0281 Evaluating the completeness of compulsory work-related diseases/injuries notifications recorded by three cities in southeast brazil. (21st August 2017)

• Record Type: Journal Article
• 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
• Is Part Of: Occupational and environmental medicine. Volume 74(2017)Supplement 1
• Page Start: A87
• Page End: A88
• Publication Date: 2017-08-21
• Subjects: Medicine, Industrial -- Periodicals; Environmental health -- Periodicals; 616.980305
• DOI: 10.1136/oemed-2017-104636.231
• Languages: English
• ISSNs: 1351-0711

Abstract

Abstract : Introduction: The 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. Methods: Descriptive 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. Results: 669 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. Conclusion: There are differences in the completeness among the cities. Routine quality data assessments are crucial to ensure information quality used by health surveillance agents.