Desenvolvimento e validação de software para caracterizar interação medicamentosa em fármacos utilizados no Sistema Único de Saúde

• Autor(a) principal: Liermann, Ana Carolina Alves S.
• Data de Publicação: 2021
• Outros Autores: Filipczak, Ana Flavia, Tomasini, Daniela Carolina, Santos, Polyana Monique dos, Wrezinski, Vanessa Bragança
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório do Centro Universitário Braz Cubas
• Texto Completo: https://repositorio.cruzeirodosul.edu.br/handle/123456789/3809
• topic: Interação medicamentosa; Software; Reações adversas; Tecnologia; CNPQ::CIENCIAS DA SAUDE::MEDICINA

Introduction: The increase in life expectancy and population senility results in the predominance of chronic diseases related to aging. In face of the large number of associated comorbidities, polypharmacy steps in and results in an increased number of drug interactions, many of which can be severe and lead to adverse clinical outcomes for the patient. Therefore, to provide more information to the healthcare professional in a quick and concise way, the use of digital media is being promoted to help both in reducing these unidentified interactions and guaranteeing more adequate prescriptions. Objective: The major objective of this work is to present a software development that approaches the possible drug interactions between medicines available by SUS (Unified Health System) besides containing information about indications, dosages, administrations, and adverse effects. The secondary objective is to validate its usage in clinical practice through the opinion of physicians working in primary attention. Methodology: A web page was developed by using tools such as Firebase, Ionic, HTML, CSS, JavaScript and Angular. The medicines were selected from Rename 2020 (National Remedy National List). Besides the software development, a validation was performed to verify the real benefit of this tool on clinical practice. The validation process was performed in a 10-day period, and in the end, a Likert Scale questionnaire was applied. Results: The website included 259 medications and found a total of 5.494 interactions. The qualitative evaluation of the software showed that most of the participants would use the app frequently, felt confident using the website and would recommend it to other colleagues. Conclusion: The validation brought positive results about performance and relevance, with high acceptance rates. The program version developed so far includes only medicines available at SUS, but in the future, there is the possibility of increasing its available list of medicaments.