Browsing by keyword "emergency departments"
Now showing items 1-3 of 3
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A Queue-Based Monte Carlo Analysis to Support Decision Making for Implementation of an Emergency Department Fast TrackEmergency departments (EDs) are seeking ways to utilize existing resources more efficiently as they face rising numbers of patient visits. This study explored the impact on patient wait times and nursing resource demand from the addition of a fast track, or separate unit for low-acuity patients, in the ED using a queue-based Monte Carlo simulation in MATLAB. The model integrated principles of queueing theory and expanded the discrete event simulation to account for time-based arrival rates. Additionally, the ED occupancy and nursing resource demand were modeled and analyzed using the Emergency Severity Index (ESI) levels of patients, rather than the number of beds in the department. Simulation results indicated that the addition of a separate fast track with an additional nurse reduced overall median wait times by 35.8 +/- 2.2 percent and reduced average nursing resource demand in the main ED during hours of operation. This novel modeling approach may be easily disseminated and informs hospital decision-makers of the impact of implementing a fast track or similar system on both patient wait times and acuity-based nursing resource demand.
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Delirium in Older Patients With COVID-19 Presenting to the Emergency DepartmentImportance: Delirium is common among older emergency department (ED) patients, is associated with high morbidity and mortality, and frequently goes unrecognized. Anecdotal evidence has described atypical presentations of coronavirus disease 2019 (COVID-19) in older adults; however, the frequency of and outcomes associated with delirium in older ED patients with COVID-19 infection have not been well described. Objective: To determine how frequently older adults with COVID-19 present to the ED with delirium and their associated hospital outcomes. Design, setting, and participants: This multicenter cohort study was conducted at 7 sites in the US. Participants included consecutive older adults with COVID-19 presenting to the ED on or after March 13, 2020. Exposure: COVID-19 was diagnosed by positive nasal swab for severe acute respiratory syndrome coronavirus 2 (99% of cases) or classic radiological findings (1% of cases). Main outcomes and measures: The primary outcome was delirium as identified from the medical record according to a validated record review approach. Results: A total of 817 older patients with COVID-19 were included, of whom 386 (47%) were male, 493 (62%) were White, 215 (27%) were Black, and 54 (7%) were Hispanic or Latinx. The mean (SD) age of patients was 77.7 (8.2) years. Of included patients, 226 (28%) had delirium at presentation, and delirium was the sixth most common of all presenting symptoms and signs. Among the patients with delirium, 37 (16%) had delirium as a primary symptom and 84 (37%) had no typical COVID-19 symptoms or signs, such as fever or shortness of breath. Factors associated with delirium were age older than 75 years (adjusted relative risk [aRR], 1.51; 95% CI, 1.17-1.95), living in a nursing home or assisted living (aRR, 1.23; 95% CI, 0.98-1.55), prior use of psychoactive medication (aRR, 1.42; 95% CI, 1.11-1.81), vision impairment (aRR, 1.98; 95% CI, 1.54-2.54), hearing impairment (aRR, 1.10; 95% CI 0.78-1.55), stroke (aRR, 1.47; 95% CI, 1.15-1.88), and Parkinson disease (aRR, 1.88; 95% CI, 1.30-2.58). Delirium was associated with intensive care unit stay (aRR, 1.67; 95% CI, 1.30-2.15) and death (aRR, 1.24; 95% CI, 1.00-1.55). Conclusions and relevance: In this cohort study of 817 older adults with COVID-19 presenting to US emergency departments, delirium was common and often was seen without other typical symptoms or signs. In addition, delirium was associated with poor hospital outcomes and death. These findings suggest the clinical importance of including delirium on checklists of presenting signs and symptoms of COVID-19 that guide screening, testing, and evaluation.
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Substance Use as a Mediator of the Association Between Demographics, Suicide Attempt History, and Future Suicide Attempts in Emergency Department PatientsBACKGROUND: Identification of factors that predict and protect against attempted suicide are critical for the development of effective suicide prevention and intervention programs. AIMS: To examine whether substance use mediates the association between demographic characteristics, suicide attempt history, and reports of a suicide attempt within 12 months after screening positive for active suicidal ideation or behavior during the index emergency department (ED) visit. METHOD: Data were collected during the first two phases of the Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE) study. Data collection included baseline interview; 6- and 12-month chart reviews; and 6-, 12-, 24-, 36-, and 52-week telephone follow-up assessments. Structural equation modeling was used. All p values were two-tailed, with p < .05 considered statistically significant. RESULTS: Among the 874 subjects, 195 (22%) reported a suicide attempt within 12 months after the index ED visit. Of participants reporting a suicide attempt, 59% were < 40 years old, 59% female, and 76% non-Hispanic White. Associations between race, sex, and suicide attempt 12 months after the index ED visit may be mediated by a combination of alcohol misuse and cocaine use. CONCLUSION: Findings from the mediation analyses provide insight into the impact of substance use on future suicide attempts in various sociodemographic groups.

