Eventos adversos pós-vacinação em gestantes de Minas Gerais

• Autor(a) principal: Silveira, Isabela Oliveira da
• Data de Publicação: 2021
• Outros Autores: Silva, Thales Philipe Rodrigues da, Luvisaro, Bianca Maria Oliveira, Silva, Roberta Barros da, Gusmão, Josianne Dias, Vimieiro, Aline Mendes, Oliveira, Valéria Conceição de, Souza, Karina Cristina Rouwe de, Faria, Ana Paula Vieira, Matozinhos, Fernanda Penido
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: Revista de Saúde Pública
• Texto Completo: https://www.revistas.usp.br/rsp/article/view/186537
• topic: Vacinação, efeitos adversos; Gestantes; Epidemiologia; Sistemas de informação; Vaccination, adverse effects; Pregnant women; Epidemiology; Information systems

OBJECTIVE: To analyze the distribution of adverse events following immunization (AEFI) in pregnant women in the state of Minas Gerais, between 2015 and 2019. METHODS: This is an epidemiological, descriptive study conducted with AEFI data from 2015 to 2019, recorded in the Adverse Events Surveillance Information System, in the state of Minas Gerais (MG), Brazil. A total of 670 AEFI were analyzed in pregnant women. The estimates were presented in proportions, according to the year of occurrence, health macro-region of Minas Gerais and immunobiological administered. RESULTS: The year in which there were the most records was 2017 (36.8%). Among the 14 macro-regions, the ones with the lowest and highest number of records were the Vale do Jequitinhonha (0.5%) and Center (31.8%), respectively. The vaccines contraindicated during pregnancy represented 27.6% of the total notifications. The total of 69.5% of the cases were considered immunization errors. In 75.9% of the records, the variable of medical care was ignored, and in 73.7% of the cases no information on the evolution was presented. CONCLUSION: This study shows the need for continuing education for the multidisciplinary team, in order to reduce cases of AEFI and ensure the adequate completion of notifications by health professionals.