Keywords: simulations, healthcare, training, international guideline
Introduction:
Training instructors to perform simulations in healthcare requires mastering a number of skills before they start working in a simulation centre. This study focuses on the evaluation of a simulation training guideline developed in the framework of the international Euveca and Transsimed projects. The guideline specifies the training needs and stresses the importance of collaboration with the quality department. It describes a training process involving different phases: theory, skills, debriefing, simulation and debriefing, with each step clearly defined.
Method:
The Kirkpatrick evaluation model was used in the study, which comprises four levels: reaction, learning, behaviour and results. The sample consists of 40 students from the Faculty of Health Sciences Maribor, which ensures the representativeness of the data.
Results:
The evaluation results showed an extremely high level of participant satisfaction. At the reaction level, the average student satisfaction score was 4.5/5, which means that 85% of the students recommended the programme to their colleagues. At the learning level, 90% of the participants confirmed that they had acquired important knowledge, and the average score for understanding key concepts was 4.3/5. In the behavioural level analysis, I found that 75% of the students reported successfully applying the skills they had learned in the clinical setting, and their confidence in performing new procedures achieved an average score of 4.0/5. At outcome level, 80% of students reported improvements in the quality of care and 70% reported higher patient satisfaction.
Conclusions:
The study provides important insights into the effectiveness of simulation training and its positive impact on clinical practice. The findings confirm that simulations not only improve students' knowledge and skills, but also contribute to better patient care outcomes. Our aim is to integrate the results of this study into further education programmes, which will further enhance the use of simulation training in healthcare.
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