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This article examines the factors associated with the notification of occupational accidents by sentinel workers' health centers in the municipality of Fortaleza in the northeast of Brazil. An analytical cross-sectional study was conducted of five sentinel workers' health centers for serious and fatal occupational accidents. A total of 354 interviews were conducted with professionals responsible for notifying occupational accidents. Bivariate analysis was conducted using Pearson's chi-square test and/or Fisher's exact test using prevalence ratios and 95% confidence intervals, followed by stratified analysis and multivariate Poisson regression adopting the stepwise forward method. Variables that obtained a p-value of less than or equal to the chosen significance level (0.05) were maintained in the final model. Professionals who had a greater number of years of work experience, had undertaken three training courses, had knowledge of policy directives concerning occupational accidents, were familiar with the SINAN notification form, were aware that occupational accidents are reportable, and discussed the theme of occupational accidents in the workplace were statistically more likely to notify occupational accidents. Education and training helps raise awareness among health professionals. [ABSTRACT FROM AUTHOR]

Background: Health information systems allow for the identification of problems in this field, and often represent the single source of information; therefore, accurate determination of their quality is crucial., Aims: To analyze accessibility, opportunity and completeness as criteria for the quality of the information provided by System of Information for Notifiable Conditions (Sistema de Informação sobre Agravos de Notificação - SINAN) on Work Accidents under Exposure to Biological Materials (Acidentes de Trabalho com Exposição a Material Biológico - ATEMB) from 2010 to 2015., Methods: Observational and descriptive study based on secondary SINAN data on ATEMB. The object of analysis was all ATEMB records from the 26 Brazilian states and Federal District from 1 January 2010 to 31 December 2015., Results: Information is accessible and timely, while the data for the ongoing year are only made available the following one. The percentage of incomplete data in SINAM-ATEMB was high for the following variables: educational level, length of work in the current job, organic materials, serological status of affected individuals and source-patient, measures adopted, case progression and Work Accident Notification (Comunicação de Acidente de Trabalho - CAT); therefore, these variables cannot be included in analyses of risk factors., Conclusion: Despite the accessibility of the database and the relevance of its variables, SINAN-ATEMP exhibits problems in its quality that indicate an indisputable need to improve the completeness of information.