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Rastreadores para a busca ativa de eventos adversos a medicamentos em recém-nascidos

Overview of attention for article published in Cadernos de Saúde Pública, September 2018
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Title
Rastreadores para a busca ativa de eventos adversos a medicamentos em recém-nascidos
Published in
Cadernos de Saúde Pública, September 2018
DOI 10.1590/0102-311x00069817
Pubmed ID
Authors

Sandra de Carvalho Fabretti, Sandra Cristina Brassica, Marco Antonio Cianciarullo, Nicolina Silvana Romano-Lieber

Abstract

The study aimed to verify the application and performance of triggers for adverse drug events in hospitalized newborns. This prospective cohort study was conducted in the neonatal care units of a university hospital from March to September 2015. A list of triggers was developed for the identification of adverse drug events in this population. The list included antidote, clinical, and laboratory triggers. A total of 125 newborns who had received drugs during the hospitalization were included. Neonatal patient charts were screened to detect triggers. When a trigger was found, the patient chart was reviewed to identify possible adverse drug events. Each trigger's yield in the identification of adverse drug events was calculated and then classified according to its performance. Nine hundred and twenty-five triggers identified 208 suspected adverse drug events. The triggers' overall yield was 22.5%. The most frequently identified triggers were: drop in oxygen saturation, increased frequency of bowel movements, medications stop, and vomiting. The triggers with the best performance in the identification of adverse drug events were: increased creatinine, increased urea, necrotizing enterocolitis, prescription of flumazenil, hypercalcemia, hyperkalemia, hypernatremia, and oversedation. The triggers identified in this study can be used to track adverse drug events in similar neonatal care services, focusing on the triggers with the best performance and the lowest workload in the identification.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 6 19%
Student > Master 5 16%
Student > Bachelor 3 9%
Student > Ph. D. Student 2 6%
Other 2 6%
Other 3 9%
Unknown 11 34%
Readers by discipline Count As %
Nursing and Health Professions 8 25%
Medicine and Dentistry 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Social Sciences 1 3%
Unknown 16 50%