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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.

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]

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. 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. 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. 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. [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]