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Validation and optimization of the indicator system of risk assessment for mechanical cuts / 中华劳动卫生职业病杂志
Chinese Journal of Industrial Hygiene and Occupational Diseases ; (12): 449-452, 2019.
Article in Chinese | WPRIM | ID: wpr-805349
ABSTRACT
Objective@#To validation and optimization the indicator system of risk assessment for mechanical cuts.@*Methods@#The risk assessment index system of mechanical cutting injury established earlier was used to assess the risk of mechanical cutting injury in 40 cases of mechanical cutting injury registered from January 2015 to December 2017 and 40 similar positions without accidents in the same period. The multiple stepwise regression analysis was used to screen the indicator system, and to adjust the weight coefficient of each index. The total coincidence rate and Kappa value were compared between before and after optimization respectively.@*Results@#The new index system has 3 first-class indicators, 10 second-class indicators and 14 three-class indicators, fewer than the old index system which has 3 first-class indicators, 10 second-class indicators, 34 three-class indicators. There three indicators have revamped in the first-class. The total of coincidence rates of the new and old indicator systems were 67.50% and 90.00%, the difference was statistically significant (P<0.01). The Kappa value were 0.35 and 0.80, respectively.@*Conclusion@#The evaluation results with new indicator systems is more consistent with the actual hazard detection the the old indicator systems, and scientific, reasonable and practical, and the indicator system of risk assessment for mechanical cuts can be used for the risk assessment of mechanical cutting injuries.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Risk factors Language: Chinese Journal: Chinese Journal of Industrial Hygiene and Occupational Diseases Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Risk factors Language: Chinese Journal: Chinese Journal of Industrial Hygiene and Occupational Diseases Year: 2019 Type: Article