centers, 2206 (5.3%) were excess deaths among black patients.

CONCLUSIONS

Over a 4-y period, approximately 5% of trauma center deaths could be attributed to racial disparities in trauma outcomes. These data underscore the need to better understand and intervene against the mechanisms that lead to trauma outcomes disparities.

Trauma deserts: distance from a trauma center, transport times, and mortality from gunshot wounds in Chicago

OBJECTIVES

We examined whether urban patients who suffered gunshot wounds (GSWs) farther from a trauma center would have longer transport times and higher mortality.

METHODS

We used the Illinois State Trauma Registry (1999-2009). Scene address data for Chicago-area GSWs was geocoded to calculate distance to the nearest trauma center and compare prehospital transport times. We used multivariate regression to calculate the effect on mortality of being shot more than 5 miles from a trauma center.

RESULTS

Of 11,744 GSW patients during the study period, 4782 were shot more than 5 miles from a trauma center. Mean transport time and unadjusted mortality were higher for these patients (P < .001 for both). In a multivariate model, suffering a GSW more than 5 miles from a trauma center was associated with an increased risk of death (odds ratio = 1.23; 95% confidence interval = 1.02, 1.47; P = .03).

CONCLUSIONS

Relative "trauma deserts" with decreased access to immediate care were found in certain areas of Chicago and adversely affected mortality from GSWs. These results may inform decisions about trauma systems planning and funding.

Disparities in mortality after blunt injury: does insurance type matter?

BACKGROUND

Insurance-related outcomes disparities are well-known, but associations between distinct insurance types and trauma outcomes remain unclear. Prior studies have generally merged various insurance types into broad groups. The purpose of this study is to determine the association of specific insurance types with mortality after blunt injury.

MATERIALS AND METHODS

Cases of blunt injury among adults aged 18-64 y with an injury severity score >9 were identified using the 2007-2009 National Trauma Data Bank. Crude mortality was calculated for 10 insurance types. Multivariable logistic regression was employed to determine difference in odds of death between insurance types, controlling for injury severity score, Glasgow Coma Scale motor, mechanism of injury, sex, race, and hypotension. Clustering was used to account for possible inter-facility variations.

RESULTS

A total of 312,312 cases met inclusion criteria. Crude mortality ranged from 3.2 to 6.0% by insurance type. Private Insurance, Blue Cross Blue Shield, Workers Compensation, and Medicaid yielded the lowest relative odds of death, while Not Billed and Self Pay yielded the highest. Compared with Private Insurance, odds of death were higher for No Fault (OR 1.25, P = 0.022), Not Billed (OR 1.77, P < 0.001), and Self Pay (OR 1.77, P < 0.001). Odds of death were higher for Medicare (OR 1.52, P < 0.001) and Other Government (OR 1.35, P = 0.049), while odds of death were lower for Medicaid (OR 0.89, P = 0.015).

CONCLUSIONS

Significant differences in mortality after blunt injury were seen between insurance types, even among those commonly grouped in other studies. Policymakers may use this information to implement programs to monitor and reduce insurance-related disparities.

Homicide as a medical outcome: racial disparity in deaths from assault in US Level I and II trauma centers

BACKGROUND

Since 1900, thousands of medical journal articles have been published on the topic of racial disparities in health and medical outcomes in the United States, including overlapping disparities based on health insurance status. But research on the question of such disparities in the medical treatment of injury from assault-matters of public safety, considerable public expense, and policy debate-is lacking.

METHODS

To determine differences by race and insurance status on death from intentional injury by others on and after trauma center arrival, propensity score matching is used to estimate adjusted mortality risk ratios by race and medical insurance controlling for facility, case, and injury characteristics. Analysis is based on a nationally representative sample of 100 Level I and II US trauma centers (National Trauma Data Bank 2005-2008) and includes 137,618 black and white assault cases aged 15 years and older: 35% white, and 65% black, with 46% of the whites and 60% of the blacks coded as uninsured.

RESULTS

Black patients showed higher overall raw mortality rates from assault than whites (8.9% vs. 5.1%), but after propensity score matching, the black to white adjusted risk ratio for death from assault (homicide) dropped significantly across firearm, cutting/piercing, and blunt injuries. After adjustment, estimated black deaths were 29% in excess of white deaths for firearm injuries, 36% in excess for cutting/piercing injuries, and 61% in excess for blunt injuries. Uninsured blacks comprised 76% of all excess trauma center deaths from assault.

CONCLUSIONS

Along with insurance status, and after excluding on-scene deaths, among patients brought to the Level I and II trauma centers, race is a substantial independent predictor of who dies from assault. Blacks, especially the uninsured, have significantly worse outcomes overall, but there is some evidence that this pattern is minimized at higher levels of injury severity.

LEVEL OF EVIDENCE

I, prognostic study.

Influence of the National Trauma Data Bank on the study of trauma outcomes: is it time to set research best practices to further enhance its impact?

BACKGROUND

Risk-adjusted analyses are critical in evaluating trauma outcomes. The National Trauma Data Bank (NTDB) is a statistically robust registry that allows such analyses; however, analytical techniques are not yet standardized. In this study, we examined peer-reviewed manuscripts published using NTDB data, with particular attention to characteristics strongly associated with trauma outcomes. Our objective was to determine if there are substantial variations in the methodology and quality of risk-adjusted analyses and therefore, whether development of best practices for risk-adjusted analyses is warranted.

STUDY DESIGN

A database of all studies using NTDB data published through December 2010 was created by searching PubMed and Embase. Studies with multivariate risk-adjusted analyses were examined for their central question, main outcomes measures, analytical techniques, covariates in adjusted analyses, and handling of missing data.

RESULTS

Of 286 NTDB publications, 122 performed a multivariable adjusted analysis. These studies focused on clinical outcomes (51 studies), public health policy or injury prevention (30), quality (16), disparities (15), trauma center designation (6), or scoring systems (4). Mortality was the main outcome in 98 of these studies. There were considerable differences in the covariates used for case adjustment. The 3 covariates most frequently controlled for were age (95%), Injury Severity Score (85%), and sex (78%). Up to 43% of studies did not control for the 5 basic covariates necessary to conduct a risk-adjusted analysis of trauma mortality. Less than 10% of studies used clustering to adjust for facility differences or imputation to handle missing data.

CONCLUSIONS

There is significant variability in how risk-adjusted analyses using data from the NTDB are performed. Best practices are needed to further improve the quality of research from the NTDB.

Lower extremity vascular injuries: increased mortality for minorities and the uninsured?

BACKGROUND

There is increasing evidence to suggest that racial disparities exist in outcomes for trauma. Minorities and the uninsured have been found to have higher mortality rates for blunt and penetrating trauma. However, mechanisms for these disparities are incompletely understood. Limiting the inquiry to a homogenous group, those with lower extremity vascular injuries (LEVIs), may clarify these disparities.

METHODS

The National Trauma Data Bank (NTDB; version 7.0, American College of Surgeons) was used for this study. LEVIs were identified using codes from the International Classification of Diseases, 9th revision. Univariate and multivariate analyses were performed using Stata software (version 11; StataCorp, LP, College Station, TX).

RESULTS

Records were reviewed for 4,928 LEVI patients. The mechanism of injury was blunt in 2,452 (49.8%), penetrating in 2,452 (49.8%), and unknown in 24 cases (0.5%). Mortality was similar by mechanism (7.6% overall). Regression analysis using mechanism as a covariate revealed a significantly worse mortality for people of color (POC; odds ratio [OR], 1.45; 95% confidence interval [CI], 1.03-2.02; P = .03) and the uninsured (UN; OR, 1.62; 95% CI, 1.15-2.23; P = .006). However, when separate analyses were performed stratifying by mechanism, no significant mortality disparities were found for blunt trauma (POC OR, 1.28; 95% CI, 0.85-1.96; P = .23; UN OR, 1.33; 95% CI, 0.78-2.22; P = .29), but disparities remained for penetrating trauma (POC OR, 1.81; 95% CI, 0.93-3.57; P = .08; UN OR, 1.85; 95% CI, 1.18-2.94; P = .009).

CONCLUSION

For patients with LEVI, mortality disparities based on race or insurance status were only observed for penetrating trauma. It is possible that injury heterogeneity or patient cohort differences may partly explain mortality disparities that have been observed between racial and socioeconomic groups.

Mechanism of injury predicts case fatality and functional outcomes in pediatric trauma patients: the case for its use in trauma outcomes studies

BACKGROUND/PURPOSE

The mechanism of injury (MOI) may serve as a useful adjunct to injury scoring systems in pediatric trauma outcomes research. The objective is to determine the independent effect of MOI on case fatality and functional outcomes in pediatric trauma patients.

METHODS

Retrospective review of pediatric patients ages 2 to 18 years in the National Trauma Data Bank from 2002 through 2006 was done. Mechanism of injury was classified by the International Classification of Diseases, Ninth Revision, E codes. The main outcome measures were mortality, discharge disposition (home vs rehabilitation setting), and functional impairment at hospital discharge. Multiple logistic regression was used to adjust for injury severity (using the Injury Severity Score and the presence of shock upon admission in the emergency department), age, sex, and severe head or extremity injury.

RESULTS

Thirty-five thousand ninety-seven pediatric patients in the National Trauma Data Bank met inclusion criteria. Each MOI had differences in the adjusted odds of death or functional disabilities as compared with the reference group (fall). The MOI with the greatest risk of death was gunshot wounds (odds ratio [OR], 3.52; 95% confidence interval [CI], 2.23-5.54 95). Pediatric pedestrians struck by a motor vehicle have the highest risk of locomotion (OR, 3.30; 95% CI, 2.89-3.77) and expression (OR, 1.65; 95% CI, 1.22-2.23) disabilities.

CONCLUSION

Mechanism of injury is a significant predictor of clinical and functional outcomes at discharge for equivalently injured patients. These findings have implications for injury prevention, staging, and prognosis of traumatic injury and posttreatment planning.