Titre:	Epidemiological surveillance system on foodborne diseases in Brazil after 10-years of its implementation : completeness evaluation
Auteur(s):	Draeger, Cainara Lins Akutsu, Rita de Cássia Coelho de Almeida Araújo, Wilma Maria Coelho Silva, Izabel Cristina Rodrigues da Botelho, Raquel Braz Assunção Zandonadi, Renata Puppin
metadata.dc.identifier.orcid:	https://orcid.org/0000-0003-0699-7617 https://orcid.org/0000-0002-6836-3583 https://orcid.org/0000-0002-0369-287X https://orcid.org/0000-0003-0370-3089
Assunto::	Vigilância epidemiológica Doenças transmitidas por alimentos Saúde Sistemas de recuperação da informação - saúde pública
Date de publication:	17-oct-2018
Editeur:	MDPI
Référence bibliographique:	DRAEGER, Cainara Lins et al. Epidemiological surveillance system on foodborne diseases in Brazil after 10-years of its implementation: completeness evaluation. International Journal of Environmental Research and Public Health, v. 15, 2284, 2018. DOI: https://doi.org/10.3390/ijerph15102284. Disponível em: https://www.mdpi.com/1660-4601/15/10/2284. Acesso em: 07 fev. 2020.
Abstract:	This study aimed to evaluate the data quality of the Brazilian Epidemiological Surveillance System on Foodborne Diseases (VE-DTA) through the evaluation of the completeness of the record after 10-years of its implementation. The study evaluated the measurement of completeness by quantifying ignored, incomplete or blank responses of the data items filled. The evaluation used the percentage of completion of these items regarding the total number of notifications registered in the system. We organized the results according to the general Category of completeness of the database, by year of notification and region of occurrence. We also evaluated the overall completeness percentages of the database and the completeness levels according to the degree of recommendation of completion of each variable (mandatory, essential, and complementary) by the VE-DTA manual. The system presented 7037 outbreaks of foodborne diseases. According to the completeness classification, the database presented general classification as Category 1 since it has 82.1% (n = 5.777) of variables with the level of completion up to 75.1%. We observed that 8.6% of the database was classified as category 2; 9.2% as category 3 and 0.1% as category 4. The improvement on database quality regarding completeness can positively impact on public health and public policies, reducing the number of FBDs deaths.
Licença::	© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
DOI:	https://doi.org/10.3390/ijerph15102284
Collection(s) :	Artigos publicados em periódicos e afins

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