Measuring Emergency Department Workload Perception Using Electronic Medical Record Measures of Patient Volume and Acuity.

BACKGROUND: Workload in the emergency department (ED) fluctuates and there is no established model for measurement of clinician-level ED workload. OBJECTIVE: The aim of this study was to measure perceived ED workload and assess the relationship between perceived workload and objective measures of workload from the electronic medical record (EMR). METHODS: This study was conducted at a tertiary care, academic ED from July 1, 2020 through April 13, 2021. Attending workload perceptions were collected using a 5-point scale in three care areas with variable acuity. We collected eight EMR measures thought to correlate with perceived workload. EMR values were compared across areas of the department using ANOVA and correlated with attending workload ratings using linear regression. RESULTS: We collected 315 unique workload ratings, which were normally distributed. For the entire department, there was a weak positive correlation between reported workload perception and mean percentage of inpatient admissions (r = 0.23; p < 0.001), intensive care unit admissions (r = 0.2; p < 0.001), patient arrivals per shift (r = 0.14; p = 0.017), critical care billed visits (r = 0.22; p < 0.001), cardiopulmonary resuscitation code activations (r = 0.2; p < 0.001), and level 5 visits (r = 0.13; p = 0.02). There was weak negative correlation for ED discharges (r = -0.23; p < 0.001). Several correlations were stronger in individual care areas, including percent admissions in the lowest-acuity area (r = 0.43; p = 0.033) and patient arrivals in the highest-acuity area (r = 0.44; p < .01). No significant correlation was found in any area for observation admissions or trauma activations. CONCLUSIONS: In this study, EMR measures of workload were not closely correlated with ED attending physician workload perception. Future study should examine additional factors contributing to physician workload outside of the EMR.

CT utilization in evaluation of skin and soft tissue extremity infections in the ED: Retrospective cohort study.

OBJECTIVE: Skin and soft tissue infections (SSTI) are commonly diagnosed in the emergency department (ED). While most SSTI are diagnosed with patient history and physical exam alone, ED clinicians may order CT imaging when they suspect more serious or complicated infections. Patients who inject drugs are thought to be at higher risk for complications from SSTI and may undergo CT imaging more frequently. The objective of this study is to characterize CT utilization when evaluating for SSTI in ED patients particularly in patients with intravenous drug use (IVDU), the frequency of significant and actionable findings from CT imaging, and its impact on subsequent management and ED operations. METHODS: We performed a retrospective analysis of encounters involving a diagnosis of SSTI in seven EDs across an integrated health system between October 2019 and October 2021. Descriptive statistics were used to assess overall trends, compare CT utilization frequencies, actionable imaging findings, and surgical intervention between patients who inject drugs and those who do not. Multivariable logistic regression was used to analyze patient factors associated with higher likelihood of CT imaging. RESULTS: There were 4833 ED encounters with an ICD-10 diagnosis of SSTI during the study period, of which 6% involved a documented history of IVDU and 30% resulted in admission. 7% (315/4833) of patients received CT imaging, and 22% (70/315) of CTs demonstrated evidence of possible deep space or necrotizing infections. Patients with history of IVDU were more likely than patients without IVDU to receive a CT scan (18% vs 6%), have a CT scan with findings suspicious for deep-space or necrotizing infection (4% vs 1%), and undergo surgical drainage in the operating room within 48 h of arrival (5% vs 2%). Male sex, abnormal vital signs, and history of IVDU were each associated with higher likelihood of CT utilization. Encounters involving CT scans had longer median times to ED disposition than those without CT scans, regardless of whether these encounters resulted in admission (9.0 vs 5.5 h), ED observation (5.5 vs 4.1 h), or discharge (6.8 vs 2.9 h). DISCUSSION: ED clinicians ordered CT scans in 7% of encounters when evaluating for SSTI, most frequently in patients with abnormal vital signs or a history of IV drug use. Patients with a history of IVDU had higher rates of CT findings suspicious for deep space infections or necrotizing infections and higher rates of incision and drainage procedures in the OR. While CT scans significantly extended time spent in the ED for patients, this appeared justified by the high rate of actionable findings found on imaging, particularly for patients with a history of IVDU.

Post-discharge follow-up attendance after pediatric dermatology consultation in the emergency department: A retrospective analysis.

The emergency department (ED) is a frequent source of care for pediatric patients with dermatologic conditions, possibly owing to limited access to routine and urgent outpatient dermatology appointments. The demographics, clinical characteristics, follow-up scheduling practices, and attendance rates of 50 pediatric and 142 adult patients evaluated by the dermatology consult service in the ED were reviewed. High rates of follow-up attendance were observed in the pediatric and adult populations, with the majority receiving an appointment within 2 weeks. The dermatology consult service may play an important role in facilitating post-discharge access to outpatient care.

Impact of iodinated contrast allergies on emergency department operations.

OBJECTIVES: Adverse reactions to intravenous (IV) iodinated contrast media are classified by the American College of Radiology (ACR) Manual on Contrast Media as either allergic-like (ALR) or physiologic (PR). Premedication may be beneficial for patients who have prior documented mild or moderate ALR. We sought to perform a retrospective analysis of patients who received computed tomography (CT) imaging in our emergency department (ED) to establish whether listing of an iodinated contrast media allergy results in a delay in care, increases the use of non-contrast studies, and to quantify the incidence of listing iodinated contrast allergies which do not necessitate premedication. METHODS: We performed a retrospective analysis of CT scans performed in our academic medical center ED during a 6-month period. There were 12,737 unique patients of whom 454 patients had a listed iodinated contrast allergy. Of these, 106 received IV contrast and were categorized as to whether premedication was necessary. Descriptive statistics were used to evaluate patient demographics, clinical characteristics, and operational outcomes. A multivariate linear regression model was used to predict time from order to start (OTS time) of CT imaging while controlling for co-variates. RESULTS: Non-allergic patients underwent contrast-enhanced CT imaging at a significantly higher rate than allergic patients (45.9% vs. 23.3%, p < 0.01). The OTS time for allergic patients who underwent contrast-enhanced CT imaging was 360 min and significantly longer than the OTS time for non-allergic patients who underwent contrast-enhanced CT imaging (118 min, p < 0.001). Of the 106 allergic patients who underwent contrast-enhanced CT imaging, 27 (25.5%) did not meet ACR criteria for necessitating premedication. The average OTS time for these 27 patients was 296 min, significantly longer than the OTS for non-allergic patients (118 min, p < 0.01) and did not differ from the OTS time for the 79 patients who did meet premedication criteria (382 min, p = 0.23). A multivariate linear regression showed that OTS time was significantly longer if a contrast allergy was present (p < 0.001). CONCLUSION: A chart-documented iodinated contrast allergy resulted in a significant increase in time to obtain a contrast-enhanced CT study. This delay persisted among patients who did not meet ACR criteria for premedication. Appropriately deferring premedication could potentially reduce the ED length-of-stay by over 4 h for these patients.

Level-loading a health system by transferring emergency department patients to a community hospital: Prospective cohort study.

BACKGROUND: Emergency department boarding and crowding lead to worse patient outcomes and patient satisfaction. OBJECTIVE: We describe the implementation of a program to transfer patients requiring medical admission from an academic emergency department to a community hospital's medical floor and analyze its effects on patient outcomes. METHODS: A prospective cohort study was performed. Data was collected on patient flow through the transfer program. Patient characteristics, boarding time in the emergency department, and hospital-based outcome measures were compared between patients in the transfer program who were successfully transferred to the community hospital and patients who were admitted to the academic medical center. RESULTS: 79 patients were successfully transferred to the community hospital between November 23, 2020 and August 5, 2021, resulting in 279 bed days in the community hospital. Successfully transferred patients experienced a statistically shorter ED boarding time (5.7 vs. 10.9 h, p < 0.0001), ED length of stay (10.5 vs 16.1 h, p < 0.0001), and hospital length of stay (3.5 vs 5.7 days, p < 0.0001) compared to patients initially referred to the transfer program who were admitted to the academic medical center. There were no reported adverse events during transfer, upgrades to the ICU within 24 h of admission, or inpatient deaths for patients who were transferred. CONCLUSION: We implemented an academic emergency department to partner community hospital transfer program that safely level-loads medical patients in a healthcare system.

COVID-19 Seroprevalence in ED Health Care Professionals Study: A Cross-Sectional Study.

INTRODUCTION: ED health care professionals are at the frontline of evaluation and management of patients with acute, and often undifferentiated, illness. During the initial phase of the SARS-CoV-2 outbreak, there were concerns that ED health care professionals may have been at increased risk of exposure to SARS-CoV-2 due to difficulty in early identification of patients. This study assessed the seroprevalence of SARS-CoV-2 antibodies among ED health care professionals without confirmed history of COVID-19 infection at a quaternary academic medical center. METHODS: This study used a cross-sectional design. An ED health care professional was deemed eligible if they had worked at least 4 shifts in the adult emergency department from April 1, 2020, through May 31, 2020, were asymptomatic on the day of blood draw, and were not known to have had prior documented COVID-19 infection. The study period was December 17, 2020, to January 27, 2021. Eligible participants completed a questionnaire and had a blood sample drawn. Samples were run on the Roche Cobas Elecsys Anti-SARS-CoV-2 antibody assay. RESULTS: Of 103 health care professionals (16 attending physicians, 4 emergency residents, 16 advanced practice professionals, and 67 full-time emergency nurses), only 3 (2.9%; exact 95% CI, 0.6%-8.3%) were seropositive for SARS-CoV-2 antibodies. DISCUSSION: At this quaternary academic medical center, among those who volunteered to take an antibody test, there was a low seroprevalence of SARS-CoV-2 antibodies among ED clinicians who were asymptomatic at the time of blood draw and not known to have had prior COVID-19 infection.

Improving care coordination and reducing ED utilization through patient navigation.

OBJECTIVES: Our study examines the impact of an emergency department (ED) patient navigation program for patients in a Medicaid accountable care organization across 3 hospitals in a large health system. Our program engages community health workers to (1) promote primary care engagement, (2) facilitate care coordination, and (3) identify and address patients' health-related social needs. STUDY DESIGN: Our study was a retrospective analysis of health care utilization and costs in the 30 days following the index ED visit, comparing individuals receiving ED navigation and matched controls. The primary outcome of interest was all-cause return ED visits, and our secondary outcomes were hospital admissions and completed primary care appointments. METHODS: Patients with ED visits who received navigation were matched to comparable patients with ED visits without an ED navigator interaction. Outcomes were analyzed using fixed effects logistic regression models adjusted for patient demographics, ED visit characteristics, and preceding utilization. Our primary outcome was odds of a return ED visit within 30 days, and our secondary outcomes were odds of a hospitalization within 30 days and odds of having primary care visit within 30 days. RESULTS: In our sample, there were 1117 ED visits by patients meeting our inclusion criteria with an ED navigator interaction, with 3351 matched controls. ED navigation was associated with 52% greater odds of a completed follow-up primary care appointment (odds ratio [OR], 1.52; 95% CI, 1.29-1.77). In patients with no ED visits in the preceding 6 months, ED navigation was associated with 32% decreased odds of repeat ED visits in the subsequent 30 days (OR, 0.68; 95% CI, 0.52-0.90). There was no statistically significant impact on return ED visits in those with higher baseline ED utilization. CONCLUSIONS: Our program demonstrates that high-intensity, short-term patient navigation in the ED can help reduce ED visits in those with low baseline ED utilization and facilitate stronger connections with primary care.

Evaluation of a COVID-19 emergency department observation protocol.

OBJECTIVES: Caring for patients with COVID-19 has resulted in a considerable strain on hospital capacity. One strategy to mitigate crowding is the use of ED-based observation units to care for patients who may have otherwise required hospitalization. We sought to create a COVID-19 Observation Protocol for our ED Observation Unit (EDOU) for patients with mild to moderate COVID-19 to allow emergency physicians (EP) to gather more data for or against admission and intervene in a timely manner to prevent clinical deterioration. METHODS: This was a retrospective cohort study which included all patients who were positive for SARS-CoV-2 at the time of EDOU placement for the primary purpose of monitoring COVID-19 disease. Our institution updated the ED Observation protocol partway into the study period. Descriptive statistics were used to characterize demographics. We assessed for differences in demographics, clinical characteristics, and outcomes between admitted and discharged patients. Multivariate logistic regression models were used to assess whether meeting criteria for the ED observation protocols predicted disposition. RESULTS: During the time period studied, 120 patients positive for SARS-CoV-2 were placed in the EDOU for the primary purpose of monitoring COVID-19 disease. The admission rate for patients in the EDOU during the study period was 35%. When limited to patients who met criteria for version 1 or version 2 of the protocol, this dropped to 21% and 25% respectively. Adherence to the observation protocol was 62% and 60% during the time of version 1 and version 2 implementation, respectively. Using a multivariate logistic regression, meeting criteria for either version 1 (OR = 3.17, 95% CI 1.34-7.53, p < 0.01) or version 2 (OR = 3.18, 95% CI 1.39-7.30, p < 0.01) of the protocol resulted in a higher likelihood of discharge. There was no difference in EDOU LOS between admitted and discharged patients. CONCLUSION: An ED observation protocol can be successfully created and implemented for COVID-19 which allows the EP to determine which patients warrant hospitalization. Meeting protocol criteria results in an acceptable admission rate.

Low-Volume Bowel Preparation Is Associated With Reduced Time to Colonoscopy in Hospitalized Patients: A Propensity-Matched Analysis.

INTRODUCTION: Delays in inpatient colonoscopy are commonly caused by inadequate bowel preparation and result in increased hospital length of stay (LOS) and healthcare costs. Low-volume bowel preparation (LV-BP; sodium sulfate, potassium sulfate, and magnesium sulfate ) has been shown to improve outpatient bowel preparation quality compared with standard high-volume bowel preparations (HV-BP; polyethylene glycol ). However, its efficacy in hospitalized patients has not been well-studied. We assessed the impact of LV-BP on time to colonoscopy, hospital LOS, and bowel preparation quality among inpatients. METHODS: We performed a propensity score-matched analysis of adult inpatients undergoing colonoscopy who received either LV-BP or HV-BP before colonoscopy at a quaternary academic medical center. Multivariate regression models with feature selection were developed to assess the association between LV-BP and study outcomes. RESULTS: Among 1,807 inpatients included in this study, 293 and 1,514 patients received LV-BP and HV-BP, respectively. Among the propensity score-matched population, LV-BP was associated with a shorter time to colonoscopy (ß: -0.43 [95% confidence interval: -0.56 to -0.30]) while having similar odds of adequate preparation (odds ratio: 1.02 [95% confidence interval: 0.71-1.46]; P = 0.92). LV-BP was also significantly associated with decreased hospital LOS among older patients (age ≥ 75 years), patients with chronic kidney disease, and patients who were hospitalized with gastrointestinal bleeding. DISCUSSION: LV-BP is associated with decreased time to colonoscopy in hospitalized patients. Older inpatients, inpatients with chronic kidney disease, and inpatients with gastrointestinal bleeding may particularly benefit from LV-BP. Prospective studies are needed to further establish the role of LV-BP for inpatient colonoscopies.

Impact of Emergency Department Crowding on Discharged Patient Experience.

INTRODUCTION: While emergency department (ED) crowding has deleterious effects on patient care outcomes and operational efficiency, impacts on the experience for patients discharged from the ED are unknown. We aimed to study how patient-reported experience is affected by ED crowding to characterize which factors most impact discharged patient experience. METHODS: This institutional review board-exempt, retrospective, cohort study included all discharged adult ED patients July 1, 2020-June 30, 2021 with at least some response data to the the National Research Corporation Health survey, sent to most patients discharged from our large, academic medical center ED. Our query yielded 9,401 unique encounters for 9,221 patients. Based on responses to the summary question of whether the patient was likely to recommend our ED, patients were categorized as "detractors" (scores 0-6) or "non-detractors" (scores 7-10). We assessed the relationship between census and patient experience by 1) computing percentage of detractors within each care area and assessing for differences in census and boarder burden between detractors and non-detractors, and 2) multivariable logistic regression assessing the relationship between likelihood of being a detractor in terms of the ED census and the patient's last ED care area. A second logistic regression controlled for additional patient- and encounter-specific covariates. RESULTS: Survey response rate was 24.8%. Overall, 13.9% of responders were detractors. There was a significant difference in the average overall ED census for detractors (average 3.70 more patients physically present at the time of arrival, 95% CI 2.33-5.07). In unadjusted multivariable analyses, three lower acuity ED care areas showed statistically significant differences of detractor likelihood with changes in patient census. The overall area under the curve (AUC) for the unadjusted model was 0.594 (CI 0.577-0.610). The adjusted model had higher AUC (0.673, CI 0.657-.690]; P<0.001), with the same three care areas having significant differences in detractor likelihood based on patient census changes. Length of stay (OR 1.71, CI 1.50-1.95), leaving against medical advice/without being seen (OR 5.15, CI 3.84-6.89), and the number of ED care areas a patient visited (OR 1.16, CI 1.01-1.33) was associated with an increase in detractor likelihood. CONCLUSION: Patients arriving to a crowded ED and ultimately discharged are more likely to have negative patient experience. Future studies should characterize which variables most impact patient experience of discharged ED patients.

The Association of Demographic, Socioeconomic, and Geographic Factors with Potentially Preventable Emergency Department Utilization.

INTRODUCTION: Prevention quality indicators (PQI) are a set of measures used to characterize healthcare utilization for conditions identified as being potentially preventable with high quality ambulatory care. These indicators have recently been adapted for emergency department (ED) patient presentations. In this study the authors sought to identify opportunities to potentially prevent emergency conditions and to strengthen systems of ambulatory care by analyzing patterns of ED utilization for PQI conditions. METHODS: Using multivariable logistic regression, the authors analyzed the relationship of patient demographics and neighborhood-level socioeconomic indicators with ED utilization for PQI conditions based on ED visits at an urban, academic medical center in 2017. We also used multilevel modeling to assess the contribution of these variables to neighborhood-level variation in the likelihood of an ED visit for a PQI condition. RESULTS: Of the included 98,522 visits, 17.5% were categorized as potentially preventable based on the ED PQI definition. On multivariate analysis, age < 18 years, Black race, and Medicare insurance had the strongest positive associations with PQI visits, with adjusted odds ratios (aOR) of 1.41 (95% confidence interval [CI], 1.29, 1.56), 1.40 (95% CI, 1.22, 1.61), and 1.40 (95% CI, 1.28, 1.54), respectively. All included neighborhood-level socioeconomic variables were significantly associated with PQI visit likelihood on univariable analysis; however; only level of education attainment and private car ownership remained significantly associated in the multivariable model, with aOR of 1.13 (95% CI, 1.10, 1.17) and 0.96 (95% CI, 0.93, 0.99) per quartile increase, respectively. This multilevel model demonstrated significant variation in PQI visit likelihood attributable to neighborhood, with interclass correlation decreasing from 5.92% (95% CI, 5.20, 6.73) in our unadjusted model to 4.12% (95% CI, 3.47, 4.87) in our fully adjusted model and median OR similarly decreasing from 1.54 to 1.43. CONCLUSION: Demographic and local socioeconomic factors were significantly associated with ED utilization for PQI conditions. Future public health efforts can bolster efforts to target underlying social drivers of health and support access to primary care for patients who are Black, Latino, pediatric, or Medicare-dependent to potentially prevent emergency conditions (and the need for emergency care). Further research is needed to explore other factors beyond demographics and socioeconomic characteristics driving spatial variation in ED PQI visit likelihood.

COVID-19 Level-Loading: Transferring Emergency Department Patients to a Partner Academic Medical Center Within a Healthcare System.

COVID-19 continues to challenge bed capacity and the ability of hospitals to provide quality care for patients around the country. However, the COVID-19 pandemic at a given point in time does not impact all hospitals equally-even within a single healthcare system, one hospital may be caring for patients in the hallways, while another has available inpatient beds. Here, we demonstrate a program to level-load COVID-19 patients between 2 academic medical centers in a healthcare system by transferring patients at the time of admission from the emergency department of one institution directly to an inpatient bed of the other institution. Over 42 days, 50 patients were transferred which saved 432 bed-days at the home academic medical center without any adverse events during transfer or upgrades to the ICU within the first 24 hours of admission. Programs like this can expand a healthcare system's ability to allocate personnel and resources efficiently for patients and maximize the quality of care delivered even during a pandemic.

Types and Timing of Teaching During Clinical Shifts in an Academic Emergency Department.

OBJECTIVES: Academic emergency physicians must find ways to teach residents, medical students, and advanced practice providers amidst the myriad demands on their time during clinical shifts. In this study, we sought to characterize in detail what types of teaching occurred, how often they occurred, and how attending teaching styles differed at one academic emergency department (ED). METHODS: We conducted this observational study in a large, urban, quaternary care, academic Level I trauma center with an emergency medicine (EM) residency. The on-shift activities of EM attending physicians (attendings) were observed and recorded over 42 hours by a fourth-year EM resident with co-observations by an EM education fellow. Teaching categories were identified, developed iteratively, and validated by the study team. We then characterized the distribution of teaching activities during shifts through the coding of attending activities every 30 seconds during observations. Teaching archetypes were then developed through the synthesis of notes taken during observations. RESULTS: Attendings spent a mean of 25% (standard deviation 7%) of their time engaging in teaching activities during shifts. Of this teaching time 36% consisted of explicit instruction, while the remaining 64% of teaching occurred implicitly through the discussion of cases with learners. The time distribution of on-shift activities varied greatly between attendings, but three archetypes emerged for how attendings coupled patient care and teaching: "in-series"; "in-parallel modeling"; and "in-parallel supervision." CONCLUSIONS: Teaching in this academic ED took many forms, most of which arose organically from patient care. The majority of on-shift teaching occurred through implicit means, rather than explicit instruction. Attendings also spent their time in markedly different ways and embodied distinct teaching archetypes. The impact of this variability on both educational and patient care outcomes warrants further study.

An Analysis of Ambulance Transport and Out-of-Network Emergency Department Utilization in an Accountable Care Organization.

For hospital-affiliated accountable care organizations (ACOs), emergency care represents a unique challenge for coordination of care and a major source of ACO leakage. The authors analyzed emergency department (ED) visits among ACO members to assess the potential impact of ambulance transport on the use of in-network versus out-of-network EDs. To better understand factors influencing the use of in-network versus out-of-network EDs, 2018 claims data from members of a regional subset of a large ACO in the greater Boston area were analyzed. Within this population, multivariable logistic regression was used to assess the relationship between ambulance transport as well as demographic factors, insurance type, and hospital distance on the use of in-network versus out-of-network EDs. Arrival to an ED via ambulance was found to be significantly associated with reduced odds of presenting to an in-network ED compared to arriving by private transportation (odds ratio 0.70, 95% confidence interval: 0.58-0.85). Age older than 65 years, commercial insurance (relative to Medicare), proximity to an in-network ED, and distance from an out-of-network ED also were significantly associated with use of in-network EDs relative to out-of-network EDs. Given the central role of the ED as a primary source of hospital admissions in the United States, emergency care represents a key potential target for interventions aimed at reducing patient leakage. Future efforts should aim to identify and evaluate new ways that emergency medical services can be leveraged to promote effective care coordination.

The Health and Social Needs of Patients Discharged From the Emergency Department With Suspected COVID-19.

Health-related social needs (HRSNs), such as food or housing insecurity, are important drivers of disparities in outcomes during public health emergencies. We describe the development of a telehealth follow-up program in Boston, Massachusetts, for patients discharged from the emergency department after coronavirus disease 2019 (COVID-19) testing to identify patients with worsening clinical symptoms, to screen for unmet HRSNs, and to deliver self-isolation counseling and risk-reduction strategies for socially vulnerable people. We prioritized telephone calls to patients with public health insurance and patients without primary care physicians. In the first 43 days of operation, March 30-May 12, 2020, our intervention reached 509 patients, with 209 (41.1%) patients reporting an HRSN, most commonly related to food, housing, or utilities. Thirty-one (6.1%) patients required assessment by a clinician for clinical worsening. This public health intervention may be useful for other institutions developing programs to address the social and health needs of patients discharged with suspected COVID-19.

Comparing neighborhood-based indices of socioeconomic risk factors and potentially preventable emergency department utilization.

BACKGROUND: Neighborhood stress score (NSS) and area deprivation index (ADI) are two neighborhood-based composite measures used to quantify an individual's socioeconomic risk based on home location. In this analysis, we compare the relationships between an individual's socioeconomic risk, based on each of these measures, and potentially preventable acute care utilization. METHODS: Using emergency department (ED) visit data from two academic medical centers in Boston, Massachusetts, we conducted adjusted Poisson regressions of ADI decile and NSS decile with counts of low acuity ED visits, admissions for ambulatory care sensitive conditions (ACSCs), and patients with high frequency ED utilization at the census block group (CBG) level within the greater Boston area. RESULTS: Both NSS and ADI decile were associated with elevated rates of utilization, although the associated incidence rate ratios (IRRs) for NSS were higher than those for ADI across all three measures. NSS decile was associated with IRRs of 1.11 [95% CI: 1.10-1.12], 1.16 [1.14-1.17], and 1.22 [1.19-1.25] for ACSC admissions, low acuity ED visits, and patients with high frequency ED utilization, respectively; compared with 1.04 [1.04-1.05], 1.11 [1.10-1.11], and 1.10 [1.08-1.12] for ADI decile. CONCLUSION: ADI and NSS both represent effective tools to assess the potential impact of geographically-linked socioeconomic drivers of health on potentially preventable acute care utilization. NSS decile was associated with a greater effect size for each measure of utilization suggesting that this may be a stronger predictor, however, additional research is necessary to evaluate these findings in other contexts.

The cases not seen: Patterns of emergency department visits and procedures in the era of COVID-19.

OBJECTIVE: Prior data suggest Emergency Department (ED) visits for many emergency conditions decreased during the initial COVID-19 surge. However, the pandemic's impact on the wide range of conditions seen in EDs, and the resources required for treating them, has been less studied. We sought to provide a comprehensive analysis of ED visits and associated resource utilization during the initial COVID-19 surge. METHODS: We performed a retrospective analysis from 5 hospitals in a large health system in Massachusetts, comparing ED encounters from 3/1/2020-4/30/2020 to identical weeks from the prior year. Data collected included demographics, ESI, diagnosis, consultations ordered, bedside procedures, and inpatient procedures within 48 h. We compared raw frequencies between time periods and calculated incidence rate ratios. RESULTS: ED volumes decreased by 30.9% in 2020 compared to 2019. Average acuity of ED presentations increased, while most non-COVID-19 diagnoses decreased. The number and incidence rate of all non-critical care ED procedures decreased, while the occurrence of intubations and central lines increased. Most subspecialty consultations decreased, including to psychiatry, trauma surgery, and cardiology. Most non-elective procedures related to ED encounters also decreased, including craniotomies and appendectomies. CONCLUSION: Our health system experienced decreases in nearly all non-COVID-19 conditions presenting to EDs during the initial phase of the pandemic, including those requiring specialty consultation and urgent inpatient procedures. Findings have implications for both public health and health system planning.

Evaluation of Process Improvement Interventions on Handoff Times between the Emergency Department and Observation Unit.

BACKGROUND: Mitigating hospital crowding requires judicious use of inpatient resources, making Emergency Department Observation Units (EDOUs) an increasingly vital destination for patients that are not suitable for discharge. Maximizing the utility of the EDOU hinges on efficient patient transfers and safe provider communication, which may be accomplished with asynchronous handoff and an emphasis on pull-through operations. OBJECTIVE: The purpose of this study was to assess the impact of an electronic, asynchronous handoff replacing verbal handoff on transfer times from the Emergency Department (ED) to the EDOU. METHODS: A retrospective observational study was performed with patients transferred to the EDOU throughout several process improvement measures focused on asynchronous handoff. Multivariable linear regression analysis was used to determine the effect that these process improvements had on the time from EDOU bed assignment to patient transfer. RESULTS: There were 14,996 EDOU stays during the 20-month period included in the analysis. Time from EDOU bed assignment to patient transfer decreased significantly with all three interventions studied. An auto-page to the clinicians notifying them of a ready bed reduced the mean time to transfer by 10.1 min (p < 0.0001), asynchronous nursing handoff reduced it by 3.57 min (p = 0.0299), and asynchronous clinician handoff reduced it by 14.67 min (p < 0.0001). CONCLUSION: Introducing automatic pages regarding bed status and converting the handoff process from a verbal model to an asynchronous, electronic handoff were effective ways to reduce the time from bed assignment to transfer out of the ED for patients being sent to the EDOU.

Time-Driven Activity-Based Costing of Emergency Department Postdischarge Nurse Calls.

EXECUTIVE SUMMARY: Postdischarge telephone calls by nurses can decrease patient return rates to healthcare systems. To date, call program costs have not been compared with patient return rates to determine cost-effectiveness. We used time-driven activity-based costing to determine the costs associated with such programs. We developed process maps for a postdischarge nurse call program in the emergency department of an urban, quaternary care, academic, Level 1 trauma center. Our primary outcome was the total cost of calls, which is based on the length of the calls (after 8 hours of observation) and the total capacity rate cost based on national registered nurse salary and space costs. Seven-day return rate differences between patients reached and those not reached from July 2018 to March 2019 were determined with a Z-test. We observed 113 postdischarge calls for 79 patients. The mean (SD) length of calls for patients reached was 4.3 minutes (1.8) compared with 2.6 minutes (0.6) for those not reached. The total capacity rate cost for calls was $1.09/minute, or $4.69 per patient reached and $2.83 per patient not reached. A retrospective analysis of 6,698 patients reached and 6,519 patients not reached showed hospital return rates of 3.5% and 6.3% (p < .0001), respectively. The study findings show that postdischarge calls were associated with decreased return rates to the emergency department and a savings of $134.89 per prevention of one return. In deciding whether to use postdischarge call programs, healthcare systems should also consider the effects on specific demographics and the potential benefits of greater patient satisfaction and increased treatment adherence.