Quantitative indicators for the prevention of occupational risks: Application by the National Network for Vigilance and Prevention of Occupational Diseases (RNV3P)

Philippe, Sandrine

Thursday, March 22, 2012

Ground Floor (Cancun Center)

Sandrine Philippe, Risk assesment Department, French Agency For Food, Environmental And Occupational Health And Safety (ANSES), Maison-Alfort, France

Serge Fayes, Risk Assessment Department, French Agency for Food, Environmental and Occupational Health & Safety (Anses), Maisons-Alfort, France

Lynda Larabi, Occupational Diseases Department, Occupational Disease Consultation Centers (CCPP), Grenoble, France

Melina Le Barbier, Risk Assesment Department, French Agency For Food, Environmental And Occupational Health And Safety (ANSES), Maisons-Alfort, France

Elena Nerriere Catelinois, Risk Assessment Department, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Maisons-Alfort, France

Gérard Lasfargue, Risk Assessment Department, French Agency for Food, Environmental and Occupational Health & Safety (ANSES), Maisons-Alfort, France

Maylis Telle-lamberton, Risk Assesment Department, French Agency For Food, Environmental And Occupational Health And Safety (ANSES), Maisons-Alfort, France

Introduction
Preventing occupational risk is an important issue for public health and constitutes a major aim of the National Network for Vigilance and Prevention of Occupational Diseases (RNV3P). As a pharmacovigilance system, the RNV3P records all the occupational diseases and associated exposures observed in the 32 Occupational Disease Consultation Centers (CCPP) in France. The purpose of the present study is to define prevention indicators adapted to these data.

Methods
Six families of occupational pathologies were studied. Theirs associations with occupational sectors were determined using the Reporting Odds-Ratio (ROR) adjusted for sex and age.

Results
For mental diseases, the following sectors appear significantly associated with an increase in reporting risk: Finance and trade (RORa=9.13), Cars sale and repair (RORajusted=2.35), Transport and communication (RORajusted=2.25), real estate (RORajusted=2.16), Water and energy (RORajusted=1.53), Hotels and restaurants (RORajusted=1.44) and Education (RORajusted=1.34). For respiratory diseases the associated sectors are: Mining industries (RORajusted=3.02), Cleaning services (RORajusted=1.90), Manufacturing industries (RORajusted=1.81) and Agriculture (RORajusted=1.37). The highest ROR associated with Neoplasms (benign neoplasms excluded) are Agriculture (RORajusted=1.75), Water and energy (RORajusted=1.58), Manufacturing industries (RORajusted=1.21), Transport and communication (RORajusted=1.23) and Construction (RORajusted=1.13). For musculoskeletal diseases, the associated sectors are domestic services (RORajusted=2.48), Hotels and restaurants (RORajusted=1.71), Public Administration (RORajusted=1.58), Construction (RORajusted=1.46), Transport and communication (RORajusted=1.44) and Cars sale and repair (RORajusted=1.20). For skin diseases, the concerned sectors are Health and social (RORajusted=2.63) and Hotels and restaurants (RORajusted=1.36). Finally, for ear diseases, Public Administration (RORajusted=4.39) alone appears significantly associated with an increase in reporting risk.

Discussion
These results are consistent with data found in the literature. They show the ability of the network to provide reliable information for the prevention of occupational diseases. These analyses constitute the first use of the ROR as a quantitative indicator for prevention based on a vigilance system.

A1885 Quantitative indicators for the prevention of occupational risks: Application by the National Network for Vigilance and Prevention of Occupational Diseases (RNV3P)