# Realistic simulation: construction and validation of scenarios for stroke recognition in prehospital care

## TL;DR

This paper presents validated simulated scenarios for training prehospital care teams to recognize stroke, aiming to improve early detection and care.

## Contribution

The novelty lies in creating and validating realistic stroke scenarios using simulation practices and Bloom's taxonomy for prehospital education.

## Key findings

- All evaluated items of the scenarios achieved full agreement among expert judges with a mean CVI of 1.0.
- The scenarios include both typical and atypical stroke signs and are suitable for training prehospital teams in Brazil.

## Abstract

Stroke remains one of the leading causes of morbidity and mortality worldwide, requiring rapid and accurate recognition, especially in the context of prehospital care.

To construct, validate, and produce simulated scenarios for teaching and learning about the care of stroke victims in prehospital settings.

The present is a methodological, descriptive, and quantitative study involving the development of two simulated scenario scripts based on best simulation practices and Bloom's taxonomy. Validation was conducted by 11 expert judges selected according to Fehring's criteria, using an adapted instrument and the Content Validity Index (CVI), with a value of 0.90 or higher considered valid.

All evaluated items of the scripts achieved full agreement among the judges, with a mean CVI of 1.0. The scenarios incorporate both typical and atypical signs and symptoms of stroke and are applicable for training prehospital care teams.

The validated simulated scenarios have the potential to enhance the training of prehospital care professionals, promoting the early recognition of stroke across different regional contexts in Brazil.