Practice as you Teach: Comparing Ordering Practices Between Shared and Physician-Only Visits in Academically Affiliated Community Emergency Departments.

BACKGROUND: Considerable variability exists in emergency physicians' (EPs) rates of resource utilization, which may cluster in distinct patterns. However, previous studies have focused on academic and tertiary care centers, and it is unclear whether similar patterns exist in community practice. OBJECTIVE: Our aim was to examine whether EPs practicing in community emergency departments (EDs) have practice patterns similar to those of academic EDs. Secondarily, we sought to investigate the effects of shared visits with advanced practice professionals and residents. METHODS: This was a retrospective study of two community EDs affiliated with an academic network. There were 62,860 visits among 50 EPs analyzed from October 1, 2018 through January 31, 2020 for rates of advanced imaging, admission, and shared visits. To classify practice patterns, we used a Gaussian Mixture Model (GMM), with groups and covariance determined by Bayesian Information Criteria. RESULTS: Our GMM revealed three groups. The largest had homogeneous patterns of resource use (n = 28; 50% were female; years of experience: 7; interquartile range [IQR] 2-11; advanced imaging: 28%; admission: 19%; shared: 34%), a small group with lower resource use (n = 4; 0% were female; years of experience: 6; IQR 4-10; advanced imaging: 28%; admission: 16%; shared: 8%), and a modest high-resource group (n = 18; 28% female; years of experience: 5; IQR 2-16; advanced imaging: 34%; admission: 23%; shared: 43%). Rates of shared visits had little direct correlation with imaging (r2 = 0.045) or admission (r2 = 0.093), and rates of imaging and admission were weakly correlated (r2 = 0.242). CONCLUSIONS: Our data suggest that community EPs may have multiple patterns of resource use, similar to those in academic EDs.

The association between day of arrival, time of arrival, daily volume and the rate of patients that "left without being seen".

INTRODUCTION: Patients' left without being seen (LWBS) rate is used as an emergency department (ED) quality indicator. Prior research has investigated characteristics of these patients, but there are minimal studies assessing the impact of departmental variables. We evaluate the LWBS rate at a granular level, looking at its relationship to day of week, hour of arrival and total patient volume. METHODS: Retrospective cohort analysis of 109,983 cases from a single academic center. We captured patient disposition, day of week and hour of day of arrival, and total daily volume. Chi-squared test was performed to determine the difference in LWBS rates based on arrival variables. We ran a polynomial regression for LWBS rates by decile of daily patient volume. RESULTS: The overall LWBS rate was 1.82% over 2 years. This varied significantly by day of week and hour of day (p < 0.001). Day of week rates ranged from 0.73% on Sunday to 2.45% on Wednesday. Hour of day rates ranged from 0.26% between 8 AM-9 AM, to 3.71% between 10 PM-11 PM. As total daily patient volume increased, LWBS rates gradually increased until the 70th percentile, followed by significant exponential growth afterwards. DISCUSSION: LWBS rates are not static measurements, and vary greatly depending on ED circumstances. Weekdays and evenings have significantly higher rates. Additionally, LWBS rates climb above 2% as daily registrations reach the 70th percentile, increasing exponentially at each subsequent decile. Understanding these effects will allow for more effective, targeted interventions to minimize this rate and improve throughput.

Not All Testers are Admitters: An Analysis of Emergency Physician Resource Utilization and Consultation Rates.

BACKGROUND: Variability exists in emergency physician (EP) resource utilization as measured by ordering practices, rate of consultation, and propensity to admit patients. OBJECTIVE: To validate and expand upon previous data showing that resource utilization as measured by EP ordering patterns is positively correlated with admission rates. METHODS: This is a retrospective study of routinely gathered operational data from the ED of an urban academic tertiary care hospital. We collected individual EP data on advanced imaging, consultation, and admission rates per patient encounter. To investigate whether there might be distinct groups of practice patterns relating these 3 resources, we used a Gaussian mixture model, a classification method used to determine the likelihood of distinct subgroups within a larger population. RESULTS: Our Gaussian mixture model revealed 3 distinct groups of EPs based on their ordering practices. The largest group is characterized by a homogenous pattern of neither high or low resource utilization (n = 37, 27% female, median years' experience: 6 [interquartile ratio {IQR} 3-18]; rates of advanced imaging, 38.9%; consultation, 45.1%; and admission 39.3%), with a modest group of low-resource users (n = 15, 60% female, median years' experience: 6 [IQR 5-14]; rates of advanced imaging, 37%; consultation, 42.6%; and admission 37.3%), and far fewer members of a high-resource use group (n = 6, 0% female, median years' experience: 6 [IQR 4-16]; rates of advanced imaging, 42.2%; consultation, 45.8%; and admission 40.6%). This variation suggests that not "all testers are admitters," but that there exist wider practice variations among EPs. CONCLUSIONS: At our academic tertiary center, 3 distinct subgroups of EP ordering practices exist based on consultation rates, advanced imaging use, and propensity to admit a patient. These data validate previous work showing that resource utilization and admission rates are related, while demonstrating that more nuanced patterns of EP ordering practices exist. Further investigation is needed to understand the impact of EP characteristics and behavior on throughput and quality of care. © 2022 Elsevier Inc.

Estimating maximum patient throughput at an ED scanner: Is three patients per hour the magic number?

.

Analysis of time-to-disposition intervals during early and late parts of an emergency department shift.

INTRODUCTION: Time-to-disposition is an important metric for emergency department throughput. We hypothesized that providers view the shift end as a key timepoint and attempt to leave as few dispositions as possible to the oncoming team, thereby making quicker decisions later in the shift. This study evaluates disposition distribution relative to when patients are assigned a provider during the course of a shift. METHODS: 50,802 cases were analyzed over the one-year study interval. 31,869 patients were seen in the early half of a shift (hours 1-4) and 18,933 were seen in the later half (hours 5+). We ran a linear mixed model that adjusted for age, gender, emergency severity index score, time of day, weekend arrivals, quarter of arrival and shift type. RESULTS: Median time-to-disposition for the early group was 3.25 h (IQR 1.90-5.04), and 2.62 h (IQR 1.51-4.31) for the late group. From our mixed model, we conclude that in the later parts of the shift, providers take on average 15.1% less time to make a disposition decision than in the earlier parts of the shift. CONCLUSION: Patients seen during the latter half of a shift were more likely to have a shorter time-to-disposition than similar patients seen in the first half of a shift. This may be influenced by many factors, such as providers spending the early hours of a shift seeing new patients which generate new tasks and delay dispositions, and viewing the end of shift as a landmark with a goal to maximize dispositions prior to sign-out.

Understanding Demand and Capacity Mismatch in an Academic Emergency Department Using a Staircase Model of Provider Capacity and Staggered Shift Start Times.

BACKGROUND: Staffing and provider capacity are essential components of emergency department (ED) throughput. Patient flow is dependent on matching patient arrivals with provider capacity. Current models assume a static rate of patients per hour for providers; however, this metric has been shown to decrease throughout a shift in a pattern we describe as a staircase. OBJECTIVE: We sought to analyze the demand capacity mismatch based on both a static and staircase model of resident productivity. We then suggest a new staggered staffing model that would improve flow in the ED. METHODS: This was a retrospective analysis of patient demand and productivity, analyzing both static and staircase models of provider capacity. An alternative staggered shift model was then suggested, and a 2-sample t test was performed to assess if a new model reduces the amount of demand/capacity mismatch. RESULTS: Seventeen thousand five hundred twenty data points were analyzed over the 2-year interval, comparing the difference between actual patients placed into a treatment space at each hour and projected resident capacity based on the staircase model, using both the existing schedule and a new staggered schedule. Mean absolute values for the disparity in coverage was 2.69 (95% confidence interval 2.65-2.72) for the staircase scheduling model, and 2.14 (95% confidence interval 2.12-2.17) when staggering provider start times. The mean difference between these data sets was 0.54 (95% confidence interval 0.52-0.57; p < 0.0001). CONCLUSIONS: Academic EDs may find value in using a staircase model to analyze provider capacity because it is more reflective of actual capacity. EDs may benefit from visualizing their capacity curves to identify mismatches and staggering resident shifts to improve throughput and flow.

Point of Care Image Capture with a Custom Smartphone Application: Experience with an Encounter-Based Workflow.

Medical documentation is one of the primary methods by which physicians share clinical information and impressions over time with one another. As the adage says, "a picture is worth a thousand words," and physicians have started leveraging consumer mobile technology to share images with one another. However, image sharing often uses short message service texting and similar methods, which can be noncompliant with privacy regulations and can also limit the ability to communicate information longitudinally and across specialties. Sharing of such information is increasingly important, however, as smaller practices are joining to create large geographically spread out health care networks. To this end, we developed an application to acquire and store images via smartphone and seamlessly transfer into the patient's electronic medical record (EMR) to enable digital consults and longitudinal evaluation in a private and compliant method.

The Effect of Signed-Out Emergency Department Patients on Resident Productivity.

BACKGROUND: Transitions of care and patient hand-offs between physicians have important implications for patient care. However, what effect caring for signed-out patients has on providing care to new patients and education is unclear. OBJECTIVE: We sought to determine whether the number of patients a physician receives in sign-out affects productivity. METHODS: This was a retrospective cohort study, conducted at an emergency medicine residency program. A general estimation equation was constructed to model productivity, defined as new patients evaluated and relative value units (RVUs) generated per shift, relative to the number of sign-outs received, and training year. A secondary analysis evaluated the effect of signed-out patients in observation. RESULTS: We evaluated 19,389 shifts from July 1, 2010 to July 1, 2017. Postgraduate year (PGY)-1 residents without sign-out evaluated 10.3 patients (95% confidence interval [CI] 9.83 to 10.7), generating 31.6 RVUs (95% CI 30.5 to 32.7). Each signed-out patient was associated with -0.07 new patients (95% CI -0.12 to -0.01), but no statistically significant decrease in RVUs (95% CI -0.07 to 0.28). PGY-2 residents without sign-out evaluated 13.6 patients (95% CI 12.6 to 14.6), generating 47.7 RVUs (95% CI 45.1 to 50.3). Each signed-out patient was associated with -0.25 (95% CI -0.40 to -0.10) new patients, and -0.89 (95% CI -1.22 to -0.55) RVUs. For all residents, observation patients were associated with more substantial decreases in new patients (-0.40; 95% CI -0.47 to -0.33) and RVUs (-1.11; 95% CI -1.40 to -0.82). CONCLUSIONS: Overall, sign-out burden is associated with a small decrease in resident productivity, except for observation patients. Program faculty should critically examine how signed-out patients are distributed to address residents' educational needs, throughput, and patient safety.

Modeling Hourly Resident Productivity in the Emergency Department.

STUDY OBJECTIVE: Resident productivity, defined as new patients per hour, carries important implications for emergency department operations. In high-volume academic centers, essential staffing decisions can be made on the assumption that residents see patients at a static rate. However, it is unclear whether this model mirrors reality; previous studies have not rigorously examined whether productivity changes over time. We examine residents' productivity across shifts to determine whether it remained consistent. METHODS: This was a retrospective cohort study conducted in an urban academic hospital with a 3-year emergency medicine training program in which residents acquire patients ad libitum throughout their shift. Time stamps of all patient encounters were automatically logged. A linear mixed model was constructed to predict productivity per shift hour. RESULTS: A total of 14,364 8- and 9-hour shifts were worked by 75 residents between July 1, 2010, and June 20, 2015. This comprised 6,127 (42.7%) postgraduate year (PGY) 1 shifts, 7,236 (50.4%) PGY-2 shifts, and 998 (6.9%) PGY-3 nonsupervisory shifts (Table 1). Overall, residents treated a mean of 10.1 patients per shift (SD 3.2), with most patients at Emergency Severity Index level 3 or more acute (93.8%). In the initial hour, residents treated a mean of 2.14 patients (SD 1.2), and every subsequent hour was associated with a significant decrease, with the largest in the second, third, and final hours. CONCLUSION: Emergency medicine resident productivity during a single shift follows a reliable pattern that decreases significantly hourly, a pattern preserved across PGY years and types of shifts. This suggests that resident productivity is a dynamic process, which should be considered in staffing decisions and studied further.

A Model for Electronic Handoff Between the Emergency Department and Inpatient Units.

BACKGROUND: Patient handoffs between units can introduce risk and time delays. Verbal communication is the most common mode of handoff, but requires coordination between different parties. OBJECTIVE: We present an asynchronous patient handoff process supported by a structured electronic signout for admissions from the emergency department (ED) to the inpatient medicine service. METHODS: A retrospective review of patients admitted to the medical service from July 1, 2011 to June 30, 2015 at a tertiary referral center with 520 inpatient beds and 57,000 ED visits annually. We developed a model for structured electronic, asynchronous signout that includes an option to request verbal communication after review of the electronic handoff information. RESULTS: During the 2010 academic year (AY) all admissions used verbal communication for signout. The following academic year, electronic signout was implemented and 77.5% of admissions were accepted with electronic signout. The rate increased to 87.3% by AY 2014. The rate of transfer from floor to an intensive care unit within 24 h for the year before and 4 years after implementation of the electronic signout system was collected and calculated with 95% confidence interval. There was no statistically significant difference between the year prior and the years after the implementation. CONCLUSIONS: Our handoff model sought to maximize the opportunity for asynchronous signout while still providing the opportunity for verbal signout when deemed necessary. The process was rapidly adopted with the majority of patients being accepted electronically.

The Integration of Electronic Medical Student Evaluations Into an Emergency Department Tracking System is Associated With Increased Quality and Quantity of Evaluations.

BACKGROUND: Medical student evaluations are essential for determining clerkship grades. Electronic evaluations have various advantages compared to paper evaluations, such as increased ease of collection, asynchronous reporting, and decreased likelihood of becoming lost. OBJECTIVES: To determine whether electronic medical student evaluations (EMSEs) provide more evaluations and content when compared to paper shift card evaluations. METHODS: This before and after cohort study was conducted over a 2.5-year period at an academic hospital affiliated with a medical school and emergency medicine residency program. EMSEs replaced the paper shift evaluations that had previously been used halfway through the study period. A random sample of the free text comments on both paper and EMSEs were blindly judged by medical student clerkship directors for their helpfulness and usefulness. Logistic regression was used to test for any relationship between quality and quantity of words. RESULTS: A total of 135 paper evaluations for 30 students and then 570 EMSEs for 62 students were collected. An average of 4.8 (standard deviation [SD] 3.2) evaluations were completed per student using the paper version compared to 9.0 (SD 3.8) evaluations completed per student electronically (p < 0.001). There was an average of 8.8 (SD 8.5) words of free text evaluation on paper evaluations when compared to 22.5 (SD 28.4) words for EMSEs (p < 0.001). A statistically significant (p < 0.02) association between quality of an evaluation and the word count existed. CONCLUSIONS: EMSEs that were integrated into the emergency department tracking system significantly increased the number of evaluations completed compared to paper evaluations. In addition, the EMSEs captured more "helpful/useful" information about the individual students as evidenced by the longer free text entries per evaluation.

Thrombin and topical local anesthetic for postoperative pain management.

PURPOSE: Local anesthetic is often used for perioperative pain control. Thrombin serves as a carrying medium for sustained release of antibiotics, chemotherapy, and growth factors. We tested the hypothesis that local anesthetic pain relief can be prolonged with the adjunct use of thrombin. METHODS: A prospective single-blinded clinical study was performed. Patients undergoing elective hand surgery inclusive of carpal tunnel release, excision of ganglion cyst, trigger finger release, and excision of mucous cyst under local block were enlisted. Before closure, patients received 1 of the following combinations: (1) control with oral analgesics, (2) 5 mL of 2% xylocaine, (3) 5 mL of 0.5% bupivacaine, (4) 2.5 mL of 2% xylocaine with 2.5 mL of 0.5% bupivacaine (XB), (5) thrombin with 5 mL of 2% xylocaine (XT), (6) thrombin with 5 mL of 0.5% bupivacaine (BT), and (7) thrombin with 2.5 mL of 2% xylocaine and 2.5 mL of 0.5% bupivacaine (XBT). There were 7 patients in each group, and patient demographics were similar between groups. Outcome measures included postanesthesia care unit (PACU) time, pain level, and number of pain pills required. RESULTS: Compared with oral analgesics alone, mean (SD) postoperative pain levels were reduced by 33.3% (8.9%) by xylocaine, 69.1% (8.7%) by bupivacaine, and 45.7% (9.4%) by XB. When thrombin was added, pain levels were further reduced by 69.9% by XT (P < 0.001), 23.1% by BT (P = 0.071), and 50.5% by XBT (P < 0.001) compared with their nonthrombin counterparts. In addition, PACU time was decreased by 34.8% by XT (P = 0.003) and 19.7% by XBT (P = 0.013) compared with xylocaine and XB, respectively. However, there was no difference in total pain pills needed between xylocaine, bupivacaine, and XB when administered with and without thrombin. CONCLUSIONS: The addition of topical thrombin to local anesthetic at the end of elective hand surgery provides for sustained postoperative pain control. Patients in this study who received thrombin and local anesthetic before wound closure had lower pain levels and were discharged from the PACU sooner than those who received local anesthetic alone. LEVEL OF EVIDENCE: Therapeutic level 2.

Are echocardiography, telemetry, ambulatory electrocardiography monitoring, and cardiac enzymes in emergency department patients presenting with syncope useful tests? A preliminary investigation.

BACKGROUND: Prior studies of admitted geriatric syncope patients suggest that diagnostic tests affect management < 5% of the time; whether this is true among all emergency department (ED) patients with syncope remains unclear. OBJECTIVES: To determine the diagnostic yield of routine testing in the hospital or after ED discharge among patients presenting to an ED with syncope. METHODS: A prospective, observational, cohort study of consecutive ED patients aged ≥ 18 years presenting with syncope was conducted. The four most commonly utilized tests (echocardiography, telemetry, ambulatory electrocardiography monitoring, and troponin) were studied. Interobserver agreement as to whether test results determined the etiology of the syncope was measured using kappa (κ) values. RESULTS: Of 570 patients with syncope, 73 patients (8%; 95% confidence interval 7-10%) had studies that were diagnostic. One hundred fifty (26%) had echocardiography, with 33 (22%) demonstrating a likely etiology of the syncopal event, such as critical valvular disease or significantly depressed left ventricular function (κ = 0.75). On hospitalization, 330 (58%) patients were placed on telemetry, and 19 (3%) had worrisome dysrhythmias (κ = 0.66). There were 317 (55%) patients who had troponin levels drawn, of whom 19 (3%) had positive results (κ = 1); 56 (10%) patients were discharged with monitoring, with significant findings in only 2 (0.4%) patients (κ = 0.65). CONCLUSION: Although routine testing is prevalent in ED patients with syncope, the diagnostic yield is relatively low. Nevertheless, some testing, particularly echocardiography, may yield critical findings. Current efforts to reduce the cost of medical care by eliminating nondiagnostic medical testing and increasing emphasis on practicing evidence-based medicine argue for more discriminate testing when evaluating syncope.

Emergency physician resource utilization varies by years of experience.

Objectives: One of the most pivotal decisions an emergency physician (EP) makes is whether to admit or discharge a patient. The emergency department (ED) work-up leading to this decision involves several resource-intensive tests. Previous studies have demonstrated significant differences in EP resource utilization, measured by lab tests, advanced imaging (magnetic resonance imaging [MRI], computed tomography [CT], ultrasound), consultations, and propensity to admit a patient. However, how an EP's years of experience may impact their resource utilization and propensity to admit patients has not been well characterized. This study seeks to better understand how EPs' years of experience, post-residency, relates to their use of advanced imaging and patient disposition. Methods: Ten years of ED visits were analyzed for this study from a single, academic tertiary care center in the urban Northeast United States. The primary outcomes were utilization of advanced imaging during the visit (CT, MRI, or formal ultrasound) and whether the patient was admitted. EP years of experience was categorized into 0-2 years, 3-5 years, 6-8 years, 9-11 years, and 12 or more years. Patient age, sex, Emergency Severity Index (ESI), and the attending EP's years of experience were collected. The relationship between EP years of experience and each outcome was assessed with a linear mixed model with a random effect for provider and patient age, sex, and ESI as covariates. Results: A total of 460,937 visits seen by 65 EPs were included in the study. Over one-third (37.6%) of visits had an advanced imaging study ordered and nearly half (49.5%) resulted in admission. Compared to visits with EPs with 0-2 years of experience, visits with EPs with 3-5 or 6-8 years of experience had significantly lower odds of advanced imaging occurring. Visits seen by EPs with more than 2 years of experience had lower odds of admission than visits by EPs with 0-2 years of experience. Conclusion: More junior EPs tend to order more advanced imaging studies and have a higher propensity to admit patients. This may be due to less comfort in decision-making without advanced imaging or a lower risk tolerance. Conversely, the additional clinical experience of the most senior EPs, with greater than 9 years of experience, likely impacts their resource utilization patterns such that their use of advanced imaging does not significantly differ from the most junior EPs.

Root Cause Analysis of Delayed Emergency Department Computed Tomography Scans.

Introduction: A solution for emergency department (ED) congestion remains elusive. As reliance on imaging grows, computed tomography (CT) turnaround time has been identified as a major bottleneck. In this study we sought to identify factors associated with significantly delayed CT in the ED. Methods: We performed a retrospective analysis of all CT imaging completed at an urban, tertiary care ED from May 1-July 31, 2021. During that period, 5,685 CTs were performed on 4,344 patients, with a median time from CT order to completion of 108 minutes (Quartile 1 [Q1]: 57 minutes, Quartile 3 [Q3]: 182 minutes, interquartile range [IQR]: 125 minutes). Outliers were defined as studies that took longer than 369 minutes to complete (Q3 + 1.5 × IQR). We systematically reviewed outlier charts to determine factors associated with delay and identified five factors: behaviorally non-compliant or medically unstable patients; intravenous (IV) line issues; contrast allergies; glomerular filtration rate (GFR) concerns; and delays related to imaging protocol (eg, need for IV contrast, request for oral and/or rectal contrast). We calculated confidence intervals (CI) using the modified Wald method. Inter-rater reliability was assessed with a kappa analysis. Results: We identified a total of 182 outliers (4.2% of total patients). Fifteen (8.2%) cases were excluded for CT time-stamp inconsistencies. Of the 167 outliers analyzed, 38 delays (22.8%, 95% confidence interval [CI] 17.0-29.7) were due to behaviorally non-compliant or medically unstable patients; 30 (18.0%, 95% CI 12.8-24.5) were due to IV issues; 24 (14.4%, 95% CI 9.8-20.6) were due to contrast allergies; 21 (12.6%, 95% CI 8.3-18.5) were due to GFR concerns; and 20 (12.0%, 95% CI 7.8-17.9) were related to imaging study protocols. The cause of the delay was unknown in 55 cases (32.9%, 95% CI 26.3-40.4). Conclusion: Our review identified both modifiable and non-modifiable factors associated with significantly delayed CT in the ED. Patient factors such as behavior, allergies, and medical acuity cannot be controlled. However, institutional policies regarding difficult IV access, contrast administration in low GFR settings, and study protocols may be modified, capturing up to 42.6% of outliers.

Comparison of nurse and resident physician paging frequency by sex in the emergency department.

Objectives: The role of biological sex in interprofessional relationships is an important factor in collaborative health care settings such as the emergency department (ED) but one that has been sparsely studied. While there is anecdotal evidence on gender-based differences in communication, little research has focused on this topic. The goal of this study was to determine whether there are differences in paging frequency between nurses and male and female residents. Methods: We conducted a retrospective review of patient visits to our urban, tertiary care academic ED between January 1 and April 1, 2021. Only pages from nurses to emergency medicine (EM) residents were included. Outcome variables included number of pages received by sex, number of unique ED visits, and mean number of pages per unique visit. Pearson's chi-square tests were used to analyze differences between observed and expected results. Results: A total of 15,617 pages from nurses to residents over 6843 unique patient visits to the ED were analyzed. This included 187 nurses, 162 (87%) of whom were female and 25 (13%) were male. Of the 39 residents, 12 (31%) were female and 27 (69%) were male. Female residents received 4500 pages over 2228 unique patient ED visits, or a mean of two pages per patient with a mean of 186 unique ED visits per female resident. Male residents received 11,117 pages over 4615 unique patient ED visits, or a mean of 2.4 pages per patient, with a mean of 171 unique ED visits per male resident. This difference in pages per patient was statistically significant (χ2(1) = 369, p < 0.001). Conclusions: We found that male residents received significantly more pages per patient than their female colleagues. Overall, further research is required to understand the factors, such as characteristics of patients or preferred communication methods of providers, that drive this disparity and what the implications are for patient outcomes.