Article Text


73 Targeting prevention policies and priorities from using routine occupational injuries statistics; Argentina, 2012
  1. C I Cornelio1,
  2. Iñiguez2,
  3. Dalh1
  1. 1SRT, Buenos Aires, Argentina
  2. 2Instituto Gino Germani, UBA, Buenos Aires, Argentina


Objective To identify from routine collected data in National worker’s compensation database, sectors of the economy where workers are exposed to different risk levels, and to rank and prioritise groups to apply measures based on seriousness and coverage.

Methods we determine statistic quintiles of frequency rates indicators and the extent of their severity based on ILO proposed statistics to assess rates by the top 17 sectors of the economy to the entire worker population during the 2009–2011 time period. We calculate injury, mortality and lethality rates observing lower and upper limits across three year’s time-trends. We identify sectors that persist the period at top and give a score value to be rank.

Results The impact rate shows severe seriousness for the highest injury rate quintile, which bears 5.61 times the lowest risk quintile, and its economic activities have 3 times more risk of suffering injuries compared with the rest. Time trend indicates that the number of workers exposed to it decreases by 10% in 2011. 43% of workers are included in the last but one quintile of mortality. The highest lethality risk quintile and the second next concentrate more than 55% of workers. We identified 10, 8 and 5 every 17 economic activities that respectively persist within the worst injury, mortality and lethality risk in the period analysed. Eight sectors are repeated in at least 2 of those rates. By the score method, we found the same results.

Conclusion This paper emphasises the importance and potential of routine statistics use in all areas of occupational safety and health research to increase their scope and effectiveness, and the identification and implementation of preventive measures from a simple, current, reliable and easy to use method for more inclusive public health policies.

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