0281 Evaluating the completeness of compulsory work-related diseases/injuries notifications recorded by three cities in southeast brazil

• Published in: Occupational and environmental medicine (London, England) Vol. 74; no. Suppl 1; p. A87
• Main Authors: Guimarães, Mariana Tavares, Ferreira, Ana Paula Sacone da Silva, Silva, Alessandro José Nunes da, Duracenko, Sandra Renata, Santos, Simone Alves dos, Carmo, José Carlos do, Vilela, Rodolfo Andrade de Gouveia, Cardoso, Maria Regina Alves
• Format: Journal Article
• Language: English
• Published: London BMJ Publishing Group LTD 01.08.2017
• Subjects: Cancer; Cities; Completeness; Diseases; Health surveillance; Information systems; Injuries; Occupational diseases; Occupational safety; Quality assessment; Skin diseases; Social factors; Studies; Brazil
• ISSN: 1351-0711; 1470-7926
• DOI: 10.1136/oemed-2017-104636.231

IntroductionThe Brazilian Notifiable Diseases Information System (SINAN) includes eleven work-related diseases and injuries (in nine forms), which communication is mandatory. As a way to evaluate the quality of this database, this study aimed to rate the completeness of information reported by three cities of the São Paulo State from 2007–2016. MethodsDescriptive study as part of ‘Work Accident: from Socio-technical analysis towards the social construction of changes’ supported by the Sao Paulo Research Foundation. Data from the work-related diseases and injuries forms were retrieved from SINAN for Araraquara, Campinas and Piracicaba for the period 2007-2016(16 094 files). Completeness was assessed by the percentage of filled variables by form and city, and it were categorised as: excellent (<5% unfilled), good (≥5,<10% unfilled), regular (≥10,<20% unfilled), poor (≥20,<50% unfilled), and very poor (≥50% unfilled). Analyses were done using STATA 13.1. Results669 variables were analysed, one of them is a compulsory field (occupation) and its completeness was very high (≥97%) for all cities. Araraquara had 71.63% variables with excellent completeness, but the occupational dermatosis file had 34.29% variables classified as very poor. Piracicaba showed 56.24% variables classified as excellent, and the occupational dermatosis and cancer files had 41.46% and 55.07% filled very poorly, respectively. Campinas had 40.80% variables filled as excellent, and more than 30% of variables were classified as poor or very poor in all files. ConclusionThere are differences in the completeness among the cities. Routine quality data assessments are crucial to ensure information quality used by health surveillance agents.