PEREZ O, Margarita María    MUNOZ D, Ana Marcela. Characterization of occupational accidents reported by a sharp Risk Management Labour ARL companies, January - December, 2011. []. , 32, 2, pp.67-75. ISSN 0120-386X.

OBJECTIVE:to describe 163,639 records of accidents at the workplace reported to an occupational risk management company in 2011. METHODOLOGY: the exploration of the data included univariate analysis, an or with its respective p value for significance (which was accepted when it was less than 0.05) and a "forward Wald" logistic regression model with variables which behaved as risk and protective factors. RESULTS : 86.7% of the injured workers were men, 96.5% of the accidents were classified as being particular to the job being carried out, 15.0% of the fatal accidents occurred in coal mining activities and 469 of the accidents were fatal. One of the main difficulties in the data analysis processwas related to the way in which variables are recorded intoaccident databases.The logistic regression model provided information on some of the variables that most strongly explained fatal work accidents: male gender (or: 6.0, 95% CI 3.7 to 9.8); having transportation-related work accidents (or: 3.2 95% CI 2.4 to 4.2); having violence-related work accidents (or: 6.1, 95% CI 4.6 to 8.3) and asphyxia injury (or: 12.1 95 %: 5.5 to 26.7). CONCLUSION: focus on improving information management in order to get a bigger picture on thestudied issue so that other types of analysis can be proposed.

: Workplace accidents; fatal accidents at the workplace; accident indicators.

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