Clinical reasoning in emergency medical technicians and its compliance with the illness script theory: A pilot study

Emergency medical technicians (EMTs) play a pivotal role in the management and treatment chain of emergency patients and their health outcomes. Knowing the clinical reasoning pattern in prehospital procedures is of particular importance that can help to develop a correct clinical decision-making process in this group. Therefore, this study aimed to clarify the clinical reasoning in EMTs and evaluate its compliance with the "illness script" theory.

This descriptive-analytical study was conducted in 2021 at Hormozgan University of Medical Sciences (HUMS) by involving EMTs in two groups of experts and novices. To collect and analyze participants' mental script-based information, the "think aloud" method was used. In the content analysis of extracted protocols, two main steps were considered: 1) preparing a suitable map to compare the protocol with the base pattern and 2) quantifying the relationship between the protocol and the base pattern. Statistical Package for the Social Sciences (SPSS)-21 software, the Shapiro-Wilk test, and the independent t-test were used for analyzing quantitative data.

After exploring the concordance of the clinical reasoning of EMTs with the base pattern, results showed that the components of Enabling condition and Management were consistent with the illness script strategy. Pathophysiology and Diagnosis components did not conform to the base pattern. Regarding Signs and Symptoms, these were significantly different from the classic pattern of illness script. A new component called Contextual insight was suggested for this pattern. Generally, on comparing the clinical script content of experts and novices, only two components of Pathophysiology and Diagnosis did not show any significant difference (P > 0.05) between these two groups.

Results of evaluating the clinical reasoning of the under-study groups showed that in some components of the pattern, they practiced as in other medical groups, but in relation to some components, this was not the case. It is due to the different nature of the prehospital conditions. Also, there is a need to add new components to the base model, which should be considered in distinguishing between expert and novice EMTs.