Defining Levels of US Hospitals' Pediatric Capabilities.

Importance: Classifying hospitals across a wide range of pediatric capabilities, including medical, surgical, and specialty services, would improve understanding of access and outcomes. Objective: To develop a classification system for hospitals' pediatric capabilities. Design, Setting, and Participants: This cross-sectional study included data from 2019 on all acute care hospitals with emergency departments in 10 US states that treated at least 1 child per day. Statistical analysis was performed from September 2023 to February 2024. Exposure: Pediatric hospital capability level, defined using latent class analysis. The latent class model parameters were the presence or absence of 26 functional capabilities, which ranged from performing laceration repairs to performing organ transplants. A simplified approach to categorization was derived and externally validated by comparing each hospital's latent class model classification with its simplified classification using data from 3 additional states. Main Outcomes and Measures: Health care utilization and structural characteristics, including inpatient beds, pediatric intensive care unit (PICU) beds, and referral rates (proportion of patients transferred among patients unable to be discharged). Results: Using data from 1061 hospitals (716 metropolitan [67.5%]) with a median of 2934 pediatric ED encounters per year (IQR, 1367-5996), the latent class model revealed 4 pediatric levels, with a median confidence of hospital assignment to level of 100% (IQR, 99%-100%). Of 26 functional capabilities, level 1 hospitals had a median of 24 capabilities (IQR, 21-25), level 2 hospitals had a median of 13 (IQR, 11-15), level 3 hospitals had a median of 8 (IQR, 6-9), and level 4 hospitals had a median of 3 (IQR, 2-3). Pediatric level 1 hospitals had a median of 66 inpatient beds (IQR, 42-86), level 2 hospitals had a median of 16 (IQR, 9-22), level 3 hospitals had a median of 0 (IQR, 0-6), and level 4 hospitals had a median of 0 (IQR, 0-0) (P < .001). Level 1 hospitals had a median of 19 PICU beds (IQR, 10-28), level 2 hospitals had a median of 0 (IQR, 0-5), level 3 hospitals had a median of 0 (IQR, 0-0), and level 4 hospitals had a median of 0 (IQR, 0-0) (P < .001). Level 1 hospitals had a median referral rate of 1% (IQR, 1%-3%), level 2 hospitals had a median of 25% (IQR, 9%-45%), level 3 hospitals had a median of 70% (IQR, 52%-84%), and level 4 hospitals had a median of 100% (IQR, 98%-100%) (P < .001). Conclusions and Relevance: In this cross-sectional study of hospitals from 10 US states, a system to classify hospitals' pediatric capabilities in 4 levels was developed and was associated with structural and health care utilization characteristics. This system can be used to understand and track national pediatric acute care access and outcomes.

Comparing AVPU and Glasgow Coma Scales Among Children Seen by Emergency Medical Services.

OBJECTIVES: Consciousness assessment is an important component in the prehospital care of ill or injured children. Both the Glasgow Coma Scale (GCS) and the Alert, Verbal, Pain, Unresponsive (AVPU) scale are used for this purpose. We sought to identify cut points for the GCS to correspond to the AVPU scale for pediatric emergency medical services (EMS) encounters. METHODS: We conducted a retrospective cross-sectional analysis using the 2019-2022 National EMS Information System data set, including children (<18 years) with a GCS and AVPU score. We evaluated several approaches to develop cut points for the GCS within the AVPU scale and reported measures of performance. RESULTS: Of 6 186 663 pediatric encounters, 4 311 598 with both GCS and AVPU documentation were included (median age was 10 years [interquartile range 3-15]; 50.9% boys). Lower AVPU scores correlated with life-sustaining procedures, including those for airway management, seizure, and cardiac arrest. Optimal GCS cut points obtained via a grid-based search were 14 to 15 for alert, 11 to 13 for verbal, 7 to 10 for pain, and 3 to 6 for unresponsive. Overall accuracy was 0.95, with kappa of 0.61. Intraclass F1 statistics were lower for verbal (0.37) and pain (0.50) categories compared with alert (0.98) and unresponsive (0.78). CONCLUSIONS: We developed a cross-walking between the AVPU and GCS scales. Overall performance was high, though performance within the verbal and pain categories was lower. These findings can be useful to enhance clinician handovers and to aid in the development of EMS-based prediction models.

Fewer emergency department alarms is associated with reduced use of medications for acute agitation.

BACKGROUND AND OBJECTIVES: Patient monitoring systems provide critical information but often produce loud, frequent alarms that worsen patient agitation and stress. This may increase the use of physical and chemical restraints with implications for patient morbidity and autonomy. This study analyzes how augmenting alarm thresholds affects the proportion of alarm-free time and the frequency of medications administered to treat acute agitation. METHODS: Our emergency department's patient monitoring system was modified on June 28, 2022 to increase the tachycardia alarm threshold from 130 to 150 and to remove alarm sounds for several arrhythmias, including bigeminy and premature ventricular beats. A pre-post study was performed lasting 55 days before and 55 days after this intervention. The primary outcome was change in number of daily patient alarms. The secondary outcomes were alarm-free time per day and median number of antipsychotic and benzodiazepine medications administered per day. The safety outcome was the median number of patients transferred daily to the resuscitation area. We used quantile regression to compare outcomes between the pre- and post-intervention period and linear regression to correlate alarm-free time with the number of sedating medications administered. RESULTS: Between the pre- and post-intervention period, the median number of alarms per day decreased from 1332 to 845 (-37%). This was primarily driven by reduced low-priority arrhythmia alarms from 262 to 21 (-92%), while the median daily census was unchanged (33 vs 32). Median hours per day free from alarms increased from 1.0 to 2.4 (difference 1.4, 95% CI 0.8-2.1). The median number of sedating medications administered per day decreased from 14 to 10 (difference - 4, 95% CI -1 to -7) while the number of escalations in level of care to our resuscitation care area did not change significantly. Multivariable linear regression showed a 60-min increase of alarm-free time per day was associated with 0.8 (95% CI 0.1-1.4) fewer administrations of sedating medication while an additional patient on the behavioral health census was associated with 0.5 (95% CI 0.0-1.1) more administrations of sedating medication. CONCLUSION: A reasonable change in alarm parameter settings may increase the time patients and healthcare workers spend in the emergency department without alarm noise, which in this study was associated with fewer doses of sedating medications administered.

"Right now, it's kind of haphazard"-Pediatric emergency care coordinators and quality of emergency care for children: A qualitative study.

Objectives: Pediatric readiness varies widely among emergency departments (EDs). The presence of a pediatric emergency care coordinator (PECC) has been associated with improved pediatric readiness and decreased mortality, but adoption of PECCs has been limited. Our objective was to understand factors associated with PECC implementation in general EDs. Methods: We conducted semistructured qualitative interviews with a purposively sampled set of EDs with and without PECCs. Interviews were completed, transcribed, and coded until thematic saturation was reached. Themes were identified through a consensus process and mapped to the Consolidated Framework for Implementation Research (CFIR). Results: Twenty-four interviews were conducted and mapped to themes related to innovation, individuals and implementation process, outer setting (health system), and inner setting (hospital/ED). Addressing innovation, individuals, and implementation process, the primary theme was variability in how the PECC role was defined and who was responsible for implementing it. Regarding the outer setting, participants reported that limited system resources affected their ability to implement the PECC role. Key inner setting themes included concerns about limited visit volume, a lack of systems for measuring pediatric quality of care, and significant tension around change. Conclusions: Implementation of the PECC role appears to be limited by heterogeneous interpretations of the PECC, de-prioritization of pediatrics, and limited system resources. However, many participants described motivation to improve pediatric care and implement the PECC role in context of increasing pediatric visits; they offered strategies for future implementation efforts.

Patient-related Factors Associated with Potentially Unnecessary Transfers for Pediatric Patients with Asthma: A Retrospective Cohort Study.

Background/Objective: Asthma is a common chronic medical condition among children and the most common diagnosis associated with interfacility transports for pediatric patients. As many as 40% of pediatric transfers may be unnecessary, resulting in potential delays in care and unnecessary costs. Our objective was to identify the patient-related factors associated with potentially unnecessary transfers for pediatric patients with asthma. Methods: We used patient care data from the California Department of Health Care Access and Information patient discharge and emergency department (ED) datasets to capture ED visits where a pediatric patient (age 2-17 years) presented with asthma and was transferred to another ED or acute care hospital. The outcome of interest was a potentially unnecessary transfer, defined as a visit where length of stay after transfer was <24 hours and no advanced services were used, such as respiratory therapy or critical care. Patient-related characteristics were extracted, including age, gender, race/ethnicity, primary language, insurance status, and clinical characteristics. First, we used descriptive statistics to compare necessary vs unnecessary transfers. Second, we used generalized estimating equations accounting for clustering by ED to estimate odds ratios (OR) and identify factors associated with potentially unnecessary transfers. Results: A total of 4,233 pediatric ED patients were transferred with a diagnosis of asthma, including 461 (11%) transfers that met criteria as potentially unnecessary. Median age was 12 years (interquartile range 7-15), and 46% were female. Factors associated with increased odds of potentially unnecessary transfer while controlling for key factors included younger age (eg, 2-5 years, OR 2.0, 95% confidence interval [CI] 1.4-2.9), male gender (OR 1.4, 95% CI 1.1-1.7), and Hispanic ethnicity (OR 1.6, 95% CI 1.2-2.1), while multiple hospitalizations for asthma per year was associated with decreased odds (OR 0.2, 95% CI 0.1-0.4). Conclusion: Several patient-related factors were associated with increased or decreased odds of potentially unnecessary transfers among pediatric patients presenting to the ED with asthma. These factors can be considered in future work to better understand, predict, and reduce unnecessary transfers and their negative consequences.

Social Risk, Social Need, and Use of the Emergency Department.

This cohort study examines the association of social risk and social need with emergency department use by patients within a Medicaid accountable care organization who were screened for adverse social determinants of health in primary care.

Association between EMS Workforce Density and Population Health Outcomes in the U.S.

BACKGROUND: The prehospital care provided by emergency medical services (EMS) personnel is a critical component of the public health, public safety, and health care systems in the U.S.; however, the population-level value of EMS care is often overlooked. No studies have examined how the density of EMS personnel relates to population-level health outcomes. Our objectives were to examine the geographic distribution and density of EMS personnel in the U.S.; and quantify the association between EMS personnel density and population-level health outcomes. METHODS: We conducted a cross-sectional evaluation of county-level EMS personnel density using estimates from the National Registry of Emergency Medical Technicians in nine states that require continuous national certification (Alabama, Louisiana, Massachusetts, Minnesota, New Hampshire, North Dakota, South Carolina, Vermont, and Washington, D.C.). Outcomes of interest included life expectancy, all-cause mortality, and cardiac arrest mortality. We used quantile regression models to examine the association between a 10-person increase in EMS personnel density and each outcome at the 10th, 50th (median), and 90th percentiles, controlling for population characteristics and area health resources. RESULTS: There were 356 counties included, with a mean EMS density of 223 EMS personnel per 100,000 population. Density was higher in rural compared to urban counties (247 versus 186 per 100,000 population; p = 0.001). In unadjusted models, there was a significant association between increase in EMS personnel density and an increase in life expectancy at each examined percentile (e.g., 50th percentile, increase of 52.9 days; 95% CI 40.2, 65.5; p < 0.001), decrease in all-cause mortality at each examined percentile, and decrease in cardiac arrest mortality at the 50th and 90th percentiles. These associations were not statistically significant in the adjusted models. CONCLUSIONS: EMS personnel density differs between urban and rural areas, with higher density per population in rural areas. There were no statistically significant associations between EMS density and population-level health outcomes after controlling for population characteristics and other health resources. The best approach to quantifying the community-level value that EMS care may or may not provide remains unclear.

Emergency Department and Health Care System Factors Associated with Telehealth Innovation During the COVID-19 Pandemic.

Objective: Telehealth capacity may be an important component of pandemic response infrastructure. We aimed to examine changes in the telehealth use by the US emergency departments (EDs) during COVID-19, and to determine whether existing telehealth infrastructure or increased system integration were associated with increased likelihood of use. Methods: We analyzed 2016-2020 National ED Inventory (NEDI)-USA data, including ED characteristics and nature of telehealth use for all US EDs. American Hospital Association data characterized EDs' system integration. An ordinary least-squares regression model obtained one-step-ahead forecast of the expected proportion of EDs using telehealth in 2020 based on growth observed from 2016 to 2019. Among EDs without telehealth in 2019, we used logistic regression models to examine whether system membership or existing telehealth infrastructure were associated with odds of innovation in telehealth use in 2020, accounting for ED characteristics. Results: Of 4,038 EDs responding to telehealth questions in 2019 and 2020 (73% response rate), 3,015 used telehealth in 2020. Telehealth use by US EDs increased more than expected in 2020 (2016: 58%, 2017: 61%, 2018: 65%, 2019: 67%, 2020: 74%, greater than predicted 71%, p = 0.004). Existing telehealth infrastructure was associated with increased telehealth innovation (OR = 1.88, 95% CI: 1.49-2.36), whereas hospital system membership was not (odds ratio [OR] = 1.00, 95% confidence interval [CI]: 0.80-1.25). Conclusions: Telehealth use by US EDs in 2020 grew more than expected and preexisting telehealth infrastructure was associated with increased innovation in its use. Preparation for future pandemic responses may benefit from considering strategies to invest in local infrastructure to facilitate technology adoption and innovation.

Emergency Medical Services Management of Bronchospasm in the United States: A Cross-Sectional Analysis and Nationwide Quality Assessment.

Background/Objective: Bronchospasm, caused by asthma and other related conditions, is a significant cause of morbidity and mortality commonly managed by emergency medical services (EMS). We aimed to evaluate the quality of prehospital management of bronchospasm by EMS in the US.Methods: The National EMS Information System Public Release Research dataset, a nationwide convenience sample of prehospital patient care report data from 2018 to 2019, was used to capture 9-1-1 activations where patients aged ≥2 years were treated and transported by EMS for suspected bronchospasm. First, we described the extent to which EMS care met eight quality measures identified from available statewide EMS protocols, existing quality measures, and national guidelines. Second, we quantified the extent of risk-standardized agency-level variation in administration of inhaled beta agonists and systemic corticosteroids using logistic regression models, accounting for patient characteristics, severity, and clustering by agencies. Third, we compared rates of completed prehospital interventions between pediatric (age <18 years) versus adult patients using two-sample t-tests.Results: A total of 1,336,988 EMS encounters for suspected bronchospasm met inclusion criteria. Median age of patients was 66 years, with only 4% pediatric; 55% were female. Advanced life support (ALS) units managed 94% of suspected bronchospasm. Respiratory rate (98%) and pulse oximetry (96%) were documented in nearly all cases. Supplemental oxygen was administered to hypoxic patients by 65% of basic life support (BLS) and 73% of ALS units. BLS administered inhaled beta-agonist therapy less than half the time (48%), compared to 77% by ALS. ALS administered inhaled anticholinergic therapy in 38% of cases, and systemic corticosteroids in 19% of cases. Pediatric patients were significantly less likely to receive supplemental oxygen when hypoxic, inhaled beta-agonists, inhaled anticholinergics, or systemic corticosteroids.Conclusions: We found important gaps in recent EMS practice for prehospital care of suspected bronchospasm. We highlight three targets for improvement: inhaled beta-agonist administration by BLS, systemic corticosteroid administration by ALS, and increased interventions for pediatric patients. These findings indicate important areas for research, protocol modification, and quality improvement efforts to improve EMS management of bronchospasm.

An Electronic Medical Record Intervention to Increase Pharmacologic Prophylaxis for Venous Thromboembolism in Emergency Department Observation Patients.

STUDY OBJECTIVE: The role of venous thromboembolism (VTE) prophylaxis among patients receiving emergency department (ED) observation unit care is unclear. We investigated an electronic health record-based clinical decision support tool aimed at increasing pharmacologic VTE prophylaxis use among at-risk patients placed in ED observation units. METHODS: We conducted an interrupted time-series study of an Epic-based best practice advisory implemented in May 2019 at a health care system comprising 2 academic medical centers and 4 community hospitals with dedicated ED observation units. The best practice advisory alerted staff at 24 hours to conduct a risk assessment and linked to a VTE prophylaxis order set. We used an interrupted time series, Bayesian structured time series, and a multivariable mixed-effect regression model to estimate the intervention effect. RESULTS: Prior to the best practice advisory implementation, there were 8,895 ED observation unit patients with a length of stay more than or equal to 24 hours, and 0.9% received pharmacologic VTE prophylaxis. Afterward, there were 12,664 ED observation unit patients with a length of stay more than or equal to 24 hours, and 4.8% received pharmacologic VTE prophylaxis. The interrupted time series and causal impact analysis showed a statistically significant increase in VTE prophylaxis (eg, absolute percent difference 3.8%, 95% confidence interval 3.5 to 4.1). In a multivariable model, only the intervention was significantly associated with receiving VTE prophylaxis (odds ratio 4.56, 95% confidence interval 2.22 to 9.37). CONCLUSION: An electronic health record-based alert helped to prompt staff caring for ED observation unit patients at risk for VTE with prolonged visits to order recommended pharmacologic prophylaxis. The best risk assessment model to use and the true incidence of VTE events in this population are unclear.

Establishing outcome-driven vital signs ranges for children in the prehospital setting.

BACKGROUND: Vital signs are frequently used in pediatric prehospital assessments and guide protocol utilization. Common pediatric vital sign classification criteria identify >80% of children in the prehospital setting as having abnormal vital signs, though few receive lifesaving interventions (LSIs). We sought to identify data-driven thresholds for abnormal vital signs by evaluating their association with prehospital LSIs. METHODS: We evaluated prehospital care records for children (<18 years) transported to the hospital during 2022 from a large, national repository of emergency medical services (EMS) patient encounters. Predictors of interest were heart rate (HR), respiratory rate (RR), systolic blood pressure (SBP), and pulse oximetry. HR, RR, and SBP were converted to Z-scores using age-based distributional models. Our outcome was potential LSIs, defined as performance of selected respiratory procedures, resuscitative interventions, or medication administrations. Using cut point analysis, we identified higher specificity (maximal specificity with a minimum of 25% sensitivity) and higher sensitivity (maximal sensitivity with a minimum of 25% specificity) ranges for each vital sign and evaluated measures of diagnostic accuracy. RESULTS: We included 987,515 children (median age 10 years, IQR 2-15 years). An LSI occurred in 4.3% (2.1% with respiratory procedures, 1.2% with resuscitative interventions, and 2.0% with medication administration). HR, RR, and SBP demonstrated a U-shaped association with LSIs. Specificities ranged from 84.1% to 93.7% for higher specificity criteria, with RR demonstrating the best performance (sensitivity 84.6%, specificity 27.0%). Sensitivities ranged from 62.3% to 84.4% for higher sensitivity criteria. CONCLUSIONS: Cut points for pediatric vital signs were associated with LSIs. Specific age-adjusted ranges can identify children at higher and lower risk for receipt of LSI. These ranges may be combined with other objective measures to improve the assessment of children in the prehospital setting, assist in optimizing protocol utilization, improve transport decision making, and guide destination selection.

Mapping Oral health and Local Area Resources (MOLAR): protocol for a randomised controlled trial connecting emergency department patients with social and dental resources.

INTRODUCTION: There are substantial inequities in oral health access and outcomes in the USA, including by income and racial and ethnic identity. People with adverse social determinants of health (aSDoH), such as housing or food insecurity, are also more likely to have unmet dental needs. Many patients with dental problems present to the emergency department (ED), where minimal dental care or referral is usually available. Nonetheless, the ED represents an important point of contact to facilitate screening and referral for unmet oral health needs and aSDoH, particularly for patients who may not otherwise have access to care. METHODS AND ANALYSIS: Mapping Oral health and Local Area Resources is a randomised controlled trial enrolling 2049 adult and paediatric ED patients with unmet oral health needs into one of three trial arms: (a) a standard handout of nearby dental and aSDoH resources; (b) a geographically matched listing of aSDoH resources and a search link for identification of geographically matched dental resources; or (c) geographically matched resources along with personalised care navigation. Follow-up at 3, 6, 9 and 12 months will evaluate oral health-related quality of life, linkage to resources and dental treatment, ED visits for dental problems and the association between linkage and neighbourhood resource density. ETHICS AND DISSEMINATION: All sites share a single human subjects review board protocol which has been fully approved by the Mass General Brigham Human Subjects Review Board. Informed consent will be obtained from all adults and adult caregivers, and assent will be obtained from age-appropriate child participants. Results will demonstrate the impact of addressing aSDoH on oral health access and the efficacy of various forms of resource navigation compared with enhanced standard care. Our findings will facilitate sustainable, scalable interventions to identify and address aSDoH in the ED to improve oral health and reduce oral health inequities. TRIAL REGISTRATION NUMBER: NCT05688982.

Epidemiology of Emergency Medical Services-Attended out-of-Hospital Deliveries and Complications in the United States.

BACKGROUND: Prehospital obstetric events, including out-of-hospital deliveries and their complications, are a rare but high-risk event encountered by emergency medical services (EMS). Understanding the epidemiology of these encounters would help identify strategies to improve prehospital obstetric care. Our objective was to determine the characteristics of out-of-hospital deliveries and high-risk complications treated by EMS clinicians in the U.S. METHODS: We conducted a cross-sectional analysis of EMS patient care records in the 2018 and 2019 National EMS Information System Public Release Version 3.4 datasets. We included EMS activations after a 9-1-1 scene response for patients aged 12-50 years with evidence of an out-of-hospital delivery or delivery complication, or where the patient was a newborn aged 0-<6 h. We examined patient, community, emergency response, and clinical characteristics using descriptive statistics. RESULTS: Of the 56,735,977 EMS activations included in the 2018 and 2019 datasets, there were 8,614 out-of-hospital deliveries, 1,712 delivery complications, and 5,749 records for newborns. Most maternal (76%) out-of-hospital deliveries involved patients between the ages of 20-34 years, occurred on a weekday (73%), were treated by an advanced life support crew (85%), and occurred in a home or residence (73%). EMS-assisted field delivery was documented in 3,515 (34%) of all maternal activations but only 2% of activations with a delivery complication. Few patients received an EMS-administered medication (e.g., 0.4% received oxytocin). Supplemental oxygen was administered in 870 (15%) of newborn activations. Activations from counties with the most racial/ethnic diversity were more often treated by a BLS-level unit (16% vs. 12%, p < 0.001), and activations from rural areas had significantly longer transport times (19.7 min [IQR 8.7, 32.8] vs. urban, 13.1 min [IQR 8.7, 19.7], p < 0.001). CONCLUSION: In this large, national repository of EMS patient care records from across the U.S., most activations for out-of-hospital delivery, delivery complication, or a newborn included only routine EMS care. There were potential disparities in level of care, clinical care provided, and measures of access to definitive care based on maternal and community factors. We also identified gaps in current practice, such as for postpartum hemorrhage, that could be addressed with changes in EMS clinical protocols and regulations.

National examination of occupational hazards in emergency medical services.

OBJECTIVE: Emergency medical services (EMS) clinicians operate in environments that predispose them to occupational hazards. Our objective was to evaluate the frequency of occupational hazards and associations with mitigation strategies in a national dataset. METHODS: We performed a cross-sectional analysis of currently working, nationally certified civilian EMS clinicians aged 18-85 in the USA. After recertifying their National EMS Certification, respondents were invited to complete a survey with questions regarding demographics, work experience and occupational hazards. Three multivariable logistic regression models (OR, 95% CI) were used to describe associations between these hazards and demographics, work characteristics and mitigation strategies. Models were adjusted for age, sex, minority status, years of experience, EMS agency type, service type and EMS role. RESULTS: A total of 13 218 respondents met inclusion criteria (response rate=12%). A high percentage of EMS clinicians reported occupational injuries (27%), exposures (38%) and violence (64%) in the past 12 months. Odds of injury were lower with the presence of a lifting policy (0.73, 0.67-0.80), lift training (0.74, 0.67-0.81) and always using a powered stretcher (0.87, 0.78-0.97). Odds of exposure decreased with chemical, biological and nuclear exposure protection training (0.75, 0.69-0.80). Training in de-escalation techniques was associated with lower odds of experiencing violence (0.87, 0.79-0.96). CONCLUSIONS: Occupational hazards are commonly experienced among EMS clinicians. Common mitigation efforts are associated with lower odds of reporting these hazards. Mitigation strategies were not widespread and associated with lower odds of occupational hazards. These findings may present actionable items to reduce occupational hazards for EMS clinicians.

Impact of Care Initiation Model on Emergency Department Orders and Operational Metrics: Cohort Study.

INTRODUCTION: Emergency departments (ED) employ many strategies to address crowding and prolonged wait times. They include front-end Care Initiation and clinician-in-triage models that start the diagnostic and therapeutic process while the patient waits for a care space in the ED. The objective of this study was to quantify the impact of a Care Initiation model on resource utilization and operational metrics in the ED. METHODS: We performed a retrospective analysis of ED visits at our institution during October 2021. Baseline characteristics were compared with Chi-square and quantile regression. We used t-tests to calculate unadjusted difference in outcome measures, including number of laboratory tests ordered and average time patients spent in the waiting room and the ED treatment room, and the time from arrival until ED disposition. We performed propensity score analysis using matching and inverse probability weighting to quantify the direct impact of Care Initiation on outcome measures. RESULTS: There were 2,407 ED patient encounters, 1,191 (49%) of whom arrived during the hours when Care Initiation was active. A total of 811 (68%) of these patients underwent Care Initiation, while the remainder proceeded directly to the main treatment area. Patients were more likely to undergo Care Initiation if they had lower acuity and lower risk of admission, and if the ED was busier as measured by the number of recent arrivals and percentage of occupied ED beds. After adjusting for patient-specific and department-level covariates, Care Initiation did not increase the number of diagnostic laboratory tests ordered. Care Initiation was associated with increased waiting room time by 1.8 hours and longer time from arrival until disposition by 1.3 hours, but with decreased time in the main treatment area by 0.6 hours, which represents a 15% reduction. CONCLUSION: Care Initiation was associated with a 15% reduction in time spent in the main ED treatment area but longer waiting room time and longer time until ED disposition without significantly increasing the number of laboratory studies ordered. While previous studies produced similar results with Care Initiation models accessing all diagnostic modalities including imaging, our study demonstrates that a more limited Care Initiation model can still result in operational benefits for EDs.

Patients who use emergency medical services have greater severity of illness or injury compared to those who present to the emergency department via other means: A retrospective cohort study.

Objective: We aimed to evaluate the differences in characteristics and illness/injury severity among patients who present to the emergency department (ED) via emergency medical services (EMS) compared to patients who present via other means. Methods: We analyzed a nationwide sample of ED visits from the 2015-2019 National Hospital Ambulatory Medical Care Survey. We excluded patients <18 or >92 years old, who eloped or left against medical advice, or who arrived via interfacility transport. Mode of presentation was dichotomized to those presenting to the ED via EMS versus any other mode of transportation. Using the appropriate survey sampling weights, we described patient characteristics and compared measures of illness/injury severity between groups using a multivariable logistic regression model. Results: An unweighted total of 73,397 ED visits, representing a weighted estimate of 528,083,416 ED visits in the United States during 2015-2019, included 18% arriving via EMS and 82% via other means. EMS patients were older, more often male, more often had multiple chronic medical conditions, and less often had private insurance. EMS patients had higher priority triage scores, consumed more resources in the ED, and had longer lengths of stay. Arrival by EMS was associated with higher odds of hospital admission (odds ratio [OR] 2.7, 95% confidence interval [CI] 2.4-2.9) and in-hospital mortality (OR 11.1, 95% CI 7.3-17.2). Conclusions: Patients presenting via EMS had significantly different characteristics and outcomes than those presenting via other means. These important differences should be considered when comparing studies of all ED patients versus those who present via EMS.

Epinephrine treatment of food-induced and other cause anaphylaxis in United States and Canadian Emergency Departments: a systematic review and meta-analysis.

INTRODUCTION: Studies from more than 10 years ago showed epinephrine treatment of food-induced anaphylaxis in the emergency department (ED) was unacceptably low. We investigated whether epinephrine treatment of food-induced and other cause anaphylaxis in United States and Canadian EDs has changed over time. METHODS: Guided by a health sciences librarian, we performed a systematic search in Medline, Embase, and Web of Science on 11 January 2023. We included observational studies that reported epinephrine use to treat anaphylaxis in the ED. We stratified by anaphylaxis etiology (food-, venom-, medication-induced, or any cause). Associations between year and epinephrine use were tested using Spearman correlation and proportional meta-analysis. RESULTS: Of 2458 records identified in our initial search, 40 met inclusion criteria. Of these, 14 examined food-induced, 4 venom-induced, 0 medication-induced, and 24 any cause anaphylaxis. For epinephrine treatment of food-induced anaphylaxis in the ED, among studies using similar definition of anaphylaxis, meta-analysis showed a pooled value of 20.7% (95% CI 17.8, 23.8) for studies performed >10 years ago and 45.1% (95% CI 38.4, 52.0) from those in the last 10 years. For anaphylaxis of any cause, there was no change over time, with a pooled value of 45.0% (95% CI 39.8, 50.3) over the last 10 years. DISCUSSION: Epinephrine treatment of food-induced anaphylaxis in the ED has increased over time. There was no clear change for anaphylaxis of any cause. Over the last 10 years, approximately 45% of ED patients with anaphylaxis received epinephrine. A limitation of the evidence is heterogeneity in anaphylaxis definitions.

Evaluating changes in the emergency medical services workforce: A preliminary multistate study.

Objective: There is growing concern with the strength and stability of the emergency medical services (EMS) workforce with reports of workforce challenges in many communities in the United States. Our objective was to estimate changes in the EMS workforce by evaluating the number of clinicians who enter, stay, and leave. Methods: A 4-year retrospective cohort evaluation of all certified EMS clinicians at the emergency medical technician (EMT) level or higher was conducted for 9 states that require national EMS certification to obtain and maintain EMS licensure. The study spanned 2 recertification cycles (2017-2021) for 2 workforce populations: the certified workforce (all EMS clinicians certified to practice) and the patient care workforce (the subset who reported providing patient care). Descriptive statistics were calculated and classified into 1 of 3 categories: EMS clinicians who entered, stayed in, or left each respective workforce population. Results: There were 62,061 certified EMS clinicians in the 9 included states during the study period, and 52,269 reported providing patient care. For the certified workforce, 80%-82% stayed in and 18%-20% entered the workforce. For the patient care workforce, 74%-77% stayed and 29%-30% entered. State-level rates of leaving each workforce ranged from 16% to 19% (certified) and 19% to 33% (patient care). From 2017 to 2020, there was a net growth of both the certified (8.8%) and patient care workforces (7.6%). Conclusions: This was a comprehensive evaluation of both the certified and patient care EMS workforce dynamics in 9 states. This population-level evaluation serves as the first step for more detailed analyses to better understand workforce dynamics in EMS.