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Development of a Checklist to Identify Injury Hazards on Row Crop Farms in the Midwestern United States.开发一种检查表,以识别美国中西部种植业农场的伤害隐患。
J Agric Saf Health. 2023;29(1):15-32. doi: 10.13031/jash.15269.
2
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Recruitment of Row Crop Farmers into a Research Study to Assess Farm Hazards.招募大田作物农民参与研究评估农场危害。
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Certified safe farm: identifying and removing hazards on the farm.认证安全农场:识别并消除农场中的危险。
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本文引用的文献

1
The REDCap consortium: Building an international community of software platform partners.REDCap 联盟:构建软件平台合作伙伴的国际社区。
J Biomed Inform. 2019 Jul;95:103208. doi: 10.1016/j.jbi.2019.103208. Epub 2019 May 9.
2
Certified Safe Farm Implementation in North Carolina: Hazards, Safety Improvements, and Economic Incentives.
J Agromedicine. 2018;23(4):381-392. doi: 10.1080/1059924X.2018.1508395.
3
Establishing a publicly available national database of US news articles reporting agriculture-related injuries and fatalities.建立一个公开可用的美国新闻文章国家数据库,这些文章报道与农业相关的伤害和死亡事件。
Am J Ind Med. 2018 May 22. doi: 10.1002/ajim.22860.
4
Non-fatal agricultural injury surveillance in the United States: A review of national-level survey-based systems.美国非致命性农业伤害监测:基于国家级调查系统的综述。
Am J Ind Med. 2017 Jul;60(7):599-620. doi: 10.1002/ajim.22720.
5
Adapting Certified Safe Farm to North Carolina Agriculture: An Implementation Study.使“认证安全农场”适应北卡罗来纳州农业:一项实施研究。
J Agromedicine. 2016;21(3):269-83. doi: 10.1080/1059924X.2016.1180273.
6
Characteristics of Fatal Agricultural Injuries by Production Type.按生产类型划分的致命农业伤害特征。
J Agric Saf Health. 2016 Jan;22(1):75-85. doi: 10.13031/jash.22.11244.
7
Interrater reliability: the kappa statistic.组内一致性:kappa 统计量。
Biochem Med (Zagreb). 2012;22(3):276-82.
8
Certified safe farm: identifying and removing hazards on the farm.认证安全农场:识别并消除农场中的危险。
J Agric Saf Health. 2010 Apr;16(2):75-86. doi: 10.13031/2013.29592.
9
Incorporating occupational health interventions in a community-based participatory preventive health program for farm families: a qualitative study.将职业健康干预措施纳入以社区为基础的参与式农场家庭预防保健计划中:一项定性研究。
J Agromedicine. 2010 Apr;15(2):117-26. doi: 10.1080/10599241003622491.
10
Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit.加权kappa系数:用于衡量名义尺度上的一致性,并考虑了尺度不一致或部分得分的情况。
Psychol Bull. 1968 Oct;70(4):213-20. doi: 10.1037/h0026256.

开发一种检查表,以识别美国中西部种植业农场的伤害隐患。

Development of a Checklist to Identify Injury Hazards on Row Crop Farms in the Midwestern United States.

机构信息

Occupational and Environmental Health, University of Iowa, Iowa City, Iowa, USA.

Biostatistics, University of Iowa, Iowa City, Iowa, USA.

出版信息

J Agric Saf Health. 2023;29(1):15-32. doi: 10.13031/jash.15269.

DOI:10.13031/jash.15269
PMID:38371402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10870839/
Abstract

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.

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。