Faculty Bibliography

OBJECTIVE: Injury related morbidity and mortality is an important emergency medicine and public health challenge in the United States (US). Here we describe the epidemiology of traumatic injury presenting to US emergency departments, define changes in types and causes of injury among the elderly and the young, characterize the role of trauma centers and teaching hospitals in providing emergency trauma care, and estimate the overall economic burden of treating such injuries. METHODS: We conducted a secondary retrospective, repeated cross-sectional study of the Nationwide Emergency Department Data Sample (NEDS), the largest all-payer emergency department survey database in the US. Main outcomes and measures were survey-adjusted counts, proportions, means, and rates with associated standard errors, and 95% confidence intervals. We plotted annual age-stratified emergency department discharge rates for traumatic injury and present tables of proportions of common injuries and external causes. We modeled the association of Level 1 or 2 trauma center care with injury fatality using a multi-variable survey-adjusted logistic regression analysis that controlled for age, gender, injury severity, comorbid diagnoses, and teaching hospital status. RESULTS: There were 181,194,431 (standard error, se = 4234) traumatic injury discharges from US emergency departments between 2006 and 2012. There was an average year-to-year decrease of 143 (95% CI -184.3, -68.5) visits per 100,000 US population during the study period. The all-age, all-cause case-fatality rate for traumatic injuries across US emergency departments during the study period was 0.17% (se = 0.001). The case-fatality rate for the most severely injured averaged 4.8% (se = 0.001), and severely injured patients were nearly four times as likely to be seen in Level 1 or 2 trauma centers (relative risk = 3.9 (95% CI 3.7, 4.1)). The unadjusted risk ratio, based on group counts, for the association of Level 1 or 2 trauma centers with mortality was RR = 4.9 (95% CI 4.5, 5.3), however, after accounting for gender, age, injury severity and comorbidities, Level 1 or 2 trauma centers were not associated with an increased risk of fatality (odds ratio = 0.96 (0.79, 1.18)). There were notable changes at the extremes of age in types and causes of emergency department discharges for traumatic injury between 2009 and 2012. Age-stratified rates of diagnoses of traumatic brain injury increased 29.5% (se = 2.6) for adults older than 85, and increased 44.9% (se = 1.3) for children younger than 18. Firearm related injuries increased 31.7% (se = 0.2) in children five years and younger. The total inflation-adjusted cost of emergency department injury care in the US between 2006 and 2012 was $99.75 billion (se = 0.03). CONCLUSIONS: Emergency departments are a sensitive barometer of the continuing impact of traumatic injury as an important cause of morbidity and mortality in the US. Level 1 or 2 trauma centers remain a bulwark against the tide of severe trauma in the US. But, the types and causes of traumatic injury in the US are changing in consequential ways, particularly at the extremes of age, with traumatic brain injuries and firearm-related trauma presenting increased challenges

INTRODUCTION: During residency, some trainees require the identification and remediation of deficiencies to achieve the knowledge, skills and attitudes necessary for independent practice. Given the limited published frameworks for remediation, we characterize remediation from the perspective of educators and propose a holistic framework to guide the approach to remediation. METHODS: We conducted semistructured focus groups to: explore methods for identifying struggling residents; categorize common domains of struggle; describe personal factors that contribute to difficulties; define remediation interventions and understand what constitutes successful completion. Data were analyzed through conventional content analysis. RESULTS: Nineteen physicians across multiple specialties and institutions participated in seven focus groups. Thirteen categories emerged around remediation. Some themes addressed practical components of remediation, while others reflected barriers to the process and the impact of remediation on the resident and program. The themes were used to inform development of a novel holistic framework for remediation. CONCLUSIONS: The approach to remediation requires comprehensive identification of individual factors impacting performance. The intervention should not only include a tailored learning plan but also address confounders that impact likelihood of remediation success. Our holistic framework intends to guide educators creating remediation plans to ensure all domains are addressed.

OBJECTIVE: To use novel geographic methods and large-scale claims data to identify the local distribution of pediatric chronic diseases in New York City. METHODS: Using a 2009 all-payer emergency claims database, we identified the proportion of unique children aged 0 to 17 with diagnosis codes for specific medical and psychiatric conditions. As a proof of concept, we compared these prevalence estimates to traditional health surveys and registry data using the most geographically granular data available. In addition, we used home addresses to map local variation in pediatric disease burden. RESULTS: We identified 549,547 New York City children who visited an emergency department at least once in 2009. Though our sample included more publicly insured and uninsured children, we found moderate to strong correlations of prevalence estimates when compared to health surveys and registry data at prespecified geographic levels. Strongest correlations were found for asthma and mental health conditions by county among younger children (0.88, P = .05 and 0.99, P < .01, respectively). Moderate correlations by neighborhood were identified for obesity and cancer (0.53 and 0.54, P < .01). Among adolescents, correlations by health districts were strong for obesity (0.95, P = .05), and depression estimates had a nonsignificant, but strong negative correlation with suicide attempts (-0.88, P = .12). Using SaTScan, we also identified local hot spots of pediatric chronic disease. CONCLUSIONS: For conditions easily identified in claims data, emergency department surveillance may help estimate pediatric chronic disease prevalence with higher geographic resolution. More studies are needed to investigate limitations of these methods and assess reliability of local disease estimates.

The emergency department (ED) occupies a unique position within the healthcare system, serving as a safety net for vulnerable patients, regardless of their race, ethnicity, religion, country of origin, sexual orientation, socioeconomic status, or medical diagnosis. Shared decision making (SDM) presents special challenges when used with vulnerable population groups. The differing circumstances, needs, and perspectives of vulnerable groups invoke issues of provider bias, disrespect, judgmental attitudes, and lack of cultural competence, as well as patient mistrust and the consequences of their social and economic disenfranchisement. A research agenda that includes community-engaged approaches, mixed-methods studies, and cost-effectiveness analyses is proposed to address the following questions: 1) What are the best processes/formats for SDM among racial, ethnic, cultural, religious, linguistic, social, or otherwise vulnerable groups who experience disadvantage in the healthcare system? 2) What organizational or systemic changes are needed to support SDM in the ED whenever appropriate? 3) What competencies are needed to enable emergency providers to consider patients' situation/context in an unbiased way? 4) How do we teach these competencies to students and residents? 5) How do we cultivate these competencies in practicing emergency physicians, nurses, and other clinical providers who lack them? The authors also identify the importance of using accurate, group-specific data to inform risk estimates for SDM decision aids for vulnerable populations and the need for increased ED-based care coordination and transitional care management capabilities to create additional care options that align with the needs and preferences of vulnerable populations.

BACKGROUND:Pedestrian and bicyclist injury is an important public health issue. The retail environment, particularly the presence of alcohol outlets, may contribute the the risk of pedestrian or bicyclist injury, but this association is poorly understood. METHODS:This study quantifies the spatial risk of alcohol-related pedestrian injury in New York City at the census tract level over a recent 10-year period using a Bayesian hierarchical spatial regression model with Integrated Nested Laplace approximations. The analysis measures local risk, and estimates the association between the presence of alcohol outlets in a census tract and alcohol-involved pedestrian/bicyclist injury after controlling for social, economic and traffic-related variables. RESULTS:Holding all other covariates to zero and adjusting for both random and spatial variation, the presence of at least one alcohol outlet in a census tract increased the risk of a pedestrian or bicyclist being struck by a car by 47 % (IDR = 1.47, 95 % Credible Interval (CrI) 1.13, 1.91). CONCLUSIONS:The presence of one or more alcohol outlets in a census tract in an urban environment increases the risk of bicyclist/pedestrian injury in important and meaningful ways. Identifying areas of increased risk due to alcohol allows the targeting of interventions to prevent and control alcohol-related pedestrian and bicyclist injuries.

AIMS: To identify population characteristics associated with local variation in the prevalence of diabetic complications and compare the geographic distribution of different types of complications in New York City. METHODS: Using an all-payer database of emergency visits, we identified the proportion of unique adults with diabetes who also had cardiac, neurologic, renal and lower extremity complications. We performed multivariable regression to identify associations of demographic and socioeconomic factors, and diabetes-specific emergency department use with the prevalence of diabetic complications by Census tract. We also used geospatial analysis to compare local hotspots of diabetic complications. RESULTS: We identified 4.6million unique New York City adults, of which 10.5% had diabetes. Adjusting for demographic and socioeconomic factors, diabetes-specific emergency department use was associated with severe microvascular renal and lower extremity complications (p-values<0.001), but not with severe macrovascular cardiac or neurologic complications (p-values of 0.39 and 0.29). Our hotspot analysis demonstrated significant geographic heterogeneity in the prevalence of diabetic complications depending on the type of complication. Notably, the geographic distribution of hotspots of myocardial infarction were inversely correlated with hotspots of end-stage renal disease and lower extremity amputations (coefficients: -0.28 and -0.28). CONCLUSIONS: We found differences in the local geographic distribution of diabetic complications, which highlight the contrasting risk factors for developing macrovascular versus microvascular diabetic complications. Based on our analysis, we also found that high diabetes-specific emergency department use was correlated with poor diabetic outcomes. Emergency department utilization data can help identify the location of specific populations with poor glycemic control.

BACKGROUND: Trauma is a leading cause of death and disability in the United States (US). This analysis describes trends and annual changes in in-hospital trauma morbidity and mortality; evaluates changes in age and gender specific outcomes, diagnoses, causes of injury, injury severity and surgical procedures performed; and examines the role of teaching hospitals and Level 1 trauma centres in the care of severely injured patients. METHODS: We conducted a retrospective descriptive and analytic epidemiologic study of an inpatient database representing 20,659,684 traumatic injury discharges from US hospitals between 2000 and 2011. The main outcomes and measures were survey-adjusted counts, proportions, means, standard errors, and 95% confidence intervals. We plotted time series of yearly data with overlying loess smoothing, created tables of proportions of common injuries and surgical procedures, and conducted survey-adjusted logistic regression analysis for the effect of year on the odds of in-hospital death with control variables for age, gender, weekday vs. weekend admission, trauma-centre status, teaching-hospital status, injury severity and Charlson index score. RESULTS: The mean age of a person discharged from a US hospital with a trauma diagnosis increased from 54.08 (s.e.=0.71) in 2000 to 59.58 (s.e.=0.79) in 2011. Persons age 45-64 were the only age group to experience increasing rates of hospital discharges for trauma. The proportion of trauma discharges with a Charlson Comorbidity Index score greater than or equal to 3 nearly tripled from 0.048 (s.e.=0.0015) of all traumatic injury discharges in 2000 to 0.139 (s.e.=0.005) in 2011. The proportion of patients with traumatic injury classified as severe increased from 22% of all trauma discharges in 2000 (95% CI 21, 24) to 28% in 2011 (95% CI 26, 30). Level 1 trauma centres accounted for approximately 3.3% of hospitals. The proportion of severely injured trauma discharges from Level 1 trauma centres was 39.4% (95% CI 36.8, 42.1). Falls, followed by motor-vehicle crashes, were the most common causes of all injuries. The total cost of trauma-related inpatient care between 2001 and 2011 in the US was $240.7 billion (95% CI 231.0, 250.5). Annual total US inpatient trauma-related hospital costs increased each year between 2001 and 2011, more than doubling from $12.0 billion (95% CI 10.5, 13.4) in 2001 to 29.1 billion (95% CI 25.2, 32.9) in 2011. CONCLUSIONS: Trauma, which has traditionally been viewed as a predicament of the young, is increasingly a disease of the old. The strain of managing the progressively complex and costly care associated with this shift rests with a small number of trauma centres. Optimal care of injured patients requires a reappraisal of the resources required to effectively provide it given a mounting burden.

Alcohol use is a risk factor for severe injury in pedestrians struck by motor vehicles. Our objective was to investigate alcohol use by bicyclists and its effects on riding behaviors, medical management, injury severity, and mortality within a congested urban setting. A hospital-based, observational study of injured bicyclists presenting to a Level I regional trauma center in New York City was conducted. Data were collected prospectively from 2012 to 2014 by interviewing all bicyclists presenting within 24 h of injury and supplemented with medical record review. Variables included demographic characteristics, scene-related data, Glasgow Coma Scale (GCS), computed tomography (CT) scans, and clinical outcomes. Alcohol use at the time of injury was determined by history or blood alcohol level (BAL) >0.01 g/dL. Of 689 bicyclists, 585 (84.9%) were male with a mean age of 35.2. One hundred four (15.1%) bicyclists had consumed alcohol prior to injury. Alcohol use was inversely associated with helmet use (16.5% [9.9-25.1] vs. 43.2% [39.1-47.3]). Alcohol-consuming bicyclists were more likely to fall from their bicycles (42.0% [32.2-52.3] vs. 24.2% [20.8-27.9]) and less likely to be injured by collision with a motor vehicle (52.0% [41.7-62.1] vs. 67.5% [63.5-71.3]). 80% of alcohol-consuming bicyclists underwent CT imaging at presentation compared with 51.5% of non-users. Mortality was higher among injured bicyclists who had used alcohol (2.9% [0.6-8.2] vs. 0.0% [0.0-0.6]). Adjusted multivariable analysis revealed that alcohol use was independently associated with more severe injury (Adjusted Odds Ratio 2.27, p = 0.001, 95% Confidence Interval 1.40-3.68). Within a dense urban environment, alcohol use by bicyclists was associated with more severe injury, greater hospital resource use, and higher mortality. As bicycling continues to increase in popularity internationally, it is important to heighten awareness about the risks and consequences of bicycling while under the influence of alcohol.

STUDY OBJECTIVE: In 2006, the Institute of Medicine emphasized substantial potential to expand organ donation opportunities through uncontrolled donation after circulatory determination of death (uDCDD). We pilot an out-of-hospital uDCDD kidney program for New York City in partnership with communities that it was intended to benefit. We evaluate protocol process and outcomes while identifying barriers to success and means for improvement. METHODS: We conducted a prospective, participatory action research study in Manhattan from December 2010 to May 2011. Daily from 4 to 12 pm, our organ preservation unit monitored emergency medical services (EMS) frequencies for cardiac arrests occurring in private locations. After EMS providers independently ordered termination of resuscitation, organ preservation unit staff determined clinical eligibility and donor status. Authorized parties, persons authorized to make organ donation decisions, were approached about in vivo preservation. The study population included organ preservation unit staff, authorized parties, passersby, and other New York City agency personnel. Organ preservation unit staff independently documented shift activities with daily operations notes and teleconference summaries that we analyzed with mixed qualitative and quantitative methods. RESULTS: The organ preservation unit entered 9 private locations; all the deceased lacked previous registration, although 4 met clinical screening eligibility. No kidneys were recovered. We collected 837 notes from 35 organ preservation unit staff. Despite frequently recounting protocol breaches, most responses from passersby including New York City agencies were favorable. No authorized parties were offended by preservation requests, yielding a Bayesian posterior median 98% (95% credible interval 76% to 100%). CONCLUSION: In summary, the New York City out-of-hospital uDCDD program was not feasible. There were frequent protocol breaches and confusion in determining clinical eligibility. In the small sample of authorized persons we encountered during the immediate grieving period, negative reactions were infrequent.

Object/UNASSIGNED:The purpose of the current study is to determine the sensitivity and specificity of an eye tracking method as a classifier for identifying concussion. Methods/UNASSIGNED:Brain injured and control subjects prospectively underwent both eye tracking and Sport Concussion Assessment Tool 3. The results of eye tracking biomarker based classifier models were then validated against a dataset of individuals not used in building a model. The area under the curve (AUC) of receiver operating characteristics was examined. Results/UNASSIGNED:An optimal classifier based on best subset had an AUC of 0.878, and a cross-validated AUC of 0.852 in CT- subjects and an AUC of 0.831 in a validation dataset. The optimal misclassification rate in an external dataset (n = 254) was 13%. Conclusion/UNASSIGNED:If one defines concussion based on history, examination, radiographic and Sport Concussion Assessment Tool 3 criteria, it is possible to generate an eye tracking based biomarker that enables detection of concussion with reasonably high sensitivity and specificity.