Time In Emergency Department Research Articles

Implementation of the S100 Calcium-Binding Protein B Biomarker in a Clinical Setting: A Retrospective Study of Benefits, Safety, and Effectiveness

Recent years have seen the emergence of the S100 calcium-binding protein B (S100B) biomarker used in the initial management of minor traumatic brain injury (TBI) patients. S100B has been found to reduce cerebral computed tomography (CT-C) scans and was recently implemented in the Scandinavian Neurotrauma Committee (SNC) guidelines. In a clinical setup, we retrospectively investigated the use of the S100B biomarker in relation to the SNC guidelines in the respective year before and after implementation. Accordingly, minor TBI patients with the International Classification of Diseases, Tenth Revision diagnostic code of S06.0 commotio cerebri were included in 2018 (n = 786) and 2019 (n = 709) for comparison of emergency department time (EDT) and CT-Cs. In 2019, we included all patients with an S100B sample (n = 547; 348/199 male:female; median age, 52 years). We found an S100B sensitivity of 92% and negative predictive value (NPV) of 99% (cutoff, 0.10 μg/L) regardless of SNC guideline compliance. With strict SNC guideline management, sensitivity and NPV increased to 100%, even at a 0.20-μg/L cutoff that increased the specificity from 49% to 76%. After S100B implementation, we found the median EDT to significantly increase from 196 min (interquartile range [IQR] = 127-289) in 2018 to 216 min (IQR = 134.0-309.5) in 2019 (p = 0.0148), which may have resulted from poor guideline compliance (53.9%). Contrarily, the proportion of CT-C scanned patients decreased from 70% to 56.3% equal to a relative 27.5% decrease of scanned patients (p < 0.0001). Conclusively, our study supported the safe and efficient clinical use of the S100B biomarker, albeit with a minor EDT increase. S100B combination with the SNC guidelines improved clinical potential.

Effectiveness of the Rural Trauma Team Development Course for Educating Nurses and Other Health Care Providers at Rural Community Hospitals.

The study evaluates (1) health care provider perception of the Rural Trauma Team Development Course (RTTDC); (2) improvement in acute trauma emergency care knowledge; and (3) early transfer of trauma patients from rural emergency departments (EDs) to a verified trauma center. A 1-day, 8-hour RTTDC was given to 101 nurses and other health care providers from nine rural community hospitals from 2011 to 2013. RTTDC participants completed questionnaires to address objectives (1) and (2). ED and trauma registry data were queried to achieve objective (3) for assessing reduction in ED time (EDT), from patient arrival to decision to transfer and ED length of stay (LOS). The RTTDC was positively perceived by health care providers (96.3% of them completed the program). Significant improvement in 13 of the 19 knowledge items was observed in nurses. Education intervention was an independent predictor in reducing EDT by 28 minutes and 95% confidence interval (CI) [-57, -0.1] at 6 months post-RTTDC, and 29 minutes and 95% CI [-53, -6] at 12 months post-RTTDC. Similar results were observed with ED LOS. The RTTDC is well-perceived as an education program. It improves acute trauma emergency care knowledge in rural health care providers. It promotes early transfer of severely injured patients to a higher level of care.

Time spent in the emergency department and mortality rates in severely injured patients admitted to the intensive care unit: An observational study

PurposeThe aim of this study was to identify the determinants of a shorter emergency department time (EDt) in patients with severe trauma (STPs) admitted to the intensive care unit and determine whether EDt influences mortality. Patients and MethodsA prospective observational study of STPs (2005-2007) was conducted. With the variables available from the ED, 2 multiple logistic regression models (MLRM) were created: one for the factors associated with EDt less than or equal to median and the other with mortality. ResultsA total of 243 patients were included. The mean age was 43 years; 76% were male. The overall mortality rate was 20%. The median EDt was 120 minutes. The independent factors that were associated with the MLRM for an EDt of 120 minutes or less included age less than 60 years, mechanical ventilation, severe traumatic brain injury, and a trauma and injury severity score of 20 or higher. The MLRM for mortality was age greater than 60 years, mechanical ventilation, traumatic brain injury and shock. An EDt of 120 minutes or less was associated with an increased risk of death in the univariate analysis but not in the MLRM. ConclusionsPatients in the ED with indicators of high trauma severity have a reduced EDt but a higher mortality rate. Advanced age increases both mortality and EDt. With the factors included in the model, EDt was not an independent factor for mortality in STPs.

Disaster Metrics: Quantitative Benchmarking of Hospital Surge Capacity in Trauma-Related Multiple Casualty Events

Hospital surge capacity in multiple casualty events (MCE) is the core of hospital medical response, and an integral part of the total medical capacity of the community affected. To date, however, there has been no consensus regarding the definition or quantification of hospital surge capacity. The first objective of this study was to quantitatively benchmark the various components of hospital surge capacity pertaining to the care of critically and moderately injured patients in trauma-related MCE. The second objective was to illustrate the applications of those quantitative parameters in local, regional, national, and international disaster planning; in the distribution of patients to various hospitals by prehospital medical services; and in the decision-making process for ambulance diversion. A 2-step approach was adopted in the methodology of this study. First, an extensive literature search was performed, followed by mathematical modeling. Quantitative studies on hospital surge capacity for trauma injuries were used as the framework for our model. The North Atlantic Treaty Organization triage categories (T1-T4) were used in the modeling process for simplicity purposes. Hospital Acute Care Surge Capacity (HACSC) was defined as the maximum number of critical (T1) and moderate (T2) casualties a hospital can adequately care for per hour, after recruiting all possible additional medical assets. HACSC was modeled to be equal to the number of emergency department beds (#EDB), divided by the emergency department time (EDT); HACSC = #EDB/EDT. In trauma-related MCE, the EDT was quantitatively benchmarked to be 2.5 (hours). Because most of the critical and moderate casualties arrive at hospitals within a 6-hour period requiring admission (by definition), the hospital bed surge capacity must match the HACSC at 6 hours to ensure coordinated care, and it was mathematically benchmarked to be 18% of the staffed hospital bed capacity. Defining and quantitatively benchmarking the different components of hospital surge capacity is vital to hospital preparedness in MCE. Prospective studies of our mathematical model are needed to verify its applicability, generalizability, and validity.