Implementation of an Education Module to Improve Emergency Medical Service Provider Accuracy and Confidence in Trauma Triage.

INTRODUCTION: Prehospital triage is critical to ensure timely activation of trauma center resources. Undertriage (UT) results in higher morbidity and mortality. To minimize this risk, the American College of Surgeons Committee on Trauma recommends trauma centers aim for a UT rate below 5%. Our center has a 3-tiered triage system aimed at optimizing resource allocation. We hypothesized that a trauma triage criteria educational module (TCEM) would 1) improve emergency medical services (EMSs) provider confidence and accuracy in triage and 2) improve our UT rate. METHODS: From July to November 2022, the TCEM was presented to 8 local EMS agencies who transport patients to our Level 1 trauma center. Preclass and postclass surveys assessed EMS provider triage confidence using a Likert scale 1-5. Validated trauma scenario questions were used to measure triage accuracy. The UT rate was compared between January-May 2022 (pre-TCEM) to January-May 2023 (post-TCEM) using trauma registry data. Data were analyzed using paired Wilcoxon signed rank and t-tests. RESULTS: 72 prehospital providers participated in TCEM, most were Caucasian (65.3%), non-Hispanic (84.7%), males (77.8%) with emergency medical technician-basic certifications (90.3%). There was a significant increase in triage confidence from pre-TCEM to post-TCEM (2 versus 5; P < 0.001) and accuracy (23.2% versus 88.9%; P < 0.001). Regression analysis did not indicate a significant difference in confidence or accuracy based on years of experience, paid or volunteer provider status, or transport volume per week. The UT rate remained stable after TCEM initiation (2.3% versus 2.0%; P < 0.669). CONCLUSIONS: This novel community based educational program demonstrated improvements in EMS provider confidence and accuracy regarding prehospital trauma triage. Outreach programs like these are often well received by EMS, and implementation is highly reproducible at other centers.

A low proportion of undertriage validates the new West coast system for triage-Paediatric.

AIM: There is a lack of studies on paediatric triage systems. This study aimed to evaluate patient safety of the Gothenburg-developed paediatric triage system West Coast System for Triage-Paediatric (WEST-P). METHOD: This study was performed at the paediatric emergency department in Gothenburg, Sweden, October 2020 to April 2021. Included patients were double-triaged with the WEST-P, and the established Rapid Emergency Triage and Treatment System-Paediatrics (RETTS-p). We compared the level of urgency between both systems to identify potentially undertriaged patients. Also, we assessed the patient safety according to clinical assessment at presentation, and pre-defined criteria. RESULTS: This study included 2290 (23%) of triaged patients (44% girls, median age: 5.0 years) during the study period. A higher number of patients triaged to low urgency in WEST-P compared to RETTS-p (p < 0.0001) was observed, and 497 cases with low WEST-P and high RETTS-p urgencies identified. Of these, 29 had a clinical assessment indicating high urgency. After patient safety assessment, seven (0.4%) were determined undertriaged by the new triage system WEST-P. CONCLUSION: Our findings demonstrate a low risk of undertriage in the new WEST-P. Thus, the WEST-P has a high degree of patient safety when used in a paediatric emergency department.

Delays in treatment and disposition attributable to undertriage of pediatric emergency medicine patients.

BACKGROUND: Triage, the initial assessment and sorting of patients in the Emergency Department (ED), determines priority of evaluation and treatment. Little is known about the impact of undertriage, the underestimation of disease severity at triage, on clinical care in pediatric ED patients. We evaluate the impact of undertriage on time to disposition and treatment decisions in pediatric ED patients. METHODS: This was a case control study of ED visits for patients <22 years of age, with an assigned Emergency Severity Index (ESI) score of 4 or 5, and associated hospital admission, nebulized treatment, supplemental oxygen, and/or intravenous (IV) line placement, between January 1, 2018, to June 30, 2022. Controls were sampled from a pool of patient visits with an ESI score of 3, matched by intervention, disposition, and date and hour of arrival. Primary outcome measures were time to order of intervention (nebulized treatment, oxygen administration, or IV placement) and time to disposition decision. A secondary outcome measure was return visits requiring admission or emergency intervention within 14 days of the index visit. Continuous variables (time to orders) were analyzed using Wilcoxon rank sum test and dichotomous outcomes (return visits) were compared using odds ratios with 95% confidence intervals. Analysis was performed with Python v3.10. RESULTS: The final analysis included 7245 undertriaged patients. Undertriaged patients had longer times to orders for nebulized treatments, (p < 0.001) IV placement, (p < 0.001) and admission (p < 0.001) when compared to controls. There were no significant differences in time to supplemental oxygen delivery and time to discharge compared to controls. Undertriaged patients were more likely to experience a return visit requiring admission or emergency intervention (OR 3.74, 95% CI 3.32,4.22). CONCLUSIONS: Undertriage in the pediatric ED is associated with delays in care and disposition decisions and increases likelihood of return visits.

Five Level Triage vs. Four Level Triage in a Quaternary Emergency Department: National Analysis on Waiting Time, Validity, and Crowding-The CREONTE (Crowding and RE-Organization National TriagE) Study Group.

Background and Objectives: Triage systems help provide the right care at the right time for patients presenting to emergency departments (EDs). Triage systems are generally used to subdivide patients into three to five categories according to the system used, and their performance must be carefully monitored to ensure the best care for patients. Materials and Methods: We examined ED accesses in the context of 4-level (4LT) and 5-level triage systems (5LT), implemented from 1 January 2014 to 31 December 2020. This study assessed the effects of a 5LT on wait times and under-triage (UT) and over-triage (OT). We also examined how 5LT and 4LT systems reflected actual patient acuity by correlating triage codes with severity codes at discharge. Other outcomes included the impact of crowding indices and 5LT system function during the COVID-19 pandemic in the study populations. Results: We evaluated 423,257 ED presentations. Visits to the ED by more fragile and seriously ill individuals increased, with a progressive increase in crowding. The length of stay (LOS), exit block, boarding, and processing times increased, reflecting a net raise in throughput and output factors, with a consequent lengthening of wait times. The decreased UT trend was observed after implementing the 5LT system. Conversely, a slight rise in OT was reported, although this did not affect the medium-high-intensity care area. Conclusions: Introducing a 5LT improved ED performance and patient care.

Undertriage of Geriatric Trauma Patients in Florida.

INTRODUCTION: Elderly undertriage rates are estimated up to 55% in the United States. This study examined risk factors for undertriage among hospitalized trauma patients in a state with high volumes of geriatric trauma patients. MATERIALS AND METHODS: This is a population-based retrospective cohort study of 62,557 patients admitted to Florida hospitals between 2016 and 2018 from the Agency for Healthcare Administration database. Severely injured trauma patients were defined by American College of Surgeons definitions and an International Classification of Disease Injury Severity Score <0.85. Undertriage was defined as definitive care of these severely injured patients at any Florida hospital other than a state-designated trauma center (TC). Univariate analyses were used to identify risk factors associated with inpatient mortality and undertriage. Multiple variable regression was used to estimate risk-adjusted odds of mortality after admission to either a designated or nondesignated TC. RESULTS: Undertriaged patients were more likely to have isolated traumatic brain injuries, lower International Classification of Disease Injury Severity Scores, multiple comorbidities, and older age. Trauma patients aged 65 and older were more than twice as likely to be undertriaged (34% versus 15.7%, P < 0.0001). Undertriaged patients of all ages were also more likely to suffer from pneumonia, urinary tract infection, arrhythmias, and sepsis. After risk adjustment, severely injured trauma patients admitted to non-TC were also more likely to be at risk for mortality (adjusted odds ratio, 1.27; 95% confidence interval, 1.17-1.38). CONCLUSIONS: Age and multiple comorbidities are significant predictors of mortality among undertriage of trauma patients. As a result, trauma triage guidelines should account for high-risk geriatric trauma patients who would benefit from definitive treatment at designated TCs.

Trauma triage criteria as predictors of severe injury - a Swedish multicenter cohort study.

BACKGROUND: Adequate performance of trauma team activation (TTA) criteria is important in order to accurately triage trauma patients. The Swedish National Trauma Triage Criteria (SNTTC) consists of 29 criteria that trigger either a Trauma Alert, the highest level of TTA, or a Trauma Response. This study aimed to evaluate the SNTTC and its accuracy in predicting a severely injured patient in a multicenter setting. METHODS: A cohort study in Sweden involving six trauma receiving hospitals. Data was collected from the Swedish Trauma Registry. Some 626 patients were analyzed with regard to the specific criteria used to initiate the TTA, injury severity with New Injury Severity Score (NISS) and emergency interventions. Sensitivity, specificity, positive predictive value (PPV) and positive likelihood ratio (LR+) of the criteria were calculated, as well as undertriage and overtriage. RESULTS: All 29 criteria of SNTTC had a sensitivity > 80% for identifying a severely injured patient. The 16 Trauma Alert Criteria had a lower sensitivity of 62.6% but higher LR+ (3.5 vs all criteria 1.4), specificity (82.3 vs 39.1%) and PPV (55.4 vs 37.6%) and the highest accuracy (AUC 0.724). When using only the six physiological criteria, sensitivity (44.8%) and accuracy (AUC 0.690) decreased while LR+ (6.7), specificity (93.3%) and PPV (70.2%) improved. CONCLUSION: SNTTC is efficient in identifying severely injured patients. The current set of criteria exhibits the best sensitivity compared to other examined combinations and no additional criterion was found to improve the protocol enough to promote a change.

The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study.

BACKGROUND: Accurate prehospital trauma triage is crucial for identifying critically injured patients and determining the level of care. In the prehospital setting, time and data are often scarce, limiting the complexity of triage models. The aim of this study was to assess whether, compared with logistic regression, the advanced machine learner XGBoost (eXtreme Gradient Boosting) is associated with reduced prehospital trauma mistriage. METHODS: We conducted a simulation study based on data from the US National Trauma Data Bank (NTDB) and the Swedish Trauma Registry (SweTrau). We used categorized systolic blood pressure, respiratory rate, Glasgow Coma Scale and age as our predictors. The outcome was the difference in under- and overtriage rates between the models for different training dataset sizes. RESULTS: We used data from 813,567 patients in the NTDB and 30,577 patients in SweTrau. In SweTrau, the smallest training set of 10 events per free parameter was sufficient for model development. XGBoost achieved undertriage rates in the range of 0.314-0.324 with corresponding overtriage rates of 0.319-0.322. Logistic regression achieved undertriage rates ranging from 0.312 to 0.321 with associated overtriage rates ranging from 0.321 to 0.323. In NTDB, XGBoost required the largest training set size of 1000 events per free parameter to achieve robust results, whereas logistic regression achieved stable performance from a training set size of 25 events per free parameter. For the training set size of 1000 events per free parameter, XGBoost obtained an undertriage rate of 0.406 with an overtriage of 0.463. For logistic regression, the corresponding undertriage was 0.395 with an overtriage of 0.468. CONCLUSION: The under- and overtriage rates associated with the advanced machine learner XGBoost were similar to the rates associated with logistic regression regardless of sample size, but XGBoost required larger training sets to obtain robust results. We do not recommend using XGBoost over logistic regression in this context when predictors are few and categorical.

Factors associated with undertriage in patients classified by the need to visit a hospital by telephone triage: a retrospective cohort study.

BACKGROUND: Prehospital telephone triage stratifies patients into five categories, "need immediate hospital visit by ambulance," "need to visit a hospital within 1 hour," "need to visit a hospital within 6 hours," "need to visit a hospital within 24 hours," and "do not need a hospital visit" in Japan. However, studies on whether present and past histories cause undertriage are limited in patients triaged as need an early hospital visit. We investigated factors associated with undertriage by comparing patient assessed to be appropriately triaged with those assessed undertriaged. METHODS: We included all patients classified by telephone triage as need to visit a hospital within 1 h and 6 h who used a single after-hours house call (AHHC) medical service in Tokyo, Japan, between November 1, 2019, and November 31, 2020. After home consultation, AHHC doctors classified patients as grade 1 (treatable with over-the-counter medications), 2 (requires hospital or clinic visit), or 3 (requires ambulance transportation). Patients classified as grade 2 and 3 were defined as appropriately triaged and undertriaged, respectively. RESULTS: We identified 10,742 eligible patients triaged as need to visit a hospital within 1 h and 6 h, including 10,479 (97.6%) appropriately triaged and 263 (2.4%) undertriaged patients. Multivariable logistic regression analyses revealed patients aged 16-64, 65-74, and ≥ 75 years (adjusted odds ratio [OR], 2.40 [95% confidence interval {CI} 1.71-3.36], 8.57 [95% CI 4.83-15.2], and 14.9 [95% CI 9.65-23.0], respectively; reference patients aged < 15 years); those with diabetes mellitus (2.31 [95% CI 1.25-4.26]); those with dementia (2.32 [95% CI 1.05-5.10]); and those with a history of cerebral infarction (1.98 [95% CI 1.01-3.87]) as more likely to be undertriaged. CONCLUSIONS: We found that older adults and patients with diabetes mellitus, dementia, or a history of cerebral infarction were at risk of undertriage in patients triaged as need to visit a hospital within 1 h and 6 h, but further studies are needed to validate these findings.

Redefining the Trauma Triage Matrix: The Role of Emergent Interventions.

BACKGROUND: A tiered trauma team activation (TTA) system aims to allocate resources proportional to the patient's need based upon injury burden. The current metrics used to evaluate appropriateness of TTA are the trauma triage matrix (TTM), need for trauma intervention (NFTI), and secondary triage assessment tool (STAT). MATERIALS AND METHODS: In this retrospective study, we compared the effectiveness of the need for an emergent intervention within 6 h (NEI-6) with existing definitions. Data from the Michigan Trauma Quality Improvement Program was utilized. The dataset contains information from 31 level 1 and 2 trauma centers from 2011 to 2017. Inclusion criteria were: adult patients (≥16 y) and ISS ≥5. RESULTS: 73,818 patients were included in the study. Thirty percentage of trauma patients met criteria for STAT, 21% for NFTI, 20% for TTM, and 13% for NEI-6. NEI-6 was associated with the lowest rate of undertriage at 6.5% (STAT 22.3%, NFTI 14.0%, TTM 14.3%). NEI-6 best predicted undertriage mortality, early mortality, in-hospital mortality, and late (>60 h) mortality. Most patients who met criteria for TTM (58%), NFTI (51%), and STAT (62%) did not require emergent intervention. All four methods had similar rates of early mortality for patients who did not meet criteria (0.3%-0.5%). CONCLUSIONS: NEI-6 performs better than TTM, NFTI, and STAT in terms of undertriage, mortality and need for resource utilization. Other methods resulted in significantly more full TTAs than NEI-6 without identifying patients at risk for early mortality. NEI-6 represents a novel tool to determine trauma activation appropriateness.

Interfacility Transfer is Associated With Lower Mortality in Undertriaged Gunshot Wound Patients.

BACKGROUND: Treatment at a Level I trauma center yields better outcomes for patients with moderate-to-severe injury as compared with treatment in nontrauma centers. We examined the association between interfacility transfer to a level I or II trauma center and mortality for gunshot wound patients, among patients initially transported to a lower level or undesignated facility. MATERIALS AND METHODS: This retrospective cohort study included all patients from the National Trauma Data Bank (2010-2015) with firearm as the external cause of injury, who met CDC criteria for emergency medical services triage to a higher level (American College of Surgeons [ACS] Level II or above) trauma center. We compared outcomes between patients (a) treated in an ACS level III or below facility and not transferred versus (b) transferred to an ACS level II or above facility, adjusting for confounders using inverse probability of treatment weights. RESULTS: Of the total 62,277 patients, 10,968 (17.6%) were transferred to a level II center or above, and 51,309 (82.4%) were treated at a level III or below or undesignated center. In adjusted analysis comparing transferred versus not transferred patients, risk was lower for mortality (risk ratio [RR] 0.81, 95% confidence interval [CI] 0.70 to 0.95 P = 0.011) but similar for any complication (RR 1.02, 95% CI 0.83 to 1.25 P = 0.87) and the five most common complications. Results were consistent when accounting for data missing at random, and when including state trauma center designations in the definition of Level II or greater versus III and below. CONCLUSIONS: Our study found lower mortality but similar complication risk associated with interfacility transfer for undertriaged gunshot wound patients. This suggests that transfer to a higher level center is warranted among these patients, with improved care potentially outweighing potential harms because of transfer.

Impact of age on the discriminative ability of an emergency triage system: A cohort study.

BACKGROUND: Emergency triage systems optimize resources in emergency departments (EDs) for those who need urgent care. Five-level triage systems, such as the Canadian Triage and Acuity Scale (CTAS), have been used worldwide. We examined whether the discriminative ability of an emergency triage system varies according to age group using a patient cohort triaged with the Japan Triage and Acuity Scale (JTAS), a validated system based on the CTAS. METHODS: We conducted a cohort study of 27 120 self-presenting patients aged 16 years and older who were triaged with (JTAS) between June 2013 and May 2014 at a Japanese tertiary care hospital. Outcome measures were admission to intensive care units (ICUs) as the primary and in-hospital death as the secondary. We described the trends of the discriminative ability of JTAS using areas under the curve of the receiver operating characteristic (AUROC), sensitivity, specificity, positive predictive value, and negative predictive value of JTAS for seven age categories. RESULTS: The AUROC of JTAS for ICU admission decreased with age (maximum 0.85 to minimum 0.71), sensitivity non-significantly decreased (maximum 0.67 to minimum 0.32), and specificity declined with age (maximum 0.96 to minimum 0.88). The positive and negative predictive value increased (minimum 0.03 to maximum 0.09) and decreased (minimum 0.98 to maximum 0.99), respectively, with age. Overall misclassification increased across age groups (P < 0.001). This trend was mostly consistent with the analysis of in-hospital death. CONCLUSION: Our study suggests that the discriminative ability of an emergency triage system decreases as patient age increases, corresponding to a decrease in specificity. Undertriage may not significantly increase, but misclassification significantly increases as patient age increases.

The Age of Undertriage: Current Trauma Triage Criteria Underestimate The Role of Age and Comorbidities in Early Mortality.

BACKGROUND: National guidelines recommend that prehospital and emergency department (ED) criteria identify patients who might benefit from trauma center triage and highest-level trauma team activation. However, some patients who are seemingly "stable" in the field and do not meet the standard criteria for trauma activation still die. OBJECTIVES: The purpose of this study was to identify these at-risk patients to potentially improve triage algorithms. METHODS: Patients enrolled in the National Trauma Data Bank (2007-2012) were included. All adult blunt trauma patients that were stable in the field and upon arrival to the ED (defined as a Glasgow Coma Scale score of 13-15, a heart rate ≤120 beats/min, systolic blood pressure ≥90 mm Hg, and diastolic blood pressure ≤200 mm Hg) and did not meet the standard criteria for the highest-level trauma team activation as defined by the American College of Surgeons were included. Demographic, clinical, and injury data including comorbidities, ED vitals, and outcome were collected. Regression models were used to identify independent risk factors for mortality. RESULTS: A total of 1,003,350 patients were stable in both the field and ED. Of these 11,010 (1.1%) died, including 1785 (0.2%) who died within 24 hours of hospital admission. The mortality in patients ≥60 years of age was 2.6%, and in patients ≥60 years of age with either a cerebrovascular accident (CVA) or congestive heart failure (CHF) was 5.4%. Age ≥60 years was a significant independent predictor of early mortality (odds ratio [OR] 4.53, p < 0.001). CHF (OR 1.88, p < 0.001) and a history of stroke (OR 1.52, p < 0.001) were also significant independent predictors of mortality. CONCLUSIONS: Despite apparent evidence of both prehospital stability and stability upon arrival to the ED, patients ≥60 years of age and with a history of CHF or CVA have a significantly increased risk of early mortality after blunt trauma. These patients are at risk for subsequent clinical deterioration and should be considered for early transfer to a trauma center with highest-level activation.

Out-of-hospital and Inter-hospital Under-triage to Designated Tertiary Trauma Centers among Injured Older Adults: A 10-year Statewide Geospatial-Adjusted Analysis.

OBJECTIVE: While out-of-hospital under-triage of seriously injured older adults to tertiary trauma centers has long been acknowledged, no study has adjusted for place of injury or evaluated the extent of inter-facility under-triage. We sought to determine distance and confounder adjusted odds of treatment at a tertiary trauma center (TTC) for older adult trauma patients compared to younger trauma patients, for patients transported from the scene of injury and those transferred from a non-tertiary trauma (NTTC) center. METHODS: This was a retrospective cohort study utilizing data from a statewide trauma registry reported over a 10-year period (2005-14). The outcome of interest was treatment at an American College of Surgeons or state-designated Level I/II trauma center (TTC). The predictor variable of interest was age group (> = 55 years vs. < 55 years). Covariates of interest included patient demographics, clinical characteristics and various distance measures calculated based on the patient's injury location. RESULTS: 84 930 patients met study criteria. Of these 42% (35659) were 55 years and older with an average age of 74 years (SD, 11.6). Older adult patients were on average, injured slightly farther away from a TTC (median distance, 34 vs. 29 miles, p < 0.001). Among patients initially presenting to NTTCs, older adults were significantly more likely to be transferred to another NTTC (53% vs. 34%). After adjusting for confounders and distance measures, older adults were less likely to be treated at TTCs overall (OR = 0.54, 95% CI: 0.52-0.56), whether transported by EMS from the scene of injury (OR = 0.47, 95% CI: 0.44-0.50) or via inter-facility transfer (OR = 0.63, 95%CI: 0.59-0.68). CONCLUSIONS: Injured older adults face significant under-triage to TTCs whether by EMS from the scene of injury or via transfer from NTTCs. Adjusting for proximity of injury to a TTC does not alter these findings.

Anticoagulated Trauma Patients: A Level I Trauma Center's Response to a Growing Geriatric Population.

BACKGROUND: Injured older adults often receive delayed care in the emergency department (ED) because they do not meet criteria for trauma team activation (TTA). This is particularly dangerous for the increasing number of patients taking anticoagulant or antiplatelet (AC/AP) medication at the time of injury. OBJECTIVES: The present study examined improvements in processes of care and triage accuracy when TTA criteria include an escalated response for older anticoagulated patients. METHODS: A retrospective study was performed at a Level I trauma center. The study population (referred to as A55) included patients aged 55 years or older who were taking an AC/AP medication at the time of injury. Study periods included 11 months prior to the criteria change (Phase 1: July 2013-May 2014; n = 107) and 11 months after the change (Phase 2: July 2014-May 2015; n = 211). Differences were assessed with Kruskal-Wallis and chi-squared tests. RESULTS: More A55 patients received a full or limited TTA after criteria were revised (70% vs. 26%, p < 0.001). Undertriage was reduced from 13% to 2% (p < 0.001). The trauma center significantly decreased time to first laboratory result, time to first computed tomography scan, and total time in ED prior to admission for A55 patients arriving from the scene of injury or by private vehicle. CONCLUSION: Criteria that escalated the trauma response for A55 patients led to reductions in undertriage for anticoagulated older adults, as well as more timely mobilization of important clinical resources.

Prehospital triage of trauma patients using the Random Forest computer algorithm.

BACKGROUND: Overtriage not only wastes resources but also displaces the patient from their community and causes delay of treatment for the more seriously injured. This study aimed to validate the Random Forest computer model (RFM) as means of better triaging trauma patients to level 1 trauma centers. METHODS: Adult trauma patients with "medium activation" presenting via helicopter to a level 1 trauma center from May 2007 to May 2009 were included. The "medium activation" trauma patient is alert and hemodynamically stable on scene but has either subnormal vital signs or accumulation of risk factors that may indicate a potentially serious injury. Variables included in the RFM analysis were demographics, mechanism of injury, prehospital fluid, medications, vitals, and disposition. Statistical analysis was performed via the Random Forest algorithm to compare our institutional triage rate to rates determined by the RFM. RESULTS: A total of 1653 patients were included in this study, of which 496 were used in the testing set of the RFM. In our testing set, 33.8% of patients brought to our level 1 trauma center could have been managed at a level 3 trauma center, and 88% of patients who required a level 1 trauma center were identified correctly. In the testing set, there was an overtriage rate of 66%, whereas using the RFM, we decreased the overtriage rate to 42% (P < 0.001). There was an undertriage rate of 8.3%. The RFM predicted patient disposition with a sensitivity of 89%, specificity of 42%, negative predictive value of 92%, and positive predictive value of 34%. CONCLUSIONS: Although prospective validation is required, it appears that computer modeling potentially could be used to guide triage decisions, allowing both more accurate triage and more efficient use of the trauma system.

Characteristics of undertriaged older patients in the emergency department: Retrospective study.

BACKGROUND: Older patients are more likely to be undertriaged as they often suffer from multiple diseases and complain of non-specific symptoms. Therefore, it is necessary to identify the characteristics of undertriaged older patients in emergency departments. METHODS: This descriptive study retrospectively reviewed and analyzed the electronic medical records of older patients who visited the emergency department of a general hospital in Seoul between January and December 2019. RESULTS: Approximately 29 % (n = 4,823) of older patients who visited the emergency department during the study period were classified as Korean Triage and Acuity Scale (KTAS) level 4 or 5, and approximately 8 % (n = 397) were undertriaged. Approximately 73 % (n = 288) of patients were hospitalized after visiting the emergency department. The undertriaged older patients exhibited nervous system symptoms such as dizziness and headache (28.8 %), cardiopulmonary symptoms such as chest discomfort, palpitations, and abdominal pain (28.4 %), head trauma (12.8 %), and respiratory symptoms such as cough and dyspnea (12.5 %). CONCLUSION: Triage nurses in emergency departments should carefully triage older patients as their chief complaints can be non-specific. In particular, when older patients visit the emergency department and exhibit symptoms such as dizziness, abnormal pain, chest discomfort, palpitations, and head trauma, they are more likely to be admitted to the intensive care unit. Therefore, meticulous care for older patients showing these symptoms is essential.

Characteristics and demography of low energy fall injuries in patients > 60 years of age: a population-based analysis over a decade with focus on undertriage.

BACKGROUND: An increasing group of elderly patients is admitted after low energy falls. Several studies have shown that this patient group tends to be severely injured and is often undertriaged. METHODS: Patients > 60 years with low energy fall (< 1 m) as mechanism of injury were identified from the Stavanger University Hospital trauma registry. The study period was between 01.01.11 and 31.12.20. Patient and injury variables as well as clinical outcome were described. Undertriage was defined as patients with a major trauma, i.e., Injury Severity Score (ISS) > 15, without trauma team activation. Statistical analysis was performed using the Chi-squared test for categorical variables and the Mann-Whitney U test for continuous variables. RESULTS: Over the 10-year study period, 388 patients > 60 years with low energy fall as mechanism of injury were identified. Median age was 78 years (IQR 68-86), and 53% were males. The location of major injury was head injury in 41% of the patients, lower extremities in 19%, and thoracic injuries in 10%. Thirty-day mortality was 13%. Fifty percent were discharged to home, 31% to nursing home, 9% in hospital mortality, and the remaining 10% were transferred to other hospitals or rehabilitation facilities. Ninety patients had major trauma, and the undertriage was 48% (95% confidence interval, 38 to 58%). CONCLUSIONS: Patients aged > 60 years with low energy falls are dominated by head injuries, and the 30-day mortality is 13%. Patients with major trauma are undertriaged in half the cases mandating increased awareness of this patient group.

Evaluation of Prehospital Undertriage in Relation to Trauma Team Activation-Results from a Prospective Study in 12 Level one German Trauma Centers.

Background/Objective: This prospective, multicenter observational cohort study was carried out in 12 trauma centers in Germany and Switzerland. Its purpose was to evaluate the rate of undertriage, as well as potential consequences, and relate these with different Trauma Team Activation Protocols (TTA-Protocols), as this has not been done before in Germany. Methods: Each trauma center collected the data during a three-month period between December 2019 and February 2021. All 12 participating hospitals are certified as supra-regional trauma centers. Here, we report a subgroup analysis of undertriaged patients. Those included in the study were all consecutive adult patients (age ≥ 18 years) with acute trauma admitted to the emergency department of one of the participating hospitals by the prehospital emergency medical service (EMS) within 6 h after trauma. The data contained information on age, sex, trauma mechanism, pre- and in-hospital physiology, emergency interventions, emergency surgical interventions, intensive care unit (ICU) stay, and death within 48 h. Trauma team activation (TTA) was initiated by the emergency medical services. This should follow the national guidelines for severe trauma using established field triage criteria. We used various denominators, such as ISS, and criteria for the appropriateness of TTA to evaluate the undertriage in four groups. Results: This study included a total of 3754 patients. The average injury severity score was 5.1 points, and 7.0% of cases (n = 261) presented with an injury severity score (ISS) of 16+. TTA was initiated for a total of 974 (26%) patients. In group 1, we evaluated how successful the actual practice in the EMS was in identifying patients with ISS 16+. The undertriage rate was 15.3%, but mortality was lower in the undertriage cohort compared to those with a TTA (5% vs. 10%). In group 2, we evaluated the actual practice of EMS in terms of identifying patients meeting the appropriateness of TTA criteria; this showed a higher undertriage rate of 35.9%, but as seen in group 1, the mortality was lower (5.9% vs. 3.3%). In group 3, we showed that, if the EMS were to strictly follow guideline criteria, the rate of undertriage would be even higher (26.2%) regarding ISS 16+. Using the appropriateness of TTA criteria to define the gold standard for TTA (group 4), 764 cases (20.4%) fulfilled at least one condition for retrospective definition of TTA requirement. Conclusions: Regarding ISS 16+, the rate of undertriage in actual practice was 15.3%, but those patients did not have a higher mortality.

Effectiveness of a two-tiered trauma team activation system at a level I trauma center.

PURPOSE: Many trauma patients who are transported to our level I trauma center have minor injuries that do not require full trauma team activation (FTTA). Thus, we implemented a two-tiered TTA system categorizing patients into red and yellow code alerts, indicating FTTA and Limited TTA (LTTA) requirements, respectively. This study aimed to assess the effectiveness of this triage tool by evaluating its diagnostic parameters (sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), undertriage and overtriage) and comparing injury severity between the two groups. METHODS: A retrospective cohort study of patients admitted to a Level I trauma center. Characteristics compared between the red and yellow code groups included demographics, injury severity, treatments, and hospital length of stay (LOS). Calculating the diagnostic parameters was based on Injury Severity Score (ISS) and the need for life-saving surgery or procedures. RESULTS: Significant differences in injury severity indicators were observed between the two groups. Patients in the red code group had a higher ISS and New Injury Severity Score (NISS), a lower Glasgow Coma Score (GCS), Revised Trauma Score (RTS), and probability of survival. They had a longer hospital LOS, a higher Intensive Care Unit (ICU) admission rate and required more emergency operations. The Sensitivity of the triage tool was 85.2%, specificity was 55.6%, PPV was 74.2%, NPV was 71.5%, undertriage was 14.7%, and overtriage was 25.7%. CONCLUSION: The two-tiered TTA system effectively distinguish between patients with major trauma who need FTTA and patients with minor trauma who can be managed by LTTA.

Geriatric Population Triage: The Risk of Real-Life Over- and Under-Triage in an Overcrowded ED: 4- and 5-Level Triage Systems Compared: The CREONTE (Crowding and R E Organization National TriagE) Study.

Elderly patients, when they present to the emergency department (ED) or are admitted to the hospital, are at higher risk of adverse outcomes such as higher mortality and longer hospital stays. This is mainly due to their age and their increased fragility. In order to minimize this already increased risk, adequate triage is of foremost importance for fragile geriatric (>75 years old) patients who present to the ED. The admissions of elderly patients from 1 January 2014 to 31 December 2020 were examined, taking into consideration the presence of two different triage systems, a 4-level (4LT) and a 5-level (5LT) triage system. This study analyzes the difference in wait times and under- (UT) and over-triage (OT) in geriatric and general populations with two different triage models. Another outcome of this study was the analysis of the impact of crowding and its variables on the triage system during the COVID-19 pandemic. A total of 423,257 ED presentations were included. An increase in admissions of geriatric, more fragile, and seriously ill individuals was observed, and a progressive increase in crowding was simultaneously detected. Geriatric patients, when presenting to the emergency department, are subject to the problems of UT and OT in both a 4LT system and a 5LT system. Several indicators and variables of crowding increased, with a net increase in throughput and output factors, notably the length of stay (LOS), exit block, boarding, and processing times. This in turn led to an increase in wait times and an increase in UT in the geriatric population. It has indeed been shown that an increase in crowding results in an increased risk of UT, and this is especially true for 4LT compared to 5LT systems. When observing the pandemic period, an increase in admissions of older and more serious patients was observed. However, in the pandemic period, a general reduction in waiting times was observed, as well as an increase in crowding indices and intrahospital mortality. This study demonstrates how introducing a 5LT system enables better flow and patient care in an ED. Avoiding UT of geriatric patients, however, remains a challenge in EDs.