David C. Lee

Relation of hostility to medication adherence, symptom complaints, and blood pressure reduction in a clinical field trial of antihypertensive medication

The impact of hostility was examined in relation to the conduct and results of a clinical field trial. Data were derived from a multi-center randomized double-blind study of the comparative effects of antihypertensive therapy (captopril, methyldopa and propranolol) on the quality of life of 620 hypertensive men. Hostility levels were higher in subjects reporting skipping medication dosages compared to those reporting they always complied with the medication schedule. Reporting of symptoms often associated with antihypertensive drug regimens was positively related to hostility scores throughout the study, even during the blinded placebo period. Persons with high hostility scores showed the greatest decline in blood pressure independent of type of antihypertensive medication. However, there was some limited evidence that hostility levels were significantly reduced by one antihypertensive medication. Overall, the present findings suggest that double-blind pharmacologic clinical trials may benefit from using reliable measures of hostility as covariates in the evaluation of symptom reports and amount of blood pressure reduction.

Traumatic injury in the United States: In-patient epidemiology 2000–2011

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

Determining Chronic Disease Prevalence in Local Populations Using Emergency Department Surveillance

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

Redistribution of Emergency Department Patients After Disaster-Related Closures of a Public Versus Private Hospital in New York City.

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.

Emergency Department Visits for Homelessness or Inadequate Housing in New York City before and after Hurricane Sandy.

OBJECTIVES We sought to improve public health surveillance by using a geographic analysis of emergency department (ED) visits to determine local chronic disease prevalence. METHODS Using an all-payer administrative database, we determined the proportion of unique ED patients with diabetes, hypertension, or asthma. We compared these rates to those determined by the New York City Community Health Survey. For diabetes prevalence, we also analyzed the fidelity of longitudinal estimates using logistic regression and determined disease burden within census tracts using geocoded addresses. RESULTS We identified 4.4 million unique New York City adults visiting an ED between 2009 and 2012. When we compared our emergency sample to survey data, rates of neighborhood diabetes, hypertension, and asthma prevalence were similar (correlation coefficient = 0.86, 0.88, and 0.77, respectively). In addition, our method demonstrated less year-to-year scatter and identified significant variation of disease burden within neighborhoods among census tracts. CONCLUSIONS Our method for determining chronic disease prevalence correlates with a validated health survey and may have higher reliability over time and greater granularity at a local level. Our findings can improve public health surveillance by identifying local variation of disease prevalence.

Geographic Distribution of Disaster-Specific Emergency Department Use After Hurricane Sandy in New York City.

Sudden hospital closures displace patients from usual sources of care and force them to access facilities that lack their prior medical records. For patients with complex needs and for nearby hospitals already strained by high volume, disaster-related hospital closures induce a public health emergency. Our objective was to analyze responses of patients from public versus private emergency departments after closure of their usual hospital after Hurricane Sandy. Using a statewide database of emergency visits, we followed patients with an established pattern of accessing 1 of 2 hospitals that closed after Hurricane Sandy: Bellevue Hospital Center and NYU Langone Medical Center. We determined how these patients redistributed for emergency care after the storm. We found that proximity strongly predicted patient redistribution to nearby open hospitals. However, for patients from the closed public hospital, this redistribution was also influenced by hospital ownership, because patients redistributed to other public hospitals at rates higher than expected by proximity alone. This differential response to hospital closures demonstrates significant differences in how public and private patients respond to changes in health care access during disasters. Public health response must consider these differences to meet the needs of all patients affected by disasters and other public health emergencies.

The Epidemiology of Emergency Department Trauma Discharges in the United States

Hurricane Sandy struck New York City on October 29, 2012, causing not only a large amount of physical damage, but also straining people’s health and disrupting health care services throughout the city. In prior research, we determined that emergency department (ED) visits from the most vulnerable hurricane evacuation flood zones in New York City increased after Hurricane Sandy for several medical diagnoses, but also for the diagnosis of homelessness. In the current study, we aimed to further explore this increase in ED visits for homelessness after Hurricane Sandy’s landfall. We performed an observational before-and-after study using an all-payer claims database of ED visits in New York City to compare the demographic characteristics, insurance status, geographic distribution, and health conditions of ED patients with a primary or secondary ICD-9 diagnosis of homelessness or inadequate housing in the first week after Hurricane Sandy’s landfall versus the baseline weekly average in 2012 prior to Hurricane Sandy. We found statistically significant increases in ED visits for diagnosis codes of homelessness or inadequate housing in the week after Hurricane Sandy’s landfall. Those accessing the ED for homelessness or inadequate housing were more often elderly and insured by Medicare after versus before the hurricane. Secondary diagnoses among those with a primary ED diagnosis of homelessness or inadequate housing also differed after versus before Hurricane Sandy. These observed differences in the demographic, insurance, and co-existing diagnosis profiles of those with an ED diagnosis of homelessness or inadequate housing before and after Hurricane Sandy suggest that a new population cohort—potentially including those who had lost their homes as a result of storm damage—was accessing the ED for homelessness or other housing issues after the hurricane. Emergency departments may serve important public health and disaster response roles after a hurricane, particularly for people who are homeless or lack adequate housing. Further, tracking ED visits for homelessness may represent a novel surveillance mechanism to assess post-disaster infrastructure impact and to prepare for future disasters.

Geographic variation in the demand for emergency care: A local population-level analysis.

Objective We aimed to characterize the geographic distribution of post-Hurricane Sandy emergency department use in administrative flood evacuation zones of New York City. Methods Using emergency claims data, we identified significant deviations in emergency department use after Hurricane Sandy. Using time-series analysis, we analyzed the frequency of visits for specific conditions and comorbidities to identify medically vulnerable populations who developed acute postdisaster medical needs. Results We found statistically significant decreases in overall post-Sandy emergency department use in New York City but increased utilization in the most vulnerable evacuation zone. In addition to dialysis- and ventilator-dependent patients, we identified that patients who were elderly or homeless or who had diabetes, dementia, cardiac conditions, limitations in mobility, or drug dependence were more likely to visit emergency departments after Hurricane Sandy. Furthermore, patients were more likely to develop drug-resistant infections, require isolation, and present for hypothermia, environmental exposures, or administrative reasons. Conclusions Our study identified high-risk populations who developed acute medical and social needs in specific geographic areas after Hurricane Sandy. Our findings can inform coherent and targeted responses to disasters. Early identification of medically vulnerable populations can help to map “hot spots” requiring additional medical and social attention and prioritize resources for areas most impacted by disasters. (Disaster Med Public Health Preparedness. 2016;10:351–361)

The local geographic distribution of diabetic complications in New York City: Associated population characteristics and differences by type of complication

OBJECTIVE Injury-related morbidity and mortality is an important emergency medicine and public health challenge in the United States. Here we describe the epidemiology of traumatic injury presenting to U.S. emergency departments (EDs), 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 ED survey database in the United States. Main outcomes and measures were survey-adjusted counts, proportions, means, and rates with associated standard errors (SEs) and 95% confidence intervals. We plotted annual age-stratified ED discharge rates for traumatic injury and present tables of proportions of common injuries and external causes. We modeled the association of Level I or II trauma center care with injury fatality using a multivariable survey-adjusted logistic regression analysis that controlled for age, sex, injury severity, comorbid diagnoses, and teaching hospital status. RESULTS There were 181,194,431 (SE = 4,234) traumatic injury discharges from U.S. EDs between 2006 and 2012. There was a mean year-to-year decrease of 143 (95% CI = -184.3 to -68.5) visits per 100,000 U.S. population during the study period. The all-age, all-cause case-fatality rate for traumatic injuries across U.S. EDs 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 I or II trauma centers (relative risk = 3.9 [95% CI = 3.7 to 4.1]). The unadjusted risk ratio, based on group counts, for the association of Level I or II trauma centers with mortality was risk ratio = 4.9 (95% CI = 4.5 to 5.3); however, after sex, age, injury severity, and comorbidities were accounted for, Level I or II trauma centers were not associated with an increased risk of fatality (odds ratio = 0.96 [95% CI = 0.79 to 1.18]). There were notable changes at the extremes of age in types and causes of ED 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 5 years and younger. The total inflation-adjusted cost of ED injury care in the United States between 2006 and 2012 was

The Effect of Sharrows, Painted Bicycle Lanes and Physically Protected Paths on the Severity of Bicycle Injuries Caused by Motor Vehicles

99.75 billion (SE =