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The Brazilian System for Monitoring Workers and General Population Exposed to Asbestos: Development, Challenges, and Opportunities for Workers’ Health Surveillance

The lack of safe levels of asbestos exposure and the long latency of asbestos-related disease (ARD) makes workers’ health surveillance challenging, especially in lower-income countries. This paper aims to present the recently developed Brazilian system for monitoring workers and general population e...

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Detalles Bibliográficos
Autores principales: Buralli, Rafael Junqueira, Pinheiro, Regina Dal Castel, Susviela, Laura Lima, Duracenko, Sandra Renata Canale, De Capitani, Eduardo Mello, Savaris, Alexandre, Algranti, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001436/
https://www.ncbi.nlm.nih.gov/pubmed/36901302
http://dx.doi.org/10.3390/ijerph20054295
Descripción
Sumario:The lack of safe levels of asbestos exposure and the long latency of asbestos-related disease (ARD) makes workers’ health surveillance challenging, especially in lower-income countries. This paper aims to present the recently developed Brazilian system for monitoring workers and general population exposed to asbestos (Datamianto), and to discuss the main challenges and opportunities for workers’ health surveillance. Methods: a descriptive study of the Datamianto development process, examining all the stages of system planning, development, improvement, validation, availability, and training of health services for its use, in addition to presenting the main challenges and opportunities for its implementation. Results: The system was developed by a group of software developers, workers’ health specialists, and practitioners, and it was recently incorporated by the Ministry of Health to be used for workers’ health surveillance. It can facilitate the monitoring of exposed individuals, epidemiological data analysis, promote cooperation between health services, and ensure periodical medical screening guaranteed to workers by labor legislation. Moreover, the system has a Business Intelligence (BI) platform to analyze epidemiologic data and produce near real-time reports. Conclusions: Datamianto can support and qualify the healthcare and surveillance of asbestos-exposed workers and ARD, promoting a better quality of life for workers and improving companies’ compliance with legislation. Even so, the system’s significance, applicability, and longevity will depend on the efforts aimed at its implementation and improvement.