CONSTRUCTION AND APPLICATION OF A COURSE ABOUT COLLECTION OF CYTOPATHOLOGICAL EXAMINATION AND IMAGES OF THE UTERINE CERVIX
Keywords: Continuing Education; Cervical Neoplasia; Primary Health Care
This study is part of an umbrella research project entitled "Artificial Intelligence in the Prediction of Cervical Cytopathological Changes in Primary Health Care", and aims to train Primary Health Care professionals to adequately perform cytopathological exams and capture macroscopic images of the cervix. The general objective is to build and implement a training course aimed at doctors and nurses from five cities in Rio Grande do Norte, using clinical simulation as the main methodology. This is a research project funded by the CNPQ, linked to the aforementioned project, and will follow several steps. In the theoretical procedures, an integrative review will be carried out to map the evidence on the knowledge and practices necessary for training in the collection of macroscopic images during the cytopathological exam. In the empirical procedures, technical-educational material will be constructed in the format of a training course. In the analytical procedures, a pilot test will be carried out with participants from a selected municipality, followed by the implementation of the course in four other municipalities. This stage will also include the evaluation of the training course based on criteria such as behavior, objectivity, simplicity, clarity, relevance, precision, variety, modality, typicality, credibility, breadth, and balance. This evaluation will be conducted through an electronic form using a Likert scale, which will allow for the identification of patterns and areas in need of improvement. It is expected that the results of this research will lead to the standardization of care protocols, improving the quality of diagnoses. Furthermore, the training of professionals in the collection of exams and images is expected to result in better outcomes for users treated in Primary Health Care.