Measuring Emergency Department Workload Perception Using Electronic Medical Record Measures of Patient Volume and Acuity.

BACKGROUND: Workload in the emergency department (ED) fluctuates and there is no established model for measurement of clinician-level ED workload. OBJECTIVE: The aim of this study was to measure perceived ED workload and assess the relationship between perceived workload and objective measures of workload from the electronic medical record (EMR). METHODS: This study was conducted at a tertiary care, academic ED from July 1, 2020 through April 13, 2021. Attending workload perceptions were collected using a 5-point scale in three care areas with variable acuity. We collected eight EMR measures thought to correlate with perceived workload. EMR values were compared across areas of the department using ANOVA and correlated with attending workload ratings using linear regression. RESULTS: We collected 315 unique workload ratings, which were normally distributed. For the entire department, there was a weak positive correlation between reported workload perception and mean percentage of inpatient admissions (r = 0.23; p < 0.001), intensive care unit admissions (r = 0.2; p < 0.001), patient arrivals per shift (r = 0.14; p = 0.017), critical care billed visits (r = 0.22; p < 0.001), cardiopulmonary resuscitation code activations (r = 0.2; p < 0.001), and level 5 visits (r = 0.13; p = 0.02). There was weak negative correlation for ED discharges (r = -0.23; p < 0.001). Several correlations were stronger in individual care areas, including percent admissions in the lowest-acuity area (r = 0.43; p = 0.033) and patient arrivals in the highest-acuity area (r = 0.44; p < .01). No significant correlation was found in any area for observation admissions or trauma activations. CONCLUSIONS: In this study, EMR measures of workload were not closely correlated with ED attending physician workload perception. Future study should examine additional factors contributing to physician workload outside of the EMR.

Chimeric antigen receptor T-cell toxicity.

PURPOSE OF REVIEW: Chimeric antigen receptor -(CAR) T-cell therapy has become a commonly used immunotherapy originally used in the treatment of B-cell leukemias but which are now applied broadly across tumor classes. Although high rates of remission are associated with CAR T-cell therapy, toxicities associated with these novel treatment regimens can be lethal if not recognized in a timely manner. RECENT FINDINGS: Cytokine release syndrome and neurotoxicity are the two most common toxicities associated with CAR T-cell therapy. Cytokine release syndrome is characterized by a flu-like illness accompanied by significant hemodynamic instability; treatments include administration of tocilizumab and corticosteroids. Neurotoxicity is associated with nonpattern-specific neurological changes and can rapidly progress to a comatose state from cerebral edema and death. Other potential toxicities from CAR T-cell therapy include tumor lysis syndrome, B-cell aplasia, graft versus host disease, and dermatological eruptions. SUMMARY: Clinical awareness of CAR T-cell toxicities is important because prompt treatment leads to improved survival and remission rates.

Utilization of chest CT for injured patients during visits to U.S. emergency departments: 2012-2015.

INTRODUCTION: Increased use of computed tomography (CT) during injury-related Emergency Department (ED) visits has been reported, despite increased awareness of CT radiation exposure risks. We investigated national trends in the use of chest CT during injury-related ED visits between 2012 and 2015. METHODS: Analyzing injury-related ED visits from the 2012-2015 United States (U.S.) National Hospital Ambulatory Medical Care Survey (NHAMCS), we determined the percentage of visits that had a chest CT and the diagnostic yield of these chest CTs for clinically-significant findings. We used survey-weighted multivariable logistic regression to determine which patient and visit characteristics were associated with chest CT use. RESULTS: Injury-related visits accounted for 30% of the 135 million yearly ED visits represented in NHAMCS. Of these visits, 817,480 (2%) received a chest CT over the study period. The diagnostic yield was 3.88%. Chest CT utilization did not change significantly from a rate of 1.73% in 2012 to a rate of 2.31% in 2015 (p = 0.14). Multivariate logistic regression demonstrated increased odds of chest CT for patients seen by residents versus by attendings (adjusted odds ratio [AOR] 2.08, 95% confidence interval [CI] 1.41-3.08). Patients aged 18-59 and 60+ had higher AORs (5.75, CI 3.44-9.61 and 9.81, CI 5.90-16.33, respectively) than those <18 years of receiving chest CT. CONCLUSIONS: Overall chest CT utilization showed an increased trend from 2012 to 2015, but the results were not statistically significant.

Race, Ethnicity, and Delayed Time to COVID-19 Testing Among US Health Care Workers.

Importance: Access to COVID-19 testing is critical to reducing transmission and supporting early treatment decisions; when made accessible, the timeliness of testing may also be an important metric in mitigating community spread of the infection. While disparities in transmission and outcomes of COVID-19 have been well documented, the extent of timeliness of testing and the association with demographic factors is unclear. Objectives: To evaluate demographic factors associated with delayed COVID-19 testing among health care personnel (HCP) during the COVID-19 pandemic. Design, Setting, and Participants: This cross-sectional study used data from the Preventing Emerging Infections Through Vaccine Effectiveness Testing study, a multicenter, test-negative, case-control vaccine effectiveness study that enrolled HCP who had COVID-19 symptoms and testing between December 2020 and April 2022. Data analysis was conducted from March 2022 to Junne 2023. Exposure: Displaying COVID-19-like symptoms and polymerase chain reaction testing occurring from the first day symptoms occurred up to 14 days after symptoms occurred. Main Outcomes and Measures: Variables of interest included patient demographics (sex, age, and clinical comorbidities) and COVID-19 characteristics (vaccination status and COVID-19 wave). The primary outcome was time from symptom onset to COVID-19 testing, which was defined as early testing (≤2 days) or delayed testing (≥3 days). Associations of demographic characteristics with delayed testing were measured while adjusting for clinical comorbidities, COVID-19 characteristics, and test site using multivariable modeling to estimate relative risks and 95% CIs. Results: A total of 5551 HCP (4859 female [82.9%]; 1954 aged 25-34 years [35.2%]; 4233 non-Hispanic White [76.3%], 370 non-Hispanic Black [6.7%], and 324 non-Hispanic Asian [5.8%]) were included in the final analysis. Overall, 2060 participants (37.1%) reported delayed testing and 3491 (62.9%) reported early testing. Compared with non-Hispanic White HCP, delayed testing was higher among non-Hispanic Black HCP (adjusted risk ratio, 1.18; 95%CI, 1.10-1.27) and for non-Hispanic HCP of other races (adjusted risk ratio, 1.17; 95% CI, 1.03-1.33). Sex and age were not associated with delayed testing. Compared with clinical HCP with graduate degrees, all other professional and educational groups had significantly delayed testing. Conclusions and Relevance: In this cross-sectional study of HCP, compared with non-Hispanic White HCP and clinical HCP with graduate degrees, non-Hispanic Black HCP, non-Hispanic HCP of other races, and HCP all other professional and education backgrounds were more likely to have delayed COVID-19 testing. These findings suggest that time to testing may serve as a valuable metric in evaluating sociodemographic disparities in the response to COVID-19 and future health mitigation strategies.