Justin D. Schrager

The Role of Race and Poverty on Steps to Kidney Transplantation in the Southeastern United States

Racial disparities in access to renal transplantation exist, but the effects of race and socioeconomic status (SES) on early steps of renal transplantation have not been well explored. Adult patients referred for renal transplant evaluation at a single transplant center in the Southeastern United States from 2005 to 2007, followed through May 2010, were examined. Demographic and clinical data were obtained from patients medical records and then linked with United States Renal Data System and American Community Survey Census data. Cox models examined the effect of race on referral, evaluation, waitlisting and organ receipt. Of 2291 patients, 64.9% were black, the mean age was 49.4 years and 33.6% lived in poor neighborhoods. Racial disparities were observed in access to referral, transplant evaluation, waitlisting and organ receipt. SES explained almost one‐third of the lower rate of transplant among black versus white patients, but even after adjustment for demographic, clinical and SES factors, blacks had a 59% lower rate of transplant than whites (hazard ratio = 0.41; 95% confidence interval: 0.28–0.58). Results suggest that improving access to healthcare may reduce some, but not all, of the racial disparities in access to kidney transplantation.

Favorable Bed Utilization and Readmission Rates for Emergency Department Observation Unit Heart Failure Patients

OBJECTIVES The objective was to compare readmission rates and hospital bed-days between acute decompensated heart failure (AHF) patients admitted or discharged following accelerated treatment protocol (ATP)-driven care in an emergency department observation unit (OU). METHODS This was a retrospective cohort study conducted at two urban university-affiliated hospitals. A total of 358 selected AHF patients received treatment on an ATP in the OU between October 1, 2007, and June 30, 2011. The comparison of interest was admission or discharge following OU treatment. The outcome of interest was readmission within 30 and 90 days of hospital discharge following care in the OU. We also examined resource use (inpatient, inpatient plus outpatient-days) between the admitted and discharged groups. Time to readmission analysis was performed with Cox proportional hazards regression. RESULTS Discharged and admitted patients were similar with respect to age, race, sex, ED length of stay (LOS), and OU LOS. Patients admitted from the OU had a higher median B-type natriuretic peptide (BNP; 1,063 pg/mL [interquartile range {IQR} = 552 to 2,067 pg/mL] vs. 708 pg/mL [IQR = 254 to 1,683 pg/mL]; p = 0.002) and blood urea nitrogen (BUN; 19 mg/dL [IQR = 14 to 26 mg/dL] vs. 17 mg/dL [IQR = 13 to 23 mg/dL]) than those discharged (p = 0.04) and a lower median ejection fraction (EF; 22.5% [15% to 43%] vs. 35% [IQR 20% to 55%]; p = 0.002). In models controlling for age, race, sex, clinical site, BNP, BUN, creatinine, and EF, the 30-day readmission rate (13.8% in the study population as a whole) was not significantly different between the patients discharged or admitted following OU care (hazard ratio [HR] = 0.99; 95% confidence interval [CI] = 0.47 to 2.10). The readmission rates were also not significantly different at 90 days (HR = 1.07; 95% CI = 0.65 to 1.77). Within 30 days of discharge from the OU, patients spent a median of 1.7 days (IQR = 0.0 to 5.1 days) as inpatients, compared to 3.5 days (IQR = 2.3 to 5.8 days) among patients admitted from the OU (p < 0.0001). Among readmitted patients, the total median inpatient time was not significantly different between the comparison groups at both 30 and 90 days of follow-up. CONCLUSIONS Selected acute heart failure (HF) patients managed by a rapid treatment protocol in the OU demonstrated favorable hospital use, with discharged patients using fewer bed-days and demonstrating readmission rates that were not higher than admitted patients.

Emergency Department Resource Use by Supervised Residents vs Attending Physicians Alone

IMPORTANCE Few studies have evaluated the common assumption that graduate medical education is associated with increased resource use. OBJECTIVE To compare resources used in supervised vs attending-only visits in a nationally representative sample of patient visits to US emergency departments (EDs). DESIGN, SETTING, AND PARTICIPANTS Cross-sectional study of the National Hospital Ambulatory Medical Care Survey (2010), a probability sample of US EDs and ED visits. EXPOSURES Supervised visits, defined as visits involving both resident and attending physicians. Three ED teaching types were defined by the proportion of sampled visits that were supervised visits: nonteaching ED, minor teaching ED (half or fewer supervised visits), and major teaching ED (more than half supervised visits). MAIN OUTCOMES AND MEASURES Association of supervised visits with hospital admission, advanced imaging (computed tomography, ultrasound, or magnetic resonance imaging), any blood test, and ED length of stay, adjusted for visit acuity, demographic characteristics, payer type, and geographic region. RESULTS Of 29,182 ED visits to the 336 nonpediatric EDs in the sample, 3374 visits were supervised visits. Compared with the 25,808 attending-only visits, supervised visits were significantly associated with more frequent hospital admission (21% vs 14%; adjusted odds ratio [aOR], 1.42; 95% CI, 1.09-1.85), advanced imaging (28% vs 21%; aOR, 1.27; 95% CI, 1.06-1.51), and a longer median ED stay (226 vs 153 minutes; adjusted geometric mean ratio, 1.32; 95% CI, 1.19-1.45), but not with blood testing (53% vs 45%; aOR, 1.18; 95% CI, 0.96-1.46). Of visits to the sample of 121 minor teaching EDs, a weighted estimate of 9% were supervised visits, compared with 82% of visits to the 34 major teaching EDs. Supervised visits in major teaching EDs compared with attending-only visits were not associated with hospital admission (aOR, 1.15; 95% CI, 0.83-1.58), advanced imaging (aOR, 1.21; 95% CI, 0.96-1.53), or any blood test (aOR, 1.02; 95% CI, 0.79-1.33), but had longer ED stays (adjusted geometric mean ratio, 1.32; 95% CI, 1.14-1.53). CONCLUSIONS AND RELEVANCE In a sample of US EDs, supervised visits were associated with a greater likelihood of hospital admission and use of advanced imaging and with longer ED stays. Whether these associations are different in EDs in which more than half of visits are seen by residents requires further investigation.

Emergency Department Use and Hospital Admissions Among Patients With End-Stage Renal Disease in the United States.

Emergency Department Use and Hospital Admissions Among Patients With End-Stage Renal Disease in the United States Patients with end-stage renal disease (ESRD) have the highest risk for hospitalization among those with chronic medical conditions, including heart failure, pulmonary disease, or cancer.1 However, to our knowledge, no study has examined use of the emergency department (ED) among the national Medicare population with ESRD. We sought to describe ED visits and hospitalizations through the ED and to determine the sociodemographic and clinical characteristics of patients with ESRD who use ED services in the United States.

Assessing the Influence of a Fitbit Physical Activity Monitor on the Exercise Practices of Emergency Medicine Residents: A Pilot Study

Background Targeted interventions have improved physical activity and wellness of medical residents. However, no exercise interventions have focused on emergency medicine residents. Objective This study aimed to measure the effectiveness of a wearable device for tracking physical activity on the exercise habits and wellness of this population, while also measuring barriers to adoption and continued use. Methods This pre-post cohort study enrolled 30 emergency medicine residents. Study duration was 6 months. Statistical comparisons were conducted for the primary end point and secondary exercise end points with nonparametric tests. Descriptive statistics were provided for subjective responses. Results The physical activity tracker did not increase the overall self-reported median number of days of physical activity per week within this population: baseline 2.5 days (interquartile range, IQR, 1.9) versus 2.8 days (IQR 1.5) at 1 month (P=.36). There was a significant increase in physical activity from baseline to 1 month among residents with median weekly physical activity level below that recommended by the Centers for Disease Control and Prevention at study start, that is, 1.5 days (IQR 0.9) versus 2.4 days (IQR 1.2; P=.04), to 2.0 days (IQR 2.0; P=.04) at 6 months. More than half (60%, 18/30) of participants reported a benefit to their overall wellness, and 53% (16/30) reported a benefit to their physical activity. Overall continued use of the device was 67% (20/30) at 1 month and 33% (10/30) at 6 months. Conclusions The wearable physical activity tracker did not change the overall physical activity levels among this population of emergency medicine residents. However, there was an improvement in physical activity among the residents with the lowest preintervention physical activity. Subjective improvements in overall wellness and physical activity were noted among the entire study population.

Does stage of change predict improved intimate partner violence outcomes following an emergency department intervention

OBJECTIVES The objective was to assess the effect of an emergency department (ED)-based computer screening and referral intervention on the safety-seeking behaviors of female intimate partner violence (IPV) victims at differing stages of change. The study also aimed to determine which personal and behavioral characteristics were associated with a positive change in safety-seeking behavior. The hypothesis was that women who were in contemplation or action stages of change would be more likely to endorse safety behaviors during follow-up. METHODS This was a prospective cohort study of female IPV victims at three urban EDs, using a computer kiosk to deliver targeted education about IPV to provide referrals to local resources. All noncritically ill adult English-speaking women triaged to the ED waiting room during study hours were eligible to participate. Women were screened for IPV using the validated Universal Violence Prevention Screening Protocol (UVPSP), and all IPV-positive women further responded to validated questionnaires for alcohol and drug abuse, depression, and IPV severity. The women were assigned a baseline stage of change using the University of Rhode Island Change Assessment (URICA) scale for readiness to change their IPV behaviors. Study participants were contacted at 1 week and 3 months to assess a variety of predetermined safety behaviors to prevent further IPV during that period. Descriptive analyses were performed to determine if stage of change at enrollment and a variety of specific sociodemographic characteristics were associated with taking protective action during follow-up. RESULTS A total of 1,474 women were screened for IPV; 154 (10.4%) disclosed IPV and completed the full survey. Approximately half (47.4%) of the IPV victims were in the precontemplation stage of change, and 50.0% were in the contemplation stage. A total of 110 women returned at 1 week of follow-up (71.4%), and 63 (40.9%) women returned for the 3-month follow-up. Fifty-five percent of those who returned at 1 week and 73% of those who returned at 3 months took protective action against further IPV. Stage of change at enrollment was not significantly associated with taking protective action during follow-up. There was no association between demographic characteristics and taking protective action at 1 week or 3 months. CONCLUSIONS Emergency department-based kiosk screening and health information delivery is a feasible method of health information dissemination for women experiencing IPV and was associated with a high proportion of study participants taking protective action. Stage of change was not associated with actual IPV protective measures.

Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks

OBJECTIVE To describe and compare logistic regression and neural network modeling strategies to predict hospital admission or transfer following initial presentation to Emergency Department (ED) triage with and without the addition of natural language processing elements. METHODS Using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS), a cross-sectional probability sample of United States EDs from 2012 and 2013 survey years, we developed several predictive models with the outcome being admission to the hospital or transfer vs. discharge home. We included patient characteristics immediately available after the patient has presented to the ED and undergone a triage process. We used this information to construct logistic regression (LR) and multilayer neural network models (MLNN) which included natural language processing (NLP) and principal component analysis from the patients reason for visit. Ten-fold cross validation was used to test the predictive capacity of each model and receiver operating curves (AUC) were then calculated for each model. RESULTS Of the 47,200 ED visits from 642 hospitals, 6,335 (13.42%) resulted in hospital admission (or transfer). A total of 48 principal components were extracted by NLP from the reason for visit fields, which explained 75% of the overall variance for hospitalization. In the model including only structured variables, the AUC was 0.824 (95% CI 0.818-0.830) for logistic regression and 0.823 (95% CI 0.817-0.829) for MLNN. Models including only free-text information generated AUC of 0.742 (95% CI 0.731- 0.753) for logistic regression and 0.753 (95% CI 0.742-0.764) for MLNN. When both structured variables and free text variables were included, the AUC reached 0.846 (95% CI 0.839-0.853) for logistic regression and 0.844 (95% CI 0.836-0.852) for MLNN. CONCLUSIONS The predictive accuracy of hospital admission or transfer for patients who presented to ED triage overall was good, and was improved with the inclusion of free text data from a patients reason for visit regardless of modeling approach. Natural language processing and neural networks that incorporate patient-reported outcome free text may increase predictive accuracy for hospital admission.

Emergency Department Utilization among Kidney Transplant Recipients in the United States

Patients with end‐stage renal disease use the emergency department (ED) at a 6‐fold higher rate than do other US adults. No national studies have described ED use rates among kidney transplant (KTx) recipients, and the factors associated with higher ED use. We examined a cohort of 132 725 adult KTx recipients in the United States Renal Data System (2005‐2013). Data on ED visits, hospitalization, and outpatient nephrology visits were obtained from Medicare claims databases. Nearly half (46.1%) of KTx recipients had at least one ED visit (1.61 ED visits/patient‐year [PY]), and 39.7% of ED visits resulted in hospitalization in the first year posttransplantation. ED visit rate was high in the first 30 days (5.26 visits/PY) but declined substantially thereafter (1.81 visits/PY in months 1‐3; 1.13 visits/PY in months 3‐12 posttransplantation). ED visit rates were higher in the first 30 days versus rates for dialysis patients but less than half the rate thereafter. Female sex, public insurance, medical comorbidities, longer pretransplantation dialysis vintage, and delayed graft function were associated with higher ED use in the first year post‐KTx. Policies and strategies addressing potentially preventable ED visits should be promoted to help improve patient care and increase efficient use of ED resources.

Preventing Emergency Department Use among Patients with CKD: It Starts with Awareness

The emergency department (ED) has become the nexus for acute care medicine in the United States. With greater than one quarter of all newly arising medical problems being managed by emergency physicians, who represent <5% of practicing physicians in the United States ([1][1],[2][2]), there is