Associations of Distance to Trauma Care, Community Income, and Neighborhood Median Age With Rates of Injury Mortality

Endogeneity of pedestrian survival time and emergency medical service response time: Variations across disadvantaged and non-disadvantaged communities

The Vision Zero-Safe Systems Approach prioritizes fast access to Emergency Medical Services (EMS) to improve the survivability of road users in transportation crashes, especially concerning the recent increase in pedestrian-involved crashes. Pedestrian crashes resulting in immediate or early death are considerably more severe than those taking longer. The time gap between injury and fatality is known as survival time, and it heavily relies on EMS response time. The characteristics of the crash location may be associated with EMS response and survival time. A US Department of Transportation initiative identifies communities often facing challenges. Six disadvantaged community (DAC) indicators, including economy, environment, equity, health, resilience, and transportation access, enable an analysis of how survival and EMS response times vary across DACs and non-DACs. To this end, this study created a unique and comprehensive database by linking DACs data with 2017-2021 pedestrian-involved fatal crashes. This study utilizes two-stage residual inclusion models with segmentation for DACs and non-DACs accounting for the endogenous relationship between EMS response and pedestrian survival time. The results indicate that EMS response time is higher and pedestrian survival time is lower in DACs than in non-DACs. A delayed EMS response time is associated with a greater reduction in survival time in DACs compared to non-DACs. Factors, e.g., nighttime and interstate crashes, contribute to higher EMS response time, while pedestrian drugs, driver speeding, and hit-and-run behaviors are associated with a greater reduction in survival time in DACs than non-DACs. The implications of the findings are discussed in the paper.

Socioeconomic disadvantage is a leading variable in risk score for major amputation following emergent infrainguinal arterial bypass surgery

OBJECTIVE

The purpose of this study was to identify patients at particularly high risk for major amputation after emergent infrainguinal bypass to help tailor postoperative and long-term patient management.

METHODS

In the Vascular Quality Initiative, we identified 2126 patients who underwent emergent infrainguinal artery bypass. Two primary outcomes were investigated: major ipsilateral amputation above the ankle level during the index hospitalization and major amputation above the ankle at any time after emergent infrainguinal bypass surgery (perioperative and postdischarge combined). Binary logistic regression analysis was performed for each outcome using variables that achieved a univariable P value of ≤.10. We then determined which variables have a multivariable association for the outcomes as defined by a regression P value of ≤.05. A risk score was then created for the outcome of amputation after emergent infrainguinal bypass using weighted beta-coefficient. Variables with a multivariable P value of ≤.05 were included in the risk score and weighted based on their respective regression beta-coefficient in a point scale.

RESULTS

Overall, 17.1% of patients (368/2126) underwent major amputation at some point in follow-up after emergent infrainguinal artery bypass. The mean follow-up duration on the amputation variable was 261 days with the end point being time of amputation or time of last follow-up data on the amputation variable. Variables with a significant multivariable association (P < .05) with major amputation at any point after emergent infrainguinal arterial bypass were home status in top 10% (most deprived) of Area Deprivation Index, prior infrainguinal ipsilateral arterial bypass, prior ipsilateral endovascular arterial intervention, prosthetic bypass conduit, postoperative skin/soft tissue infection, and postoperative need to revise or thrombectomize bypass. Pertinent negatives on multivariable analysis included all baseline comorbidities, insurance status, race, and gender. There is steep progression in amputation rate ranging from 5% at scores of 0 and 1 to >60% for scores in of >10. Area under the curve analysis revealed a value of 0.706.

CONCLUSIONS

Patients living in the most disadvantaged socioeconomic neighborhoods have an increased risk of amputation after emergent infrainguinal arterial bypass independent of baseline comorbidities and perioperative events. Baseline comorbidities are not impactful regarding amputation rates after emergent infrainguinal bypass surgery. The need for bypass revision or thrombectomy during the index hospitalization is the most impactful factor toward amputation after emergency bypass. A risk score with quality accuracy has been developed to help identify patients at particularly high likelihood of limb loss, which may aid in counseling regarding heightened vigilance in postoperative and long-term follow-up care.

Racial disparities persist in mortality after firearm assault injuries: A national analysis of the Trauma Quality Improvement Program database

OBJECTIVES

It is unclear whether improvements in the delivery of trauma care over the last decade have diminished racial disparities in mortality after firearm injuries.

METHODS

The American College of Surgeons Trauma Quality Improvement Program was queried for patients (≥18 years old) who experienced penetrating firearm assault injuries between 2008 and 2018. Multivariable logistic regression was used to assess the association between mortality and race, controlling for demographics, comorbidities, shock index, injury severity score injury location, and hospital characteristics.

RESULTS

This retrospective cohort study included 261,116 patients who experienced firearm injuries secondary to assault between 2008 and 2018. Patients most frequently identified as Black (64.1%, n = 167,494), followed by White (16.3%, n = 42,649), Hispanic/Latino (15.7%, n = 41,044), and other racial groups (3.8%, n = 9,929). On multivariable logistic regression, Black patients (odds ratio, 1.53; 95% confidence interval, 1.45-1.62), and Hispanic/Latino patients (odds ratio, 1.11; 95% confidence interval, 1.03-1.19) were more likely to die after a firearm assault injury than White patients. Black patients were more likely to die in the emergency department (62.2%, n = 13,438) compared with White patients (52.7%, n = 2,838), Hispanic/Latino patients (53.0%, n = 2,635), and patients of other races (54.8%, n = 681). Across all years of the study period, Black patients had a greater risk-adjusted mortality rate than White patients and Hispanic/Latino patients.

CONCLUSION

Significant racial disparities in mortality after firearm assault continue to persist. Early death within the emergency department appears to be a significant driver of these persistent disparities.

Geographic Information Systems Mapping of Trauma Center Development in Florida

INTRODUCTION

There has been a substantial increase in the number of trauma centers (TCs) opened in the US over the past decade which coincided with population increases and policy changes. Our hypotheses were that new TC locations would likely be related to the socioeconomic profile of the surrounding locale-likely favoring higher-income areas-and that hospital ownership status may play a role in the distribution of new centers. Our aim was to use geographic information systems (GIS) analysis to evaluate the growth of an established regional TC and to delineate factors associated with the site chosen for new centers.

METHODS

ARC-GIS mapping software was utilized to generate a map of all TCs within two Florida metropolitan areas-Jacksonville and Miami. Hospital ownership was classified as for-profit (FP) or government, and opening dates were obtained from publicly available data. US census data (2020) was utilized to add sociodemographic data (race, income, insurance status) by zip code.

RESULTS

The majority of newer TCs opened in Duval/Clay and Dade/Broward counties were FP. GIS mapping demonstrated that 100% of new TCs demonstrated higher mean charges compared to established TC and were located in higher-income neighborhoods where residents were more likely to have health insurance with fewer African-American residents.

CONCLUSIONS

Most TCs added to two of the largest metropolitan areas within Florida over the past decade were FP. These TCs demonstrated higher mean charges and tended to be located in areas of higher-income neighborhoods with better insured residents and fewer African-Americans. Such data suggest that more oversight is potentially needed to regulate and organize trauma system development to address trauma need rather than financial incentive alone.

A Segmented Regression Analysis of Household Income and Recurrent Falls Among Adults in a National Cohort Study

Falls can have life-altering consequences for older adults, including extended recovery periods and compromised independence. Higher household income may mitigate the risk of falls by providing financial resources for mobility tools, remediation of environmental hazards, and needed supports, or it may buffer the impact of an initial fall on subsequent risk through improved assistance and care. Household income has not had a consistently observed association with falls in older adults; however, a segmented association may exist such that associations are attenuated above a certain income threshold. In this study, we utilized segmented negative binomial regression analysis to examine the association between household income and recurrent falls among 2,302 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study recruited between 2003 and 2007. Income-fall association segments separated by changes in slope were considered. Model results indicated a 2-segment association between household income and recurrent falls in the past year. In the range below the breakpoint, household income was negatively associated with the rate of recurrent falls across all age groups examined; in a higher income range (from $20,000-$49,999 to ≥$150,000), the association was attenuated (weaker negative trend) or reversed (positive trend). These findings point to potential benefits of ensuring that incomes for lower-income adults exceed the threshold needed to confer a reduced risk of recurrent falls.

Insurance Not Socioeconomic Status is Associated With Access to Postacute Care After Injury: A Multicenter Cohort Study

INTRODUCTION

Access to postacute care services in rehabilitation or skilled nursing facilities is essential to return trauma patients to their preinjury functional level but is often hindered by systemic barriers. We sought to study the association between the type of insurance, socioeconomic status (SES) measures, and postacute care utilization after injury.

METHODS

Adult trauma patients with an Injury Severity Score (ISS) ≥9 admitted to one of three Level I trauma centers were contacted 6-12 mo after injury to gather long-term functional and patient-centered outcome measures. In addition to SES inquiry specifically focused on education and income levels, patients were asked to subjectively categorize their perceived SES (p-SES) as high, mid-high, mid-low, or low. Insurance and income data were retrieved from trauma registries. Multivariable regression models were built to determine the association between type of insurance, SES, and discharge disposition after adjusting for patient and injury characteristics and hospitalization events.

RESULTS

A total of 1373 patients were included, of which 44% were discharged to postacute care facilities. The median age (IQR) was 65 (46, 76) years, 56% of patients were male, 11% were on Medicaid, 68% had attained education higher than high school, 27% had low income, and 29% reported a low/mid-low p-SES. Medicaid patients were less likely to be discharged to postacute care compared to privately insured (OR [95% CI]: 0.41 [0.29-0.58]) and Medicare patients (OR [95% CI]: 0.29 [0.16-0.50]). The latter relationship was true across p-SES categories. P-SES, income and educational level were not associated with discharge destination.

CONCLUSIONS

Insurance status, specifically having Medicaid, can pose a barrier to access to postacute care services in the trauma patient population across patients of all SES. Initiatives and policies that aim at reducing these access disparities are warranted.

Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) prior to interfacility transfer: Who might benefit in a statewide trauma system?

BACKGROUND

Rural trauma patients are often seen at lower-level trauma centers before transfer and have higher mortality than those seen initially at a Level 1 Trauma Center. This study aims to describe the potential for Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) to bridge this mortality gap.

METHODS

We queried the Arizona Trauma Registry between 2014 and 2017 for hypotensive patients who were later transported to a level 1 center. REBOA candidates were identified as those with injuries consistent with major infra-diaphragmatic torso hemorrhage as the likely cause of death.

RESULTS

Of 17,868 interfacility transfers during the study period, 333 met inclusion criteria and had sufficient data for evaluation. 26 of the 333 patients were identified as REBOA candidates.

CONCLUSIONS

Our study suggests that REBOA may be an effective means to extend survivability to those severely injured trauma patients needing interfacility transfer to a higher level of care.

Associations Between Psychiatric Diagnoses on Length of Stay and Mortality After Rib Fracture: A Retrospective Analysis

INTRODUCTION

Concurrent psychiatric diagnoses adversely impact outcomes in surgical patients, but their relationship to patients with rib fracture after trauma is less understood. We hypothesized that psychiatric comorbidity would be associated with increases in hospital length of stay (LOS) and mortality risk after rib fracture.

MATERIALS AND METHODS

The 2017 National Inpatient Sample was queried for adult patients who were admitted with rib fracture after trauma. Mental health disorders were categorized into 34 psychiatric diagnosis groups (PDGs) using clinical classifications software refined for International Classification of Diseases-10. Outcomes of interest were LOS and mortality. Bivariable analysis determined associations between PDGs, patient demographics, hospital characteristics, and outcomes. Logistic regression was performed to identify adjusted effects on mortality, and linear regression was performed to identify effects on LOS.

RESULTS

Of 32,801 patients, median age was 61 y (IQR 46-76), and median LOS was 5 d (IQR 3-9). No PDGs were associated with increased odds of mortality. Concurrent diagnosis of schizophrenia spectrum (Coeff. 3.5, 95% CI 2.7-4.4, P < 0.001) or trauma- or stressor-related (Coeff. 1.6, 95% CI 0.9-2.5, P < 0.001) disorders demonstrated the greatest association with prolonged LOS. Increased odds of death and prolonged hospital stay were also associated with male sex, non-White patient race, and surgery occurring at urban and public hospitals.

CONCLUSIONS

Psychiatric comorbidities are associated with death after rib fracture but are associated with increased LOS. These findings may help promote multidisciplinary patient management in trauma.

Pediatric Trauma Care Standardization: A Statewide Survey of Trauma Providers and Program Managers

INTRODUCTION

Rural-urban disparities in pediatric trauma outcomes are well documented. However, few studies examine how differences in setting and resources impact rural providers' approach to trauma. We sought to understand the provider experience in managing injured children across our state and assess the potential for standardization of care.

METHODS

A statewide cross-sectional survey was distributed to trauma providers and program managers through the American College of Surgeons, the Oregon Medical Board lists, and the State Trauma Advisory Board. Topics included pediatric management processes, challenges, and transfer or admission procedures. Rural-urban commuting codes were used to categorize responses.

RESULTS

Of the 350 individuals who sent the survey, 68 responded (response rate 19%), representing 67% of trauma-verified hospitals and 72% of Oregon counties. Fifty-six respondents (82%) care for injured children, with 58% practicing rurally and 22% at critical access hospitals. Rural providers experienced lower trauma volumes (<1 patient/month, 63% versus 0%, P < 0.001), more difficulties obtaining pediatric-appropriate material resources (44% versus 30%), and challenges caring for infants/toddlers (25% versus 17%). Despite 77% of rural providers stating that <10% of patients had multisystem injuries, they described using full-body CT often (41% versus 10%, P = 0.007). Transfer interruptions were common (93%), with 44% having cancelled a transfer. The majority supported admission/transfer (85%) and imaging (82%) protocols.

CONCLUSIONS

Rural providers experience lower pediatric trauma volumes, greater material-resource issues, and discomfort with traumatically injured small children. Lack of care standardization may lead to reliance on full-body CT, and potentially complex/avoidable transfers. Adoption of standardized protocols could facilitate a state-wide collaborative approach to pediatric trauma management.

Mechanisms of traumatic injury by demographic characteristics: an 8-year review of temporal trends from the National Trauma Data Bank

BACKGROUND/PURPOSE

This 8-year retrospective study of the National Trauma Data Bank describes temporal trends of traumatic injury by mechanism of injury (MOI) by demographic characteristics from 2012 to 2019 for adult patients 18 years and older.

METHODS

Overall, 5 630 461 records were included after excluding those with missing demographic information and International Classification of Disease codes. MOIs were calculated as proportions of total injury by year. Temporal trends of MOI were evaluated using two-sided non-parametric Mann-Kendall trend tests for (1) all patients and (2) within racial and ethnic groups (ie, Asian, 2% of total patient sample; Black, 14%; Hispanic or Latino, 10%; Multiracial, 3%; Native American, <1%; Pacific Islander, <1%; White, 69%) and stratified by age and sex.

RESULTS/OUTCOMES

For all patients, falls increased over time (p=0.001), whereas burn (p<0.01), cut/pierce (p<0.01), cyclist (p=0.01), machinery (p<0.001), motor vehicle transport (MVT) motorcyclist (p<0.001), MVT occupant (p<0.001) and other blunt trauma (p=0.03) injuries decreased over time. The proportion of falls increased across all racial and ethnic groups and significantly for those aged 65 and older. There were further differences in decreasing trends of MOI by racial and ethnic categories and by age groups.

CONCLUSIONS

These results suggest that falls are an important injury prevention target with an ageing US population across all racial and ethnic groups. Differing injury profiles by racial and ethnic identity indicate that injury prevention efforts be designed accordingly and targeted specifically to individuals most at risk for specific MOIs.

STUDY TYPE

Level I, prognostic/epidemiological.

Current patterns of trauma center proliferation have not led to proportionate improvements in access to care or mortality after injury: An ecologic study

BACKGROUND

Timely access to high-level (I/II) trauma centers (HLTCs) is essential to minimize mortality after injury. Over the last 15 years, there has been a proliferation of HLTC nationally. The current study evaluates the impact of additional HLTC on population access and injury mortality.

METHODS

A geocoded list of HLTC, with year designated, was obtained from the American Trauma Society, and 60-minute travel time polygons were created using OpenStreetMap data. Census block group population centroids, county population centroids, and American Communities Survey data from 2005 and 2020 were integrated. Age-adjusted nonoverdose injury mortality was obtained from CDC Wide-ranging Online Data for Epidemiologic Research and the Robert Wood Johnson Foundation. Geographically weighted regression models were used to identify independent predictors of HLTC access and injury mortality.

RESULTS

Over the 15-year (2005-2020) study period, the number of HLTC increased by 31.0% (445 to 583), while population access to HLTC increased by 6.9% (77.5-84.4%). Despite this increase, access was unchanged in 83.1% of counties, with a median change in access of 0.0% (interquartile range, 0.0-1.1%). Population-level age-adjusted injury mortality rates increased by 5.39 per 100,000 population during this time (60.72 to 66.11 per 100,000). Geographically weighted regression controlling for population demography and health indicators found higher median income and higher population density to be positively associated with majority (≥50%) HLTC population coverage and negatively associated with county-level nonoverdose mortality.

CONCLUSION

Over the past 15 years, the number of HLTC increased 31%, while population access to HLTC increased only 6.9%. High-level (I/II) trauma center designation is likely driven by factors other than population need. To optimize efficiency and decrease potential oversupply, the designation process should include population level metrics. Geographic information system methodology can be an effective tool to assess optimal placement.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level IV.

Just Plain Hot: Examining Summer Daily High Heat Indices and Community-Level Social Vulnerability on Emergency Medical Services On-Scene Responses in San Antonio, Texas, 2015-2018

Introduction Increased summer heat has a deleterious effect on people's health and the healthcare system. Emergency Medical Services (EMS) are at the healthcare system frontline, responsive to the community and environmental conditions. The present study examined how EMS on-scene response is affected by community-level social vulnerability and heat. Methods The Centers for Disease Control and Prevention's Social Vulnerability Index, heat and humidity data from the National Weather Service, and City of San Antonio EMS data were collected. Data were analyzed using negative binomial regression models with time-stratified case-crossover design to observe independent and interactive effects of heat and social vulnerability on EMS on-scene response over four constricted calendar years. Results Results indicated that community-based social vulnerability and heat, independently and interactively, are associated with increased EMS on-scene responses. Conclusion Even when examining normal summertime heat conditions, there is evidence of the relationships between geographic and environmental conditions and the healthcare system.

Developing a National Trauma Research Action Plan: Results from the trauma systems and informatics panel Delphi survey

BACKGROUND

The National Academies of Sciences, Engineering, and Medicine 2016 report on the trauma care system recommended establishing a National Trauma Research Action Plan to strengthen and guide future trauma research. To address this recommendation, the Department of Defense funded a study to generate a comprehensive research agenda spanning the trauma and burn care continuum. Panels were created to conduct a gap analysis and identify high-priority research questions. The National Trauma Research Action Plan panel reported here addressed trauma systems and informatics.

METHODS

Experts were recruited to identify current gaps in trauma systems research, generate research questions, and establish the priorities using an iterative Delphi survey approach from November 2019 through August 2020. Panelists were identified to ensure heterogeneity and generalizability, including military and civilian representation. Panelists were encouraged to use a PICO format to generate research questions: patient/population, intervention, compare/control, and outcome. In subsequent surveys, panelists prioritized each research question on a 9-point Likert scale, categorized as low-, medium-, and high-priority items. Consensus was defined as ≥60% agreement.

RESULTS

Twenty-seven subject matter experts generated 570 research questions, of which 427 (75%) achieved the consensus threshold. Of the consensus reaching questions, 209 (49%) were rated high priority, 213 (50%) medium priority, and 5 (1%) low priority. Gaps in understanding the broad array of interventions were identified, including those related to health care infrastructure, technology products, education/training, resuscitation, and operative intervention. The prehospital phase of care was highlighted as an area needing focused research.

CONCLUSION

This Delphi gap analysis of trauma systems and informatics research identified high-priority research questions that will help guide investigators and funding agencies in setting research priorities to continue to work toward Zero Preventable Deaths after trauma.

LEVEL OF EVIDENCE

Therapeutic/Care Management; Level IV.

Disparities in Care Among Gunshot Victims: A Nationwide Analysis

INTRODUCTION

Given the well-known healthcare disparities most pronounced in racial and ethnic minorities, trauma healthcare in underrepresented patients should be examined, as in-hospital bias may influence the care rendered to patients. This study seeks to examine racial differences in outcomes and resource utilization among victims of gunshot wounds in the United States.

METHODS

This is a retrospective review of the National Trauma Data Bank (NTDB) conducted from 2007 to 2017. The NTDB was queried for patients who suffered a gunshot wound not related to accidental injury or suicide. Patients were stratified according to race. The primary outcome for this study was mortality. Secondary outcomes included racial differences in resource utilization including air transport and discharge to rehabilitation centers. Univariate and multivariate analyses were used to compare differences in outcomes between the groups.

RESULTS

A total of 250,675 patients were included in the analysis. After regression analysis, Black patients were noted to have greater odds of death compared to White patients (odds ratio [OR] 1.14, confidence interval [CI] 1.037-1.244; P = 0.006) and decreased odds of admission to the intensive care unit (ICU) (OR 0.76, CI 0.732-0.794; P < 0.001). Hispanic patients were significantly less likely to be discharged to rehabilitation centers (Hispanic: 0.78, CI 0.715-0.856; P < 0.001). Black patients had the shortest time to death (median time in minutes: White 49 interquartile range [IQR] [9-437] versus Black 24 IQR [7-205] versus Hispanic 39 IQR [8-379] versus Asian 60 [9-753], P < 0.001).

CONCLUSIONS

As society carefully examines major institutions for implicit bias, healthcare should not be exempt. Greater mortality among Black patients, along with differences in other important outcome measures, demonstrate disparities that encourage further analysis of causes and solutions to these issues.

Greater spatial access to care is associated with lower mortality for emergency general surgery

BACKGROUND

Emergency general surgery (EGS) diseases are time-sensitive conditions that require urgent surgical evaluation, yet the effect of geographic access to care on outcomes remains unclear. We examined the association of spatial access with outcomes for common EGS conditions.

METHODS

A retrospective analysis of twelve 2014 State Inpatient Databases, identifying adults admitted with eight EGS conditions, was performed. We assessed spatial access using the spatial access ratio (SPAR)-an advanced spatial model that accounts for travel distance, hospital capacity, and population demand, normalized against the national mean. Multivariable regression models adjusting for patient and hospital factors were used to evaluate the association between SPAR with (a) in-hospital mortality and (b) major morbidity.

RESULTS

A total of 877,928 admissions, of which 104,332 (2.4%) were in the lowest-access category (SPAR, 0) and 578,947 (66%) were in the high-access category (SPAR, ≥1), were analyzed. Low-access patients were more likely to be White, male, and treated in nonteaching hospitals. Low-access patients also had higher incidence of complex EGS disease (low access, 31% vs. high access, 12%; p < 0.001) and in-hospital mortality (4.4% vs. 2.5%, p < 0.05). When adjusted for confounding factors, including presence of advanced hospital resources, increasing spatial access was protective against in-hospital mortality (adjusted odds ratio, 0.95; 95% confidence interval, 0.94-0.97; p < 0.001). Spatial access was not significantly associated with major morbidity.

CONCLUSION

This is the first study to demonstrate that geospatial access to surgical care is associated with incidence of complex EGS disease and that increasing spatial access to care is independently associated with lower in-hospital mortality. These results support the consideration of spatial access in the development of regional health systems for EGS care.

LEVEL OF EVIDENCE

Prognostic and Epidemiologic; Level III.

Nationwide Analysis of the Distribution of Level 1 and Level 2 Trauma Centers Per Population Growth and Motor Vehicle Collision Injuries/Fatalities Utilizing Geographic Information Systems Mapping Technology: Toward Optimizing Access to Trauma Care

BACKGROUND

Trauma centers (TCs) improve patient outcomes. Few investigations detail the US geographical distribution of Level 1 and 2 TCs (L1TCs, L2TCs) regarding motor vehicle collision (MVC) injuries/fatalities.

OBJECTIVE

We utilized Geographic Information Systems mapping to investigate the distribution of L1TCs and L2TCs in relation to population growth, MVC injuries, and MVC fatalities at the county and regional level to identify any disparities in access to trauma care.

METHODS

A cross-sectional analysis of L1TC and L2TC distribution, MVC injuries/fatalities, and population growth from 2010 to 2018. Information was gathered at the county and region level for young adults (aged 15-44), middle-aged adults (45-64), and elderly (≥65).

RESULTS

A total of 263 L1TCs across 46 states and 156 counties and 357 L2TCs across 44 states and 255 counties were identified. The mean distance between L1TCs and L2TCs is 28.3 miles and 31.1 miles, respectively. Seven counties were identified as being at-risk, all in the Western and Southern US regions that experienced ≥10% increase in population size, upward trends in MVC injuries, and upward trends MVC fatalities across all age groups.

CONCLUSIONS

Seven US counties containing ≤2 ACSCOT-verified and/or state-designated L1TCs or L2TCs experienced a 10% increase in population, MVC injuries, and MVC fatalities across young, middle-aged and elderly adults from 2010 to 2018. This study highlights chronic disparities in access to trauma care for MVC patients. Evaluation of state limitations regarding the distribution of L1TCs and L2TCs, frequent evaluation of local and regional trauma care needs, and strategic interventions to improve access to trauma care may improve patient outcomes for heavily burdened counties.

Effect of Air Transport Delay on Mortality in Critical Illness: A Population-Based Cohort Study

OBJECTIVE

For critically ill patients in remote areas, we assessed the association of transport delay via fixed wing air ambulance on 30-day mortality, excluding interhospital transports.

METHODS

This was a retrospective cohort analysis of all such adult transports in Manitoba, Canada, over 5.4 years. Causal mediation analysis was used, with the Acute Physiology and Chronic Health Evaluation II Acute Physiology Score at the destination intensive care unit as the mediator. The covariates were age, sex, comorbidities, socioeconomic status, and physiologic variables from the sending site.

RESULTS

The primary cohort was composed of 554 patients; 113 (20.4%) died within 30 days. The total transport delay (mean ± standard deviation) was 5.1 ± 1.7 hours. Compared with no delay, the average 5-hour transport delay was associated with an odds ratio for mortality of 1.34 with a 95% confidence interval from 40% lower to 270% higher, with 60% of the influence of total travel time attributable to worsening of patients' acute physiologic status during the delay in intensive care unit admission due to transport.

CONCLUSIONS

Although these findings provide insufficient evidence for an effect of fixed wing air transport delay on mortality among critically ill patients, they underscore the need for additional and larger studies on this topic.

Pediatric Traumatic Brain Injury in a Geographically Dispersed Population: A Relationship Between Distance to Definitive Neurosurgical Treatment and Outcome

BACKGROUND

There are limited data on the association between transport distance and outcomes in pediatric patients with severe traumatic brain injuries (sTBIs), despite children having to travel further to pediatric trauma centers (PTCs).

OBJECTIVE

To assess whether distance from a PTC is associated with outcomes in children who undergo cranial surgery after sTBI.

METHODS

Children with sTBI who underwent craniectomy/craniotomy at our PTC between 2010 and 2019 were identified retrospectively. Of these 92 patients, 83 sustained blunt injury and underwent surgery within 24 hours. The distance from injury location to PTC was based on injury zip code and calculated as Euclidean distance. Variables associated with transport, including distance, time, and rural-urban disparity, were analyzed for correlation with poor outcome.

RESULTS

Of the 83 patients identified, 81 had injury location information. Forty patients were injured within 30 miles and 41 were injured ≥30 miles from the PTC. Injury severity and pediatric trauma scores were not significantly different between groups. Sixty-eight children (82%) had a satisfactory outcome and 10 children (12%) died. There was a nonsignificant association between distance traveled and poor outcome, even when the cohort was stratified into those with subdural hematomas and those with nonabusive injuries.

CONCLUSIONS

Regardless of the distance from the PTC at which their injury occurred, most children in this cohort made a moderate to good recovery. Children injured at greater distances from the PTC did not have worse outcomes; however, studies with larger cohorts are needed to more definitively assess prehospital pediatric transport systems in this population.

Do social determinants of health impact access to neurosurgical care in the United States? A workforce perspective

OBJECTIVE

This study attempts to use neurosurgical workforce distribution to uncover the social determinants of health that are associated with disparate access to neurosurgical care.

METHODS

Data were compiled from public sources and aggregated at the county level. Socioeconomic data were provided by the Brookings Institute. Racial and ethnicity data were gathered from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research. Physician density was retrieved from the Health Resources and Services Administration Area Health Resources Files. Catchment areas were constructed based on the 628 counties with neurosurgical coverage, with counties lacking neurosurgical coverage being integrated with the nearest covered county based on distances from the National Bureau of Economic Research's County Distance Database. Catchment areas form a mutually exclusive and collectively exhaustive breakdown of the entire US population and licensed neurosurgeons. Socioeconomic factors, race, and ethnicity were chosen as independent variables for analysis. Characteristics for each catchment area were calculated as the population-weighted average across all contained counties. Linear regression analysis modeled two outcomes of interest: neurosurgeon density per capita and average distance to neurosurgical care. Coefficient estimates (CEs) and 95% confidence intervals were calculated and scaled by 1 SD to allow for comparison between variables.

RESULTS

Catchment areas with higher poverty (CE = 0.64, 95% CI 0.34-0.93) and higher prime age employment (CE = 0.58, 95% CI 0.40-0.76) were significantly associated with greater neurosurgeon density. Among categories of race and ethnicity, catchment areas with higher proportions of Black residents (CE = 0.21, 95% CI 0.06-0.35) were associated with greater neurosurgeon density. Meanwhile, catchment areas with higher proportions of Hispanic residents displayed lower neurosurgeon density (CE = -0.17, 95% CI -0.30 to -0.03). Residents of catchment areas with higher housing vacancy rates (CE = 2.37, 95% CI 1.31-3.43), higher proportions of Native American residents (CE = 4.97, 95% CI 3.99-5.95), and higher proportions of Hispanic residents (CE = 2.31, 95% CI 1.26-3.37) must travel farther, on average, to receive neurosurgical care, whereas people living in areas with a lower income (CE = -2.28, 95% CI -4.48 to -0.09) or higher proportion of Black residents (CE = -3.81, 95% CI -4.93 to -2.68) travel a shorter distance.

CONCLUSIONS

Multiple factors demonstrate a significant correlation with neurosurgical workforce distribution in the US, most notably with Hispanic and Native American populations being associated with greater distances to care. Additionally, higher proportions of Hispanic residents correlated with fewer neurosurgeons per capita. These findings highlight the interwoven associations among socioeconomics, race, ethnicity, and access to neurosurgical care nationwide.

Nationwide analysis of proximity of America College of Surgeons--verified and state-designated trauma centers to the nearest highway exit and associated prehospital motor vehicle collision fatalities

BACKGROUND

Motor vehicle collisions remain a leading cause of trauma-related deaths. We aim to investigate the relationship between the proximity of trauma centers to the nearest highway exit and prehospital motor vehicle collision fatalities at the county level nationwide.

METHODS

This was a cross-sectional study evaluating the association between the distance of trauma centers to the nearest highway exit and prehospital motor vehicle collision fatalities between the years 2014 and 2019. Prehospital motor vehicle collision fatalities were obtained from National Highway Traffic Safety Administration. Mapping software was used to determine the distance of trauma center to the nearest highway exit and transport time. Linear regression analysis was performed.

RESULTS

A total of 2,019 American College of Surgeons-verified and/or state-designated trauma centers were included (211 Level 1, 356 Level 2, 491 Level 3, and 961 Level 4 trauma centers). Prehospital motor vehicle collision fatalities were positively correlated with the distance of trauma center to the nearest highway exit for counties with trauma centers located ≤5 miles from the nearest highway exit (r = 0.328; P < .001). In the 612 counties with a 10% increase in prehospital motor vehicle collision fatalities from 2014 to 2019, prehospital motor vehicle collision fatalities were also positively correlated with distance to the nearest highway exit (r = 0.302; P < .001). The counties with more dispersed distributions of trauma centers were significantly associated with motor vehicle collision fatalities (Spearman's rank coefficient = 0.456; 95% confidence interval, 0.163-0.675; P = .003).

CONCLUSION

Shorter distances between trauma centers and the nearest highway exit are associated with fewer prehospital motor vehicle collision fatalities for counties with trauma centers ≤5 miles of the nearest highway exit. Further enhancement of existing highway infrastructure and standardization of emergency medical services transport protocols are needed to address the burden of prehospital motor vehicle collision fatalities in the United States.

Defining Referral Regions for Inpatient Trauma Care: The Utility of a Novel Geographic Definition

INTRODUCTION

Geographic variation is an inherent feature of the US health system. Despite efforts to account for geographic variation in trauma system strengthening, it remains unclear how trauma "regions" should be defined. The objective of this study is to evaluate the utility of a novel definition of Trauma Referral Regions (TRR) for assessing geographic variation in inpatient trauma across the age span of hospitalized trauma patients.

METHODS

Using 2016-2017 State Inpatient Databases, we assessed the extent of geographic variability in three common metrics of hospital use (localization index, market share index, net patient flow) among TRRs and, as a comparison, trauma regions alternatively defined based on Hospital Referral Regions, Hospital Service Areas, and counties.

RESULTS

A total of 860,593 admissions from 102 TRRs, 127 Hospital Referral Regions, 884 Hospital Service Areas, and 583 counties were included. Consistent with expectations for distinct trauma regions, TRR presented with high average localization indices (mean [standard deviation]: 83.4 [11.7%]), low market share indices (mean [standard deviation]: 11.9 [7.0%]), and net patient flows close to 1.00. Similar results were found among stratified pediatric, adult, and older adult patients. Associations between TRRs and variations in important demographic features (e.g., travel time by road to the nearest Level I or II Trauma Center) suggest that while indicative of standalone trauma regions, TRRs are also able to simultaneously capture critical variations in regional trauma care.

CONCLUSIONS

TRRs offer a standalone set of geographic regions with minimal variation in common metrics of hospital use, minimal geographic clustering, and preserved associations with important demographic factors. They provide a needed, valid means of assessing geographic variation among trauma systems.

Emergency general surgery: impact of distance and rurality on mortality

BACKGROUND

There is debate about whether the distance from hospital, or rurality, impacts outcomes in patients admitted under emergency general surgery (EGS). The aim of this study was to determine whether distance from hospital, or rurality, affects the mortality of emergency surgical patients admitted in Scotland.

METHODS

This was a retrospective population-level cohort study, including all EGS patients in Scotland aged 16 years or older admitted between 1998 and 2018. A multiple logistic regression model was created with inpatient mortality as the dependent variable, and distance from hospital (in quartiles) as the independent variable of interest, adjusting for age, sex, co-morbidity, deprivation, admission origin, diagnosis category, operative category, and year of admission. A second multiple logistic regression model was created with a six-fold Scottish Urban Rural Classification (SURC) as the independent variable of interest. Subgroup analyses evaluated patients who required operations, emergency laparotomy, and inter-hospital transfer.

RESULTS

Data included 1 572 196 EGS admissions. Those living in the farthest distance quartile from hospital had lower odds of mortality than those in the closest quartile (OR 0.829, 95 per cent c.i. 0.798 to 0.861). Patients from the most rural areas (SURC 6) had higher odds of survival than those from the most urban (SURC 1) areas (OR 0.800, 95 per cent c.i. 0.755 to 0.848). Subgroup analysis showed that these effects were not observed for patients who required emergency laparotomy or transfer.

CONCLUSION

EGS patients who live some distance from a hospital, or in rural areas, have lower odds of mortality, after adjusting for multiple covariates. Rural and distant patients undergoing emergency laparotomy have no survival advantage, and transferred patients have higher mortality.

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.

Concept review of regionalized systems of acute care: Is regionalization the next frontier in sepsis care?

Regionalization has become a buzzword in US health care policy. Regionalization, however, has varied meanings, and definitions have lacked contextual information important to understanding its role in improving care. This concept review is a comprehensive primer and summation of 8 common core components of the national models of regionalization informed by text-based analysis of the writing of involved organizations (professional, regulatory, and research) guided by semistructured interviews with organizational leaders. Further, this generalized model of regionalized care is applied to sepsis care, a novel discussion, drawing on existing small-scale applications. This discussion highlights the fit of regionalization principles to the sepsis care model and the actualized and perceived potential benefits. The principal aim of this concept review is to outline regionalization in the United States and provide a roadmap and novel discussion of regionalized care integration for sepsis care.

Association between pediatric TBI mortality and median family income in the United States: A retrospective cohort study

BACKGROUND

There are regional disparities in pediatric traumatic brain injury (TBI) mortality across the United States, but the factors underlying these differences are unclear.

METHODS

We performed a retrospective cross-sectional analysis of the Pediatric Health Information System database including inpatient hospital encounters for children less than 18 years old with a primary diagnosis of TBI between 2010-2019.

FINDINGS

Lower median family income was associated with pediatric TBI mortality. Encounters from zip-codes with a median family income of <$20,000 had a 3.1% (29/950) mortality, as opposed to 1.3% (29/2,267) mortality for zip-codes with a median family income of >$80,000 (p = 0.00096). In multivariable logistic regression, every $10,000 of income was associated with an odds ratio of mortality of 0.94 (95% confidence interval 0.90 - 0.98). 82.5% (397/481) of ballistic TBI injuries were caused by a firearm. Lower income was associated with a higher proportion of ballistic TBI injuries (2.5% [24/950] for <$20,000 versus 0.3% [7/2,267] for >$80,000, p < 0.0001). In multivariable logistic regression, ballistic TBI injuries were associated with an odds ratio of mortality of 5.19 (95% confidence interval 4.00 - 6.73). United States regional variation in pediatric TBI mortality was linearly associated with the percentage of ballistic TBI (adjusted r-squared 0.59, p = 0.0097).

INTERPRETATION

Children from lower income zip-codes are more likely to sustain a ballistic TBI, and more likely to die. Further work is necessary to determine causal factors underlying these associations and to design interventions that prevent these injuries and/or improve outcomes.

Association of Clinical Guidelines and Decision Support with Computed Tomography Use in Pediatric Mild Traumatic Brain Injury

OBJECTIVE

To examine whether the presence of clinical guidelines and clinical decision support (CDS) for mild traumatic brain injury (mTBI) are associated with lower use of head computed tomography (CT).

STUDY DESIGN

We conducted a cross-sectional study of 45 pediatric emergency departments (EDs) in the Pediatric Hospital Information System from 2015 through 2019. We included children discharged with mTBI and surveyed ED clinical directors to ascertain the presence and implementation year of clinical guidelines and CDS. The association of clinical guidelines and CDS with CT use was assessed, adjusting for relevant confounders. As secondary outcomes, we evaluated ED length of stay and rates of 3-day ED revisits and admissions after revisits.

RESULTS

There were 216 789 children discharged with mTBI, and CT was performed during 20.3% (44 114/216 789) of ED visits. Adjusted hospital-specific CT rates ranged from 11.8% to 34.7% (median 20.5%, IQR 17.3%, 24.3%). Of the 45 EDs, 17 (37.8%) had a clinical guideline, 9 (20.0%) had CDS, and 19 (42.2%) had neither. Compared with EDs with neither a clinical guideline nor CDS, visits to EDs with CDS (aOR 0.52 [0.47, 0.58]) or a clinical guideline (aOR 0.83 [0.78, 0.89]) had lower odds of including a CT for mTBI. ED length of stay and revisit rates did not differ based on the presence of a clinical guideline or CDS.

CONCLUSIONS

Clinical guidelines for mTBI, and particularly CDS, were associated with lower rates of head CT use without adverse clinical outcomes.

Psychoactive substances have major impact on injuries in rural arctic Norway - A prospective observational study

BACKGROUND

Rural areas have increased injury mortality with a high pre-hospital death rate. Knowledge concerning the impact of psychoactive substances on injury occurrence is lacking for rural arctic Norway. These substances are also known to increase pre-, per- and postoperative risk. The aim was by prospective observational design to investigate the prevalence and characteristics of psychoactive substance use among injured patients in Finnmark county.

METHODS

From January 2015 to August 2016, patients ≥18 years admitted to hospitals in Finnmark due to injury were approached when competent. Blood was analysed for ethanol, sedatives, opioids, hypnotics and illicit substances in consenting patients, who completed a questionnaire gathering demographic factors, self-reported use/behaviour and incident circumstances.

RESULTS

In 684 injured patients who consented to participation (81% consented), psychoactive substances were detected in 35.7%, alcohol being the most prevalent (23%). Patients in whom substances were detected were more often involved in violent incidents (odds ratio 8.92 95% confidence interval 3.24-24.61), indicated harmful use of alcohol (odds ratio 3.56, 95% confidence interval 2.34-5.43), reported the incident being a fall (odds ratio 2.21, 95% confidence interval 1.47-3.33) and presented with a reduced level of consciousness (odds ratio 3.91, 95% confidence interval 1.58-9.67). Subgroup analysis revealed significant associations between testing positive for a psychoactive substance and being diagnosed with a head injury or traumatic brain injury.

CONCLUSION

A significant proportion of injured patients had used psychoactive substances prior to admission. Use was associated with violence, falls, at-risk alcohol consumption, decreased level of consciousness on admittance and head injury.

Māori health outcomes in an intensive care unit in Aotearoa New Zealand

Māori are the indigenous people of New Zealand, and suffer disparate health outcomes compared to non-Māori. Waikato District Health Board provides level III intensive care unit services to New Zealand's Midland region. In 2016, our institution formalised a corporate strategy to eliminate health inequities for Māori. Our study aimed to describe Māori health outcomes in our intensive care unit and identify inequities. We performed a retrospective audit of prospectively entered data in the Australian and New Zealand Intensive Care Society database for all general intensive care unit admissions over 15 years of age to Waikato Hospital from 2014 to 2018 (n = 3009). Primary outcomes were in-intensive care unit and in-hospital mortality. The secondary outcome was one-year mortality. In our study, Māori were over-represented relative to the general population. Compared to non-Māori, Māori patients were younger (51 versus 61 years, P < 0.001), and were more likely to reside outside of the Waikato region (37.2% versus 28.0%, P < 0.001) and in areas of higher deprivation (P < 0.001). Māori had higher admission rates for trauma and sepsis (P < 0.001 overall) and required more renal replacement therapy (P < 0.001). There was no difference in crude and adjusted mortality in-intensive care unit (16.8% versus 16.5%, P = 0.853; adjusted odds ratio 0.98 (95% confidence interval 0.68 to 1.40)) or in-hospital (23.7% versus 25.7%, P = 0.269; adjusted odds ratio 0.84 (95% confidence interval 0.60 to 1.18)). One-year mortality was similar (26.1% versus 27.1%, P=0.6823). Our study found significant ethnic inequity in the intensive care unit for Māori, who require more renal replacement therapy and are over-represented in admissions, especially for trauma and sepsis. These findings suggest upstream factors increasing Māori risk for critical illness. There was no difference in mortality outcomes.

Challenges in Predicting Discharge Disposition for Trauma and Emergency General Surgery Patients

BACKGROUND

Changes in discharge disposition and delays in discharge negatively impact the patient and hospital system. Our objectives were¹ to determine the accuracy with which trauma and emergency general surgery (TEGS) providers could predict the discharge disposition for patients and² determine the factors associated with incorrect predictions.

METHODS

Discharge dispositions and barriers to discharge for 200 TEGS patients were predicted individually by members of the multidisciplinary TEGS team within 24 h of patient admission. Univariate analyses and multivariable logistic least absolute shrinkage and selection operator regressions determined the associations between patient characteristics and correct predictions.

RESULTS

A total of 1,498 predictions of discharge disposition were made by the multidisciplinary TEGS team for 200 TEGS patients. Providers correctly predicted 74% of discharge dispositions. Prediction accuracy was not associated with clinical experience or job title. Incorrect predictions were independently associated with older age (OR 0.98; P < 0.001), trauma admission as compared to emergency general surgery (OR 0.33; P < 0.001), higher Injury Severity Scores (OR 0.96; P < 0.001), longer lengths of stay (OR 0.90; P < 0.001), frailty (OR 0.43; P = 0.001), ICU admission (OR 0.54; P < 0.001), and higher Acute Physiology and Chronic Health Evaluation II scores (OR 0.94; P = 0.006).

CONCLUSION

The TEGS team can accurately predict the majority of discharge dispositions. Patients with risk factors for unpredictable dispositions should be flagged to better allocate appropriate resources and more intensively plan their discharges.

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

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

Geographic access to critical care obstetrics for women of reproductive age by race and ethnicity

BACKGROUND

The goal of risk-appropriate maternal care is for high-risk pregnant women to receive specialized obstetrical services in facilities equipped with capabilities and staffing to provide care or transfer to facilities with resources available to provide care. In the United States, geographic access to critical care obstetrics varies. It is unknown whether this variation in proximity to critical care obstetrics differs by race, ethnicity, and region.

OBJECTIVE

We examined the geographic access, defined as residence within 50 miles of a facility capable of providing risk-appropriate critical care obstetrics services for women of reproductive age, by distribution of race and ethnicity.

STUDY DESIGN

Descriptive spatial analysis was used to assess geographic distance to critical care obstetrics for women of reproductive age by race and ethnicity. Data were analyzed geographically: nationally, by the Department of Health and Human Services regions, and by all 50 states and the District of Columbia. Dot density analysis was used to visualize geographic distributions of women by residence and critical care obstetrics facilities across the United States. Proximity analysis defined the proportion of women living within an approximate 50-mile radius of facilities. Source data included the 2015 American Community Survey from the United States Census Bureau and the 2015 American Hospital Association Annual Survey.

RESULTS

Geographic access to critical care obstetrics was the greatest for Asian and Pacific Islander women of reproductive age (95.8%), followed by black (93.5%), Hispanic (91.4%), and white women of reproductive age (89.1%). American Indian and Alaska Native women had more limited geographic access (66%) in all regions. Visualization of proximity to critical care obstetrics indicated that facilities were predominantly located in urban areas, which may limit access to women in frontier or rural areas of states including nationally recognized reservations where larger proportions of white women and American Indian and Alaska Native women reside, respectively.

CONCLUSION

Disparities in proximity to critical care obstetrics exist in rural and frontier areas of the United States, which affect white women and American Indian and Alaska Native women, primarily. Examining insurance coverage, interstate hospital referral networks, and transportation barriers may provide further insight into critical care obstetrics accessibility. Further exploring the role of other equity-based measures of access on disparities beyond geography is warranted.

Association of County-Level Social Vulnerability with Elective Versus Non-elective Colorectal Surgery

INTRODUCTION

A person's community, or lived environment, may play an important role in achieving optimal health outcomes. The objective of the current study was to assess the association of county-level vulnerability with the probability of having a non-elective colon resection. We hypothesized that individuals from areas with a high social vulnerability would be at greater risk of non-elective colon resection compared with patients from low social vulnerability areas.

METHODS

Patients aged 65-99 who underwent a colon resection for a primary diagnosis of either diverticulitis (n = 11,812) or colon cancer (n = 33,312) were identified in Medicare Part A and Part B for years 2016-2017. Logistic regression analysis was used to evaluate differences in probability of undergoing an elective versus non-elective operation from counties relative to county-level social vulnerability index (SVI). Secondary outcomes included postoperative complications, mortality, readmission, and index hospitalization expenditure.

RESULTS

Among 45,124 patients, 11,812 (26.2%) underwent a colon resection for diverticulitis, while 33,312 (73.8%) had a resection for colon cancer; 31,012 (68.7%) patients had an elective procedure (diverticulitis n = 7291 (61.7%) vs. cancer n = 23,721 (71.2%)), while 14,112 (31.3%) had an emergent operation (diverticulitis n = 4521 (38.3%) vs. cancer n = 9591 (28.8%)). Patients with a high SVI were more likely to undergo an emergent colon operation compared with low SVI patients (43.7% vs. 40.4%) (p < 0.001). The association of high SVI with increased risk of an emergent colon operation was similar among patients with diverticulitis (emergent: low SVI 37.2% vs. high SVI 40.4%) or colon cancer (emergent: low SVI 26.0% vs. high SVI 29.9%) (both p < 0.05). On multivariable analyses, risk-adjusted probability of undergoing an urgent/emergent operation remained associated with SVI (p < 0.05).

CONCLUSION

Patients residing in vulnerable communities characterized by a high SVI were more likely to undergo a non-elective colon resection for either diverticulitis or colon cancer. Patients from high SVI areas had a higher risk of postoperative complications, as well as index hospitalization expenditures; however, there were no differences in mortality or readmission rates.

Comparison of physician-staffed helicopter with ground-based emergency medical services for trauma patients

INTRODUCTION

Few studies have discussed whether physician-staffed helicopter emergency medical services (HEMS) provide temporal and geographical benefits for patients in remote locations compared to ground emergency medical services (GEMS). Our study seeks to clarify the significance of HEMS for patients with severe trauma by comparing the mortality of patients transported directly from crash scenes by HEMS or GEMS, taking geographical factors into account.

METHODS

Using medical records from a single center, collected from January 2014 to December 2018, we retrospectively identified 1674 trauma patients. Using propensity score analysis, we selected adult patients with an injury severity score ≥16, divided them into groups depending on their transport to the hospital by HEMS or GEMS, and compared their mortality within 24 h of hospitalization. For propensity score-matched groups, we analyzed distance and time.

RESULTS

Of the 317 eligible patients, 202 were transported by HEMS. In the propensity score matching analysis, there was no significant difference in mortality between the HEMS and GEMS groups: 8.7% vs. 5.8%, odds ratio (OR), 1.547 (95% confidence interval [CI], 0.530-4.514). The inverse probability of treatment weighting (IPTW): 11% vs. 7.8%, OR, 1.080 (95% CI, 0.640-1.823); stabilized IPTW: 11% vs. 7.8%, OR, 1.080 (95% CI, 0.502-2.324); and truncated IPTW: 10% vs. 6.4%, OR, 1.143 (95% CI, 0.654-1.997). The distance from the crash scene to the hospital was farther in the HEMS group, and it took a longer period of time to arrive at the hospital (P < 0.001).

CONCLUSIONS

HEMS may provide equal treatment opportunities and minimize trauma deaths for patients transported from a greater distance to an emergency medical center compared to GEMS for patients transported from nearby regions.

Is Distance Between Home and Treatment Site a Risk Factor for Complications After Treating Mandibular Fractures?

PURPOSE

Our level I trauma center provides care over a large geographic area including Alaska, Washington, Idaho, Montana, and Wyoming, with many patients traveling hundreds of miles to receive care. Distance to a treatment site is documented to be an independent risk factor for complications after multisystem trauma, but it is unclear if it is a risk factor for isolated mandibular fractures. The study purpose was to measure the association between distance to treatment site and risk for postoperative complications after treatment of isolated mandibular fractures.

MATERIALS AND METHODS

The investigators designed and implemented a retrospective cohort study and enrolled a sample derived from patients treated for isolated mandibular fractures at Harborview Medical Center by the oral and maxillofacial surgery service between June 2012 and December 2016. The primary predictor variable was distance (miles) between the patient's residence and site of treatment (Harborview Medical Center). The primary outcome variable was postoperative complication (yes or no), subcategorized as major and minor. Secondary outcome variables were time to treatment between injury and operative treatment (days) and length of hospital stay (LOS) (days). Descriptive, bivariate, and multiple logistic regression statistics were computed to measure the association between distance to treatment site and postoperative complications, time to treatment, and LOS. The level of statistical significance was set at P ≤ .05.

RESULTS

The study sample was composed of 403 subjects with a mean age of 32.6 ± 14.3 years and 80% were men. The average distance from the patient's residence to treatment site was 44.8 ± 128.6 miles (range, 0 to 1,440 miles; median, 20.4 miles). Major complications occurred in 11.6% of patients. The average distance between patients with and without postoperative complications was not significantly different (42.3 ± 55.8 miles vs 45.5 ± 141.7 miles; P = .8). Increasing distance was significantly associated with longer LOS (r = 0.16; P < .001) but not time to treatment (r = .04; P = .4).

CONCLUSIONS

In contrast to other studies regarding multisystem trauma, complications after treating isolated mandible fractures were not associated with increasing distance to treatment site. Increasing distance may be associated with longer LOS but not time to treatment.

Hepatopancreatobiliary Surgery: the Role of Clinical Resources and Variation in Performance of Hospitals Located in "Distressed" Communities

INTRODUCTION

The USA has one of the largest known income-based health disparities, with low-income adults being up to five times more likely to report being in poor health. We evaluated the association of hospital zip-code-based distressed communities index (DCI) with post-surgical outcomes following hepatopancreatobiliary (HPB) surgery.

METHODS

Adults undergoing HPB surgery were identified in the National Inpatient Sample. The association between hospital socioeconomic distress and outcomes including complications, mortality, failure to rescue (FTR), and never events were compared between high-distress facilities (HDF) and low-distress facilities (LDF).

RESULTS

A total of 11,119 (37.8%) patients underwent an operation at an HDF. Patients treated at HDF were younger (18-39 years, HDF: n = 1261, 11.3% vs. LDF: n = 966, 9.0%; p < 0.001), Black/Hispanic (HDF: n = 2060, 18.5% vs. LDF: n = 1440, 11.4%; p < 0.001) and in the lowest income quartile (HDF: n = 2825, 25.4% vs. LDF: n = 1116, 10.8%; p < 0.001). While complications were comparable at HDF versus LDF (HDF: n = 2483, 22.3% vs. LDF: n = 2370, 22.0%; p = 0.28), patients treated at HDF had higher odds of in-hospital mortality (OR, 1.31; 95% CI, 1.07-1.59), FTR (OR, 1.24; 95% CI, 1.02-1.52), and a never event (OR, 1.76; 95% CI, 1.29-2.39; all p < 0.001). Hospitals having advanced internal medicine services had reduced odds of mortality (OR, 0.61; 95% CI, 0.47-0.80) whereas high nurse-to-patient ratio was associated with reduced odds of a complication (OR, 0.89; 95% CI, 0.81-0.98).

CONCLUSION

Approximately 40% of patients were admitted to HDF. These patients were more likely to be Black/Hispanic and underinsured. Perioperative outcomes were worse at HDF following HPB surgery.

No Difference in Mortality Between Level I and II Trauma Centers for Combined Burn and Trauma

BACKGROUND

Trauma patients with burn injuries have higher morbidity and mortality rates compared with patients who solely experience burn or trauma injuries. There is a paucity of data regarding burn-trauma (BT) patient outcomes at level I (LI) trauma centers compared with level II (LII) centers. We hypothesized that BT patients at LI trauma centers have lower mortality rates than those at LII trauma centers.

METHODS

The Trauma Quality Improvement Program (2010-2016) was queried for patients aged ≥18 y who had BT injuries. Patients treated at an LI were compared with those at an LII center with a primary outcome of in-hospital mortality. Secondary outcomes included hospital length of stay (LOS) and intensive care unit (ICU) LOS. A multivariable logistic regression analysis was used to identify factors associated with all-cause mortality.

RESULTS

From 1971 BT patients, 1540 (78%) were treated at an LI trauma center, and 431 (22%) at an LII center. Compared with LII centers, LI BT patients had a longer median LOS (10 versus 7 d; P < 0.001) and ICU LOS (5 versus 4 d; P < 0.001). Both LI and LII centers had similar mortality rates (8.5% versus 7.0%; P = 0.300). On multivariable analysis, receiving care at an LI trauma center was not associated with decreased mortality (odds ratio 0.79, 95% confidence interval 0.42-1.48; P = 0.456).

CONCLUSIONS

We report that LI trauma center BT patients had an increased hospital and ICU LOS compared with those at LII centers. However, there was no significant difference in mortality between patients cared for at LI and LII trauma centers in risk-adjusted models.

Effects of increased distance to urgent and emergency care facilities resulting from health services reconfiguration: a systematic review

Background

Service reconfigurations sometimes increase travel time and/or distance for patients to reach their nearest hospital or other urgent and emergency care facility. Many communities value their local services and perceive that proposed changes could worsen outcomes for patients.

Objectives

To identify, appraise and synthesise existing research evidence regarding the outcomes and impacts of service reconfigurations that increase the time and/or distance for patients to reach an urgent and emergency care facility. We also aimed to examine the available evidence regarding associations between distance to a facility and outcomes for patients and health services, together with factors that may influence (moderate or mediate) these associations.

Data sources

We searched seven bibliographic databases in February 2019. The search was supplemented by citation-tracking and reference list checking. A separate search was conducted to identify the current systematic reviews of telehealth to support urgent and emergency care.

Methods

Brief inclusion and exclusion criteria were as follows: (1) population – adults or children with conditions that required emergency treatment; (2) intervention/comparison – studies comparing outcomes before and after a service reconfiguration, which affects the time/distance to urgent and emergency care or comparing outcomes in groups of people travelling different distances to access urgent and emergency care; (3) outcomes – any patient or health system outcome; (4) setting – the UK and other developed countries with relevant health-care systems; and (5) study design – any. The search results were screened against the inclusion criteria by one reviewer, with a 10% sample screened by a second reviewer. A quality (risk-of-bias) assessment was undertaken using The Joanna Briggs Institute Checklist for Quasi-Experimental Studies. We performed a narrative synthesis of the included studies and assessed the overall strength of evidence using a previously published method.

Results

We included 44 studies in the review, of which eight originated from the UK. For studies of general urgent and emergency care populations, there was no evidence that reconfiguration that resulted in increased travel time/distance affected mortality rates. By contrast, evidence of increased risk was identified from studies restricted to patients with acute myocardial infarction. Increases in mortality risk were most obvious within the first 1–4 years after reconfiguration. Evidence for other conditions was inconsistent or very limited. In the absence of reconfiguration, evidence mainly from cohort studies indicated that increased travel time or distance is associated with increased mortality risk for the acute myocardial infarction and trauma populations, whereas for obstetric emergencies the evidence was inconsistent. We included 12 systematic reviews of telehealth. Meta-analyses suggested that telehealth technologies can reduce time to treatment for people with stroke and ST elevation myocardial infarction.

Limitations

Most studies came from non-UK settings and many were at high risk of bias because there was no true control group. Most review processes were carried out by a single reviewer within a constrained time frame.

Conclusions

We found no evidence that increased distance increases mortality risk for the general population of people requiring urgent and emergency care, although this may not be true for people with acute myocardial infarction or trauma. Increases in mortality risk were most likely in the first few years after reconfiguration.

Future work

Research is needed to better understand how health systems plan for and adapt to increases in travel time, to quantify impacts on health system outcomes, and to address the uncertainty about how risk increases with distance in circumstances relevant to UK settings.

Study registration

This study is registered as PROSPERO CRD42019123061.

Funding

This project was funded by the NIHR Health Services and Delivery Research programme and will be published in full inHealth Services and Delivery Research; Vol. 8, No. 31. See the NIHR Journals Library website for further project information.

Distance travelled to hospital for emergency laparotomy and the effect of travel time on mortality: cohort study

OBJECTIVES

To evaluate whether distance and estimated travel time to hospital for patients undergoing emergency laparotomy is associated with postoperative mortality.

DESIGN

National cohort study using data from the National Emergency Laparotomy Audit.

SETTING

171 National Health Service hospitals in England and Wales.

PARTICIPANTS

22 772 adult patients undergoing emergency surgery on the gastrointestinal tract between 2013 and 2016.

MAIN OUTCOME MEASURES

Mortality from any cause and in any place at 30 and 90 days after surgery.

RESULTS

Median on-road distance between home and hospital was 8.4 km (IQR 4.7-16.7 km) with a median estimated travel time of 16 min. Median time from hospital admission to operating theatre was 12.7 hours. Older patients live on average further from hospital and patients from areas of increased socioeconomic deprivation live on average less far away.We included estimated travel time as a continuous variable in multilevel logistic regression models adjusting for important confounders and found no evidence for an association with 30-day mortality (OR per 10 min of travel time=1.02, 95% CI 0.97 to 1.06, p=0.512) or 90-day mortality (OR 1.02, 95 % CI 0.97 to 1.06, p=0.472).The results were similar when we limited our analysis to the subgroup of 5386 patients undergoing the most urgent surgery. 30-day mortality: OR=1.02 (95% CI 0.95 to 1.10, p=0.574) and 90-day mortality: OR=1.01 (95% CI 0.94 to 1.08, p=0.858).

CONCLUSIONS

In the UK NHS, estimated travel time between home and hospital was not a primary determinant of short-term mortality following emergency gastrointestinal surgery.

Geospatial characteristics of non-motor vehicle and assault-related trauma events in greater Phoenix, Arizona

BACKGROUND

Injury-causing events are not randomly distributed across a landscape, but how they are associated with the features and characteristics of the places where they occur in Arizona (AZ) remains understudied. Clustering of trauma events and associations with areal sociodemographic characteristics in the greater Phoenix (PHX), AZ region can promote understanding and inform efforts to ameliorate a leading cause of death and disability for Arizonans. The outcomes of interest are trauma events unrelated to motor vehicle crashes (MVC) and the subgroup of trauma events due to interpersonal assaults.

METHODS

A retrospective, ecological study was performed incorporating data from state and national sources for the years 2013-2017. Geographically weighted regression models explored associations between the rates of non-MVC trauma events (n/10,000 population) and the subgroup of assaultive trauma events per 1000 and areal characteristics of socioeconomic deprivation (areal deprivation index [ADI]), the density of retail alcohol outlets for offsite consumption, while controlling for race/ethnicity, population density, and the percentage urban population.

RESULTS

The 63,451 non-MVC traumas within a 3761 mile2 study area encompassing PHX and 22 surrounding communities, an area with nearly 60% of the state's population and 54% of the trauma events in the AZ State Trauma Registry for the years 2013-2017. Adjusting for confounders, ADI was associated with the rates of non-MVC and assaultive traumas in all census block groups studied (mean coefficients 0.05 sd. 0.001 and 0.07 sd. 0.002 for non-MVC and assaultive trauma, respectively). Alcohol retail outlet density was also associated with non-MVC and assaultive traumas in fewer block groups compared to ADI.

CONCLUSION

Socioeconomic deprivation and alcohol outlet density were associated with injury producing events in the greater PHX area. These features persist in the environment before and after the traumas occur. Ongoing research is warranted to identify the most influential areal predictors of traumatic injury-causing events in the greater PHX area to inform and geographically target prevention initiatives.

From far and wide: Geographic distance to pediatric surgical care across Canada

PURPOSE

Canada is the second largest country in the world, with most of the population located in the southern-most portion of its geography. We sought to define the relative distribution of pediatric surgeons to potential pediatric patients using data from the Canadian census.

METHODS

The 2011 Canadian Census and a convenience sample of current Canadian pediatric surgeons were used to calculate straight-line distances between pediatric surgeon postal code centroids and census dissemination block centroids.

RESULTS

Currently, there are 74 practicing pediatric surgeons in Canada; 493,345 populated census blocks were identified, and 7,752,075 children were enumerated. The median (IQR) kilometers to the closest pediatric surgeon was 27.99 (11.35, 85.47) kilometers, and 22.7% of Canadian children lived more than 100 km from care. Nearly 13% of children lived greater than 200 km from the nearest pediatric surgeon.

CONCLUSION

More than 1.7 million Canadian children, nearly one quarter of all Canadian children, live greater than 100 km from the closest pediatric surgeon. This identifies a disparate group of patients who do not have an equal access-to-care as compared to others in the country.

LEVEL OF EVIDENCE

Level IV.

Defining the role of angioembolization in pediatric isolated blunt solid organ injury

PURPOSE

To determine the incidence and outcomes of angiography in pediatric patients with blunt solid organ injury (SOI).

METHODS

The National Trauma Data Bank (2010-2014) was queried for patients ≤19 years who experienced isolated blunt SOI. Multivariate logistic regression was used to evaluate characteristics associated with radiological and surgical intervention.

RESULTS

Patients with isolated blunt injuries to the spleen (n = 7542), liver (n = 4549), and kidney (n = 2640) were identified. Use of angiography increased yearly from 1.6% to 3.1% of cases (p = 0.001) and was associated with older age (OR 2.61 [CI: 1.94-3.50], p < 0.001) and grade III or higher injury (OR 4.63 [CI: 3.11-6.90], p < 0.001). Odds of angiography were 4.9 times higher at adult trauma centers (TCs) than pediatric TCs overall, and almost 9 times higher for isolated splenic trauma (p < 0.001 for each). There was no improvement in splenic salvage after angiography for high grade injuries (3.5% vs. 4.8%, p = NS). Only 1.8% of cases began within 30 min of arrival (median time = 3.6 h).

CONCLUSION

Variability exists in the utilization of angiography in pediatric blunt SOI between adult and pediatric TCs, with no improvement in splenic salvage.

LEVEL OF EVIDENCE

Level III - Treatment study.

Lower education and income predict worse long-term outcomes after injury

BACKGROUND

Lower socioeconomic status (SES) is known to be associated with higher morbidity and mortality following injury. However, the impact of individual SES on long-term outcomes after trauma is unknown. The objective of this study was to determine the impact of educational level and income on long-term outcomes after injury.

METHODS

Trauma patients with moderate to severe injuries admitted to three Level-I trauma centers were contacted 6 months to 12 months after injury to evaluate functional status, return to work/school, chronic pain, and posttraumatic stress disorder (PTSD). Lower SES status was determined by educational level and income. Adjusted logistic regression models were built to determine the association between educational level and income (lowest vs. highest quartile determined by census-tract area) on each of the long-term outcomes. A sensitivity analysis was performed using the national median household income ($57,617) as threshold for defining low versus high income.

RESULTS

A total of 1,516 patients were followed during a 36-month period. Forty-nine percent had a low educational level, and 26% were categorized in the low-income group. Mean (SD) age and injury severity score were 60 (21.5) and 14.3 (7.3), respectively, with most patients (94%) having blunt injuries. After adjusting for confounders, low educational level was associated with poor long-term outcomes: functional limitation [odds ratio (OR), 1.78 (95% confidence interval (CI), 1.41-2.26)], has not yet returned to work/school [OR, 2.48 (95% CI, 1.70-3.62)], chronic pain [OR, 1.63 (95% CI, 1.27-2.10)], and PTSD [OR, 2.23 (95% CI, 1.60-3.11)]. Similarly, low-income level was associated with not yet return to work/school [OR, 1.97 (95% CI, 1.09-3.56)], chronic pain [OR,1.70 (95% CI, 1.14-2.53)], and PTSD [OR, 2.20 (95% CI, 1.21-3.98)]. In sensitivity analyses, there were no significant differences in long-term outcomes between income levels.

CONCLUSION

Low educational level is strongly associated with worse long-term outcomes after injury. However, although household income is associated with long-term outcomes, it matters where the threshold is. The impact of different socioeconomic measures on long-term outcomes after trauma cannot be assumed to be interchangeable.

LEVEL OF EVIDENCE

Prognostic and epidemiological, level III.

[Research on Healthy Neighborhood Evaluation System Based on the Combined Perspectives of Urban Planning and Public Health]

Neighborhoods are places where people spend the most time in their lives. Neighborhoods have a decisive impact on the residents' health. With several important tasks, including the transformation of old neighborhoods, the maintenance of existing neighborhoods, and the construction of new neighborhoods in the future, a scientific and reasonable evaluation standard is urgently needed to guide the development of healthy neighborhoods. To build the evaluation system, this paper first clarifies the principles for selecting evaluation indicators, which include: 1) the indicators are selected from a humanistic perspective; 2) the pathways between neighborhoods environment and health outcomes are deeply considered; 3) the indicators are selected from multiple scales. Secondly, based on the combined perspectives of urban planning and public health, it identifies the indicators that affect the residents' health in neighborhoods and searches the literature through the quality assessment to provide evidence to support the accuracy and effectiveness of the indicators. Finally, it proposes prospect to the evaluation, including 1) it is urgent to improve and utilize the healthy neighborhoods based on the Chinese condition; 2) advanced technologies need to be widely applied in neighborhoods in the future; 3) the transitions in cities should be considered in the future development of neighborhoods. It hopes that relevant researchers and government leaders to realize the importance and urgency of healthy neighborhoods to build more healthy neighborhoods in China.

The relationship between geographic location and outcomes following injury: A scoping review

INTRODUCTION

Globally, injury incidence and injury-fatality rates are higher in regional and remote areas. Recovery following serious injury is complex and requires a multi-disciplinary approach to management and community re-integration to optimise outcomes. A significant knowledge gap exists in understanding the regional variations in hospital and post-discharge outcomes following serious injury. The aim of this study was to review the evidence exploring the association between the geographic location, including both location of the event and place of residence, and outcomes following injury.

MATERIALS AND METHODS

A scoping review was used to investigate this topic and provide insight into geographic variation in outcomes following traumatic injury. Seven electronic databases and reference lists of relevant articles were searched from inception to October 2018. Studies were included if they measured injury-related mortality, outcomes associated with hospital admission, post-injury physical or psychological function and analysed these outcomes in relation to geographic location.

RESULTS

Of the 2,213 studies identified, 47 studies were included revealing three key groups of outcomes: mortality (n = 35), other in-hospital outcomes (n = 8); and recovery-focused outcomes (n = 12). A variety of measures were used to classify rurality across studies with inconsistent definitions of rurality/remoteness. Of the studies reporting injury-related mortality, findings suggest that there is a greater risk of fatality in rural areas overall and in the pre-hospital phase. For those patients that survived to hospital, the majority of studies included identified no difference in mortality between rural and urban patient groups. In the small number of studies that reported other in-hospital and recovery outcomes no consistent trends were identified.

CONCLUSION

Rural patients had a higher overall and pre-hospital mortality following injury. However, once admitted to hospital, there was no significant difference in mortality. Inconsistencies were noted across measures of rurality measures highlighting the need for more specific and consistent international classification methods. Given the paucity of data on the impact of geography on non-mortality outcomes, there is a clear need to develop a larger evidence base on regional variation in recovery following injury to inform the optimisation of post-discharge care services.

The Triage of Older Adults with Physiologic Markers of Serious Injury Using a State-Wide Prehospital Plan

INTRODUCTION

In January of 2010, North Carolina (NC) USA implemented state-wide Trauma Triage Destination Plans (TTDPs) to provide standardized guidelines for Emergency Medical Services (EMS) decision making. No study exists to evaluate whether triage behavior has changed for geriatric trauma patients.

HYPOTHESIS/PROBLEM

The impact of the NC TTDPs was investigated on EMS triage of geriatric trauma patients meeting physiologic criteria of serious injury, primarily based on whether these patients were transported to a trauma center.

METHODS

This is a retrospective cohort study of geriatric trauma patients transported by EMS from March 1, 2009 through September 30, 2009 (pre-TTDP) and March 1, 2010 through September 30, 2010 (post-TTDP) meeting the following inclusion criteria: (1) age 50 years or older; (2) transported to a hospital by NC EMS; (3) experienced an injury; and (4) meeting one or more of the NC TTDP's physiologic criteria for trauma (n = 5,345). Data were obtained from the Prehospital Medical Information System (PreMIS). Data collected included proportions of patients transported to a trauma center categorized by specific physiologic criteria, age category, and distance from a trauma center.

RESULTS

The proportion of patients transported to a trauma center pre-TTDP (24.4% [95% CI 22.7%-26.1%]; n = 604) was similar to the proportion post-TTDP (24.4% [95% CI 22.9%-26.0%]; n = 700). For patients meeting specific physiologic triage criteria, the proportions of patients transported to a trauma center were also similar pre- and post-TTDP: systolic blood pressure <90 mmHg (22.5% versus 23.5%); respiratory rate <10 or >29 (23.2% versus 22.6%); and Glascow Coma Scale (GCS) score <13 (26.0% versus 26.4%). Patients aged 80 years or older were less likely to be transported to a trauma center than younger patients in both the pre- and post-TTDP periods.

CONCLUSIONS

State-wide implementation of a TTDP had no discernible effect on the proportion of patients 50 years and older transported to a trauma center. Under-triage remained common and became increasingly prevalent among the oldest adults. Research to understand the uptake of guidelines and protocols into EMS practice is critical to improving care for older adults in the prehospital environment.

Hospital distance, socioeconomic status, and timely treatment of ischemic stroke

OBJECTIVE

To determine whether lower socioeconomic status (SES) and longer home to hospital driving time are associated with reductions in tissue plasminogen activator (tPA) administration and timeliness of the treatment.

METHODS

We conducted a retrospective observational study using data from the Get With The Guidelines-Stroke Registry (GWTG-Stroke) between January 2015 and March 2017. The study included 118,683 ischemic stroke patients age ≥18 who were transported by emergency medical services to one of 1,489 US hospitals. We defined each patient's SES based on zip code median household income. We calculated the driving time between each patient's home zip code and the hospital where he or she was treated using the Google Maps Directions Application Programing Interface. The primary outcomes were tPA administration and onset-to-arrival time (OTA). Outcomes were analyzed using hierarchical multivariable logistic regression models.

RESULTS

SES was not associated with OTA (p = 0.31) or tPA administration (p = 0.47), but was associated with the secondary outcomes of onset-to-treatment time (OTT) (p = 0.0160) and in-hospital mortality (p = 0.0037), with higher SES associated with shorter OTT and lower in-hospital mortality. Driving time was associated with tPA administration (p < 0.001) and OTA (p < 0.0001), with lower odds of tPA (0.83, 0.79-0.88) and longer OTA (1.30, 1.24-1.35) in patients with the longest vs shortest driving time quartiles. Lower SES quintiles were associated with slightly longer driving time quartiles (p = 0.0029), but there was no interaction between the SES and driving time for either OTA (p = 0.1145) or tPA (p = 0.6103).

CONCLUSIONS

Longer driving times were associated with lower odds of tPA administration and longer OTA; however, SES did not modify these associations.

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.

Geographic distance to pediatric surgical care within the continental United States

PURPOSE

Geographic proximity to pediatric surgical care has not been evaluated using the Decennial Census nor have racial, ethnic, gender, or urbanization variations been reported. This study's aim is to describe proximity of children living in the continental U.S. to a pediatric surgeon with respect to these variations.

METHODS

The 2010 American Pediatric Surgical Association member file and the 2010 Decennial Census were used to calculate straight-line distances between pediatric surgeons' zip code centroids and census block centroids.

RESULTS

In 2010, 716 practicing pediatric surgeons were identified, 6,182,882 populated Census blocks were identified, and 73,690,271 children were enumerated. Of white non-Hispanic children, 30.1% lived greater than 40 miles from care. Of Native American children, 40.5% lived more than 60 miles from care. Among children 0-5 years of age, the median (IQR) miles to closest pediatric surgeon was 14.2 (6.2, 39.6), and 3,010,698 of these children lived more than 60 miles from care.

CONCLUSION

More than 10 million children lived greater than 60 miles from a pediatric surgeon in 2010. Racial, ethnic, age, and urbanization variations in proximity to pediatric surgeons were present. This method is feasible to describe distance-to-care with the upcoming 2020 Decennial Census and may benefit future allocation of pediatric surgeons.

LEVEL OF EVIDENCE

IV.