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Introduction: The disproportionate impact of coronavirus 2019 (COVID-19) on Black and Hispanic communities has been widely reported. Many studies have used neighborhood racial/ethnic composition to study such disparities, but less is known about the interplay between individual race/ethnicity and neighborhood racial composition. Therefore, our goal in this study was to assess the relative contributions of individual and neighborhood risk to disparities in COVID-19 incidence and outcomes.Methods: We performed a cross-sectional study of patients with emergency department (ED) and inpatient visits to an academic health system (12 hospitals; February 1–July 15, 2020). The primary independent variable was race/ethnicity; covariates included individual age, sex, comorbidity, insurance and neighborhood density, poverty, racial/ethnic composition, education and occupation. The primary outcome was severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positivity; secondary outcomes included admission and death after COVID-19. We used generalized estimating equations to assess whether race/ethnicity remained significantly associated with COVID-19 after adjustment for individual and neighborhood factors.Results: There were 144,982 patients; 5,633 (4%) were SARS-CoV-2 positive. Of those, 2,961 (53%) were admitted and 601(11%) died. Diagnosis of COVID-19, admission, and death were more common among non-Hispanic Black, Hispanic, Spanish-speaking patients, and those with public insurance. In the base model (adjusting for race/ethnicity, age, sex, and comorbidities), race/ethnicity was strongly associated with COVID-19 (non-Hispanic Black odds ratio [OR] 4.64 [95% confidence interval (CI) 4.18–5.14], and Hispanic OR 6.99 [CI 6.21–7.86]), which was slightly attenuated but remained significant after adjustment for neighborhood factors. Among patients with COVID-19, there was no significant association between race/ethnicity and hospital admission, other than for patients with unknown race.Conclusion: This data demonstrates a persistent association between race/ethnicity and COVID-19 incidence, with Black and Hispanic patients at significantly higher risk, which was not explained by measured individual or neighborhood factors. This suggests that using existing neighborhood factors in studies examining health equity may be insufficient, and more work is needed to quantify and address structural factors and social determinants of health to improve equity.

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

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 associatedwith 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. [West J Emerg Med. 2023;24(4)1–7.]

ObjectiveGiven the variability in crisis standards of care (CSC) guidelines during the COVID-19 pandemic, we investigated the racial and ethnic differences in prioritization between 3 different CSC triage policies (New York, Massachusetts, USA), as well as a first come, first served (FCFS) approach, using a single patient population.MethodsWe performed a retrospective cohort study of patients with intensive care unit (ICU) needs at a tertiary hospital on its peak COVID-19 ICU census day. We used medical record data to calculate a CSC score under 3 criteria: New York, Massachusetts with full comorbidity list (Massachusetts1), and MA with a modified comorbidity list (Massachusetts2). The CSC scores, as well as FCFS, determined which patients were eligible to receive critical care under 2 scarcity scenarios: 50 versus 100 ICU bed capacity. We assessed the association between race/ethnicity and eligibility for critical care with logistic regression.ResultsOf 211 patients, 139 (66%) were male, 95 (45%) were Hispanic, 23 (11%) were non-Hispanic Black, and 69 (33%) were non-Hispanic White. Hispanic patients had the fewest comorbidities. Assuming a 50 ICU bed capacity, Hispanic patients had significantly higher odds of receiving critical care services across all CSC guidelines, except FCFS. However, assuming a 100 ICU bed capacity, Hispanic patients had greater odds of receiving critical care services under only the Massachusetts2 guidelines (odds ratio, 2.05; 95% CI, 1.09 to 3.85).ConclusionVarying CSC guidelines differentially affect racial and ethnic minority groups with regard to risk stratification. The equity implications of CSC guidelines require thorough investigation before CSC guidelines are implemented.

To develop a translation between the Glasgow Come Scale and the Alert-Verbal-Pain-Unresponsive (AVPU) scale among adults with out-of-hospital emergencies. We performed a retrospective analysis of adults (≥18 years) from the 2022 National Emergency Medical Services (EMS) Information System with a ground scene encounter with a concurrently documented GCS and AVPU assessment. Using a training partition of 2.5 million encounters, we performed a grid search to identify all combinations of mutually exclusive cutpoints which divided the GCS into four segments. We identified the combination with the highest Kappa statistic and reported metrics of performance in this sample in the test partition. We identified 16,321,299 encounters with a concurrent AVPU and GCS. Using the AVPU scale, 93.3 % were classified as Alert; 2.9 % as Verbal; 1.5 % as Pain; and 2.3 % as Unresponsive. Using a grid-based search, optimal cutpoints were identified when using a GCS of 14–15 for Alert, 10–13 for Verbal, 7–9 for Pain, and 3–6 for Unresponsive. Cohen's Kappa was 0.63 in the test partition, indicating substantial agreement. Intraclass F1 score varied across different alertness levels and were 0.97 for "Alert", 0.43 for "Verbal", 0.49 for "Pain", and 0.83 for "Unresponsive". Findings were similar in analyses performed by age group and by the presence or absence of trauma. We report an optimal crosswalk between the AVPU and GCS scales. Performance in the Verbal and Pain categories was lower than the Alert and Unresponsive categories. These findings may facilitate clinician handovers between EMS and non-EMS clinicians. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Parenteral ketorolac and intravenous (IV) acetaminophen have been used for prehospital analgesia, yet limited data exist on their comparative effectiveness. To evaluate the comparative effectiveness of IV acetaminophen and parenteral ketorolac for analgesia in the prehospital setting. We conducted a retrospective cross-sectional evaluation of patients receiving IV acetaminophen or parenteral ketorolac for pain management in a large suburban EMS system between 1/1/2019 and 11/30/2021. The primary outcome was change in first to last pain score. Subgroup analysis was performed on patients with traumatic pain. We used inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) to estimate the treatment effect of acetaminophen versus ketorolac among all patients and the subgroup of those with traumatic pain. Of 2178 patients included, 856 (39.3%) received IV acetaminophen and 1322 (60.7%) received parenteral ketorolac. The unadjusted mean change in pain score was −1.9 (SD 2.4) for acetaminophen group and −2.4 (SD 2.4) for ketorolac. In the propensity score analyses, there was no statistically significant difference in pain score change for the acetaminophen group versus ketorolac among all patients (mean difference, IPTW: 0.11, 95% confidence interval [CI] −0.16, 0.37; PSM: 0.15, 95% CI −0.13, 0.43) and among those with traumatic pain (unadjusted: 0.18, 95% CI −0.35, 0.72; IPTW: 0.23, 95% CI −0.25, 0.71; PSM: −0.03, 95% CI −0.61, 0.54). We found no statistically significant difference in mean pain reduction of IV acetaminophen and parenteral ketorolac for management of acute pain. [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]