Search

Objectives: Prolonged emergency department (ED) length of stay (LOS) is linked to adverse outcomes, decreased patient satisfaction, and ED crowding. This multicenter study identified factors associated with increased LOS.Methods: This retrospective study included 9 EDs from across the United States. Emergency department daily operational metrics were collected from calendar year 2009. A multivariable linear population average model was used with log-transformed LOS as the dependent variable to identify which ED operational variables are predictors of LOS for ED discharged, admitted, and overall ED patient categories.Results: Annual ED census ranged from 43,000 to 101,000 patients. The number of ED treatment beds ranged from 27 to 95. Median overall LOS for all sites was 5.4 hours. Daily percentage of admitted patients was found to be a significant predictor of discharged and admitted patient LOS. Higher daily percentage of discharged and eloped patients, more hours on ambulance diversion, and weekday (vs weekend) of patient presentation were significantly associated with prolonged LOS for discharged and admitted patients (P < .05). For each percentage of increase in discharged patients, there was a 1% associated decrease in overall LOS, whereas each percentage of increase in eloped patients was associated with a 1.2% increase in LOS.Conclusions: Length of stay was increased on days with higher percentage daily admissions, higher elopements, higher periods of ambulance diversion, and during weekdays, whereas LOS was decreased on days with higher numbers of discharges and weekends. This is the first study to demonstrate this association across a broad group of hospitals. [ABSTRACT FROM AUTHOR]

OBJECTIVE: : Attending physicians are only required to provide in-hospital coverage during daytime hours in many pediatric intensive care units. An in-hospital 24-hr pediatric intensive care unit attending coverage model has been increasingly popular, but the impact of 24-hr, in-hospital attending coverage on care processes and outcomes has not been reported. We compared processes of care and outcomes before and after the implementation of a 24-hr in-hospital pediatric intensive care unit attending physician model. DESIGN: : Retrospective comparison of before and after cohorts. SETTING: : A single large, academic tertiary medical/surgical pediatric intensive care unit. PATIENTS: : Pediatric intensive care unit admissions in 2000-2006. INTERVENTION: : Transition to 24-hr from 12-hr in-hospital pediatric critical care attending physician coverage model in January 2004. MEASUREMENTS AND MAIN RESULTS: : A total of 18,702 patients were admitted to intensive care unit: 8,520 in 24 hrs; 10,182 in 12 hrs. Duration of mechanical ventilation was lower (median 33 hrs [interquartile range 12-88] vs. 48 hrs [interquartile range 16-133], adjusted reduction of 35% [95% confidence interval 25%-44%], p < .001) and intensive care unit length of stay was shorter (median 2 days [interquartile range 1-4] vs. 2 days [interquartile range 1-5], adjusted p < .001) for 24 hr vs. 12 hr coverage. The reduction in mechanical ventilation hours was similar when noninvasive, mechanical ventilation was included in ventilation hours (median 42 hrs vs. 56 hrs, adjusted reduction in ventilation hours: 33% [95% confidence interval 20-45], p < .001). Intensive care unit mortality was not significantly different (2.2% vs. 2.5%, adjusted p =.23). These associations were consistent across daytime and nighttime admissions, weekend and weekday admissions, and among subgroups with higher Pediatric Risk of Mortality III scores, postsurgical patients, and histories of previous intensive care unit admission. CONCLUSIONS: : Implementation of 24-hr in-hospital pediatric critical care attending coverage was associated with shorter duration of mechanical ventilation and shorter length of intensive care unit stay. After accounting for potential confounders, this finding was consistent across a broad spectrum of critically ill children. [ABSTRACT FROM AUTHOR]

STUDY OBJECTIVE: Some have suggested that emergency department (ED) boarding is prevalent because it maximizes revenue as hospitals prioritize non-ED admissions, which reimburse higher than ED admissions. We explore the revenue implications to the overall hospital of reducing boarding in the ED. METHODS: We quantified the revenue effect of reducing boarding-the balance of higher ED demand and the reduction of non-ED admissions-using financial modeling informed by regression analysis and discrete-event simulation with data from 1 inner-city teaching hospital during 2 years (118,000 ED visits, 22% ED admission rate, 7% left without being seen rate, 36,000 non-ED admissions). Various inpatient bed management policies for reducing non-ED admissions were tested. RESULTS: Non-ED admissions generated more revenue than ED admissions ($4,118 versus $2,268 per inpatient day). A 1-hour reduction in ED boarding time would result in $9,693 to $13,298 of additional daily revenue from capturing left without being seen and diverted ambulance patients. To accommodate this demand, we found that simulated management policies in which non-ED admissions are reduced without consideration to hospital capacity (ie, static policies) mostly did not result in higher revenue. Many dynamic policies requiring cancellation of various proportions of non-ED admissions when the hospital reaches specific trigger points increased revenue. The optimal strategies tested resulted in an estimated $2.7 million and $3.6 in net revenue per year, depending on whether left without being seen patients were assumed to be outpatients or mirrored ambulatory admission rates, respectively. CONCLUSION: Dynamic inpatient bed management in inner-city teaching hospitals in which non-ED admissions are occasionally reduced to ensure that EDs have reduced boarding times is a financially attractive strategy. [ABSTRACT FROM AUTHOR]

STUDY OBJECTIVE: To conduct a systematic review on the effectiveness of emergency department (ED)-based care coordination interventions. METHODS: We reviewed any randomized controlled trial or quasi-experimental study indexed in MEDLINE, CINAHL, Web of Science, Cochrane, or Scopus that evaluated the effectiveness of ED-based care coordination interventions. To be included, interventions had to incorporate information from previous visits, provide educational services on continuing care, provide post-ED treatment plans, or transfer information to continuing care providers. Studies had to quantify information transfer or report ED revisits, hospitalizations, or follow-up rates. Randomized controlled trial quality was assessed with the Jadad score. RESULTS: Of 23 included articles, 14 were randomized controlled trials and 9 were quasi-experimental studies. Randomized controlled trial quality ranged from 2 to 3 on a 5-point scale. The majority of the studies (17) were conducted at a single center. Of nineteen studies that developed post-ED plans, 12 were effective in improving follow-up rates or reducing repeated ED visits. Four studies found paradoxically higher ED visit rates. Of 4 that used educational services for continuing care, 2 were effective. Of the 2 evaluating information transfer, 1 was effective. One study assessed incorporating information from other sites and found higher rates of information transfer, but utilization was not studied. CONCLUSION: The majority of ED-based care coordination interventions focus on interfacing with outpatient providers, and about two thirds have been effective in increasing follow-up rates or reducing repeated ED utilization. Other types of interventions have shown similar effectiveness, but fewer have been studied. [ABSTRACT FROM AUTHOR]

STUDY OBJECTIVE: We examine practical aspects of collecting time-based emergency department (ED) performance measures. METHODS: Seven measures were implemented in 6 hospitals during 1 year. Structured interviews were used to assess the benefits and burdens of reporting. In 2 hospitals, Centers for Medicare & Medicaid Services (CMS) sample size requirements for 3 measures were compared to a reasonable sample size estimate (in which 95% of samples fell within 15 minutes of the population median). RESULTS: ED performance data on 29,587 admitted patients and 127,467 discharged patients were reported. Median throughput time for admitted patients ranged from 327 to 663 minutes and for discharged patients ranged from 143 to 311 minutes. Other performance measures varied similarly (2- to 3-fold between hospitals). In general, ED throughput was longer at academic sites and those with higher volume. Several benefits of reporting were identified, including promoting ED quality improvement, accountability, and practice standardization. The burdens included having to access multiple information technology systems and difficulties setting up the data collection. Most respondents found great value in the throughput measures and time to pain medication but less value in time to chest radiograph. The human capital required to implement measures varied by hospital and staff demonstrated a learning curve. Our empirically derived minimum reliable sample sizes were different from CMS recommendations. CONCLUSION: There is great variation in performance between EDs in time-based ED measures. There are multiple reporting benefits. Reporting burdens seemed to lessen after data systems were established. The CMS sample size requirements for throughput measures may not be optimal compared with actual ED throughput data. [ABSTRACT FROM AUTHOR]

Study Objective: We use national emergency department (ED) data to identify the proportion of "telehealth-able" ED visits, defined as potentially conductible by Video Only or Video Plus (with limited outpatient testing)., Methods: We used ED visits by patients 4 years of age and older from the 2019 National Hospital Ambulatory Medical Care Survey and applied survey weighting for national representativeness. Two raters categorized patient-described Reasons for Visit (RFV) as telehealth-able (yes, no, uncertain) for both Video Only and Video Plus visits. This categorization was stratified by age (4 to 17 years old, 18 to 35, 36 to 64, and 65 and older). Visit characteristics that were used to remove further nontelehealth-able visits included admission, procedures, diagnostic testing, acuity level, and pain score., Results: Our sample included 133.6 million United States ED visits in 2019 for patients aged 4 years or older. Of those, between 3.4% and 8.8% of visits were telehealth-able by Video Only and between 5.0% and 9.7% by Video Plus, considering only the first RFV. Visits by younger patients were more often telehealth-able, with the proportion of telehealth-able visits decreasing with advancing age. Considering all RFVs, between 0% to 6.6% of ED visits were telehealth-able with Video Only and 0.02% to 7.6% with Video Plus., Conclusion: Between 3% and 10% of United States ED visits may be potentially telehealth-able for patients aged 4 years and older, considering the first listed RFV and ED visit characteristics. Fewer visits may be telehealth-able when all reasons for visits are considered., (Copyright © 2024 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Importance: Most emergency departments (EDs) across the US use the Emergency Severity Index (ESI) to predict acuity and resource needs. A comprehensive assessment of ESI accuracy among pediatric patients is lacking., Objective: To assess the frequency of mistriage using ESI (version 4) among pediatric ED visits using automated measures of mistriage and identify characteristics associated with mistriage., Design, Setting, and Participants: This cohort study used operational measures for each ESI level to classify encounters as undertriaged, overtriaged, or correctly triaged to assess the accuracy of the ESI and identify characteristics of mistriage. Participants were pediatric patients at 21 EDs within Kaiser Permanente Northern California from January 1, 2016, to December 31, 2020. During that time, version 4 of the ESI was in use by these EDs. Visits with missing ESI, incomplete ED time variables, patients transferred from another ED, and those who left against medical advice or without being seen were excluded. Data were analyzed between January 2022 and June 2023., Exposures: Assigned ESI level., Main Outcomes and Measures: Rates of undertriage and overtriage by assigned ESI level based on mistriage algorithm, patient and visit characteristics associated with undertriage and overtriage., Results: This study included 1 016 816 pediatric ED visits; the mean (SD) age of patients was 7.3 (5.6) years, 479 610 (47.2%) were female, and 537 206 (52.8%) were male. Correct triage occurred in 346 918 visits (34.1%; 95% CI, 34.0%-34.2%), while overtriage and undertriage occurred in 594 485 visits (58.5%; 95% CI, 58.4%-58.6%) and 75 413 visits (7.4%; 95% CI, 7.4%-7.5%), respectively. In adjusted analyses, undertriage was more common among children at least 6 years old compared with those younger 6 years; male patients compared with female patients; patients with Asian, Black, or Hispanic or other races or ethnicities compared with White patients; patients with comorbid illnesses compared with those without; and patients who arrived by ambulance compared with nonambulance patients., Conclusions and Relevance: This multicenter retrospective study found that mistriage with ESI version 4 was common in pediatric ED visits. There is an opportunity to improve pediatric ED triage, both in early identification of critically ill patients (limit undertriage) and in more accurate identification of low-acuity patients with low resource needs (limit overtriage). Future research should include assessments based on version 5 of the ESI, which was released after this study was completed.

Study Objective: We assess the stability of a measure of emergency department (ED) admission intensity for value-based care programs designed to reduce variation in ED admission rates. Measure stability is important to accurately assess admission rates across sites and among physicians., Methods: We sampled data from 358 EDs in 41 states (January 2018 to December 2021), separate from sites where the measure was derived. The measure is the ED admission rate per 100 ED visits for 16 clinical conditions and 535 included International Classification of Disease 10 diagnosis codes. We used descriptive plots and multilevel linear probability models to assess stability over time across EDs and among physicians., Results: Across included 3,571 ED-quarters, the average admission rate was 27.6% (95% confidence interval [CI] 26.0% to 28.2%). The between-facility standard deviation was 9.7% (95% CI 9.0% to 10.6%), and the within-facility standard deviation was 3.0% (95% CI 2.95% to 3.10%), with an intraclass correlation coefficient of 0.91. At the physician-quarter level, the average admission rate was 28.3% (95% CI 28.0% to 28.5%) among 7,002 physicians. Relative to their site's mean in each quarter, the between-physician standard deviation was 6.7% (95% CI 6.6% to 6.8%), and the within-physician standard deviation was 5.5% (95% CI 5.5% to 5.6%), with an intraclass correlation coefficient of 0.59. Moreover, 2.9% of physicians were high-admitting in 80%+ of their practice quarters relative to their peers in the same ED and in the same quarter, whereas 3.9% were low-admitting., Conclusion: The measure exhibits stability in characterizing ED-level admission rates and reliably identifies high- and low-admitting physicians., (Copyright © 2024 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

The fee-for-service funding model for US emergency department (ED) clinician groups is increasingly fragile. Traditional fee-for-service payment systems offer no financial incentives to improve quality, address population health, or make value-based clinical decisions. Fee-for-service also does not support maintaining ED capacity to handle peak demand periods. In fee-for-service, clinicians rely heavily on cross-subsidization, where high reimbursement from commercial payors offsets low reimbursement from government payors and the uninsured. Although fee-for-service survived decades of steady cuts in government reimbursement rates, it is increasingly strained because of visit volatility and the effects of the No Surprises Act, which is driving down commercial reimbursement. Financial pressures on ED clinician groups and higher hospital boarding and clinical workloads are increasing workforce attrition. Here, we propose an alternative model to address some of these fundamental issues: an all-payer-funded, voluntary global budget for ED clinician services. If designed and implemented effectively, the model could support robust clinician staffing over the long term, ensure stability in clinical workload, and potentially improve equity in payments. The model could also be combined with population health programs (eg, pre-ED and post-ED telehealth, frequent ED use programs, and other innovations), offering significant payer returns and addressing quality and value. A linked program could also change hospital incentives that contribute to boarding. Strategies exist to test and refine ED clinician global budgets through existing government programs in Maryland and potentially through state-level legislation as a precursor to broader adoption., (Copyright © 2024 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Competing Interests: Competing interests: None declared.

Artificial intelligence (AI) in healthcare is the ability of a computer to perform tasks typically associated with clinical care (e.g. medical decision-making and documentation). AI will soon be integrated into an increasing number of healthcare applications, including elements of emergency department (ED) care. Here, we describe the basics of AI, various categories of its functions (including machine learning and natural language processing) and review emerging and potential future use-cases for emergency care. For example, AI-assisted symptom checkers could help direct patients to the appropriate setting, models could assist in assigning triage levels, and ambient AI systems could document clinical encounters. AI could also help provide focused summaries of charts, summarize encounters for hand-offs, and create discharge instructions with an appropriate language and reading level. Additional use cases include medical decision making for decision rules, real-time models that predict clinical deterioration or sepsis, and efficient extraction of unstructured data for coding, billing, research, and quality initiatives. We discuss the potential transformative benefits of AI, as well as the concerns regarding its use (e.g. privacy, data accuracy, and the potential for changing the doctor-patient relationship)., Competing Interests: Declaration of competing interest Dr. Pines has had funding from CSL Behring, Abbott Point-of-Care, and Astra Zeneca for unrelated work in the previous 36 months. No other authors have interests to declare. Generative AI was not used to create any part of this manuscript., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background Rates of COVID-19 hospitalization are an important measure of the health system burden of severe COVID-19 disease and have been closely followed throughout the pandemic. The highly transmittable, but often less severe, Omicron COVID-19 variant has led to an increase in hospitalizations with incidental COVID-19 diagnoses where COVID-19 is not the primary reason for admission. There is a strong public health need for a measure that is implementable at low cost with standard electronic health record (EHR) datasets that can separate these incidental hospitalizations from non-incidental hospitalizations where COVID-19 is the primary cause or an important contributor. Two crude metrics are in common use. The first uses in-hospital administration of dexamethasone as a marker of non-incidental COVID-19 hospitalizations. The second, used by the United States (US) CDC, relies on a limited set of COVID-19-related diagnoses (i.e., respiratory failure, pneumonia). Both measures likely undercount non-incidental COVID-19 hospitalizations. We therefore developed an improved EHR-based measure that is better able to capture the full range of COVID-19 hospitalizations. Methods We conducted a retrospective study of ED visit data from a national emergency medicine group from April 2020 to August 2023. We assessed the CDC approach, the dexamethasone-based measure, and alternative approaches that rely on co-diagnoses likely to be related to COVID-19, to determine the proportion of non-incidental COVID-19 hospitalizations. Results Of the 153,325 patients diagnosed with COVID-19 at 112 general EDs in 17 US states, and admitted or transferred, our preferred measure classified 108,243 (70.6%) as non-incidental, compared to 71,066 (46.3%) using the dexamethasone measure and 77,399 (50.5%) using the CDC measure. Conclusions Identifying non-incidental COVID-19 hospitalizations using ED administration of dexamethasone or the CDC measure provides substantially lower estimates than our preferred measure., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Nikolla et al.)

Emergency physicians are highly trained to deliver acute unscheduled care. The emergency physician core skillset gained during emergency medicine residency can be applied to many other roles that benefit patients and extend and diversify emergency physician careers. In 2022, the American College of Emergency Physicians (ACEP) convened the New Practice Models Task Force to describe new care models and emergency physician opportunities outside the 4 walls of the emergency department. The Task Force consisted of 21 emergency physicians with broad experience and 2 ACEP staff. Fifty-nine emergency physician roles were identified (21 established clinical roles, 16 emerging clinical roles, 9 established nonclinical roles, and 13 emerging nonclinical roles). A strength-weakness-opportunity-threat (SWOT) analysis was performed for each role. Using the analysis, the Task Force made recommendations for guiding ACEP internal actions, advocacy, education, and research opportunities. Emphasis was placed on urgent care, rural medicine, telehealth/virtual care, mobile integrated health care, home-based services, emergency psychiatry, pain medicine, addiction medicine, and palliative care as roles with high or rising demand that draw on the emergency physician skillset. Advocacy recommendations focused on removing state and federal regulatory and legislative barriers to the expansion of new and emerging roles. Educational recommendations focused on aggregating available resources, developing a centralized resource for career guidance, and new educational content for emerging roles. The Task Force also recommended promoting research on potential advantages (eg, improved outcomes, lower cost) of emergency physicians in certain roles and new care models (eg, emergency physician remote supervision in rural settings)., (Copyright © 2023 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Study Objective: We describe emergency department (ED) visit volume, illness severity, and crowding metrics from the onset of the coronavirus disease 2019 (COVID-19) pandemic through mid-2022., Methods: We tabulated monthly data from 14 million ED visits on ED volumes and measures of illness severity and crowding from March 2020 through August 2022 compared with the same months in 2019 in 111 EDs staffed by a national ED practice group in 18 states., Results: Average monthly ED volumes fell in the early pandemic, partially recovered in 2022, but remained below 2019 levels (915 per ED in 2019 to 826.6 in 2022 for admitted patients; 3,026.9 to 2,478.5 for discharged patients). The proportion of visits assessed as critical care increased from 7.9% in 2019 to 11.0% in 2022, whereas the number of visits decreased (318,802 to 264,350). Visits billed as 99285 (the highest-acuity Evaluation and Management code for noncritical care visits) increased from 35.4% of visits in 2019 to 40.0% in 2022, whereas the number of visits decreased (1,434,454 to 952,422). Median and median of 90th percentile length of stay for admitted patients rose 32% (5.2 to 6.9 hours) and 47% (11.7 to 17.4 hours) in 2022 versus 2019. Patients leaving without treatment rose 86% (2.9% to 5.4%). For admitted psychiatric patients, the 90th percentile length of stay increased from 20 hours to more than 1 day., Conclusion: ED visit volumes fell early in the pandemic and have only partly recovered. Despite lower volumes, ED crowding has increased. This issue is magnified in psychiatric patients., (Copyright © 2023 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Study Objective: We estimate the economics of US emergency department (ED) professional services, which is increasingly under strain given the longstanding effect of unreimbursed care, and falling Medicare and commercial payments., Methods: We used data from the Nationwide Emergency Department Sample (NEDS), Medicare, Medicaid, Health Care Cost Institute, and surveys to estimate national ED clinician revenue and costs from 2016 to 2019. We compare annual revenue and cost for each payor and calculate foregone revenue, the amount clinicians may have collected had uninsured patients had either Medicaid or commercial insurance., Results: In 576.5 million ED visits (2016 to 2019), 12% were uninsured, 24% were Medicare-insured, 32% Medicaid-insured, 28% were commercially insured, and 4% had another insurance source. Annual ED clinician revenue averaged $23.5 billion versus costs of $22.5 billion. In 2019, ED visits covered by commercial insurance generated $14.3 billion in revenues and cost $6.5 billion. Medicare visits generated $5.3 billion and cost $5.7 billion; Medicaid visits generated $3.3 billion and cost $7 billion. Uninsured ED visits generated $0.5 billion and cost $2.9 billion. The average annual foregone revenue for ED clinicians to treat the uninsured was $2.7 billion., Conclusion: Large cost-shifting from commercial insurance cross-subsidizes ED professional services for other patients. This includes the Medicaid-insured, Medicare-insured, and uninsured, all of whom incur ED professional service costs that substantially exceed their revenue. Foregone revenue for treating the uninsured relative to what may have been collected if patients had health insurance is substantial., (Copyright © 2023 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Background: Spinal epidural abscess (SEA) is a rare, catastrophic condition for which diagnostic delays are common. Our national group develops evidence-based guidelines, known as clinical management tools (CMT), to reduce high-risk misdiagnoses. We study whether implementation of our back pain CMT improved SEA diagnostic timeliness and testing rates in the emergency department (ED)., Methods: We conducted a retrospective observational study before and after implementation of a nontraumatic back pain CMT for SEA in a national group. Outcomes included diagnostic timeliness and test utilization. We used regression analysis to compare differences before (January 2016-June 2017) and after (January 2018-December 2019) with 95% confidence intervals (CIs) clustered by facility. We graphed monthly testing rates., Results: In 59 EDs, pre versus post periods included 141,273 (4.8%) versus 192,244 (4.5%) back pain visits and 188 versus 369 SEA visits, respectively. After implementation, SEA visits with prior related visits were unchanged (12.2% vs. 13.3%, difference +1.0%, 95% CI -4.5% to 6.5%). Mean number of days to diagnosis decreased but not significantly (15.2 days vs. 11.9 days, difference -3.3 days, 95% CI -7.1 to 0.6 days). Back pain visits receiving CT (13.7% vs. 21.1%, difference +7.3%, 95% CI 6.1% to 8.6%) and MRI (2.9% vs. 4.4%, difference +1.4%, 95% CI 1.0% to 1.9%) increased. Spine X-rays decreased (22.6% vs. 20.5%, difference 2.1%, 95% CI -4.3% to 0.1%). Back pain visits receiving erythrocyte sedimentation rate or C-reactive protein increased (1.9% vs. 3.5%, difference +1.6%, 95% CI 1.3% to 1.9%)., Conclusions: Back pain CMT implementation was associated with an increased rate of recommended imaging and laboratory testing in back pain. There was no associated reduction in the proportion of SEA cases with a related prior visit or time to SEA diagnosis., (© 2023 by the Society for Academic Emergency Medicine.)

Competing Interests: Competing interests: None declared.

Study Objective: We develop and assess variation in an emergency department (ED) admission intensity measure intended for value-based payment models. The measure includes ED diagnoses amenable to evidence-based protocols and where admission decisions vary based on physician discretion., Methods: Measure International Classification of Diseases (ICD)-10 codes were selected by face validity by 3 emergency physicians using expertise and administrative data. Feedback was sought from a separate technical panel. Using data from a national group (2018 to 2019), we assessed measure stability at the physician and facility level by quarter using descriptive plots, multilevel linear probability models, and intraclass correlation coefficients (ICC)., Results: A total of 535 ICD-10 measure codes were selected from 23,590 codes. Across 127 EDs, facility-quarter admission rates averaged 26.1% (95% confidence interval [CI] 24.5 to 27.7). Between- and within-facility standard deviations were 9.2 (95% CI 8.2 to 10.5) and 2.9 (95% CI 2.7 to 3.0), respectively, with an ICC of 0.91. Most ED-quarters (749/961) fell within 2.5% of their facility's average. Among 2,398 physicians, quarterly rates averaged 29.1% (95% CI 28.6 to 29.6). The between- and within-physician standard deviation was 6.3 (95% CI 6.1 to 6.5) and 5.3 (95% CI 5.3 to 5.4), respectively, with an ICC of 0.58; 220 physicians (9.2%) had an admission rate consistently higher than average and 193 (8.0%) consistently lower., Conclusion: This set of ICD-10 diagnoses demonstrates face validity and stability for quarterly admission rates at the facility and physician levels. The measure may be useful to monitor facility admission rates in value-based models and reliably identify high and low admitters within facilities to manage admission variation., (Copyright © 2022 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Objective: U.S. drug-related overdose deaths and Emergency Department (ED) visits rose in 2020 and again in 2021. Many academic studies and the news media attributed this rise primarily to increased drug use resulting from the societal disruptions related to the coronavirus (COVID-19) pandemic. A competing explanation is that higher overdose deaths and ED visits may have reflected a continuation of pre-pandemic trends in synthetic-opioid deaths, which began to rise in mid-2019. We assess the evidence on whether increases in overdose deaths and ED visits are likely to be related primarily to the COVID-19 pandemic, increased synthetic-opioid use, or some of both., Methods: We use national data from the Centers for Disease Control and Prevention (CDC) on rolling 12-month drug-related deaths (2015-2021); CDC data on monthly ED visits (2019-September 2020) for EDs in 42 states; and ED visit data for 181 EDs in 24 states staffed by a national ED physician staffing group (January 2016-June 2022). We study drug overdose deaths per 100,000 persons during the pandemic period, and ED visits for drug overdoses, in both cases compared to predicted levels based on pre-pandemic trends., Results: Mortality. National overdose mortality increased from 21/100,000 in 2019 to 26/100,000 in 2020 and 30/100,000 in 2021. The rise in mortality began in mid-to-late half of 2019, and the 2020 increase is well-predicted by models that extrapolate pre-pandemic trends for rolling 12-month mortality to the pandemic period. Placebo analyses (which assume the pandemic started earlier or later than March 2020) do not provide evidence for a change in trend in or soon after March 2020. State-level analyses of actual mortality, relative to mortality predicted based on pre-pandemic trends, show no consistent pattern. The state-level results support state heterogeneity in overdose mortality trends, and do not support the pandemic being a major driver of overdose mortality. ED visits. ED overdose visits rose during our sample period, reflecting a worsening opioid epidemic, but rose at similar rates during the pre-pandemic and pandemic periods., Conclusion: The reasons for rising overdose mortality in 2020 and 2021 cannot be definitely determined. We lack a control group and thus cannot assess causation. However, the observed increases can be largely explained by a continuation of pre-pandemic trends toward rising synthetic-opioid deaths, principally fentanyl, that began in mid-to-late 2019. We do not find evidence supporting the pandemic as a major driver of rising mortality. Policymakers need to directly address the synthetic opioid epidemic, and not expect a respite as the pandemic recedes., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Moghtaderi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Introduction: United States emergency medicine (EM) post-graduate training programs vary in training length, either 4 or 3 years. However, it is unknown if clinical care by graduates from the two curricula differs in the early post-residency period., Methods: We performed a retrospective observational study comparing measures of clinical care and practice patterns between new graduates from 4- and 3-year EM programs with experienced new physician hires as a reference group. We included emergency department (ED) encounters from a national EM group (2016-19) between newly hired physicians from 4- and 3- year programs and experienced new hires (>2 years' experience) during their first year of practice with the group. Primary outcomes were at the physician-shift level (patients per hour and relative value units [RVUs] per hour) and encounter-level (72-h return visits with admission/transfer and discharge length of stay [LOS]). Secondary outcomes included discharge opioid prescription rates, test ordering, computer tomography (CT) use, and admission/transfer rate. We compared outcomes using multivariable linear regression models that included patient, shift, and facility-day characteristics, and a facility fixed effect. We hypothesized that experienced new hires would be most efficient, followed by new 4-year graduates and then new 3-year graduates., Results: We included 1,084,085 ED encounters by 4-year graduates (n = 39), 3-year graduates (n = 70), and experienced new hires (n = 476). There were no differences in physician-level and encounter-level primary outcomes except discharge LOS was 10.60 min (2.551, 18.554) longer for 4-year graduates compared to experienced new hires. Secondary outcomes were similar among the three groups except 4- and 3-year new graduates were less likely to prescribe opioids to discharged patients, -3.70% (-5.768, -1.624) and - 3.38% (-5.136, -1.617) compared to experienced new hires., Conclusions: In this sample, measures of clinical care and practice patterns related to efficiency, safety, and flow were largely similar between the physician groups; however, experienced new hires were more likely to prescribe opioids than new graduates. These results do not support recommending a specific length of residency training in EM., Competing Interests: Declaration of Competing Interest JMP reports unrelated work with CSL Behring, Medtronic, and Abbott Point-of-Care., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: The delivery and financing of health care services were altered in unprecedented ways by COVID-19 and subsequent policy responses. We estimated reimbursement losses to emergency physicians in 2020 compared to 2019 related to shifting acute care utilization during COVID-19., Methods: This was an observational analysis of the Clinical Emergency Department Registry (CEDR) and the Nationwide Emergency Department Sample (NEDS). Study sample included all ED visits from a sample of 214 emergency department (ED) sites in the CEDR in 2019 and 2020 as well as all ED visits in the NEDS in 2019. We identified level of service billing code for evaluation and management (E&M) services, insurance payer, and geographic location of ED visits across sites in the CEDR and linked these to fee schedules to estimate total professional reimbursement across sites. Our primary analysis was to estimate reimbursement in 2020 compared to 2019 across the CEDR sites. In our secondary analysis, we linked sites in the CEDR to those in NEDS to estimate nationwide reimbursement., Results: Total E&M reimbursement for emergency physicians in the CEDR was $1.6 billion in 2019 and $1.3 billion in 2020, reflecting a 19.7% decline year over year ($308 million loss). In our secondary analysis, we estimate nationwide losses of $6.6 billion, a -19.4% decline year over year. If emergency physicians had received maximum allowable federal relief funds via CARES Act Phases 1 to 3 (2% of 2019 revenue) this would sum to $680 million (2% of the $34 billion) or 10.3% of the estimated $6.6 billion pandemic-related losses., Conclusions: Our analyses provide an estimate of the scale of economic impacts of the COVID-19 pandemic. These findings warrant consideration for policymaker relief and future redesign of emergency care financing. Ultimately, the COVID-19 pandemic likely expanded known cracks in the financing of health care into steep fault lines., (© 2023 The Authors. Academic Emergency Medicine published by Wiley Periodicals LLC on behalf of Society for Academic Emergency Medicine.)

Importance: Accurate emergency department (ED) triage is essential to prioritize the most critically ill patients and distribute resources appropriately. The most used triage system in the US is the Emergency Severity Index (ESI)., Objectives: To derive and validate an algorithm to assess the rate of mistriage and to identify characteristics associated with mistriage., Design, Setting, and Participants: This retrospective cohort study created operational definitions for each ESI level that use ED visit electronic health record data to classify encounters as undertriaged, overtriaged, or correctly triaged. These definitions were applied to a retrospective cohort to assess variation in triage accuracy by facility and patient characteristics in 21 EDs within the Kaiser Permanente Northern California (KPNC) health care system. All ED encounters by patients 18 years and older between January 1, 2016, and December 31, 2020, were assessed for eligibility. Encounters with missing ESI or incomplete ED time variables and patients who left against medical advice or without being seen were excluded. Data were analyzed between January 1, 2021, and November 30, 2022., Exposures: Assigned ESI level., Main Outcomes and Measures: Rate of undertriage and overtriage by assigned ESI level based on a mistriage algorithm and patient and visit characteristics associated with undertriage and overtriage., Results: A total of 5 315 176 ED encounters were included. The mean (SD) patient age was 52 (21) years; 44.3% of patients were men and 55.7% were women. In terms of race and ethnicity, 11.1% of participants were Asian, 15.1% were Black, 21.4% were Hispanic, 44.0% were non-Hispanic White, and 8.5% were of other (includes American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, and multiple races or ethnicities), unknown, or missing race or ethnicity. Mistriage occurred in 1 713 260 encounters (32.2%), of which 176 131 (3.3%) were undertriaged and 1 537 129 (28.9%) were overtriaged. The sensitivity of ESI to identify a patient with high-acuity illness (correctly assigning ESI I or II among patients who had a life-stabilizing intervention) was 65.9%. In adjusted analyses, Black patients had a 4.6% (95% CI, 4.3%-4.9%) greater relative risk of overtriage and an 18.5% (95% CI, 16.9%-20.0%) greater relative risk of undertriage compared with White patients, while Black male patients had a 9.9% (95% CI, 9.8%-10.0%) greater relative risk of overtriage and a 41.0% (95% CI, 40.0%-41.9%) greater relative risk of undertriage compared with White female patients. High relative risk of undertriage was found among patients taking high-risk medications (30.3% [95% CI, 28.3%-32.4%]) and those with a greater comorbidity burden (22.4% [95% CI, 20.1%-24.4%]) and recent intensive care unit utilization (36.7% [95% CI, 30.5%-41.4%])., Conclusions and Relevance: In this retrospective cohort study of over 5 million ED encounters, mistriage with ESI was common. Quality improvement should focus on limiting critical undertriage, optimizing resource allocation by patient need, and promoting equity.

Background: Diagnostic testing and treatment recommendations can vary when medical care is sought by individuals for low back pain (LBP), leading to variation in quality and costs of care. We examine how the first provider seen by an individual at initial diagnosis of LBP influences downstream utilization and costs., Methods: Using national private health insurance claims data, individuals age 18 or older were retrospectively assigned to cohorts based on the first provider seen at the index date of LBP diagnosis. Exclusion criteria included individuals with a diagnosis of LBP or any serious medical conditions or an opioid prescription recorded in the 6 months prior to the index date. Outcome measures included use of imaging, back surgery rates, hospitalization rates, emergency department visits, early- and long-term opioid use, and costs (out-of-pocket and total costs of care) twelve months post-index date. We used a two-stage residual inclusion (2SRI) estimation approach comparing copay for the initial provider visit and differential distance as the instrumental variable to reduce selection bias in the choice of first provider, controlling for demographics., Results: Among 3,799,593 individuals, cost and utilization varied considerably based on the first provider seen by the patient. Copay and differential distance provided similar results, with copay preserving a greater sample size. The frequency of early opioid prescription was significantly lower when care began with an acupuncturist or chiropractor, and highest for those who began with an emergency medicine physician or advanced practice registered nurse (APRN). Long-term opioid prescriptions were low across most providers except physical medicine and rehabilitation physicians and APRNs. The frequency and time to serious illness varied little across providers. Total cost of care was lowest when starting with a chiropractor ($5093) or primary care physician ($5660), and highest when starting with an orthopedist ($9434) or acupuncturist ($9205)., Conclusion: The first provider seen by individuals with LBP was associated with large differences in health care utilization, opioid prescriptions, and cost while there were no differences in delays in diagnosis of serious illness., (© 2022. The Author(s).)

Study Objective: Reducing excessive opioid prescribing in emergency departments (ED) may prevent opioid addiction. We evaluated the largest personalized feedback and peer comparison intervention to date on emergency clinician opioid prescription rates in a national emergency clinician group., Methods: This interrupted time series analysis of a quality improvement intervention included data from adults discharged from 102 EDs in 17 states from January 1, 2019, to July 31, 2021. From June 16, 2020, to November 30, 2020, site-level ED directors received emails on local opioid prescription rates. From December 1, 2020, to July 31, 2021, all clinicians were granted electronic dashboard access, which showed prescription rates compared with peers, and national ED leaders sent emails to high-prescribing clinicians and engaged in one-on-one conversations. The primary outcome was opioid prescriptions per 100 discharges., Results: The study included 5,328,288 ED discharges from 924 physicians and 472 advanced practice providers. Opioid prescription rates did not change meaningfully in the site-level director feedback period (mean difference = -0.3, 95% confidence interval [CI] -0.6 to -0.1). During the direct clinician feedback period, opioid prescription rates declined from 10.4 per 100 discharges to 8.4 per 100 discharges (mean difference = -2.0, 95% CI -2.4 to -1.5), a 19% relative reduction. Among prescribers in the highest initial quintile, opioid prescribing reduced by 35% among physicians and 41% among advanced practice providers in the direct feedback period., Conclusion: We demonstrated a large, sustained reduction in opioid prescribing by emergency clinicians using direct, personalized feedback to clinicians and an electronic dashboard for peer comparison., (Copyright © 2021 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.)

Background: Amidst the opioid epidemic, there has been an increasing focus on opioid utilization in U.S. emergency departments (EDs). Compared with other opioids, little is known about the use of tramadol over the past decade. Tramadol has uncertain efficacy and a concerning adverse effect profile compared with traditional opioids., Objective: Our aim was to describe trends in tramadol use in U.S. EDs between 2007 and 2018., Methods: We analyzed the National Hospital Ambulatory Medical Care Survey from 2007 to 2018 to examine ED visits by patients 18 years or older in which tramadol was administered or prescribed. We examined trends in demographics and resource utilization and compared these trends with those of traditional opioids. Survey-weighted analyses were conducted to provide national-level estimates., Results: Between 2007 and 2018, ED visits in which tramadol was used increased 70.6%, from 1.7% of all ED visits in 2007 to 2.9% in 2018. The largest increases were noted among patients aged 55 through 64 years and 65 years and older. Diagnostic resource utilization increased across the study period. Overall opioid utilization during the study period decreased from 28.4% in 2007 to 17.9% in 2018 (p < 0.001). The use of other specific opioids declined or remained stable between 2007 and 2018., Conclusions: Although the use of traditional opioids decreased from 2007 to 2018, the use of tramadol increased. Increases were largest among older patients, who may be more susceptible to the adverse effects associated with this medication. Further research in the appropriate use of tramadol in the ED setting is warranted., (Copyright © 2022. Published by Elsevier Inc.)

Objective: This study aims to describe United States military veteran participation in adaptive sports and to assess the demographic make-up and organizational characteristics of existing adaptive sports programs. Design: Prospective, cross-sectional survey. Setting: Community organizations with adaptive sports programs. Participants: 85 adaptive sports programs. Interventions: Nine question survey. Outcome Measures: Demographic data and sports offered by adaptive sports programs in the United States. Results: The survey response rate was 70%. The median number of total participants in an organization was 75 and the median number of veterans was 50. 76% of organizations had some degree of affiliation with a VAMC. Organizations affiliated with a VAMC are more likely to be rehabilitation centers, whereas community organizations with no VAMC affiliation are most commonly independent organizations with no rehabilitation component. Individuals of all ages participate in adaptive sports, with increasing participation associated with increasing age. Golf was the sport offered most commonly by adaptive sports programs in this survey. Low-contact sports were offered more often than high-contact sports, and the majority of programs offered adaptive sports year-round. Conclusions: Our results suggest that U.S. Military veterans represent a large proportion of the individuals participating in adaptive sports. Further research specifically focusing on factors veterans find desirable when considering participating in adaptive sports is indicated to identify programs that should be promoted, developed, and funded to increase veteran participation in adaptive sports.

Background: Compared with short-term electrocardiogram (ECG) monitors, insertable cardiac monitors (ICMs) have been shown to increase atrial fibrillation (AF) detection rates and the opportunity to treat recurrent AF in patients postablation., Objective: To examine healthcare utilization and clinical outcomes following AF ablation, in patients with vs without ICM., Methods: Retrospective analysis pooling Optum Clinformatics and Medicare Fee-for-service 5% Sample claims databases. Patients with an AF ablation between January 1, 2011, and March 31, 2018 who received an ICM implant within 1 year pre-/postablation were propensity score matched 1:3 to patients without ICM. Outcomes included AF-related healthcare utilization, medication use, and occurrence of composite severe cardiovascular events (stroke / transient ischemic attack, major bleeds, systemic embolism, AF- or heart failure-related hospitalization, or death)., Results: A total of 1000 ICM patients and 2998 non-ICM patients were included. During mean follow-up of 33 ± 16 months postablation, ICM patients experienced significantly fewer severe cardiovascular events (1.09 ± 2.22 vs 1.37 ± 4.19, P = .008) and associated costs ($20,757 vs $29,106, P = .0005). ICM patients had a greater number of AF-related clinic visits (16.8 vs 11.6 visits, P < .0001) and were more likely to receive a repeat ablation (38.7% vs 32.4%, P = .0003). Total all-cause costs during follow-up were not statistically different. Discontinuation of oral anticoagulation was higher in ICM patients at 1 year (44% vs 31%, P < .0001) and 2 years (73% vs 64%, P = .0012)., Conclusion: A shift from acute, reactive care to routine outpatient management was observed in patients with long-term ECG monitoring. Results suggest closer patient management in patients with long-term monitoring after an AF ablation and an improvement in outcomes, at similar overall cost., (© 2022 Heart Rhythm Society. Published by Elsevier Inc.)