title: [National poison information system: the challenge of the data standardization].
abstract: Human poisoning is a serious public health issue around the world. Readily available and reliable information in this field are essential to the full implementation of epidemiological and sanitary surveillance and to establish efficient and effective strategies of control. The continuous improvement of data quality and consistency % no doubt, a permanent challenge % has a key role in the definition of public policies. To assess the accuracy of Brazilian data on human poisonings, this study explores data from a network of Toxicological Information and Assistance Centers, one of the main sources of such data in Brazil. Data are consolidated by the National Poison Information System (SINITOX). Assuming that standardization is one of the main procedures that influence the data quality collected and analyzed by SINITOX, the study assesses the operations of the Centers affiliated to the SINITOX in charge to interpret and register the events reported to them and highlights the procedures used to standardize case reports. The results show an evident insufficient degree of standardization of the data received at SINITOX. We emphasize the need to design strategies to improve standardization, aiming to develop a reliable system and to minimize the harms associated to human poisoning in Brazil.
authors.affiliation: Laboratório de Pesquisa em Ciência, Tecnologia e Inovação em Saúde, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, RJ 21040-900. rabdala@icict.fiocruz.br
authors.forename: Rosane Abdala Lins
authors.initials: RA
authors.lastname: de Santana
authors.forename: Rosany
authors.initials: R
authors.lastname: Bochner
authors.forename: Maria Cristina Soares
authors.initials: MC
authors.lastname: Guimarães
mesh_terms: D001938:Brazil; D006801:Humans; D007256:Information Systems; D011039:Poison Control Centers / Q000706:statistics & numerical data*; D011041:Poisoning / Q000517:prevention & control*; D012107:Research Design / Q000592:standards*