Automatização do eHEALS-Br com feedback personalizado e ranking dos usuários

Abstract

In the global context, several instruments are used to assess patients’ Health Literacy (HL), measuring individuals’ ability to understand and use health information to prevent misunderstandings in self-care. Currently, in the eHealth Literacy Scale (eHEALS), data collection is done manually, as pointed out by Brazilian authors and translators, which can compromise the efficiency of the process. To overcome this limitation and streamline the assessment, this study proposes automation through a computational platform based on eHEALS. In it, users receive personalized feedback, which compares their responses with aggregated survey data. This automated and equitable model can contribute to the assessment of HL, making it more agile and interactive, with greater reach and accessibility, without losing the accuracy of the original eHEALS. Innovation contributes to improving the quality of health services and strengthening the individual and collective competencies of the population.