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COVID-19 readmissions are associated with increased patient mortality and healthcare system strain. This retrospective cohort study of PCR-confirmed COVID-19 positive adults (>18 years) hospitalized and readmitted within 30 days of discharge from index admission was performed at eight Atlanta hospitals from March to December 2020. The objective was to describe COVID-19 patient-level demographics and clinical characteristics, and community-level social determinants of health (SDoH) that contribute to 30-day readmissions. Demographics, comorbidities, COVID-19 treatment, and discharge disposition data were extracted from the index admission. ZIP codes were linked to a demographic/lifestyle database interpolating to community-level SDoH. Of 7155 patients with COVID-19, 463 (6.5%) had 30-day, unplanned, all-cause hospital readmissions. Statistically significant differences were not found in readmissions stratified by age, sex, race, or ethnicity. Patients with a high-risk Charlson Comorbidity Index had higher odds of readmission (OR 4.8 (95% CI: 2.1 to 11.0)). Remdesivir treatment and intensive care unit (ICU) care were associated with lower odds of readmission (OR 0.5 (95% CI: 0.4 to 0.8) and OR 0.5 (95% CI: 0.4 to 0.7), respectively). Patients residing in communities with larger average household size were less likely to be readmitted (OR 0.7 (95% CI: 0.5 to 0.9). In this cohort, patients who received remdesivir, were cared for in an ICU, and resided in ZIP codes with higher proportions of residents with increased social support had lower odds of readmission. These patient-level factors and community-level SDoH may be used to identify patients with COVID-19 who are at increased risk of readmission.

The COVID-19 pandemic has shed light on the ongoing pandemic of racial injustice. In the context of these twin pandemics, emergency medicine organizations are declaring that “Racism is a Public Health Crisis.” Accordingly, we are challenging emergency clinicians to respond to this emergency and commit to being antiracist. This courageous journey begins with naming racism and continues with actions addressing the intersection of racism and social determinants of health that result in health inequities. Therefore, we present a social-ecological framework that structures the intentional actions that emergency medicine must implement at the individual, organizational, community, and policy levels to actively respond to this emergency and be antiracist.

Importance Protocol driven ED observation units (EDOU) have been shown to improve outcomes for patients and payers, however their impact on an entire health system is unknown. Two thirds of US hospitals do not have such units. Objective To determine the impact of a protocol-driven EDOU on health system length of stay, cost, and resource utilization. Methods A retrospective, observational, cross-sectional study of observation patients managed over 25 consecutive months in a four-hospital academic health system. Patients were identified using the “admit to observation” order and limited to adult, emergent / urgent, non-obstetric patients. Data was retrieved from a cost accounting database. The primary study exposure was the setting for observation care which was broken into three discrete groups: EDOUs (n = 3), hospital medicine observation units (HMSOU, n = 2), and a non-observation unit (NOU) bed located anywhere in the hospital. Outcomes included observation-to-inpatient admission rate, length of stay (LoS), total direct cost, and inpatient bed days saved. Unadjusted outcomes were compared, and outcomes were adjusted using multiple study variables. LoS and cost were compared using quantile regressions. Inpatient admit rate was compared using logistic regressions. Results The sample consisted of 48,145 patients who were 57.4% female, 48% Black, 46% White, median age of 58, with some variation in most common diagnoses and payer groups. The median unadjusted outcomes favored EDOU over NOU settings for admission rate (13.1% vs 37.1%), LoS [17.9 vs 35.6 h), and cost ($1279 vs $2022). The adjusted outcomes favored EDOU over NOU settings for admission rates [12.3% (95% CI 9.7–15.3) vs 26.4% (CI 21.3–32.3)], LoS differences [11.1 h (CI 10.6–11.5 h)] and cost differences [$127.5 (CI $105.4 - $149.5)]. Adjusted differences were similar and favored EDOU over HMSOU settings. For the health system, the total adjusted annualized savings of the EDOUs was 10,399 bed days and $1,329,443 in total direct cost per year. Conclusion Within an academic medical center, EDOUs were associated with improved resource utilization and reduced cost. This represents a significant opportunity for hospitals to improve efficiency and contain costs.

Patients with chronic renal failure (CRF) are at high risk of being readmitted to hospitals within 30 days. Routinely collected electronic health record (EHR) data may enable hospitals to predict CRF readmission and target interventions to increase quality and reduce readmissions. We compared the ability of manually extracted variables to predict readmission compared with EHR-based prediction using multivariate logistic regression on 1 year of admission data from an academic medical center. Categorizing three routinely collected variables (creatinine, B-type natriuretic peptide, and length of stay) increased readmission prediction by 30% compared with paper-based methods as measured by C-statistic (AUC). Marginal effects analysis using the final multivariate model provided patient-specific risk scores from 0% to 44.3%. These findings support the use of routinely collected EHR data for effectively stratifying readmission risk for patients with CRF. Generic readmission risk tools may be evidence-based but are designed for general populations and may not account for unique traits of specific patient populations-such as those with CRF. Routinely collected EHR data are a rapid, more efficient strategy for risk stratifying and strategically targeting care. Earlier risk stratification and reallocation of clinician effort may reduce readmissions. Testing this risk model in additional populations and settings is warranted.

To describe the impact of a novel communication and triage pathway called fast track dialysis (FTD) on the length of stay (LOS), resource utilization, and charges for unscheduled hemodialysis for end stage renal disease (ESRD) patients presenting to the emergency department (ED).Prospective and retrospective cohorts of ESRD patients meeting requirements of routine or urgent hemodialysis at a tertiary academic hospital from September 25th, 2016 to September 25th, 2018 in 1 year cohorts. Two sample t-tests were used to compare most outcomes of the cohorts with a Mann-Whitney U test used for skewed data. Nephrology group outcomes were analyzed by two-way ANOVA and Kruskal-Wallis and chi-square tests.There were 98 encounters in the historical cohort and 143 encounters in the fast track dialysis cohort. FTD had significantly lowered median ED LOS (4.05 h, vs 5.3 h, p 0.001), median hospital LOS (12.8 h vs 27 h, p 0.001), time to hemodialysis (4.78 h vs 7.29 h, p 0.001), and median hospital charges ($26,040 vs $30,747, p 0.016). The FTD cohort had increased 30 day ED return for each encounter compared to the historical cohort (1.85 visits vs 0.73 visits, p 0.001), however no significant increase in 1 year ED visits (6.52 visits vs 5.80, p = 0.4589) or 1 year readmissions (5.89 readmissions vs 4.81 readmissions, p = 0.3584). Most nephrology groups had significantly lower time to hemodialysis order placement and time to start hemodialysis.A multidisciplinary approach with key stakeholders using a standard pathway can lead to improved efficiency in throughput, reduced charges, and hospital resource utilization for patients needing urgent or routine hemodialysis. A study with a dedicated geographic observation unit for protocolized short stay patients including conditions ranging from low risk chest pain to transient ischemic events that incorporates FTD patients under this protocol should be considered.

Background Black patients are disproportionately affected by COVID-19. The purpose of this study was to compare risks of hospitalization of Black and non-Black COVID-19 patients presenting to the emergency department and, of those hospitalized, to compare mortality and acute kidney injury. Methods A retrospective cohort of 831 adult COVID-19 patients (68.5% Black) who presented to the emergency departments of four academic hospitals, March 1, 2020–May 31, 2020. The primary outcome was risk of hospitalization among Blacks vs. non-Blacks. Secondary outcomes were mortality and acute kidney injury, among hospitalized patients. Results The crude odds of hospitalization were not different in Black vs. non-Black patients; however, with adjustment for age, Blacks had 55% higher odds of hospitalization. Mortality differed most in the model adjusted for age alone. Acute kidney injury was more common in the Black hospitalized patients, regardless of adjustment. Stratified analyses suggested that disparities in the risk of hospitalization and of in-hospital acute kidney injury were highest in the youngest patients. Conclusions Our report shows that Black and non-Black patients presenting to the emergency department with COVID-19 had similar risks of hospitalization and, of those who were hospitalized, similar mortality when adjusted for multiple factors. Blacks had higher risk of acute kidney injury. Our results suggest that examination of disparities without exploration of the individual effects of age and comorbidities may mask important patterns. While stratified analyses suggest that disparities in outcomes may differ substantially by age and comorbid conditions, further exploration among these important subgroups is needed to better target interventions to reduce disparities in COVID-19 clinical outcomes.

Little is known about cancellation frequencies in telemedicine vs. in-person appointments and its impact on clinical outcomes. Our objective was to examine differences between in-person and video telemedicine appointments in terms of cancellation rates by age, race, ethnicity, gender, and insurance, and compare 30-day inpatient hospitalizations rates and 30-day emergency department visit rates between the two visit types. Demographic characteristics and comorbidities for adults scheduled for an Emory Healthcare ambulatory clinic appointment from June 2020 to December 2020 were extracted from the electronic medical record. Each appointment was identified as either a video telemedicine or in-person clinic appointment. The outcomes were ambulatory clinic cancellation rates, 30-day hospitalization rates, and 30-day emergency department visit rates. Multivariable logistic regression was used to assess differences between appointment types. A total of 1,652,623 ambulatory clinic appointments were scheduled. Ambulatory appointment cancellations rates were significantly lower among telemedicine compared to in-person appointments overall (20.4% vs. 31.0%, p

ImportanceStudies have shown that telemedicine use in specific conditions can promote continuity of care, decreases healthcare costs, and can potentially improve clinical outcomes. The COVID-19 pandemic forced many healthcare systems to expand access for patients using telemedicine, but little is known about cancellation frequencies in telemedicine vs. in-person appointments and its impact on clinical outcomes.ObjectiveCompare ambulatory clinic cancellation rates, 30-day inpatient hospitalizations rates, and 30-day emergency department visit rates between in-person and video telemedicine appointments, and examine differences in cancellation rates by age, race/ethnicity, gender, and insurance.DesignA retrospective cohort study.SettingThe largest academic healthcare system in the state of Georgia with ambulatory clinics in urban, suburban and rural settings.ParticipantsAdults scheduled for an ambulatory clinic appointment from June 2020 to December 2020 were included. Each appointment was identified as either a video telemedicine or in-person clinic appointment. Demographics including age, race, ethnicity, gender, primary insurance, and comorbidities were extracted from the electronic medical record.Main Outcomes and MeasuresThe primary process outcome was ambulatory clinic cancellation rates. The primary clinical outcomes were 30-day hospitalization rates and 30-day emergency department visit rates. Multivariable logistic regression was used to assess differences in the clinical outcomes between appointment types.ResultsA total of 1,652,623 ambulatory clinic appointments were scheduled during the study period. Ambulatory appointment cancellations rates were significantly lower among telemedicine appointments compared to in-person appointments (20.5% vs. 31.0%, p Conclusions and RelevanceOur findings suggest that there are fewer barriers to attending an ambulatory care visit via telemedicine relative than in-person. Moreover, using telemedicine was not associated with any more frequent adverse clinical events compared with in-person visits.

Patients with chronic renal failure (CRF) are at high risk of being readmitted to hospitals within 30 days. Routinely collected electronic health record (EHR) data may enable hospitals to predict CRF readmission and target interventions to increase quality and reduce readmissions. We compared the ability of manually extracted variables to predict readmission compared with EHR-based prediction using multivariate logistic regression on 1 year of admission data from an academic medical center. Categorizing three routinely collected variables (creatinine, B-type natriuretic peptide, and length of stay) increased readmission prediction by 30% compared with paper-based methods as measured by C-statistic (AUC). Marginal effects analysis using the final multivariate model provided patient-specific risk scores from 0% to 44.3%. These findings support the use of routinely collected EHR data for effectively stratifying readmission risk for patients with CRF. Generic readmission risk tools may be evidence-based but are designed for general populations and may not account for unique traits of specific patient populations-such as those with CRF. Routinely collected EHR data are a rapid, more efficient strategy for risk stratifying and strategically targeting care. Earlier risk stratification and reallocation of clinician effort may reduce readmissions. Testing this risk model in additional populations and settings is warranted.

Cultural mistrust of government with regard to health issues has pressed the need to engage trusted community leaders with influence and reach in disproportionately affected communities to ensure that essential public health activities related to COVID-19 occur among populations experiencing disproportionate impact from the pandemic. In April of 2020, a Georgia-based integrated academic health care system created a Community Outreach and Health Disparities Collaborative to unite trusted community leaders from faith-based, civic, and health-sector organizations to work with the health system and Emory University to develop tailored approaches and mobilize support within the context of the communities' cultural and individual needs to reduce the burden of COVID-19. We describe the framework used to join health care and academic collaborators with community partners to mobilize efforts to address the disproportionate impact of COVID-19 on racial, ethnic, and socioeconomic minority groups. The framework outlines a series of steps taken that led to a community-driven collaboration designed to engage local influential community leaders as partners in improving access to care for disproportionately affected communities, collaborations that could be replicated by other large health care systems. This framework can also be applied to other chronic diseases or future public health emergencies to improve communication, education, and health care access for communities experiencing disproportionate impact.

Background This study objective was to describe changes in the utilization of a protocol-driven emergency department observation unit (EDOU) for chest pain over time. Methods This is a retrospective serial cross-sectional study of data from a clinical data warehouse of a single integrated healthcare system. We estimated long-term trends (2009-2019) in EDOU visits at 4 system hospitals, using monthly proportions as the main outcome, and month of visit as the exposure variable, accounting for age and sex. Rate changes associated with compulsory use of the History, EKG, Age, Risk factors, Troponin (HEART) score in 2016 were analyzed. Results There were 83,168 EDOU admissions among 1.3 million ED visits during the study interval, with an average admission rate of 5.9% of ED visits. The most common conditions were chest pain (41.2%), transient ischemic attack (7.8%), dehydration (6.3%), syncope (5.8%), and abdominal pain (5.2%). In each hospital, there was a temporal annual decline in the proportion of EDOU visits for chest pain protocols ranging from -7.9% to -2.8%, an average rate of -3.3% per year (95% CI, -4.6% to -2.0%) or a 54% (from 54% to 25%) relative decline in over the 11-year study interval. This decline was significantly steeper in younger middle-aged patients (ages 39-49). The HEART score intervention had a small impact on baseline decline of -3.1% at the 2 intervention hospitals, reducing it by -1.5% (95% CI, -2.2% to -0.8%). Conclusions Utilization of the EDOU for chest pain decreased over time, with corresponding increases in other conditions. This decline preceded the introduction of the HEART score.

Author(s): Goines, Jae; Iledare, Elizabeth; Ander, Douglas; Wallenstein, Joshua; Anachebe, Ngozi; Elks, Martha; Franks, Nicole; White, Melissa; Shayne, Philip; Henn, Megan; Heron, Sheryl | Abstract: Introduction: Creating a racially and ethnically diverse workforce remains a challenge for medical specialties, including emergency medicine (EM). One area to examine is a partnership between a predominantly white institution (PWI) with a historically black college and university (HBCU) to determine whether this partnership would increase the number of underrepresented in medicine (URiM) in EM who are from a HBCU.Methods: Twenty years ago Emory Department of Emergency Medicine began its collaboration with Morehouse School of Medicine (MSM) to provide guidance to MSM students who were interested in EM. Since its inception, our engagement and intervention has evolved over time to include mentorship and guidance from the EM clerkship director, program director, and key faculty.Results: Since the beginning of the MSM-Emory EM partnership, 115 MSM students have completed an EM clerkship at Emory. Seventy-two of those students (62.6%) have successfully matched into an EM residency program. Of those who matched into EM, 22 (32%) have joined the Emory EM residency program with the remaining 50 students matching at 40 other EM programs across the nation.Conclusion: Based on our experience and outcomes with the Emory-MSM partnership, we are confident that a partnership with an HBCU school without an EM residency should be considered by residency programs to increase the number of URiM students in EM, which could perhaps translate to other specialties.

Purpose: Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease characterized by an extensive fibroinflammatory stroma, which includes abundant cancer-associated fibroblast (CAF) populations. PDAC CAFs are heterogeneous, but the nature of this heterogeneity is incompletely understood. The Hedgehog (HH) pathway functions in PDAC in a paracrine manner, with ligands secreted by cancer cells signaling to stromal cells in the microenvironment. Previous reports investigating the role of HH signaling in PDAC have been contradictory, with HH signaling alternately proposed to promote or restrict tumor growth. In light of the newly discovered CAF heterogeneity, we investigated how HH pathway inhibition reprograms the PDAC microenvironment. Experimental Design: We used a combination of pharmacologic inhibition, gain- and loss- of-function genetic experiments, CyTOF, and single cell RNA-sequencing to study the roles of HH signaling in PDAC. Results: We find that HH signaling is uniquely activated in fibroblasts and differentially elevated in myofibroblastic CAFs (myCAFs) compared to inflammatory CAFs (iCAFs). SHH overexpression promotes tumor growth, while HH pathway inhibition with the Smoothened antagonist LDE225 impairs tumor growth. Further, HH pathway inhibition reduces myCAF numbers and increases iCAF numbers, which correlates with a decrease in cytotoxic T cells and an expansion in Tregs, consistent with increased immune suppression. Conclusions: HH pathway inhibition alters fibroblast composition and immune infiltration in the pancreatic cancer microenvironment. Citation Format: Nina G. Steele, Giulia Biffi, Samantha Kemp, Yaqing Zhang, Donovan Drouillard, LiJyun Syu, Yuan Hao, Tobiloba Oni, Erin Brosnan, Ela Elyada, Abhishek Doshi, Christa Hansma, Carlos Espinoza, Ahmed Abbas, Stephanie The, Valerie Irizarry-Negron, Christopher Halbrook, Nicole Franks, Megan Hoffman, Eileen Carpenter, Zeribe Nwosu, Youngkyu Park, Howard Crawford, Costas Lyssiotis, Timothy Frankel, Arvind Rao, Filip Bednar, Andrzej Dlugosz, Jonathan Preall, David Tuveson, Benjamin Allen, Marina Pasca di Magliano. Inhibition of Hedgehog signaling alters fibroblast composition in pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 117.

The purpose of our study was to improve the quality of care in an emergency department (ED) as measured by length of stay (LOS), total turnaround time (TAT) for laboratory result reporting, and the blood culture contamination rate. Data were included for patients who had at least 1 of 5 laboratory tests performed as part of their care. The study was conducted in 2 phases. First, phlebotomy was performed by a dedicated phlebotomist or nonlaboratory personnel. The second phase added a dedicated laboratory technologist. There was a significant reduction in total TAT for all tests (at least 46 and 75 minutes in the respective interventions), and blood culture contamination rates dropped from 5.0% to 1.1%, although the overall LOS did not change. Estimated cost avoidance is more than $400,000 annually. Quality of care in an ED is improved when samples are collected by a dedicated phlebotomist, but overall LOS does not change.

Cultural, spiritual, and religious diversity of emergency department patients is increasing while that of emergency physicians in particular remains predominantly homogeneous. With a discordance of cultural, race, and ethnicity exist, in the case of ethical conflict -resolution becomes that much more difficult. Patients may feel vulnerable when their emergency care provider does not understand his or her cultural, spiritual, and religious uniqueness as it relates to the patient-doctor interaction and health care decision making. This review will examine (1) language differences; (2) cultural, religious, and spiritual differences between patient and provider; (3) differing explanatory models of disease between patient and provider; and (4) diverse bioethical models of decision making of differing cultures in an effort to reduce vulnerabilities.

The American College of Cardiology/American Heart Association guidelines for ST-elevation myocardial infarction state that an electrocardiogram (ECG) should be performed on patients with suspected acute coronary syndrome upon presentation to the emergency department (ED) within 10 minutes.: To determine how previously published clinical criteria for obtaining an ECG at ED triage perform in a population of patients receiving emergency cardiac catheterization for suspected myocardial infarction. This rule was originally derived by Graff to identify clinical criteria for obtaining an ECG at triage to rapidly identify patients with acute myocardial infarction. The Graff rule was developed in a setting where lytic therapy was the primary reperfusion strategy. A modification proposed by Glickman adds several more criteria in an effort to capture additional patients. We hypothesized that the Graff rule would identify most patients for whom the cardiac catheterization laboratory (CCL) was activated and that the Glickman rule would capture the remaining patients.: Three trained physician reviewers retrospectively applied the Graff decision rule to 430 consecutive patients from a database of emergency CCL activations by ED physicians. The Graff rule recommends that patients between the ages of 30 and 49 years received a rapid ECG if they complained of chest pain and those aged 50 years or older received a rapid ECG when they complained of chest pain, shortness of breath, palpitations, weakness, or syncope. The newly developed Glickman rule, which included nausea and vomiting in patients over the age of 80 years, was applied to the patients where the Graff rule was negative. The triage note or earliest medical contact documentation was used to determine whether the patient's complaints would have resulted in a rapid ECG by the decision rule. Each case was reviewed for acute myocardial infarction as defined by high-grade stenosis on the subsequent emergent cardiac catheterization. A single data collection Microsoft Excel spreadsheet was used, and descriptive statistics were performed in Excel and Stata.: Of the 430 CCL activations, 415 (97%; 95% confidence interval, 95%-99%) were identified by the Graff rule. Of the 12 patients who were not identified by the rule, only 2 more were identified by the Glickman criteria. Among patients with confirmed ST-elevation myocardial infarction (79% of CCL activations), the Graff rule was 98% sensitive (95% confidence interval, 96%-99%).: The Graff ECG triage rule identified almost all patients for whom the CCL was activated. Modification of the rule as proposed by Glickman added very little to the rule's sensitivity, while increasing the number of ECGs required at triage.

Optimizing care for patients suspected of having acute coronary syndromes relies on timeliness of key information that impacts intervention decisions. Improvement in turnaround times for troponin in emergency departments (EDs) is a key success measure for providing quality care for this patient population. Here we describe the verification and implementation of point-of-care testing …

The National Preparedness for Response Exercise Program (PREP) has been in operation for over 15 years; Plan Holders and Area Committees1 have exercised hard and expended a great deal of m...