Quality, opportunity, and treatment of data of tuberculosis and human immunodeficiency virus co-infection
DOI:
https://doi.org/10.17058/reci.v13i2.18102Keywords:
Epidemiology; Tuberculosis; HIV; Coinfection; Data Analysis; Data ManagementAbstract
Background and Objectives: The identification, evaluation, and use of methodological resources for data quality analysis is important to support planning actions of public policies for the control of tuberculosis (TB) and the co-infection TB and human immunodeficiency virus (HIV). The objective was to analyze the quality and timeliness of notification of TB and TB-HIV co-infection cases from the Notifiable Diseases Information System (SINAN - Sistema de Informação de Agravos de Notificação) in Espírito Santo State, from 2016 to 2018. Methods: This is a cross-sectional study of the quality of SINAN data using the Centers for Disease Control and Prevention (CDC) guidelines to analyze the quality and timeliness of SINAN-TB notification, with emphasis on the description of TB-HIV co-infection in Espírito Santo State, from 2016 to 2018. It considered five methodological steps that included quality analysis, standardization of records, duplicity analysis, the completeness of data through linkage with the SINAN-HIV database and anonymization of data. It obtained ethical approval under the number 4022892 on 12/05/2020. Results: The study showed that 89% of mandatory variables and 91% of essential variables showed satisfactory completeness. In TB-HIV co-infection 73% of the variables were completed, but essential variables related to TB treatment follow-up showed unsatisfactory completeness. The timeliness of reporting was considered regular. Conclusion: Improvements in work processes and the development of a specific methodological process for data treatment are necessary to qualify the information available in SINAN-TB.
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Copyright (c) 2023 Karllian Kerlen Simonelli Soares, Wilian Hiroshi Hisatugu, Fernanda Mattos de Souza , Romildo Luiz Monteiro Andrade , Ethel Leonor Noia Maciel , Thiago Nascimento do Prado, Ana Paula Rodrigues Costa
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