Warner M, Baker S P, Li G, Smith G S
Department of Health Policy and Management, Johns Hopkins University School of Public Health, Center for Injury Research and Policy, Baltimore, Maryland 21205-1996, USA.
Am J Ind Med. 1998 Oct;34(4):351-8. doi: 10.1002/(sici)1097-0274(199810)34:4<351::aid-ajim8>3.0.co;2-v.
Motor vehicle manufacturing, with its varied tasks, challenging work environment, and diverse worker populations, presents many hazards to employees. This study examined routinely collected surveillance data from a major motor vehicle manufacturer to identify injury types, high-risk workers, causes of injury, and factors associated with work loss. Injury and personnel data were used to calculate injury rates. Injury data were from the routinely collected medical and safety surveillance system on occupational injuries. The number of persons working in the plants was estimated using year-end personnel reports. Key word searches supplementing the analyses provided insight into the specific circumstances of injury. The most common injuries were sprains/strains (39% of the total), lacerations (22%), and contusions (15%). Forty-nine percent of the injuries resulted in one or more lost or restricted workdays; 25% resulted in 7 or more lost or restricted workdays. The injuries most likely to result in work loss were amputations, hernias and fractures. Sprains/strains accounted for 65% of all lost workdays. Injury rates ranged from 13.8 per 100 person-years at stamping plants to 28.7 at parts depots. Even within similar types of plants, injury rates varied widely, with a twofold difference among the individual assembly plants in overall injury rates. Injury surveillance systems with descriptive data on injury events shed light on the circumstances under which certain types of injuries occur and can provide the basis for preventive interventions. Sources of variation and potential biases are discussed, providing guidance for those interested in designing and using surveillance systems for occupational injuries.
机动车制造涉及各种任务、具有挑战性的工作环境和多样化的工人人群,给员工带来诸多危害。本研究检查了一家大型机动车制造商定期收集的监测数据,以确定伤害类型、高风险工人、伤害原因以及与工作损失相关的因素。使用伤害和人员数据来计算伤害率。伤害数据来自于职业伤害的常规医疗和安全监测系统。利用年终人员报告估算工厂中的工作人数。补充分析的关键词搜索为伤害的具体情况提供了深入了解。最常见的伤害是扭伤/拉伤(占总数的39%)、撕裂伤(22%)和挫伤(15%)。49%的伤害导致一个或多个工作日的损失或受限;25%导致7个或更多工作日的损失或受限。最有可能导致工作损失的伤害是截肢、疝气和骨折。扭伤/拉伤占所有损失工作日的65%。伤害率从冲压厂的每100人年13.8例到零部件仓库的28.7例不等。即使在类似类型的工厂中,伤害率也有很大差异,个别装配厂的总体伤害率相差两倍。带有伤害事件描述性数据的伤害监测系统揭示了某些类型伤害发生的情况,并可为预防干预提供依据。讨论了变异来源和潜在偏差,为那些有兴趣设计和使用职业伤害监测系统的人提供指导。