Faculty Bibliography

BACKGROUND: This study was designed to examine the characteristics of pedestrian and bicyclist collisions with motor vehicles within New York City's high-density hub. The primary objectives were to map crash locations and to identify hot spots within these injury clusters. The secondary objective was to quantify differences in injury severity based on road type and user behaviors. METHODS: Between December 2008 and June 2011, data were prospectively collected from pedestrians and bicyclists struck by motor vehicles and brought to Bellevue Hospital, a Level 1 trauma center in New York City. Behaviors by cohort (i.e., crossing patterns for pedestrians, riding patterns for bicyclists), Injury Severity Score (ISS), and collision locations were extracted from the database. Analyses of mean ISS were performed using a Student's t test with a p < 0.05 considered significant. Geomaps were created to identify clusters or "hot spots," where higher volumes of crashes occurred over time. Spatial analysis was performed to demonstrate whether these were random events. RESULTS: A total of 1,457 patients (1,075 pedestrians and 382 bicyclists) were enrolled. Collision locations were known for 97.5%. Of the injured pedestrians, those crossing avenues (n = 277) had higher ISSs than those crossing streets (n = 522) (p = 0.01) and were more likely to die (p = 0.002). Pedestrians crossing midblock (n = 185) had higher mean ISSs than those crossing with the signal in the crosswalk (n = 320) (8.12 vs. 5.01, p < 0.001). Based on density mapping, hot spots of pedestrian collisions were detected in midtown Manhattan, while hot spots for bicyclists were detected at bridge and tunnel portals. Spatial analysis indicates that these are not random events (p < 0.05). CONCLUSION: Pedestrians injured on avenues sustained more serious injuries than those injured on narrower streets. A better understanding of collision locations and features may allow for tailored injury prevention strategies. Trauma centers serve an important role in public health surveillance within their local communities. LEVEL OF EVIDENCE: Epidemiologic study, level III.

In the United States, more than 115,000 patients are wait-listed for organ transplants despite that there are 12,000 patients each year who die or become too ill for transplantation. One reason for the organ shortage is that candidates for donation must die in the hospital, not the emergency department (ED), either from neurologic or circulatory-respiratory death under controlled circumstances. Evidence from Spain and France suggests that a substantial number of deaths from cardiac arrest may qualify for organ donation using uncontrolled donation after circulatory determination of death (uDCDD) protocols that rapidly initiate organ preservation in out-of-hospital and ED settings. Despite its potential, uDCDD has been criticized by panels of experts that included neurologists, intensivists, attorneys, and ethicists who suggest that organ preservation strategies that reestablish oxygenated circulation to the brain retroactively negate previous death determination based on circulatory-respiratory criteria and hence violate the dead donor rule. In this article, we assert that in uDCDD, all efforts at saving lives are exhausted before organ donation is considered, and death is determined according to "irreversible cessation of circulatory and respiratory functions" evidenced by "persistent cessation of functions during an appropriate period of observation and/or trial of therapy." Therefore, postmortem in vivo organ preservation with chest compressions, mechanical ventilation, and extracorporeal membrane oxygenation is legally and ethically appropriate. As frontline providers for patients presenting with unexpected cardiac arrest, emergency medicine practitioners need be included in the uDCDD debate to advocate for patients and honor the wishes of the deceased.

We introduced case management and homeless outreach to chronically homeless, alcohol-dependent, frequent emergency department (ED) visitors using existing resources. We assessed the difference in differences of ED visits 6 months pre- and postintervention using a prospective, nonequivalent control group trial. Secondary outcomes included changes in hospitalizations and housing. The differences in differences between intervention and prospective patients and retrospective controls were -12.1 (95% CI = -22.1, -2.0) and -12.8 (95% CI = -26.1, 0.6) for ED visits and -8.5 (95% CI = -22.8, 5.8) and -19.0 (95% CI = -34.3, -3.6) for inpatient days, respectively. Eighteen participants accepted shelter; no controls were housed. Through intervention, ED use decreased and housing was achieved.

Introduction In 2002, the West-African nation of Gabon established an emergency medical system (EMS), Service d'Aide Medicale Urgente (SAMU), in Libreville, yet few people access it. Our objective was to describe Libreville residents' knowledge and attitudes toward the SAMU in an effort to understand why this service is underutilized. Methods Qualitative interviews consisting of nine open-ended questions were conducted on a convenience sample of twenty patients, three visitors and two patient/visitor dyads at the Jeanne Ebori Hospital Emergency Centre in October 2009. Eligible subjects arrived in vehicles other than the SAMU and were ill enough to require hospital admission. Exclusion criteria were: under 21 years old, unable to speak French, or medically unstable. A bilingual team member audio-recorded the interviews in French and transcribed them into English. Investigators organized text into codes, then into themes and theoretical constructs. Intercoder agreement was excellent. Data were collected until theoretical saturation was achieved. Results Analysis of data revealed no difference in response between patients and visitors. People underused SAMU because of financial costs, lack of awareness of the program, use of traditional modes of transportation, infrastructure flaws, perceived response times and other misconceptions. Conclusion We identified remediable barriers to EMS (SAMU) access in Libreville, Gabon: lack of awareness, misperceptions, established alternatives, and cost. Interventions and future investigations designed to increase EMS utilization in Gabon should target these four areas. 2013 Production and hosting by Elsevier on behalf of African Federation for Emergency Medicine

BACKGROUND: While the efficacy of helmet use in the prevention of head injury is well described, helmet use as it relates to bicyclists' behaviors and hospital resource use following injury is less defined. The objective of this study was to compare the demographics, behaviors, hospital workups, and outcomes of bicyclists based on helmet use. METHODS: This study was a subset analysis of a 2.5-year prospective cohort study of vulnerable roadway users conducted at Bellevue Hospital Center, a New York City Level 1 trauma center. All bicyclists with known helmet status were included. Demographics, insurance type, traffic law compliance, alcohol use, Glasgow Coma Scale (GCS) score, initial imaging studies, Abbreviated Injury Scale (AIS) score, Injury Severity Score (ISS), admission status, length of stay, disposition, and mortality were assessed. Information was obtained primarily from patients; witnesses and first responders provided additional information. RESULTS: Of 374 patients, 113 (30.2%) were wearing helmets. White bicyclists were more likely to wear helmets; black bicyclists were less likely (p = 0.037). Patients with private insurance were more likely to wear helmets, those with Medicaid or no insurance were less likely (p = 0.027). Helmeted bicyclists were more likely to ride with the flow of traffic (97.2%) and within bike lanes (83.7%) (p < 0.001 and p = 0.013, respectively). Nonhelmeted bicyclists were more likely to ride against traffic flow (p = 0.003). There were no statistically significant differences in mean GCS score, AIS score, and mean ISS for helmeted versus nonhelmeted bicyclists. Nonhelmeted patients were more likely to have head computed tomographic scans (p = 0.049) and to be admitted (p = 0.030). CONCLUSION: Helmet use is an indicator of safe riding practices, although most injured bicyclists do not wear them. In this study, helmet use was associated with lower likelihood of head CTs and admission, leading to less hospital resource use. Injured riders failing to wear helmets should be targeted for educational programs. LEVEL OF EVIDENCE: Epidemiologic study, level III.

BACKGROUND: Road safety constitutes an international crisis. In 2010, 11,000 pedestrians and 3,500 bicyclists were injured by motor vehicles in New York City. This study aims to identify the demographics, behaviors, injuries, and outcomes of vulnerable roadway users struck by motor vehicles in New York City's congested central business district and surrounding periphery. METHODS: A prospective, descriptive study of pedestrians and bicyclists struck by motor vehicles and treated at a Level I regional trauma center was performed. Data were collected between December 2008 and June 2011 by interviewing patients and first responders supplemented with imaging and outcomes variables. Main outcome measures included patient demographics, behavior patterns, scene-related data, Injury Severity Score (ISS), and outcomes including mortality. Multivariate ordinal logistic regression modeling was performed to isolate effects of predictor variables on outcome of ISS categories. RESULTS: Injured pedestrians (n = 1,075) and bicyclists (n = 382) differ by age (p < 0.001), sex (p < 0.001), ethnicity/race (p < 0.001), and involved motor vehicle type (p < 0.001). Pedestrians sustain more severe/critical injuries (p < 0.001) and hospital admissions (p < 0.001). Bicyclists are more commonly struck by taxis (p < 0.001) and infrequently wear helmets (29.6%). Variables associated with low ISS include bicycling (adjusted odds ratio [AOR], 0.43; 95% confidence interval [CI], 0.29-0.63), above normal body mass index (AOR, 0.73; 95% CI, 0.54-0.99), Latino (AOR, 0.65; 95% CI, 0.46-0.94) or black (AOR, 0.63; 95% CI, 0.41-0.96) ethnicity/race, and struck by a taxicab (AOR, 0.50; 95% CI, 0.33-0.76) or turning vehicle (AOR,0.49; 95% CI, 0.34-0.70). Variables associated with high ISS include alcohol (AOR, 2.71; 95% CI, 1.81-4.05), age less than 18 years (AOR, 1.73; 95% CI, 1.05-2.86), hearing impairment (AOR, 2.24; 95% CI, 1.24-4.03), and struck by a truck or bus (AOR, 1.91; 95% CI, 1.18-3.10). Mortality was 1.2%. CONCLUSION: Injured pedestrians and bicyclists represent distinct entities. Prevention modalities must be tailored accordingly with a focus on high-risk subgroups and compliance with traffic laws. Studying fatality or admissions data fail to capture the extent of the epidemic. LEVEL OF EVIDENCE: Prospective epidemiologic study, level II.

BACKGROUND: Mobile devices have been shown to assist patients with comprehension of health information, yet sparse data exist on what mobile devices patients own and preferences for receiving health information. OBJECTIVES: To determine the prevalence of mobile devices capable of receiving health information among patients/visitors presenting to an urban Emergency Department (ED). METHODS: A random sample of patients/visitors >/=18 years was surveyed. The primary outcome was prevalence of mobile devices capable of receiving health information among patient/visitor units presenting to the ED. Means and 95% confidence intervals were derived for continuous data; proportions with Fisher's exact 95% confidence intervals were derived for categorical data. Institutional review board approval was received before study initiation. RESULTS: Surveyors approached 1307 subjects: 68% (885) were eligible; 70% (620) agreed to participate; 4 participants were excluded, leaving 70% (616) in the final sample. Of the 616 participants, 82% stated cell phone ownership (95% confidence interval [CI] 0.79-0.85). Among cell phone owners (n = 507), 90% had the device with them (95% CI 0.87-0.92) in the ED. Of these participants (n = 456), 77% had text messaging (95% CI 0.73-0.81), 51% had Internet (95% CI 0.47-0.56), 51% had e-mail (95% CI 0.46-0.56), 39% could download audio content (95% CI 0.34-0.43), and 35% could download videos (95% CI 0.31-0.40). Even among those having an annual income