Mark X. Cicero

Pediatric disaster preparedness: best planning for the worst-case scenario

Natural and man-made disasters are unpredictable but certainly will include children as victims. Increasingly, knowledge of pediatric disaster preparedness is required of emergency and primary care practitioners. A complete pediatric disaster plan comprises the following elements: appropriate personnel and equipment, disaster- and venue-specific training, and family preparedness. Disaster preparedness exercises are crucial for training plan implementation and response evaluation. Exercise content depends on local hazard vulnerabilities and learner training needs. Postexercise evaluations follow a stepwise process that culminates in improved disaster plans. This article will review disaster planning and the design, implementation, and evaluation of pediatric disaster exercises.

Do you see what I see? Insights from using google glass for disaster telemedicine triage.

INTRODUCTION Disasters are high-stakes, low-frequency events. Telemedicine may offer a useful adjunct for paramedics performing disaster triage. The objective of this study was to determine the feasibility of telemedicine in disaster triage, and to determine whether telemedicine has an effect on the accuracy of triage or the time needed to perform triage. METHODS This is a feasibility study in which an intervention team of two paramedics used the mobile device Google Glass (Google Inc; Mountain View, California USA) to communicate with an off-site physician disaster expert. The paramedic team triaged simulated disaster victims at the triennial drill of a commercial airport. The simulated victims had preassigned expected triage levels. The physician had an audio-video interface with the paramedic team and was able to observe the victims remotely. A control team of two paramedics performed disaster triage in the usual fashion. Both teams used the SMART Triage System (TSG Associates LLP; Halifax, England), which assigns patients into Red, Yellow, Green, and Black triage categories. The paramedics were video recorded, and their time required to triage was logged. It was determined whether the intervention team and the control team varied regarding accuracy of triage. Finally, the amount of time the intervention team needed to triage patients when telemedicine was used was compared to when that team did not use telemedicine. RESULTS The two teams triaged the same 20 patients. There was no significant difference between the two groups in overall triage accuracy (85.7% for the intervention group vs 75.9% for the control group; P = .39). Two patients were triaged with telemedicine. For the intervention group, there was a significant difference in time to triage patients with telemedicine versus those without telemedicine (35.5 seconds; 95% CI, 72.5-143.5 vs 18.5 seconds; 95% CI, 13.4-23.6; P = .041). CONCLUSION There was no increase in triage accuracy when paramedics evaluating disaster victims used telemedicine, and telemedicine required more time than conventional triage. There are a number of obstacles to available technology that, if overcome, might improve the utility of telemedicine in disaster response.

Predictive value of initial Glasgow coma scale score in pediatric trauma patients.

Objective The objective of this study was to determine the predictive value of the Glasgow Coma Scale (GCS) and the Glasgow Motor Component (GMC) for overall mortality, death on arrival, and major injury and the relationship between GCS and length of stay (LOS) in the emergency department (ED) and hospital. Methods Records from the American College of Surgeons National Trauma Data Base from 2007 to 2009 were extracted. Patients 0 to 18 years old transported from a trauma scene with complete initial scene data were included. Statistical analysis, including construction of receiver-operator curves, determined the correlation between GCS, GMC, and the clinical outcomes of interest. Results There were 104,035 records with complete data for analysis, including 3946 deaths. Mean patient age was 12.6 (SD, 5.5) years. Glasgow Coma Scale was predictive of overall mortality, with area under the receiver-operator curve (AUC) of 0.946 (95% confidence interval [CI], 0.941–0.951); death on arrival, with AUC of 0.958 (95% CI, 0.953–0.963); and risk of major injury, with AUC of 0.720 (0.715–0.724). Lower GCS scores were associated with shorter ED LOS and longer hospital stays (P <0.001, analysis of variance) except GCS 3, associated with shorter hospitalizations. For predicting overall mortality, the AUC for GMC was 0.940 (95% CI, 0.935–0.945), and for predicting major injury, the AUC was 0.681 (95% CI, 0.677–0.686). Conclusions For pediatric trauma victims, the GCS is predictive of mortality and injury outcomes, as well as both ED and hospital LOS, and has excellent prognostic accuracy. The GMC has predictive value for injury and mortality that is nearly equivalent to the full GCS.

Barriers to pediatric disaster triage: a qualitative investigation.

Abstract Background. In disasters, paramedics often triage victims, including children. Little is known about obstacles paramedics face when performing pediatric disaster triage. Objective. To determine obstacles to pediatric disaster triage performance for paramedics enrolled in a simulation-based disaster curriculum. Design. We conducted a qualitative evaluation of paramedics’ self-reported obstacles to pediatric disaster triage performance. The paramedics were enrolled in a pediatric disaster triage curriculum at one of three study sites. An individually administered, semi-structured debriefing was created iteratively, and used after a 10-victim, multiple-family house fire simulation. The debriefings were audio-recorded, and transcribed. Two investigators independently analyzed the transcripts. Using grounded theory strategy, the data were analyzed via 1) immersion and coding of data, 2) clustering of codes to generate themes, and 3) theme-based generation of hypotheses. While analyzing the data, we employed peer debriefing to determine emerging codes, groups, and thematic saturation. Systematically applied data trustworthiness strategies included triangulation and member checking. Results. A total of 34 participants were debriefed, with prehospital care experience ranging from 1 to 25 years of experience. We identified several barriers to pediatric disaster triage: 1) lack of familiarity with children and their physiology, 2) challenges with triaging children with special health-care needs, 3) emotional reactions to triage situations, including a mother holding an injured/dead child, and 4) training limitations, including poor simulation fidelity. Conclusion. Paramedics report particular difficulty triaging multiple child disaster victims due to emotional obstacles, unfamiliarity with pediatric physiology, and struggles with triage rationale and efficiency.

A Better START for Low-acuity Victims: Data-driven Refinement of Mass Casualty Triage

Abstract Objective. Methods currently used to triage patients from mass casualty events have a sparse evidence basis. The objective of this project was to assess gaps of the widely used Simple Triage and Rapid Transport (START) algorithm using a large database when it is used to triage low-acuity patients. Subsequently, we developed and tested evidenced-based improvements to START. Methods. Using the National Trauma Database (NTDB), a large set of trauma victims were assigned START triage levels, which were then compared to recorded patient mortality outcomes using area under the receiver-operator curve (AUC). Subjects assigned to the “Minor/Green” level who nevertheless died prior to hospital discharge were considered mistriaged. Recursive partitioning identified factors associated with of these mistriaged patients. These factors were then used to develop candidate START models of improved triage, whose overall performance was then re-evaluated using data from the NTDB. This process of evaluating performance, identifying errors, and further adjusting candidate models was repeated iteratively. Results. The study included 322,162 subjects assigned to “Minor/Green” of which 2,046 died before hospital discharge. Age was the primary predictor of under-triage by START. Candidate models which re-assigned patients from the “Minor/Green” triage level to the “Delayed/Yellow” triage level based on age (either for patients >60 or >75), reduced mortality in the “Minor/Green” group from 0.6% to 0.1% and 0.3%, respectively. These candidate START models also showed net improvement in the AUC for predicting mortality overall and in select subgroups. Conclusion. In this research model using trauma registry data, most START under-triage errors occurred in elderly patients. Overall START accuracy was improved by placing elderly but otherwise minimally injured—mass casualty victims into a higher risk triage level. Alternatively, such patients would be candidates for closer monitoring at the scene or expedited transport ahead of other, younger “Minor/Green” victims.

Creation and Delphi-method Refinement of Pediatric Disaster Triage Simulations

Abstract Objective. There is a need for rigorously designed pediatric disaster triage (PDT) training simulations for paramedics. First, we sought to design three multiple patient incidents for EMS provider training simulations. Our second objective was to determine the appropriate interventions and triage level for each victim in each of the simulations and develop evaluation instruments for each simulation. The final objective was to ensure that each simulation and evaluation tool was free of bias toward any specific PDT strategy. Methods. We created mixed-methods disaster simulation scenarios with pediatric victims: a school shooting, a school bus crash, and a multiple-victim house fire. Standardized patients, high-fidelity manikins, and low-fidelity manikins were used to portray the victims. Each simulation had similar acuity of injuries and 10 victims. Examples include children with special health-care needs, gunshot wounds, and smoke inhalation. Checklist-based evaluation tools and behaviorally anchored global assessments of function were created for each simulation. Eight physicians and paramedics from areas with differing PDT strategies were recruited as Subject Matter Experts (SMEs) for a modified Delphi iterative critique of the simulations and evaluation tools. The modified Delphi was managed with an online survey tool. The SMEs provided an expected triage category for each patient. The target for modified Delphi consensus was ≥85%. Using Likert scales and free text, the SMEs assessed the validity of the simulations, including instances of bias toward a specific PDT strategy, clarity of learning objectives, and the correlation of the evaluation tools to the learning objectives and scenarios. Results. After two rounds of the modified Delphi, consensus for expected triage level was >85% for 28 of 30 victims, with the remaining two achieving >85% consensus after three Delphi iterations. To achieve consensus, we amended 11 instances of bias toward a specific PDT strategy and corrected 10 instances of noncorrelation between evaluations and simulation. Conclusions. The modified Delphi process, used to derive novel PDT simulation and evaluation tools, yielded a high degree of consensus among the SMEs, and eliminated biases toward specific PDT strategies in the evaluations. The simulations and evaluation tools may now be tested for reliability and validity as part of a prehospital PDT curriculum.

Pediatric Disaster Triage: Multiple Simulation Curriculum Improves Prehospital Care Providers' Assessment Skills

ABSTRACT Objective: Paramedics and emergency medical technicians (EMTs) triage pediatric disaster victims infrequently. The objective of this study was to measure the effect of a multiple-patient, multiple-simulation curriculum on accuracy of pediatric disaster triage (PDT). Methods: Paramedics, paramedic students, and EMTs from three sites were enrolled. Triage accuracy was measured three times (Time 0, Time 1 [two weeks later], and Time 2 [6 months later]) during a disaster simulation, in which high and low fidelity manikins and actors portrayed 10 victims. Accuracy was determined by participant triage decision concordance with predetermined expected triage level (RED [Immediate], YELLOW [Delayed], GREEN [Ambulatory], BLACK [Deceased]) for each victim. Between Time 0 and Time 1, participants completed an interactive online module, and after each simulation there was an individual debriefing. Associations between participant level of training, years of experience, and enrollment site were determined, as were instances of the most dangerous mistriage, when RED and YELLOW victims were triaged BLACK. Results: The study enrolled 331 participants, and the analysis included 261 (78.9%) participants who completed the study, 123 from the Connecticut site, 83 from Rhode Island, and 55 from Massachusetts. Triage accuracy improved significantly from Time 0 to Time 1, after the educational interventions (first simulation with debriefing, and an interactive online module), with a median 10% overall improvement (p < 0.001). Subgroup analyses showed between Time 0 and Time 1, paramedics and paramedic students improved more than EMTs (p = 0.002). Analysis of triage accuracy showed greatest improvement in overall accuracy for YELLOW triage patients (Time 0 50% accurate, Time1 100%), followed by RED patients (Time 0 80%, Time 1 100%). There was no significant difference in accuracy between Time 1 and Time 2 (p = 0.073). Conclusion: This study shows that the multiple-victim, multiple-simulation curriculum yields a durable 10% improvement in simulated triage accuracy. Future iterations of the curriculum can target greater improvements in EMT triage accuracy.

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

INTRODUCTION Multiple 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/Problem Medical 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. METHODS The 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. RESULTS Thirty-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. CONCLUSION While 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.

Accuracy, Efficiency, and Inappropriate Actions Using JumpSTART Triage in MCI Simulations

INTRODUCTION Using the pediatric version of the Simple Triage and Rapid Treatment (JumpSTART) algorithm for the triage of pediatric patients in a mass-casualty incident (MCI) requires assessing the results of each step and determining whether to move to the next appropriate action. Inappropriate application can lead to performance of unnecessary actions or failure to perform necessary actions. Hypothesis/Problem To report overall accuracy and time required for triage, and to assess if the performance of unnecessary steps, or failure to perform required steps, in the triage algorithm was associated with inaccuracy of triage designation or increased time to reach a triage decision. METHODS Medical students participated in an MCI drill in which they triaged both live actors portraying patients and computer-based simulated patients to the four triage levels: minor, delayed, immediate, and expectant. Their performance was timed and compared to intended triage designations and a priori determined critical actions. RESULTS Thirty-three students completed 363 scenarios. The overall accuracy was 85.7% and overall mean time to assign a triage designation was 70.4 seconds, with decreasing times as triage acuity level decreased. In over one-half of cases, the student omitted at least one action and/or performed at least one action that was not required. Each unnecessary action increased time to triage by a mean of 8.4 seconds and each omitted action increased time to triage by a mean of 5.5 seconds. Discussion Increasing triage level, performance of inappropriate actions, and omission of recommended actions were all associated with increasing time to perform triage.

Pediatric Disaster Triage System Utilization Across the United States.

Objectives The study goal was to determine which pediatric disaster triage (PDT) systems are used in US states/territories and whether there is standardization to their use. Secondary goals were to understand user satisfaction with each system, user preferences, and the nature and magnitude of incidents for which the systems are activated. Methods A survey was developed regarding PDT systems used in each state/territory, satisfaction with those used, preference for specific systems, and type and magnitude of incidents prompting system activation. The survey was distributed to emergency medical services for children leads in each state/territory. Results Eighty-six percent of states/territories responded. Eighty-eight percent of respondents used some formal PDT system, 50% of whom reported utilization of multiple systems. JumpSTART was most commonly used, most often in conjunction with other systems. Of formal systems, JumpSTART has been in use the longest. JumpSTART was also preferred by 71% of those stating a preference; it tied with Smart for median satisfaction level. Although types of incidents prompting system activation was similar across responding states/territories, number of patients prompting activation varied from 1 to 3 to greater than 20, median range of 4 to 7. Conclusions Most states/territories use some formal PDT system; few have 1 standardized approach. JumpSTART is predominantly used and is preferred by most respondents. With all systems, there is marked variation in number of patients prompting activation although the reported nature of incidents prompting activation is similar.