美国中西部连作农场伤害危险识别核对表的开发。

Pub Date : 2023-01-01 DOI:10.13031/jash.15269
Kayla Faust, Carri Casteel, Fredric Gerr, Joseph E Cavanaugh, D Erik Boonstra, T Renee Anthony, Victor A Soupene, Marizen R Ramirez
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引用次数: 0

摘要

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险进行常规监测。本研究的目的是描述一种名为 "危害评估核对表"(HAC)的新工具,用于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) 报告新工具在爱荷华州行作物农场使用时的评分者间可靠性。根据文献综述和专家共识,HAC 包括与自行式车辆、动力便携式机具、固定机械和设备、农场建筑和结构、坠落风险以及与坠落风险相关的便携式设备有关的危险。针对 HAC 的每个项目都制定了一个评分标准,表明其符合建议的安全准则和标准的程度,包括符合、极少需要改进、需要大幅改进和不符合。研究人员对爱荷华州 52 个有垅作物农场收集的数据进行了互评可靠性评估。科恩加权卡帕值显示,HAC 各部分的评分者间可靠性都很高,介于 0.86 和 0.94 之间。每个农场可在 1.5-2 个小时内完成 HAC,需要大约 3 个小时的培训,其中 2 个小时用于实地培训。在这个致命和非致命伤害率一直居高不下的行业中,利用经验驱动的工具对与伤害相关的危害进行长期监测的能力将极大地促进伤害预防工作。
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Development of a Checklist to Identify Injury Hazards on Row Crop Farms in the Midwestern United States.

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.

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