Bibliographic citations
González, V., Garcia, H. (2021). Validación de la aplicación del software de Medscape para identificar interacciones medicamentosas en pacientes del servicio de medicina del Hospital Regional de Loreto, 2019 [Universidad Nacional de la Amazonía Peruana]. https://hdl.handle.net/20.500.12737/7411
González, V., Garcia, H. Validación de la aplicación del software de Medscape para identificar interacciones medicamentosas en pacientes del servicio de medicina del Hospital Regional de Loreto, 2019 []. PE: Universidad Nacional de la Amazonía Peruana; 2021. https://hdl.handle.net/20.500.12737/7411
@misc{renati/1733559,
title = "Validación de la aplicación del software de Medscape para identificar interacciones medicamentosas en pacientes del servicio de medicina del Hospital Regional de Loreto, 2019",
author = "Garcia Vargas, Hilexia Corina",
publisher = "Universidad Nacional de la Amazonía Peruana",
year = "2021"
}
Drug interactions are considered a problem that could have serious consequences. Hospital admission, death, disability, organ failure, and congenital anomalies can be caused by drug interactions. For this reason, the present work aims to validate the Medscape software for the identification of drug interactions in hospitalized patients of the medicine service of the Regional Hospital of Loreto during the year 2019. For this, a retrospective study was designed in a sample of 90 patients. The Medscape software had a sensitivity of 79.07%, specificity of 94.59%, a positive predictive value of 94.44%, and a negative predictive value of 79.55%. It was determined that 57.78% of patients had drug interactions, 150 IDD drug interactions were identified, the most frequent being significant or moderate (74%)> minor or unlikely (16%)> severe or major (10%). In addition, the group of drugs with the most IDD were diuretics> antihistamines> NSAIDs> others, the most frequent drug pair being dimenhydrinate + tramadol with 6.7%, followed by furosemide + losartan and omeprazole + losartan each with 3.3% and they are mostly unique pairs. The software has a high sensitivity, specificity, positive predictive value, and negative predictive value; but the evaluation of the real possibility of IDD is at the discretion of the specialized pharmaceutical chemist who accompanies the treating physician.
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