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奥地利农业机械导致的职业事故

Occupational Accidents with Agricultural Machinery in Austria.

作者信息

Kogler Robert, Quendler Elisabeth, Boxberger Josef

机构信息

a Department of Agricultural Engineering , University of Natural Resources and Life Sciences , Vienna , Austria.

出版信息

J Agromedicine. 2016;21(1):61-70. doi: 10.1080/1059924X.2015.1075451.

Abstract

The number of recognized accidents with fatalities during agricultural and forestry work, despite better technology and coordinated prevention and trainings, is still very high in Austria. The accident scenarios in which people are injured are very different on farms. The common causes of accidents in agriculture and forestry are the loss of control of machine, means of transport or handling equipment, hand-held tool, and object or animal, followed by slipping, stumbling and falling, breakage, bursting, splitting, slipping, fall, and collapse of material agent. In the literature, a number of studies of general (machine- and animal-related accidents) and specific (machine-related accidents) agricultural and forestry accident situations can be found that refer to different databases. From the database Data of the Austrian Workers Compensation Board (AUVA) about occupational accidents with different agricultural machinery over the period 2008-2010 in Austria, main characteristics of the accident, the victim, and the employer as well as variables on causes and circumstances by frequency and contexts of parameters were statistically analyzed by employing the chi-square test and odds ratio. The aim of the study was to determine the information content and quality of the European Statistics on Accidents at Work (ESAW) variables to evaluate safety gaps and risks as well as the accidental man-machine interaction.

摘要

尽管技术有所改进,预防措施和培训也更加协调,但奥地利农林工作中已确认的致命事故数量仍然很高。在农场中,导致人员受伤的事故场景差异很大。农林事故的常见原因是机器、运输工具或操作设备、手持工具以及物体或动物失控,其次是滑倒、绊倒和摔倒、破损、爆裂、分裂、滑落、坠落以及物质媒介的坍塌。在文献中,可以找到一些关于一般(与机器和动物相关的事故)和特定(与机器相关的事故)农林事故情况的研究,这些研究参考了不同的数据库。利用奥地利工人赔偿委员会(AUVA)关于2008 - 2010年奥地利不同农业机械职业事故的数据库Data,通过卡方检验和优势比,对事故、受害者和雇主的主要特征以及按参数频率和背景划分的原因和情况变量进行了统计分析。该研究的目的是确定欧洲工作事故统计(ESAW)变量的信息内容和质量,以评估安全差距和风险以及意外的人机交互情况。

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