Adoption of High-sensitivity Troponin Testing and Emergency Physician Ordering Behavior.

INTRODUCTION: Emergency departments (ED) are rapidly replacing conventional troponin assays with high-sensitivity troponin tests. We sought to evaluate emergency physician utilization of troponin tests before and after high-sensitivity troponin introduction in our ED. METHODS: We retrospectively examined 9,477 ED encounters, identifying the percentage in which physicians ordered a serum troponin both before and after our institution adopted a high-sensitivity troponin test. RESULTS: After introduction of high-sensitivity troponin testing, the percentage of ED encounters in which physicians ordered troponin studies decreased (28.3% before vs 22% after; P <.001), with the drop most pronounced in admitted patients (decrease of 10.9% [95% confidence interval [CI]: 7.3%-14.5%] in admitted patients vs decrease of 3.6% [95% CI: 1.7%-5.4%] in discharged patients; P<.001) CONCLUSION: Introduction of high-sensitivity troponin testing was associated with a decrease in troponin ordering. While the reasons for this are unclear, it is possible that physicians became more selective in their ordering behavior because of the lower specificity of high-sensitivity troponin.

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.

Physician Workflow in Two Distinctive Emergency Departments: An Observational Study.

OBJECTIVES: We characterize physician workflow in two distinctive emergency departments (ED). Physician practices mediated by electronic health records (EHR) are explored within the context of organizational complexity for the delivery of care. METHODS: Two urban clinical sites, including an academic teaching ED, were selected. Fourteen physicians were recruited. Overall, 62 hours of direct clinical observations were conducted characterizing clinical activities (EHR use, team communication, and patient care). Data were analyzed using qualitative open-coding techniques and descriptive statistics. Timeline belts were used to represent temporal events. RESULTS: At site 1, physicians, engaged in more team communication, followed by direct patient care. Although physicians spent 61% of their clinical time at workstations, only 25% was spent on the EHR, primarily for clinical documentation and review. Site 2 physicians engaged primarily in direct patient care spending 52% of their time at a workstation, and 31% dedicated to EHRs, focused on chart review. At site 1, physicians showed nonlinear complex workflow patterns with a greater frequency of multitasking and interruptions, resulting in workflow fragmentation. In comparison, at site 2, a less complex environment with a unique patient assignment system, resulting in a more linear workflow pattern. CONCLUSION: The nature of the clinical practice and EHR-mediated workflow reflects the ED work practices. Physicians in more complex organizations may be less efficient because of the fragmented workflow. However, these effects can be mitigated by effort distribution through team communication, which affords inherent safety checks.

Are Smaller Emergency Departments More Prone to Volume Variability?

INTRODUCTION: Daily patient volume in emergency departments (ED) varies considerably between days and sites. Although studies have attempted to define "high-volume" days, no standard definition exists. Furthermore, it is not clear whether the frequency of high-volume days, by any definition, is related to the size of an ED. We aimed to determine the correlation between ED size and the frequency of high-volume days for various volume thresholds, and to develop a measure to identify high-volume days. METHODS: We queried retrospective patient arrival data including 1,682,374 patient visits from 32 EDs in 12 states between July 1, 2018-June 30, 2019 and developed linear regression models to determine the correlation between ED size and volume variability. In addition, we performed a regression analysis and applied the Pearson correlation test to investigate the significance of median daily volumes with respect to the percent of days that crossed four volume thresholds ranging from 5-20% (in 5% increments) greater than each site's median daily volume. RESULTS: We found a strong negative correlation between ED median daily volume and volume variability (R2 = 81.0%; P < 0.0001). In addition, the four regression models for the percent of days exceeding specified thresholds greater than their daily median volumes had R2 values of 49.4%, 61.2%, 70.0%, and 71.8%, respectively, all with P < 0.0001. CONCLUSION: We sought to determine whether smaller EDs experience high-volume days more frequently than larger EDs. We found that high-volume days, when defined as days with a count of arrivals at or above certain median-based thresholds, are significantly more likely to occur in lower-volume EDs than in higher-volume EDs. To the extent that EDs allocate resources and plan to staff based on median volumes, these results suggest that smaller EDs are more likely to experience unpredictable, volume-based staffing challenges and operational costs. Given the lack of a standard measure to define a high-volume day in an ED, we recommend 10% above the median daily volume as a metric, for its relevance, generalizability across a broad range of EDs, and computational simplicity.

Patient Assignment Models in the Emergency Department.

Early assignment of patients to specific treatment teams improves length of stay, rate of patients leaving without being seen, patient satisfaction, and resident education. Multiple variations of patient assignment systems exist, including provider-in-triage/team triage, fast-tracks/vertical pathways, and rotational patient assignment. The authors discuss the theory behind patient assignment systems and review potential benefits of specific models of patient assignment found in the current literature.

Increased Inpatient Length of Stay After Early Unplanned Transfer to Higher Levels of Care.

Patients admitted to a medical-surgical unit infrequently require early transfer to higher level care, although how their inpatient length of stay compares to untransferred patients, or those directly admitted to intermediate care, is unknown. We sought to compare the inpatient length of stay of these groups. DESIGN: Single-site retrospective analysis. SETTING: An academic hospital specializing in complex care. PATIENTS: We evaluated 23,694 patients admitted to the Hospital Internal Medicine service over a 4-year period (January 1, 2013, to December 31, 2016). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Using 6- and 24-hour definitions of early transfer, we categorized patients as admitted to medical-surgical unit without early transfer (medical-surgical unit), transferred (TX) early to higher level care, or initially admitted to an intermediate care unit. We report patient characteristics and inpatient length of stay adjusted for patient demographics (age and sex) and initial acuity (measured by Emergency Severity Index). There were significant increases in both unadjusted inpatient length of stay (6 hr: medical-surgical unit = 73.4 hr, TX = 137.9 hr, intermediate care unit = 101.1 hr; 24 hr: medical-surgical unit = 72.4 hr, TX = 141.9 hr, intermediate care unit = 98.2 hr; p < 0.01 for all groups) and adjusted inpatient length of stay (6-hr definition: medical-surgical unit = 50.9 hr [95% CI, 50.3-51.6 hr], TX = 100.4 hr [90.4-112.0 hr], intermediate care unit = 72.3 hr [70.6-74.0 hr]; 24-hr definition: medical-surgical unit = 50.3 hr [49.7-50.9 hr], TX = 108.3 hr [101.5-116.0 hr], intermediate care unit = 70.7 hr [69.0-72.3 hr]; p < 0.0001 for comparison of TX to medical-surgical unit and intermediate care unit in both groups). The increases in inpatient length of stay for the TX groups were not explained by differences in demographics or acuity. CONCLUSIONS: In a single facility study, patients admitted to a medical/surgical unit who require early transfer to intermediate care unit have a significant and unexplained increase in inpatient length of stay. This unexplained increased inpatient length of stay suggests that triage to the appropriate inpatient unit significantly affects inpatient length of stay.

"Rainbow Draws" in the Emergency Department: Clinical Utility and Staff Perceptions.

BACKGROUND: Collecting a predefined set of blood tubes (the "rainbow draw") is a common but controversial practice in many emergency departments (EDs), with limited data to support it. We determined the actual utilization of rainbow draw tubes at a single facility and evaluated the perceptions of ED staff regarding the utility of rainbow draws. METHODS: We analyzed 2 weeks of ED visits (1326 visits by 1240 unique patients) to determine blood tube utilization for initial and add-on testing, as well as the incidence of additional venipunctures. We also surveyed ED staff regarding aspects of ED phlebotomy and test ordering. Utilization data analysis was structured to satisfy specific concerns addressed in the ED staff survey. RESULTS: Observed tube utilization data showed that fluoride/oxalate, citrate, and serum separator tubes were frequently discarded unused, and that the actual utility of the rainbow draw for add-on testing and avoiding additional venipunctures was low. ED staff perceived that the rainbow draw was highly valuable, both to expedite add-on testing and to avoid additional venipunctures. Contrasting the objective (utilization data) and subjective (survey results) to drive changes in the standard ED blood collection reduced the estimated waste blood by 175 L/year. CONCLUSIONS: Comparison of perceptions and objective utilization data drove process changes that were mutually agreeable to ED and laboratory staff. Although specifics of ED and laboratory work flows vary between institutions, the principles and strategy of this study are widely applicable.

Association of Vital Signs and Process Outcomes in Emergency Department Patients.

INTRODUCTION: We sought to determine the association of abnormal vital signs with emergency department (ED) process outcomes in both discharged and admitted patients. METHODS: We performed a retrospective review of five years of operational data at a single site. We identified all visits for patients 18 and older who were discharged home without ancillary services, and separately identified all visits for patients admitted to a floor (ward) bed. We assessed two process outcomes for discharged visits (returns to the ED within 72 hours and returns to the ED within 72 hours resulting in admission) and two process outcomes for admitted patients (transfer to a higher level of care [intermediate care or intensive care] within either six hours or 24 hours of arrival to floor). Last-recorded ED vital signs were obtained for all patients. We report rates of abnormal vital signs in each group, as well as the relative risk of meeting a process outcome for each individual vital sign abnormality. RESULTS: Patients with tachycardia, tachypnea, or fever more commonly experienced all measured process outcomes compared to patients without these abnormal vitals; admitted hypotensive patients more frequently required transfer to a higher level of care within 24 hours. CONCLUSION: In a single facility, patients with abnormal last-recorded ED vital signs experienced more undesirable process outcomes than patients with normal vitals. Vital sign abnormalities may serve as a useful signal in outcome forecasting.

Serum Lactate and Mortality in Emergency Department Patients with Cancer.

INTRODUCTION: Patients with malignancy represent a particular challenge for the emergency department (ED) given their higher acuity, longer ED length of stay, and higher admission rate. It is unknown if patients with malignancies and hyperlactatemia are at increased risk of mortality. If serum lactic acid could improve detection of at-risk patients with cancer, it would be useful in risk stratification. There is also little evidence that "alarm" values of serum lactate (such as >/=4 mmol/L) are appropriate for the population of patients with cancer. METHODS: This was a continuous retrospective cohort study of approximately two years (2012-2014) at a single, tertiary hospital ED; 5,440 patients had serum lactic acid measurements performed in the ED. Of the 5,440 patients in whom lactate was drawn, 1,837 were cancer patients, and 3,603 were non-cancer patients. Cumulative unadjusted mortality (determined by hospital records and an external death tracking system) was recorded at one day, three days, seven days, and 30 days. We used logistic regression to examine the risk of mortality 30 days after the ED visit after adjusting for confounders. RESULTS: In an unadjusted analysis, we found no statistically significant difference in the mortality of cancer vs. non-cancer patients at one day and three days. Significant differences in mortality were found at seven days (at lactate levels of <2 and 4+) and at 30 days (at all lactate levels) based on cancer status. After adjusting for age, gender, and acuity level, 30-day mortality rates were significantly higher at all levels of lactic acid (<2, 2-4, 4+) for patients with malignancy. CONCLUSION: When compared with non-cancer patients, cancer patients with elevated ED lactic acid levels had an increased risk of mortality at virtually all levels and time intervals we measured, although these differences only reached statistical significance in later time intervals (Day 7 and Day 30). Our results suggest that previous work in which lactate "cutoffs" are used to risk-stratify patients with respect to outcomes may be insufficiently sensitive for patients with cancer. Relatively low serum lactate levels may serve as a marker for serious illness in oncologic patients who present to the ED.

Emergency Physicians' Perceived Influence of EHR Use on Clinical Workflow and Performance Metrics.

OBJECTIVE: Over the last decade, electronic health records (EHRs) have shaped clinical practice. In this article, we investigated the perceived effects of EHR use on clinical workflow and meaningful use (MU) performance metrics. MATERIALS AND METHODS: Semistructured interviews were conducted with 20 (n = 20) physicians at two urban emergency departments. Interview questions focused on time spent on EHR use, changes in clinical practices with EHR use, and the effect of MU performance metrics on clinical workflow. Qualitative coding using grounded theory and descriptive analyses were performed to provide descriptive insights. RESULTS: Physicians reported that EHRs improved their clinical workflow, especially on MU-related activities including door-to-doctor time and admit decision time. EHR use also affected physicians work efficiency, quality of care provided, and overall patient safety. CONCLUSION: Physicians' perception of EHRs is likely to influence their practices. With negative perceptions of EHR usability problems, positive aspects of EHR use, including the influence on MU performance metrics, may be overridden.

Are testers also admitters? Comparing emergency physician resource utilization and admitting practices.

OBJECTIVE: To describe the relationship between emergency department resource utilization and admission rate at the level of the individual physician. METHODS: Retrospective observational study of physician resource utilization and admitting data at two emergency departments. We calculated observed to expected (O/E) ratios for four measures of resource utilization (intravenous medications and fluids, laboratory testing, plain radiographs, and advanced imaging studies) as well as for admission rate. Expected values reflect adjustment for patient- and time-based variables. We compared O/E ratios for each type of resource utilization to the O/E ratio for admission for each provider. We report degree of correlation (slope of the trendline) and strength of correlation (adjusted R2 value) for each association, as well as categorical results after clustering physicians based on the relationship of resource utilization to admission rate. RESULTS: There were statistically significant positive correlations between resource utilization and physician admission rate. Physicians with lower resource utilization rates were more likely to have lower admission rates, and those with higher resource utilization rates were more likely to have higher admission rates. CONCLUSIONS: In a two-facility study, emergency physician resource utilization and admission rate were positively correlated: those who used more ED resources also tended to admit more patients. These results add to a growing understanding of emergency physician variability.

Modelling attending physician productivity in the emergency department: a multicentre study.

OBJECTIVES: Emergency physician productivity, often defined as new patients evaluated per hour, is essential to planning clinical operations. Prior research in this area considered this a static quantity; however, our group's study of resident physicians demonstrated significant decreases in hourly productivity throughout shifts. We now examine attending physicians' productivity to determine if it is also dynamic. METHODS: This is a retrospective cohort study, conducted from 2014 to 2016 across three community hospitals in the north-eastern USA, with different schedules and coverage. Timestamps of all patient encounters were automatically logged by the sites' electronic health record. Generalised estimating equations were constructed to predict productivity in terms of new patients per shift hour. RESULTS: 207 169 patients were seen by 64 physicians over 2 years, comprising 9822 physician shifts. Physicians saw an average of 15.0 (SD 4.7), 20.9 (SD 6.4) and 13.2 (SD 3.8) patients per shift at the three sites, with 2.97 (SD 0.22), 2.95 (SD 0.24) and 2.17 (SD 0.09) in the first hour. Across all sites, physicians saw significantly fewer new patients after the first hour, with more gradual decreases subsequently. Additional patient arrivals were associated with greater productivity; however, this attenuates substantially late in the shift. The presence of other physicians was also associated with slightly decreased productivity. CONCLUSIONS: Physician productivity over a single shift follows a predictable pattern that decreases significantly on an hourly basis, even if there are new patients to be seen. Estimating productivity as a simple average substantially underestimates physicians' capacity early in a shift and overestimates it later. This pattern of productivity should be factored into hospitals' staffing plans, with shifts aligned to start with the greatest volumes of patient arrivals.

Interphysician Differences in Emergency Department Length of Stay.

BACKGROUND: Emergency physicians differ in many ways with respect to practice. One area in which interphysician practice differences are not well characterized is emergency department (ED) length of stay (LOS). OBJECTIVE: To describe how ED LOS differs among physicians. METHODS: We performed a 3-year, five-ED retrospective study of non-fast-track visits evaluated primarily by physicians. We report each provider's observed LOS, as well as each provider's ratio of observed LOS/expected LOS (LOSO/E); we determined expected LOS based on site average adjusted for the patient characteristics of age, gender, acuity, and disposition status, as well as the time characteristics of shift, day of week, season, and calendar year. RESULTS: Three hundred twenty-seven thousand, seven hundred fifty-three visits seen by 92 physicians were eligible for analysis. For the five sites, the average shortest observed LOS was 151 min (range 106-184 min), and the average longest observed LOS was 232 min (range 196-270 min); the average difference was 81 min (range 69-90 min). For LOSO/E, the average lowest LOSO/E was 0.801 (range 0.702-0.887), and the average highest LOSO/E was 1.210 (range 1.186-1.275); the average difference between the lowest LOSO/E and the highest LOSO/E was 0.409 (range 0.305-0.493). CONCLUSION: There are significant differences in ED LOS at the level of the individual physician, even after accounting for multiple confounders. We found that the LOSO/E for physicians with the lowest LOSO/E at each site averaged approximately 20% less than predicted, and that the LOSO/E for physicians with the highest LOSO/E at each site averaged approximately 20% more than predicted.

The durability of operational improvements with rotational patient assignment.

INTRODUCTION: Previous work has suggested that Emergency Department rotational patient assignment (a system in which patients are algorithmically assigned to physicians) is associated with immediate (first-year) improvements in operational metrics. We sought to determine if these improvements persisted over a longer follow-up period. METHODS: Single-site, retrospective analysis focused on years 2-4 post-implementation (follow-up) of a rotational patient assignment system. We compared operational data for these years with previously published data from the last year of physician self-assignment and the first year of rotational patient assignment. We report data for patient characteristics, departmental characteristics and facility characteristics, as well as outcomes of length of stay (LOS), arrival to provider time (APT), and rate of patients who left before being seen (LBBS). RESULTS: There were 140,673 patient visits during the five year period; 138,501 (98.7%) were eligible for analysis. LOS, APT, and LBBS during follow-up remained improved vs. physician self-assignment, with improvements similar to those noted in the first year of implementation. Compared with the last year of physician self-assignment, approximate yearly average improvements during follow-up were a decrease in median LOS of 18min (8% improvement), a decrease in median APT of 21min (54% improvement), and a decrease in LBBS of 0.69% (72% improvement). CONCLUSION: In a single facility study, rotational patient assignment was associated with sustained operational improvements several years after implementation. These findings provide further evidence that rotational patient assignment is a viable strategy in front-end process redesign.

Resource Utilization in Emergency Department Patients with Known or Suspected Poisoning.

INTRODUCTION: Previous work has shown poisoning-related emergency department (ED) visits are increasing, and these visits are resource-intensive. Little is known, however, about how resource utilization for patients with known or suspected poisoning differs from that of general ED patients. METHODS: We reviewed 4 years of operational data at a single ED. We identified visits due to known or suspected poisoning (index cases), and paired them with time-matched controls. In the primary analysis, we compared the groups with respect to a broad array of resource utilization characteristics. In a secondary analysis, we performed the same comparison after excluding patients ultimately transferred to a psychiatric facility. RESULTS: There were 405 index cases and 802 controls in the primary analysis, and 374 index cases and 741 controls in the secondary analysis. In the primary/secondary analyses, patients with known or suspected poisoning had longer ED lengths of stay in minutes (370 vs. 232/295 vs. 234), higher rates of laboratory results per patient (40.4 vs. 26.8/39.6 vs. 26.8), greater administration of intravenous medications and fluids per patient (2.0 vs. 1.6/2.1 vs. 1.6), higher rates of transfer to a psychiatric facility (7.7 vs. 0.2%/not applicable), and higher rates of both admission (40.2 vs. 32.8/43.6 vs. 33.1%) and admission to an advanced care bed (21.5 vs. 7.6/23.3 vs. 7.8%). Patients with known or suspected poisoning had lower rates of imaging per patient, for both plain radiographs (0.4 vs. 0.5/0.4 vs. 0.5) and advanced imaging studies (0.3 vs. 0.5/0.4 vs. 0.5). CONCLUSIONS: ED patients with known or suspected poisoning are more resource intensive than general ED patients. These results may have implications for both resource allocation (particularly for departments that might see a high volume of such patients) and ED operations management.

Emergency Department Holding Orders.

BACKGROUND: Holding orders help transition admitted emergency department (ED) patients to hospital beds. OBJECTIVE: To describe the effect of ED holding orders. METHODS: We conducted a single-site retrospective study of ward admissions from the ED to the hospital internal medicine (HIM) service over 2 years. Patients were classified based on whether the ED did (group 1) or did not (group 2) write holding orders; group 1 was subdivided into patients sent to the floor with only ED holding orders (group 1A) vs. with subsequent HIM admission orders (group 1B). Outcomes were ED length of stay (LOS), time from decision to admit to ED departure (D→D), transfer to a higher level of care within 6 h (potential undertriage), and discharge from admission ward within 12 h (potential overtriage). RESULTS: There were 9501 admissions: 6642 in group 1 (2369 in group 1A and 4273 in group 1B) and 2859 in group 2. Reductions in mean LOS between groups (with 95% confidence intervals [CIs] of the differences) were as follows: group 1 vs. 2: 44 min (39-49 min); group 1A vs. 1B, 48 min (43-53 min); group 1B vs. 2: 27 min (22-32 min); group 1A vs. 2: 75 min (69-81 min). Mean D→D was shorter in group 1A than 1B by 43 min (40-45 min). Holding orders were not associated with increases in potential undertriage or overtriage. CONCLUSIONS: ED holding orders were associated with improved ED throughput, without evidence of undertriage or overtriage. This work supports the use of holding orders as a safe and effective means to improve ED patient flow.

Initial Diagnosis and Management of Coma.

Coma represents a true medical emergency. Drug intoxications are a leading cause of coma; however, other metabolic disturbances and traumatic brain injury are also common causes. The general emergency department approach begins with stabilization of airway, breathing, and circulation, followed by a thorough physical examination to generate a limited differential diagnosis that is then refined by focused testing. Definitive treatment is ultimately disease-specific. This article presents an overview of the pathophysiology, causes, examination, and treatment of coma.

Physician in Triage Versus Rotational Patient Assignment.

BACKGROUND: Physician in triage and rotational patient assignment are different front-end processes that are designed to improve patient flow, but there are little or no data comparing them. OBJECTIVE: To compare physician in triage with rotational patient assignment with respect to multiple emergency department (ED) operational metrics. METHODS: Design-Retrospective cohort review. Patients-Patients seen on 23 days on which we utilized a physician in triage with those patients seen on 23 matched days when we utilized rotational patient assignment. RESULTS: There were 1,869 visits during physician in triage and 1,906 visits during rotational patient assignment. In a simple comparison, rotational patient assignment was associated with a lower median length of stay (LOS) than physician in triage (219 min vs. 233 min; difference of 14 min; 95% confidence interval [CI] 5-27 min). In a multivariate linear regression incorporating multiple confounders, there was a nonsignificant reduction in the geometric mean LOS in rotational patient assignment vs. physician in triage (204 min vs. 217 min; reduction of 6.25%; 95% CI -3.6% to 15.2%). There were no significant differences between groups for left before being seen, left subsequent to being seen, early (within 72 h) returns, early returns with admission, or complaint ratio. CONCLUSIONS: In a single-site study, there were no statistically significant differences in important ED operational metrics between a physician in triage model and a rotational patient assignment model after adjusting for confounders.

Risk of Venous Thromboembolism After Receiving Prothrombin Complex Concentrate for Warfarin-associated Intracranial Hemorrhage.

BACKGROUND: Prothrombin complex concentrates (PCCs) are commonly used to rapidly reverse warfarin-associated coagulopathy; however, venous thromboembolism (VTE) is an established adverse event. OBJECTIVE: To determine risk factors for VTE AFTER administration of a three-factor prothrombin complex concentrate (3F-PCC) for warfarin-associated intracranial hemorrhage (ICH). METHODS: Retrospective chart review of all patients with a warfarin-associated ICH who received a 3F-PCC at a single tertiary care hospital between 2008 and 2013. Outcomes were VTE events (defined as deep vein thrombosis [DVT], pulmonary embolism [PE], limb ischemia, transient ischemic attack, cerebrovascular accident, non-ST-segment elevation myocardial infarction, ST-segment elevation myocardial infarction, and unexplained sudden death) occurring within 30 days of 3F-PCC administration. Risk factors in subjects with and without VTE complications were compared via Fisher's exact test, Student's t-test, Mann-Whitney U test, and univariate logistic regression as appropriate. RESULTS: Two hundred nine subjects received 3F-PCC for warfarin-associated ICH. There were 22 VTE events in 19 subjects (9.1%). Baseline characteristics of subjects with and without VTE were similar. There was a significant increase in VTE events in 29 subjects who were taking warfarin for a previous PE or DVT (36.8% vs. 11.6%, p = 0.007; logistic regression odds ratio 4.455, p = 0.005). CONCLUSIONS: Patients with a prior history of PE or DVT who were given 3F-PCC for warfarin-associated ICH were 4.5 times more likely to sustain a VTE within 30 days. A careful analysis of risks and benefits of rapidly reversing anticoagulation must be made prior to the administration of 3F-PCC in this patient population.

Emergency Department Rotational Patient Assignment.

STUDY OBJECTIVE: We compare emergency department (ED) operational metrics obtained in the first year of a rotational patient assignment system (in which patients are assigned to physicians automatically according to an algorithm) with those obtained in the last year of a traditional physician self-assignment system (in which physicians assigned themselves to patients at physician discretion). METHODS: This was a pre-post retrospective study of patients at a single ED with no financial incentives for physician productivity. Metrics of interest were length of stay; arrival-to-provider time; rates of left before being seen, left subsequent to being seen, early returns (within 72 hours), and early returns with admission; and complaint ratio. RESULTS: We analyzed 23,514 visits in the last year of physician self-assignment and 24,112 visits in the first year of rotational patient assignment. Rotational patient assignment was associated with the following improvements (percentage change): median length of stay 232 to 207 minutes (11%), median arrival to provider time 39 to 22 minutes (44%), left before being seen 0.73% to 0.36% (51%), and complaint ratio 9.0/1,000 to 5.4/1,000 (40%). There were no changes in left subsequent to being seen, early returns, or early returns with admission. CONCLUSION: In a single facility, the transition from physician self-assignment to rotational patient assignment was associated with improvement in a broad array of ED operational metrics. Rotational patient assignment may be a useful strategy in ED front-end process redesign.