Reliability of a Measure of Admission Intensity for Emergency Physicians.

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.

The Clinical Emergency Data Registry: Structure, Use, and Limitations for Research.

The Clinical Emergency Data Registry (CEDR) is a qualified clinical data registry that collects data from participating emergency departments (EDs) in the United States for quality measurement, improvement, and reporting purposes. This article aims to provide an overview of the data collection and validation process, describe the existing data structure and elements, and explain the potential opportunities and limitations for ongoing and future research use. CEDR data are primarily collected for quality reporting purposes and are obtained from diverse sources, including electronic health records and billing data that are de-identified and stored in a secure, centralized database. The CEDR data structure is organized around clinical episodes, which contain multiple data elements that are standardized using common data elements and are mapped to established terminologies to enable interoperability and data sharing. The data elements include patient demographics, clinical characteristics, diagnostic and treatment procedures, and outcomes. Key limitations include the limited generalizability due to the selective nature of participating EDs and the limited validation and completeness of data elements not currently used for quality reporting purposes, including demographic data. Nonetheless, CEDR holds great potential for ongoing and future research in emergency medicine due to its large-volume, longitudinal, near real-time, clinical data. In 2021, the American College of Emergency Physicians authorized the transition from CEDR to the Emergency Medicine Data Institute, which will catalyze investments in improved data quality and completeness for research to advance emergency care.

Emergency Department Care for Children During the 2022 Viral Respiratory Illness Surge.

Importance: Pediatric readiness is essential for all emergency departments (EDs). Children's experience of care may differ according to operational challenges in children's hospitals, community hospitals, and rural EDs caused by recurring and sometimes unpredictable viral illness surges. Objective: To describe wait times, lengths of stay (LOS), and ED revisits across diverse EDs participating in a statewide quality collaborative during a surge in visits in 2022. Design, Setting, and Participants: This retrospective cohort study included 25 EDs from the Michigan Emergency Department Improvement Collaborative data registry from January 1, 2021, through December 31, 2022. Pediatric (patient age <18 years) encounters for viral and respiratory conditions were analyzed, comparing wait times, LOS, and ED revisit rates for children's hospital, urban pediatric high-volume (≥10% of overall visits), urban pediatric low-volume (<10% of overall visits), and rural EDs. Exposures: Surge in ED visit volumes for children with viral and respiratory illnesses from September 1 through December 31, 2022. Main Outcomes and Measures: Prolonged ED visit wait times (arrival to clinician assigned, >4 hours), prolonged LOS (arrival to departure, >12 hours), and ED revisit rate (ED discharge and return within 72 hours). Results: A total of 2 761 361 ED visits across 25 EDs in 2021 and 2022 were included. From September 1 to December 31, 2022, there were 301 688 pediatric visits for viral and respiratory illness, an increase of 71.8% over the 4 preceding months and 15.7% over the same period in 2021. At children's hospitals during the surge, 8.0% of visits had prolonged wait times longer than 4 hours, 8.6% had prolonged LOS longer than 12 hours, and 42 revisits occurred per 1000 ED visits. Prolonged wait times were rare among other sites. However, prolonged LOS affected 425 visits (2.2%) in urban high-pediatric volume EDs, 133 (2.6%) in urban pediatric low-volume EDs, and 176 (3.1%) in rural EDs. High visit volumes were associated with increased ED revisits across sites. Conclusions and Relevance: In this cohort study of more than 2.7 million ED visits, a pediatric viral illness surge was associated with different pediatric acute care across EDs in the state. Clinical management pathways and quality improvement efforts may more effectively mitigate dangerous clinical conditions with strong collaborative relationships across EDs and setting of care.

Race and Ethnicity and Emergency Department Discharge Against Medical Advice.

Importance: Although discharges against medical advice (DAMA) are associated with greater morbidity and mortality, little is known about current racial and ethnic disparities in DAMA from the emergency department (ED) nationally. Objective: To characterize current patterns of racial and ethnic disparities in rates of ED DAMA. Design, Setting, and Participants: This cross-sectional study used data from the Nationwide Emergency Department Sample on all hospital ED visits made between January to December 2019 in the US. Main Outcomes and Measures: The main outcome was odds of ED DAMA for Black and Hispanic patients compared with White patients nationally and in analysis adjusted for sociodemographic factors. Secondary analysis examined hospital-level variation in DAMA rates for Black, Hispanic, and White patients. Results: The study sample included 33 147 251 visits to 989 hospitals, representing the estimated 143 million ED visits in 2019. The median age of patients was 40 years (IQR, 22-61 years). Overall, 1.6% of ED visits resulted in DAMA. DAMA rates were higher for Black patients (2.1%) compared with Hispanic (1.6%) and White (1.4%) patients, males (1.7%) compared with females (1.5%), those with no insurance (2.8%), those with lower income (<$27 999; 1.9%), and those aged 35 to 49 years (2.2%). DAMA visits were highest at metropolitan teaching hospitals (1.8%) and hospitals that served greater proportions of racial and ethnic minoritized patients (serving ≥57.9%; 2.1%). Odds of DAMA were greater for Black patients (odds ratio [OR], 1.45; 95% CI, 1.31-1.57) and Hispanic patients (OR, 1.16; 95% CI, 1.04-1.29) compared with White patients. After adjusting for sociodemographic characteristics (age, sex, income, and insurance status), the adjusted OR (AOR) for DAMA was lower for Black patients compared with the unadjusted OR (AOR, 1.18; 95% CI, 1.09-1.28) and there was no difference in odds for Hispanic patients (AOR, 1.03; 95% CI, 0.92-1.15) compared with White patients. After additional adjustment for hospital random intercepts, DAMA disparities reversed, with Black and Hispanic patients having lower odds of DAMA compared with White patients (Black patients: AOR, 0.94 [95% CI, 0.90-0.98]; Hispanic patients: AOR, 0.68 [95% CI, 0.63-0.72]). The intraclass correlation in this secondary analysis model was 0.118 (95% CI, 0.104-0.133). Conclusions and Relevance: This national cross-sectional study found that Black and Hispanic patients had greater odds of ED DAMA than White patients in unadjusted analysis. Disparities were reversed after patient-level and hospital-level risk adjustment, and greater between-hospital than within-hospital variation in DAMA was observed, suggesting that Black and Hispanic patients are more likely to receive care in hospitals with higher DAMA rates. Structural racism may contribute to ED DAMA disparities via unequal allocation of health care resources in hospitals that disproportionately treat racial and ethnic minoritized groups. Monitoring variation in DAMA by race and ethnicity and hospital suggests an opportunity to improve equitable access to health care.

A taxonomy of key performance errors for emergency intubation.

STUDY OBJECTIVE: Currently the videographic review of emergency intubations is an unstructured, qualitative process. We created a taxonomy of errors that impede the optimal procedural performance of emergency intubation. METHODS: This was a prospective, observational, study reviewing a convenience sample of deidentified laryngoscopy recordings of emergency department intubations that were qualitatively flagged before the study as demonstrating suboptimal technique. These videos were coded for the presence of 13 predetermined performance errors. Our primary outcome was the incidence of each of these specified errors during emergency intubation. Errors fell into 3 categories: errors of structure recognition during laryngoscope insertion, errors of vallecula manipulation, and errors of device delivery. RESULTS: A total of 100 intubation attempts were reviewed. The most common error was inadequate lifting force with the blade tip in the vallecula which lowered the percent of glottic opening, occurring in 45% of the attempts. The least common performance error was the premature removal of the laryngoscope during bougie placement, occurring in only 9% of the videos. CONCLUSION: We developed a taxonomy of 13 performance errors of laryngoscopy. Further study is warranted to determine how to best incorporate these into emergency airway training and the airway review process.

A National Snapshot of Social Determinants of Health Documentation in Emergency Departments.

INTRODUCTION: Documentation and measurement of social determinants of health (SDoH) are critical to clinical care and to healthcare delivery system reforms targeting health equity. The SDoH are codified in the International Classification of Disease 10th Rev (ICD-10) Z codes. However, Z codes are listed in only 1-2% of inpatient charts. Little is known about the frequency of Z code utilization specifically among emergency department (ED) patient populations nationally. METHODS: This was a repeated cross-sectional analysis of ED visit data in the United States from the Nationwide Emergency Department Sample from 2016-2019. We characterized the use of Z codes and described associations between Z code use and patient- and hospital-level factors including the following: age; gender; race; insurance status; ED disposition; ED size; hospital urban-rural status; ownership; and clinical conditions. We calculated unadjusted odds ratios for likelihood of Z code reporting for each ED visit. RESULTS: Of approximately 140 million ED visits per year, 0.65% had an associated Z code in 2016, rising to 1.17% by 2019. Visits were more likely to have an associated Z code for adults age <65, male, Black, Medicaid or self-pay patients, and patients admitted to the hospital. Larger EDs, those in metropolitan areas, academic centers, and government-run hospitals were more likely to report Z codes. The most commonly associated clinical conditions were as follows: schizophrenia spectrum and other psychotic disorders; depressive disorder; and alcohol-related disorders. CONCLUSION: There is a paucity of Z code documentation in the health records of ED patients, although use is uptrending. Further research is warranted to better understand the drivers of clinicians' use of Z codes and to improve on their utility.

National trends in emergency conditions through the Omicron COVID-19 wave in commercial and Medicare Advantage enrollees.

Objective: To evaluate trends in emergency care sensitive conditions (ECSCs) from pre-COVID (March 2018-February 2020) through Omicron (December 2021-February 2022). Methods: This cross-sectional analysis evaluated trends in ECSCs using claims (OptumLabs Data Warehouse) from commercial and Medicare Advantage enrollees. Emergency department (ED) visits for ECSCs (acute appendicitis, aortic aneurysm/dissection, cardiac arrest/severe arrhythmia, cerebral infarction, myocardial infarction, pulmonary embolism, opioid overdose, pre-eclampsia) were reported per 100,000 person months from March 2018 to February 2022 by pandemic wave. We calculated the percent change for each pandemic wave compared to the pre-pandemic period. Results: There were 10,268,554 ED visits (March 2018-February 2022). The greatest increases in ECSCs were seen for pulmonary embolism, cardiac arrest/severe arrhythmia, myocardial infarction, and pre-eclampsia. For commercial enrollees, pulmonary embolism visit rates increased 22.7% (95% confidence interval [CI], 18.6%-26.9%) during Waves 2-3, 37.2% (95% CI, 29.1%-45.8%] during Delta, and 27.9% (95% CI, 20.3%-36.1%) during Omicron, relative to pre-pandemic rates. Cardiac arrest/severe arrhythmia visit rates increased 4.0% (95% CI, 0.2%-8.0%) during Waves 2-3; myocardial infarction rates increased 4.9% (95% CI, 2.1%-7.8%) during Waves 2-3. Similar patterns were seen in Medicare Advantage enrollees. Pre-eclampsia visit rates among reproductive-age female enrollees increased 31.1% (95% CI, 20.9%-42.2%), 23.7% (95% CI, 7.5%,-42.3%), and 34.7% (95% CI, 16.8%-55.2%) during Waves 2-3, Delta, and Omicron, respectively. ED visits for other ECSCs declined or exhibited smaller increases. Conclusions: ED visit rates for acute cardiovascular conditions, pulmonary embolism and pre-eclampsia increased despite declines or stable rates for all-cause ED visits and ED visits for other conditions. Given the changing landscape of ECSCs, studies should identify drivers for these changes and interventions to mitigate them.

The Cost Shifting Economics of United States Emergency Department Professional Services (2016-2019).

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.

An Outcome Comparison Between Geriatric and Nongeriatric Emergency Departments.

STUDY OBJECTIVE: We sought to describe diagnosis rates and compare common process outcomes between geriatric emergency departments (EDs) and nongeriatric EDs participating in the American College of Emergency Physicians Clinical Emergency Data Registry (CEDR). METHODS: We conducted an observational study of ED visits in calendar year 2021 within the CEDR by older adults. The analytic sample included 6,444,110 visits at 38 geriatric EDs and 152 matched nongeriatric EDs, with the geriatric ED status determined based on linkage to the American College of Emergency Physicians' Geriatric ED Accreditation program. Stratified by age, we assessed diagnosis rates (X/1000) for 4 common geriatric syndrome conditions and a set of common process outcomes including the ED length of stay, discharge rates, and 72-hour revisit rates. RESULTS: Across all age categories, geriatric EDs had higher diagnosis rates than nongeriatric EDs for 3 of the 4 following geriatric syndrome conditions of interest: urinary tract infection, dementia, and delirium/altered mental status. The median ED site-level length of stay for older adults was lower at geriatric EDs compared with that at nongeriatric EDs, whereas 72-hour revisit rates were similar across all age categories. Geriatric EDs exhibited a median discharge rate of 67.5% for adults aged 65 to 74 years, 60.8% for adults aged 75 to 84 years, and 55.6% for adults aged >85 years. Comparatively, the median discharge rate at nongeriatric ED sites was 69.0% for adults aged 65 to 74 years, 64.2% for adults aged 75 to 84 years, and 61.3% for adults aged >85 years. CONCLUSION: Geriatric EDs had higher geriatric syndrome diagnosis rates, lower ED lengths of stay, and similar discharge and 72-hour revisit rates when compared with nongeriatric EDs in the CEDR. These findings provide the first benchmarks for emergency care process outcomes in geriatric EDs compared with nongeriatric EDs.

Disparate Utilization of Urine Drug Screen Nationwide in the Evaluation of Acute Chest Pain.

INTRODUCTION: Urine drug screens (UDS) have unproven clinical utility in emergency department (ED) chest pain presentations. A test with such limited clinical utility may exponentiate biases in care, but little is known about the epidemiology of UDS use for this indication. We hypothesized that UDS utilization varies nationally across race and gender. METHODS: This was a retrospective observational analysis of adult ED visits for chest pain in the 2011-2019 National Hospital Ambulatory Medical Care Survey. We calculated the utilization of UDS across race/ethnicity and gender and then characterized predictors of use via adjusted logistic regression models. RESULTS: We analyzed 13,567 adult chest pain visits, representative of 85.8 million visits nationally. Use of UDS occurred for 4.6% of visits (95% CI 3.9%-5.4%). White females underwent UDS at 3.3% of visits (95% CI 2.5%-4.2%), and Black females at 4.1% (95% CI 2.9%-5.2%). White males were tested at 5.8% of visits (95% CI 4.4%-7.2%), while Black males were tested at 9.3% of visits (95% CI 6.4%-12.2%). A multivariate logistic regression model including race, gender, and time period shows significantly increased odds of ordering UDS for Black patients (odds ratio [OR] 1.45 (95% CI 1.11-1.90, p = 0.007)) and male patients (OR 2.0 (95% CI 1.55-2.58, p < 0.001) as compared to White patients and female patients. CONCLUSION: We identified wide disparities in the utilization of UDS for the evaluation of chest pain. If UDS were used at the rate observed for White women, Black men would undergo nearly 50,000 fewer tests annually. Future research should weigh the potential of the UDS to magnify biases in care against the unproven clinical utility of the test.

Estimated reimbursement impact of COVID-19 on emergency physicians.

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.

Development and Internal Validation of an Emergency Department Admission Intensity Measure Using Data From a National Group.

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.

Pediatric mental health visits with prolonged length of stay in community emergency departments during COVID-19.

Objectives: To characterize trends in pediatric mental health visit counts, including visits for prolonged length of stay (LOS), in a sample of emergency departments (EDs) from 29 states during COVID-19. Methods: We performed a secondary analysis of the Clinical Emergency Data Registry from January 2020 through December 2021. We reported trends in pediatric mental health visit counts overall and for those with prolonged ED LOS. We reported incident rate ratios (IRRs) for monthly counts compared to January 2020. Among visits with LOS >24 hours, we reported on the most common diagnostic categories. Results: There were 107 EDs from 29 states with available complete data in 2020 and 2021. Pediatric mental health visit counts resulting in a LOS greater than 6, 12, and 24 hours were higher for much of 2021. At their peak, there were 604 visits with LOS >12 hours (IRR, 2.14; 95% confidence interval [CI], 1.86-2.47) and 262 visits (IRR, 2.46; 95% CI, 1.97-3.09) with LOS >24 hours in April 2021. Pediatric mental health visits with LOS >12 hours and >24 hours made up 20.9% and 7.3% of pediatric mental health visits overall, respectively. For visits with ED LOS >24 hours, the most common diagnostic categories were suicide or self-injury, depressive disorders, and mental health syndrome. Conclusions: In this sample of 107 EDs in 29 states, visit counts with prolonged LOS >24 hours more than doubled in some months since the arrival of COVID-19. These findings are indicative of an increasingly strained emergency and mental health system.

Trends In Treat-And-Release Emergency Care Visits With High-Intensity Billing In The US, 2006-19.

Clinicians' billing practices for professional services in the emergency department (ED) have come under scrutiny as the proportion of expensive high-intensity visits has grown in recent decades. Clinicians respond to payers' criticism by citing the worsening health status of undifferentiated patients alongside increasing expectations of ED care, with few data available to disentangle these phenomena from coding practices. We performed an observational study of US treat-and-release ED visits using data from the Nationwide Emergency Department Sample. In 2006, 4.8 percent of treat-and-release ED visits exhibited high-intensity billing, and this figure rose to 19.2 percent by 2019. The proportion of visits for older patients, those with more comorbidities, and those with nonspecific but potentially serious diagnoses grew. Of the observed growth in high-intensity billing, 47 percent was expected, based on changes in administrative measures for patient case-mix and care services. Any emergency care reimbursement reform must account for growing patient complexity and an evolving role for EDs in the health care system.

Association of Coded Housing Instability and Hospitalization in the US.

Importance: Housing instability and other social determinants of health are increasingly being documented by clinicians. The most common reasons for hospitalization among patients with coded housing instability, however, are not well understood. Objective: To compare the most common reasons for hospitalization among patients with and without coded housing instability. Design, Setting, and Participants: This cross-sectional, retrospective study identified hospitalizations of patients between age 18 and 99 years using the 2017 to 2019 National Inpatient Sample. Data were analyzed from May to September 2022. Exposures: Housing instability was operationalized using 5 International Classification of Diseases, 10th Revision, Social Determinants of Health Z-Codes addressing problems related to housing: homelessness; inadequate housing; discord with neighbors, lodgers, and landlords; residential institution problems; and other related problems. Main Outcomes and Measures: The primary outcome of interest was reason for inpatient admission. Bivariate comparisons of patient characteristics, primary diagnoses, length of stay, and hospitalization costs among patients with and without coded housing instability were performed. Results: Among the 87 348 604 hospitalizations analyzed, the mean (SD) age was 58 (20) years and patients were more likely to be women (50 174 117 [57.4%]) and White (58 763 014 [67.3%]). Housing instability was coded for 945 090 hospitalizations. Hospitalized patients with housing instability, compared with those without instability, were more likely to be men (668 255 patients with coded instability [70.7%] vs 36 506 229 patients without [42.3%]; P < .001), younger (mean [SD] age 45.5 [14.0] vs 58.4 [20.2] years), Black (235 355 patients [24.9%] vs 12 929 158 patients [15.0%]), Medicaid beneficiaries (521 555 patients [55.2%] vs 15 541 175 patients [18.0%]), uninsured (117 375 patients [12.4%] vs 3 476 841 patients [4.0%]), and discharged against medical advice (28 890 patients [8.4%] vs 451 855 patients [1.6%]). The most common reason for hospitalization among patients with coded housing instability was mental, behavioral, and neurodevelopmental disorders (475 575 patients [50.3%]), which cost a total of $3.5 billion. Other common reasons included injury (69 270 patients [7.3%]) and circulatory system diseases (64 700 patients [6.8%]). Coded housing instability was also significantly associated with longer mean (SD) hospital stays (6.7 [.06] vs 4.8 [.01] days) and a cost of $9.3 billion. Hospitalized patients with housing instability had 18.6 times greater odds of having a primary diagnosis of mental, behavioral, and neurodevelopmental disorders (475 575 patients [50.3%] vs 4 470 675 patients [5.2%]; odds ratio, 18.56; 95% CI, 17.86 to 19.29). Conclusions and Relevance: In this cross-sectional study, hospitalizations among patients with coded housing instability had higher admission rates for mental, behavioral, and neurodevelopmental disorders, longer stays, and increased costs. Findings suggest that efforts to improve housing instability, mental and behavioral health, and inpatient hospital utilization across multiple sectors may find areas for synergistic collaboration.

Hospital Occupancy and Emergency Department Boarding During the COVID-19 Pandemic.

This cross-sectional study uses national benchmarking data to evaluate hospital occupancy and emergency department boarding during the COVID-19 pandemic.

Monthly Rates of Patients Who Left Before Accessing Care in US Emergency Departments, 2017-2021.

This cross-sectional study investigates rates of patients who left emergency departments without being seen from 2017 to 2021.

The 2013 to 2019 Emergency Medicine Workforce: Clinician Entry and Attrition Across the US Geography.

STUDY OBJECTIVE: We sought to identify longitudinal trends in workforce entry and attrition among rural and urban emergency physicians, nonemergency physicians, and advanced practice providers. METHODS: We performed a repeated cross-sectional analysis, from 2013 to 2019, of emergency clinicians who received reimbursement for at least 50 Evaluation and Management services [99281-99285] from Medicare part B within any study year. We calculated the emergency workforce's entry and attrition rates annually. Entry was defined as clinicians newly entering or re-entering the workforce, and attrition was defined as clinicians leaving permanently or temporarily. We stratified the analyses by rural designation and assessed the proportions and state-level changes in clinician density. RESULTS: In total, 82,499 unique clinicians performed at least 50 Evaluation and Management services within any of the 7 study years examined, including 47,000 emergency physicians, 9,029 nonemergency physicians, and 26,470 advanced practice providers. Emergency physicians made up a decreasing proportion of the workforce (68.1% in 2013; 65.5% in 2019), and advanced practice providers made up an increasing proportion of the workforce (20.9% in 2013; 26.1% in 2019). Annually, 5.9% to 6.8% (2,186 to 2,407) of emergency physicians newly entered and 0.8% to 1.4% (264 to 515) re-entered the workforce, whereas 3.8% to 4.9% (1,241 to 1,793) permanently left and 0.8% to 1.6% (276 to 521) temporarily left. Additionally, the total proportion of clinicians practicing in rural designations decreased, and advanced practice providers separately made up a substantially increasing proportion of the rural workforce (23.0% in 2013; 32.7% in 2019). Substantial state-level variation existed in the supply and demand of emergency clinician densities per 100,000 population. CONCLUSION: The annual rate of emergency physician attrition was collectively more than 5%, well above the 3% assumed in a recently publicized projection, suggesting a potential overestimation of the anticipated future clinician surplus. Notably, the attrition of emergency physicians has disproportionately affected vulnerable rural areas. This work can inform emergency medicine workforce decisions regarding residency training, advanced practice provider utilization, and clinician employment.

Development of a Novel Emergency Department Quality Measure to Reduce Very Low-Risk Syncope Hospitalizations.

STUDY OBJECTIVE: Emergency department (ED) evaluations for syncope are common, representing 1.3 million annual US visits and $2 billion in related hospitalizations. Despite evidence supporting risk stratification and outpatient management, variation in syncope hospitalization rates persist. We sought to develop a new quality measure for very low-risk adult ED patients with syncope that could be applied to administrative data. METHODS: We developed this quality measure in 2 phases. First, we used an existing prospective, observational ED patient data set to identify a very low-risk cohort with unexplained syncope using 2 variables: age less than 50 years and no history of heart disease. We then applied this to the 2019 Nationwide Emergency Department Sample (NEDS) to assess its potential effect, assessing for hospital-level factors associated with hospitalization variation. RESULTS: Of the 8,647 adult patients in the prospective cohort, 3,292 (38%) patients fulfilled these 2 criteria: age less than 50 years and no history of heart disease. Of these, 15 (0.46%) suffered serious adverse events within 30 days. In the NEDS, there were an estimated 566,031 patients meeting these 2 criteria, of whom 15,507 (2.7%; 95% confidence interval [CI] 2.48% to 3.00%) were hospitalized. We found substantial variation in the hospitalization rates for this very low-risk cohort, with a median rate of 1.7% (range 0% to 100%; interquartile range 0% to 3.9%). Factors associated with increased hospitalization rates included a yearly ED volume of more than 80,000 (odds ratio [OR] 3.14; 95% CI 2.02 to 4.89) and metropolitan teaching status (OR 1.5; 95% CI 1.24 to 1.81). CONCLUSION: In summary, our novel syncope quality measure can assess variation in low-value hospitalizations for unexplained syncope. The application of this measure could improve the value of syncope care.