Tabletop Application of SALT Triage to 10, 100, and 1000 Pediatric Victims

2020 ◽  
Vol 35 (2) ◽  
pp. 165-169
Author(s):  
Nicholas McGlynn ◽  
Ilene Claudius ◽  
Amy H. Kaji ◽  
Emilia H. Fisher ◽  
Alaa Shaban ◽  
...  
Keyword(s):  
Pediatric Patients ◽  
Pediatric Trauma ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Trauma Patients ◽  
Kappa Test ◽  
Life Saving ◽  
Number Of Patients ◽  
Level 1 ◽  
Level 1 Trauma Center

AbstractIntroduction:The Sort, Access, Life-saving interventions, Treatment and/or Triage (SALT) mass-casualty incident (MCI) algorithm is unique in that it includes two subjective questions during the triage process: “Is the victim likely to survive given the resources?” and “Is the injury minor?”Hypothesis/Problem:Given this subjectivity, it was hypothesized that as casualties increase, the inter-rater reliability (IRR) of the tool would decline, due to an increase in the number of patients triaged as Minor and Expectant.Methods:A pre-collected dataset of pediatric trauma patients age <14 years from a single Level 1 trauma center was used to generate “patients.” Three trained raters triaged each patient using SALT as if they were in each of the following scenarios: 10, 100, and 1,000 victim MCIs. Cohen’s kappa test was used to evaluate IRR between the raters in each of the scenarios.Results:A total of 247 patients were available for triage. The kappas were consistently “poor” to “fair:” 0.37 to 0.59 in the 10-victim scenario; 0.13 to 0.36 in the 100-victim scenario; and 0.05 to 0.36 in the 1,000-victim scenario. There was an increasing percentage of subjects triaged Minor as the number of estimated victims increased: 27.8% increase from 10- to 100-victim scenario and 7.0% increase from 100- to 1,000-victim scenario. Expectant triage categorization of patients remained stable as victim numbers increased.Conclusion:Overall, SALT demonstrated poor IRR in this study of increasing casualty counts while triaging pediatric patients. Increased casualty counts in the scenarios did lead to increased Minor but not Expectant categorizations.

Primary Triage, Evacuation Priorities, and Rapid Primary Distribution between Adjacent Hospitals—Lessons Learned from a Suicide Bomber Attack in Downtown Tel-Aviv

2008 ◽  
Vol 23 (4) ◽  
pp. 337-341 ◽  
Author(s):  
Moshe Pinkert ◽  
Ofer Lehavi ◽  
Odeda Benin Goren ◽  
Yaron Raiter ◽  
Ari Shamis ◽  
...  
Keyword(s):  
Trauma Center ◽  
Medical Center ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Severely Injured ◽  
Tel Aviv ◽  
Medical Response ◽  
Level 1 ◽  
Level 1 Trauma Center ◽  
Primary Triage

AbstractIntroduction:Terrorist attacks have occurred in Tel-Aviv that have caused mass-casualties.The objective of this study was to draw lessons from the medical response to an event that occurred on 19 January 2006, near the central bus station, Tel-Aviv, Israel. The lessons pertain to the management of primary triage, evacuation priorities, and rapid primary distribution between adjacent hospitals and the operational mode of the participating hospitals during the event.Methods:Data were collected in formal debriefings both during and after the event. Data were analyzed to learn about medical response components, interactions, and main outcomes. The event is described according to Disastrous Incidents Systematic AnalysiS Through—Components, Interactions and Results (DISAST-CIR) methodology.Results:A total of 38 wounded were evacuated from the scene, including one severely injured, two moderately injured, and 35 mildly injured. The severe casualty was the first to be evacuated 14 minutes after the explosion. All of the casualties were evacuated from the scene within 29 minutes. Patients were distributed between three adjacent hospitals including one non-Level-1 Trauma Center that received mild casualties. Twenty were evacuated to the nearby, Level-1 Sourasky Medical Center, including the only severely injured patient. Nine mildly injured patients were evacuated to the Sheba Medical Center and nine to Wolfson Hospital, a non-Level-1 Trauma Center hospital. All the receiving hospitals were operated according to the mass-casualty incident doctrine.Conclusions:When a mass-casualty incident occurs in the vicinity of more than one hospital, primary triage, evacuation priority decision-making, and rapid distribution of casualties between all of the adjacent hospitals enables efficient and effective containment of the event.

A Handoff Protocol for Pediatric Trauma Patients at a Rural Level One Trauma Center Reduces Length of Stay

2020 ◽  
pp. 000313482095633
Author(s):  
Evelyn Coile ◽  
Kathryn Bailey ◽  
Eric J. Clayton ◽  
Tatiana R. Eversley Kelso ◽  
Heather MacNew
Keyword(s):  
Length Of Stay ◽  
Trauma Center ◽  
Pediatric Trauma ◽  
Trauma Patients ◽  
Before And After ◽  
Ancillary Staff ◽  
Trauma Triage ◽  
Level 1 ◽  
Trauma Surgeons ◽  
Level 1 Trauma Center

Background The management of the pediatric trauma patient is variable among trauma centers. In some institutions, the trauma surgeon maintains control of the patient throughout the hospital stay, while others transfer to a pediatric specialist after the initial evaluation and resuscitation period. We hypothesized that handoff to the pediatric surgeon would decrease the length of stay by more efficient coordination with pediatric subspecialists and ancillary staff. Methods A retrospective review from October 2014 to October 2018 was conducted at our rural level 1 trauma center analyzing the length of stay across all demographics and trauma triage levels before and after institution of a handoff protocol from adult specialized trauma surgeons to pediatric surgeons within a 24-hour window. Further analysis included emergency department (ED) disposition to include the effect of handoff on the length of stay in the setting of a higher post-ED acuity, that is, disposition of monitored beds. Results 1267 patient charts were analyzed and the mean length of stay was reduced by .38 days ( t = 5.92, P < .0005) across all demographics, trauma triage levels, post-ED dispositions, and mechanisms of injury after institution of our handoff protocol. Conclusion Handoff from adult specialized trauma surgeons to pediatric surgeons within a 24-hour window at a rural level 1 trauma center significantly improved the length of stay by .38 ( t = 5.92, P < .0005) among pediatric trauma patients in all demographics, trauma triage activations levels, mechanisms of injury, and post-ED dispositions acuity levels.

Emergency radiology and mass casualty incidents—report of a mass casualty incident at a level 1 trauma center

2016 ◽  
Vol 24 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Ferdia Bolster ◽  
Ken Linnau ◽  
Steve Mitchell ◽  
Eric Roberge ◽  
Quynh Nguyen ◽  
...  
Keyword(s):  
Trauma Center ◽  
Emergency Radiology ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Mass Casualty Incidents ◽  
Level 1 ◽  
Level 1 Trauma Center

Large-Scale Airmedical Transport from a Peripheral Hospital to Level-1 Trauma Centers after Remote Mass-Casualty Incidents in Israel

2009 ◽  
Vol 24 (6) ◽  
pp. 549-555 ◽  
Author(s):  
Ophir Lavon ◽  
Dan Hershko ◽  
Erez Barenboim
Keyword(s):  
Large Scale ◽  
Medical Personnel ◽  
Mass Casualty ◽  
Mass Casualty Incidents ◽  
Trauma Patients ◽  
Trauma Centers ◽  
Preparedness Plan ◽  
Peripheral Hospital ◽  
Number Of Patients ◽  
Level 1

AbstractIntroduction:Mass-casualty incidents (MCIs) result in the evacuation of many patients to the nearest medical facility. However, an overwhelming number of patients and the type and severity of injuries may demand rapid, mass airmedical transport to more advanced medical centers. This task may be challenging, particularly after a MCI in a neighboring country. The Israeli Air Force Rescue and Airmedical Evacuation Unit (RAEU) is the main executor of airmedical transport in Israel, including MCIs.Problem:The available data on airmedical transport from remote MCIs are limited. The objective of this study was to evaluate the airmedical transport from a rural hospital after two remote MCIs.Methods:The study was retrospective and reviewed descriptive records of airmedical transports.Results:The RAEU was involved in airmedical transports from a peripheral hospital shortly after two remote MCIs that occurred in the Sinai desert near the Egyptian-Israeli border. Nineteen (22.4%) and 25 (100%) of the treated trauma patients from each event were airmedically transported to Level-1 Trauma Centers in Israel within hours of the dispatch. The rapid dispatch and accumulation of medical personnel and equipment was remarkable. The airmedical surge capacity was broad and sufficient. Cooperation with local authorities and a tailored boarding procedure facilitated a quality outcome.Conclusions:The incorporation of a large-scale airmedical transport program with designated multidisciplinary protocols is an essential component to a remote disaster preparedness plan.

Comparison of Computerized Patients versus Live Moulaged Actors for a Mass-casualty Drill

2015 ◽  
Vol 30 (5) ◽  
pp. 438-442 ◽  
Author(s):  
Ilene Claudius ◽  
Amy Kaji ◽  
Genevieve Santillanes ◽  
Mark Cicero ◽  
J. Joelle Donofrio ◽  
...  
Keyword(s):  
Student Performance ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Simulated Patients ◽  
Publication Type ◽  
Multiple Modalities ◽  
Computer Based ◽  
Level 1 ◽  
Computerized Simulation ◽  
Level 1 Trauma Center

AbstractIntroductionMultiple modalities for simulating mass-casualty scenarios exist; however, the ideal modality for education and drilling of mass-casualty incident (MCI) triage is not established.Hypothesis/ProblemMedical student triage accuracy and time to triage for computer-based simulated victims and live moulaged actors using the pediatric version of the Simple Triage and Rapid Treatment (JumpSTART) mass-casualty triage tool were compared, anticipating that student performance and experience would be equivalent.MethodsThe victim scenarios were created from actual trauma records from pediatric high-mechanism trauma presenting to a participating Level 1 trauma center. The student-reported fidelity of the two modalities was also measured. Comparisons were done using nonparametric statistics and regression analysis using generalized estimating equations.ResultsThirty-three students triaged four live patients and seven computerized patients representing a spectrum of minor, immediate, delayed, and expectant victims. Of the live simulated patients, 92.4% were given accurate triage designations versus 81.8% for the computerized scenarios (P=.005). The median time to triage of live actors was 57 seconds (IQR=45-66) versus 80 seconds (IQR=58-106) for the computerized patients (P<.0001). The moulaged actors were felt to offer a more realistic encounter by 88% of the participants, with a higher associated stress level.ConclusionWhile potentially easier and more convenient to accomplish, computerized scenarios offered less fidelity than live moulaged actors for the purposes of MCI drilling. Medical students triaged live actors more accurately and more quickly than victims shown in a computerized simulation.ClaudiusI, KajiA, SantillanesG, CiceroM, DonofrioJJ, Gausche-HillM, SrinivasanS, ChangTP. Comparison of computerized patients versus live moulaged actors for a mass-casualty drill. Prehosp Disaster Med.2015; 30(5): 438–442.

Pathologic Fibrinolysis is More Common in a Rural Trauma Setting

2020 ◽  
pp. 000313482097372
Author(s):  
James M. Bardes ◽  
Daniel J. Grabo ◽  
Sijin Wen ◽  
Alison Wilson
Keyword(s):  
Trauma Team ◽  
Rural Environment ◽  
Trauma Patients ◽  
Future Studies ◽  
Factors Influencing ◽  
American College Of Surgeons ◽  
Level 1 ◽  
Transferred Patients ◽  
Prehospital Time ◽  
Level 1 Trauma Center

Introduction Fibrinolysis (lysis) has been extensively studied in trauma patients. Many studies on the distribution of lysis phenotype have been conducted in setting with short prehospital time. This study aimed to evaluate the distribution of lysis phenotypes in a population with prolonged prehospital times in a rural environment. Methods A retrospective study was performed at an American College of Surgeons-verified level 1 trauma center, serving a large rural population. Full trauma team activations from January 1, 2017 to August 31, 2018 were evaluated, and all patients with an ISS>15 analyzed. Thromboelastography was routinely performed on all participants on arrival. Lysis phenotypes were classified based on LY30 results: shutdown (≤.8%), physiologic (.9-2.9%), and hyper (>2.9%). Results 259 patients were evaluated, 134 (52%) presented direct from the scene. For scene patients, lysis distribution was 24% physiologic, 49% shutdown, and 27% hyper. Transferred patients demonstrated a reduction in physiologic lysis to 14% ( P = .03), shutdown present in 66%, and hyper in 20%. Empiric prehospital tranexamic acid was given to 18 patients, physiologic lysis was present in 6%, shutdown 72%, and hyper 22%; this increase was not statistically significant ( P = .5). Conclusion Fibrinolysis phenotypes are not consistent across all trauma populations. This study showed rural trauma patients had a significantly increased rate of pathologic lysis. This was consistent for scene and transfer patients who received care at another facility prior to arrival for definitive care. Future studies to evaluate the factors influencing these differences are warranted.

scholarly journals Characteristics of Pediatric Emergency and Risk Factors for Life-saving Interventions

2021 ◽  
Vol 8 ◽  
pp. 2333794X2199034
Author(s):  
Phatthranit Phattharapornjaroen ◽  
Yuwares Sittichanbuncha ◽  
Pongsakorn Atiksawedparit ◽  
Kittisak Sawanyawisuth
Keyword(s):  
Risk Factors ◽  
Analytical Study ◽  
Pediatric Patients ◽  
Pediatric Emergency ◽  
Limited Data ◽  
Inclusion Criteria ◽  
Resuscitation Room ◽  
Life Saving ◽  
Level 1 ◽  
Triage Level

Pediatric emergency patients are vulnerable population and require special care or interventions. Nevertheless, there is limited data on the prevalence and risk factors for life-saving interventions. This study is a retrospective analytical study. The inclusion criteria were children aged 15 years or under who were triaged as level 1 or 2 and treated at the resuscitation room. Factors associated with LSI were executed by logistic regression analysis. During the study period, there were 22 759 ER visits by 14 066 pediatric patients. Of those, 346 patients (2.46%) met the study criteria. Triage level 1 accounted for 16.18% (56 patients) with 29 patients (8.38%) with LSI. Trauma was an independent factor for LSI with adjusted odds ratio (95% CI) of 4.37 (1.49, 12.76). In conclusion, approximately 8.38% of these patients required LSI. Trauma cause was an independent predictor for LSI.

scholarly journals Identifying trauma patients with benefit from direct transportation to Level-1 trauma centers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Charlie A. Sewalt ◽  
Benjamin Y. Gravesteijn ◽  
Daan Nieboer ◽  
Ewout W. Steyerberg ◽  
Dennis Den Hartog ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Trauma Center ◽  
Trauma Patients ◽  
Trauma Centers ◽  
Absolute Benefit ◽  
Predicted Probability ◽  
Prehospital Triage ◽  
Level 1 ◽  
Level 1 Trauma Center ◽  
Level 2

Abstract Background Prehospital triage protocols typically try to select patients with Injury Severity Score (ISS) above 15 for direct transportation to a Level-1 trauma center. However, ISS does not necessarily discriminate between patients who benefit from immediate care at Level-1 trauma centers. The aim of this study was to assess which patients benefit from direct transportation to Level-1 trauma centers. Methods We used the American National Trauma Data Bank (NTDB), a retrospective observational cohort. All adult patients (ISS > 3) between 2015 and 2016 were included. Patients who were self-presenting or had isolated limb injury were excluded. We used logistic regression to assess the association of direct transportation to Level-1 trauma centers with in-hospital mortality adjusted for clinically relevant confounders. We used this model to define benefit as predicted probability of mortality associated with transportation to a non-Level-1 trauma center minus predicted probability associated with transportation to a Level-1 trauma center. We used a threshold of 1% as absolute benefit. Potential interaction terms with transportation to Level-1 trauma centers were included in a penalized logistic regression model to study which patients benefit. Results We included 388,845 trauma patients from 232 Level-1 centers and 429 Level-2/3 centers. A small beneficial effect was found for direct transportation to Level-1 trauma centers (adjusted Odds Ratio: 0.96, 95% Confidence Interval: 0.92–0.99) which disappeared when comparing Level-1 and 2 versus Level-3 trauma centers. In the risk approach, predicted benefit ranged between 0 and 1%. When allowing for interactions, 7% of the patients (n = 27,753) had more than 1% absolute benefit from direct transportation to Level-1 trauma centers. These patients had higher AIS Head and Thorax scores, lower GCS and lower SBP. A quarter of the patients with ISS > 15 were predicted to benefit from transportation to Level-1 centers (n = 26,522, 22%). Conclusions Benefit of transportation to a Level-1 trauma centers is quite heterogeneous across patients and the difference between Level-1 and Level-2 trauma centers is small. In particular, patients with head injury and signs of shock may benefit from care in a Level-1 trauma center. Future prehospital triage models should incorporate more complete risk profiles.

scholarly journals Does emergency medicine length of stay predict trauma outcomes at a Level 1 Trauma Center?

2015 ◽  
Vol 4 (5) ◽  
pp. 1 ◽  
Author(s):  
Erin Powers Kinney ◽  
Kamal Gursahani ◽  
Eric Armbrecht ◽  
Preeti Dalawari
Keyword(s):  
Length Of Stay ◽  
Trauma Center ◽  
Injury Severity ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Trauma Patients ◽  
Hospital Capacity ◽  
Significant Difference ◽  
Level 1 ◽  
Level 1 Trauma Center

Objective: Previous studies looking at emergency department (ED) crowding and delays of care on outcome measures for certain medical and surgical patients excluded trauma patients. The objectives of this study were to assess the relationship of trauma patients’ ED length of stay (EDLOS) on hospital length of stay (HLOS) and on mortality; and to examine the association of ED and hospital capacity on EDLOS.Methods: This was a retrospective database review of Level 1 and 2 trauma patients at a single site Level 1 Trauma Center in the Midwest over a one year period. Out of a sample of 1,492, there were 1,207 patients in the analysis after exclusions. The main outcome was the difference in hospital mortality by EDLOS group (short was less than 4 hours vs. long, greater than 4 hours). HLOS was compared by EDLOS group, stratified by Trauma Injury Severity Score (TRISS) category (< 0.5, 0.51-0.89, > 0.9) to describe the association between ED and hospital capacity on EDLOS.Results: There was no significant difference in mortality by EDLOS (4.8% short and 4% long, p = .5). There was no significant difference in HLOS between EDLOS, when adjusted for TRISS. ED census did not affect EDLOS (p = .59), however; EDLOS was longer when the percentage of staffed hospital beds available was lower (p < .001).Conclusions: While hospital overcrowding did increase EDLOS, there was no association between EDLOS and mortality or HLOS in leveled trauma patients at this institution.

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