Occupational and Environmental Health, University of Iowa, Iowa City, Iowa, USA.
Biostatistics, University of Iowa, Iowa City, Iowa, USA.
J Agric Saf Health. 2023;29(1):15-32. doi: 10.13031/jash.15269.
Agriculture is among the most dangerous industries in the U.S., yet routine surveillance of injury hazards is not currently being conducted on a national level. The objectives of this study were to describe a new tool, called the Hazard Assessment Checklist (HAC), to identify and characterize farm hazards that increase injury risk to farmers and farm workers, and (2) report the inter-rater reliability of the new tool when administered on row-crop farms in Iowa. Based on a literature review and a consensus of expert opinion, the HAC included hazards related to self-propelled vehicles, powered portable implements, fixed machinery and equipment, farm buildings and structures, fall risks, and portable equipment associated with fall risk. A scoring metric indicating the extent of compliance with recommended safety guidelines and standards was developed for each item of the HAC, which included compliant, minimal improvement needed, substantial improvement needed, and not compliant. Inter-rater reliability was assessed from data collected by research staff on 52 row crop farms in Iowa. Cohen's weighted Kappa values demonstrated high inter-rater reliability, ranging between 0.86 and 0.94, for all HAC sections. The HAC can be completed in 1.5-2 hours on each farm and requires about three hours of training, two hours of which are spent in field training. The ability to monitor injury-related hazards over time using an empirically driven tool will contribute significantly to injury prevention efforts in an industry with consistently high rates of fatal and nonfatal injury.
农业是美国最危险的行业之一,但目前尚未在全国范围内对伤害危害进行常规监测。本研究的目的是描述一种新工具,称为危害评估检查表(HAC),以识别和描述增加农民和农场工人受伤风险的农场危害,以及(2)报告在爱荷华州的行作物农场使用新工具的内部评估者可靠性。基于文献综述和专家意见的共识,HAC 包括与自走式车辆、动力便携式器具、固定机械和设备、农场建筑物和结构、坠落风险以及与坠落风险相关的便携式设备相关的危害。为 HAC 的每个项目制定了一个表示与推荐安全指南和标准的一致性程度的评分指标,其中包括符合、需要轻微改进、需要大量改进和不符合。内部评估者可靠性是根据爱荷华州 52 个行作物农场的研究人员收集的数据进行评估的。科恩加权 Kappa 值表明,所有 HAC 部分的内部评估者可靠性均很高,介于 0.86 至 0.94 之间。HAC 可以在每个农场完成 1.5-2 小时,需要大约 3 小时的培训,其中 2 小时用于现场培训。使用经验驱动的工具监测随时间变化的与伤害相关的危害的能力将大大有助于预防具有持续高致命和非致命伤害率的行业中的伤害。