Development of an Adapted Model for Decision-Making to Improve Reasoning and Risk Assessment in an Emergency Team: A Prospective Simulation Study.

Medical staff is rarely trained in structured decision-making, relying instead on intuition without due consideration for the associated pros and cons. We adopted a model for decision-making to improve reasoning and risk assessment and carried out a prospective simulation study using paramedic students in a three-year training program. We conducted a training session in which participants were lectured on decision-making using the FAR-BEK model (German abbreviation for facts, alternatives, risks, competence, decision, control), physiological processes in decision-making under stress, as well as medico-legal aspects for the comprehension and justification of medical decisions. We analyzed pre- and post-training scenarios to elucidate the influence of training on decision-making. Twenty paramedic students, with a mean age of 22.0 ± 1.7 years, took part in the study. The question of whether decision aids can be applied, initially affirmed by 40% of participants, rose to 71.4% ( = 0.011) following our training. Confidence in decision-making increased on a 7-point Likert scale from 4.5 to 4.8 points ( < 0.394). The reasoning behind the decisions rose from 5.3 to 5.6 points ( < 0.081). Indication, options, and risks rose significantly, from 5.4 to 6.1 points ( = 0.045). Overall, our simulation training significantly increased the points of decision support taken into account (57.8% vs. 88.9%, < 0.001). Viewed individually, the largest increase of 180% was seen in risk assessment (33.3% vs. 93.3%, < 0.002). The second largest increase of 150% was seen in the question of one's own permissions (26.7% vs. 66.7%, < 0.066). Also, the control increased (40.0% vs. 86.7%, < 0.021). With a brief training course, both the awareness and the implementation of a structured decision-making model in paramedic students can be significantly increased. Nevertheless, no definitive conclusions can be made with respect to the implementation of real patient care. The application of structured, standardized decision-making tools may need to be further consolidated in routine medical use.