Laurentian University, Sudbury, Ontario, Canada.
University of Toronto, Toronto, Ontario, Canada.
Occup Med (Lond). 2017 Aug 1;67(6):442-447. doi: 10.1093/occmed/kqx077.
The mining industry is associated with high levels of accidents, injuries and illnesses. Lost-time injuries are useful measures of health and safety in mines, and the effectiveness of its safety programmes.
To identify the type of lost-time injuries in the US mining workforce and to examine predictors of these occupational injuries.
Primary papers on lost-time injuries in the US mining sector were identified through a literature search in eight health, geology and mining databases, using a systematic review protocol tailored to each database. The Critical Appraisal Skills Programme (CASP), Framework of Quality Assurance for Administrative Data Source and the Cochrane Collaboration 'Risk of bias' assessment tools were used to assess study quality.
A total of 1736 articles were retrieved before duplicates were removed. Fifteen articles were ultimately included with a CASP mean score of 6.33 (SD 0.62) out of 10. Predictors of lost-time injuries included slips and falls, electric injuries, use of mining equipment, working in underground mining, worker's age and occupational experience.
This is the first systematic review of lost-time injuries in the US mining sector. The results support the need for further research on factors that contribute to workplace lost-time injuries as there is limited literature on the topic. Safety analytics should also be applied to uncover new trends and predict the likelihood of future incidents before they occur. New insights will allow employers to prevent injuries and foster a safer workplace environment by implementing successful occupational health and safety programmes.
采矿业与高事故率、受伤和疾病相关。旷工是衡量矿山健康和安全以及安全计划有效性的有用指标。
确定美国采矿业旷工的类型，并研究这些职业伤害的预测因素。
通过对八个健康、地质学和采矿数据库进行文献检索，使用针对每个数据库定制的系统评价方案，确定了美国采矿业旷工的主要论文。使用关键评估技能计划（CASP）、行政数据源质量保证框架和 Cochrane 协作“偏倚风险”评估工具来评估研究质量。
在去除重复项之前，共检索到 1736 篇文章。最终纳入了 15 篇文章，CASP 平均得分为 6.33（SD 0.62），满分 10 分。旷工的预测因素包括滑倒和跌倒、电击伤、采矿设备的使用、地下采矿作业、工人年龄和职业经验。
这是美国采矿业旷工的首次系统评价。结果支持需要进一步研究导致工作场所旷工的因素，因为关于这个主题的文献有限。还应应用安全分析来发现新趋势，并在事件发生之前预测未来事件的可能性。新的见解将使雇主能够通过实施成功的职业健康和安全计划来预防伤害并营造更安全的工作环境。
