Análise da qualidade dos dados do sistema de informação de agravos de notificação para tuberculose no brasil nos anos de 2015 à 2019

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Universidade Federal do Espírito Santo

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Introduction: Tuberculosis (TB) is one of the most deadly infectious diseases in the world. The World Health Organization (WHO) estimates that about ¼ of the population is contaminated by Mycobacterium tuberculosis (MTB), the main cause of the disease. Tuberculosis has been a notifiable disease in Brazil since 1998. Notification data are collected at health facilities, from notification forms and the monthly patient follow-up bulletin, and processed by the Notifiable Diseases Information System (SINAN). Objective: To analyze the quality of data from the National System of Notifiable Diseases in Brazil between 2015 and 2019. Methodology: This is an evaluation study of the SINAN TB Information System, based on the guidelines of the Centers for Disease Control and Prevention of the States States (CDC), contained in the Updated guidelines for evaluating public health surveillance systems: recommendations from the guidelines working group, which comprises a series of evaluative, quantitative and qualitative attributes, referents and information systems. Results: Data from the Notifiable Diseases Information System for Tuberculosis was evaluated as inconsistent, with 48.73% of cases reported after the date of diagnosis, timely, representative, with good acceptability and despite not meeting the criteria strictly. evaluation, has satisfactory completeness. Conclusion: Although the data do not obtain the approval cut in all categories, it is possible that they are used for application in research and application of mathematical models. The present study brings original information for TB surveillance in Brazil, serving as a subsidy for managers and health workers, for joint decision-making, seeking to improve the work processes of health teams and qualify information regarding tuberculosis, contributing to for disease control.

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Tuberculose, Vigilância em saúde, Sistemas de saúde

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