This paper reports on an Australian experience with the MicroSim software used for the preparation of undergraduate, inter-professional paramedic nurses. The paramedic nurse course focuses on preparing graduates for practice in rural communities where there are opportunities to enhance the productivity and skill retention of the local emergency health workforce.

The students were introduced to the software during their second year of a four-year, double-degree programs to enhance their ability to conduct primary and secondary surveys and respond in a timely and clinically appropriate manner. Their responses were required to be relevant to the nursing, paramedic, and inter-professional preparation for nursing as reviewed by the course thus far. The students were assessed as individuals and teams and were invited to describe observations of their own responses and those of the broader inter-professional team.

Aggregate results will be reported. The students were highly enthusiastic about their participation and assessment, and the method continued its third year in 2009. Examples of student responses to cardiac and trauma clinical scenarios will be demonstrated as two of the most frequent presentation types to the emergency department calls to the ambulance service.

The combination of the use of interactive software and teamwork in simulations that paramedic nurses may experience in rural Victoria was highly successful in promoting confidence, competence, communication, critique, and team-building in this already high achieving group of students.

The objective of this study was to compare the operational viability and performance of the Sacco Triage Method (STM) to that of the Simple Triage and Rapid Treatment (START) protocol.

Following a 20-minute review of the mandated START protocol and a 20-minute training session of STM, parallel disaster exercises were conducted. Emergency responded used START in the morning and STM in the afternoon on a simulated building collapse involving 99 victims. Data were collected on the accuracy of patient assessment (START) and scoring (STM), the timeliness in clearing the scene, and me prioritization of patients leaving the scene.

The STM scoring was more accurate than START assessments at 91.7% and 71.0%, respectively. The time to clear the scene was 16% less using STM than START (53 minutes and 63 minutes, respectively). The 13 most seriously injured patients left the scene in the first seven ambulances using STM; while only two of the 13 most seriously injured patients left the scene in the first 13 ambulances under START, and the three most serious patients were transported by bus. Surveyed providers preferred START to STM and believed it to be more accurate, faster, and better able to identify the most serious patients.

Emergency responders did not implement START successfully Despite refresher training and 12 years of using START as their statewide protocol, tagging was inaccurate and patient prioritization was poor. In comparison, STM was implemented after 20 minutes of introductory training, was shown to be operationally viable, and outperformed START in all objectives.

The Sacco Triage Method (STM) is a mathematical model of resource-constrained triage. The objective of this presentation is to apply STM-Age, an age-augmented version of STM, to blunt trauma victims and compare it to Simple Triage and Rapid Treatment (START) and START-like protocols.

The objective of STM is to maximize the number of expected survivors given constraints on the timing and availability of resources. The STM incorporates estimates of time-dependent victim survival probabilities based on an initial assessment and expected deteriorations.

For the STM-Age application, an “RPM-Age” score (based on respiratory rate, pulse rate, best motor response, and coded age) was used to estimate survival probability. Logistic function-generated survival probability estimates for RPM-Age values were determined from 76,444 patients with blunt injuries from the Pennsylvania Trauma Outcome Study. The Delphi Method provided expert consensus on victim deterioration rates, and the model was solved using linear programming.

The STM-Age was compared to START and START-like methods with respect to process and to outcome, as measured by expected number of survivors, in simulated resource-constrained casualty incidents.

The RPM-Age was a more accurate predictor of survivability for blunt trauma than RPM, as measured by calibration and discrimination statistics. In simulations, STM-Age exhibited substantially more expected survivors than START and START-like protocols.

Resource-constrained triage is modeled precisely as an evidence-based, outcome-driven method (STM-Age) that maximizes expected survivors in consideration of resources. The STM-Age offers life-saving and operational advantages over current methods.