Applied Psychology and Human Factors Group, School of Psychology, William Guild Building, University of Aberdeen, Aberdeen, AB24 3FX, UK.
J Agromedicine. 2022 Jul;27(3):259-271. doi: 10.1080/1059924X.2021.1920528. Epub 2021 May 31.
Livestock cause many fatal and non-fatal agricultural accidents. It is crucial to understand how farmers perceive and manage different risks associated with livestock handling to devise better solutions for accident reduction. The current study investigated farmers' perception and management of four types of livestock handling risks related to self, animal, environment, and equipment. Additionally, farmers' and agricultural stakeholders' perspectives were compared.Two samples comprising 56 farmers and 55 stakeholders from the UK and Ireland completed the online study. Participants were presented with eight short livestock handling vignettes, two per risk type, and were asked to decide whether they would proceed with the task, to report their reasoning, and to detail their risk management strategies. Likert-scale responses across scenarios were compared. Thematic analysis was used to identify qualitative data patterns.Stress and fatigue were perceived as low risk by both samples based on quantitative and qualitative results. The thematic analysis revealed that risk was evaluated in terms of broader aspects, including animal welfare and duty. Participants reported the use of cognitive non-technical skills when mitigating risks associated with handling livestock alone.By changing safety messages to capture farmer priorities, agricultural organisations could encourage risk avoidance, especially in situations involving stress or fatigue. Furthermore, the cognitive non-technical skills identified could be trained within existing courses for farmers.
牲畜会导致许多致命和非致命的农业事故。了解农民如何感知和管理与牲畜处理相关的不同风险对于制定减少事故的更好解决方案至关重要。本研究调查了农民对与自我、动物、环境和设备相关的四种牲畜处理风险的感知和管理。此外，还比较了农民和农业利益相关者的观点。来自英国和爱尔兰的两个样本，共 56 名农民和 55 名利益相关者完成了在线研究。参与者被展示了八个简短的牲畜处理情景，每种风险类型两个，并被要求决定是否继续进行任务，报告他们的推理，并详细说明他们的风险管理策略。对不同情景的李克特量表反应进行了比较。使用主题分析来识别定性数据模式。基于定量和定性结果，压力和疲劳被两个样本视为低风险。主题分析显示，风险是根据更广泛的方面进行评估的，包括动物福利和责任。参与者报告说，在单独处理牲畜时，他们使用了认知非技术技能来降低风险。通过改变安全信息以捕捉农民的优先事项，农业组织可以鼓励避免风险，特别是在涉及压力或疲劳的情况下。此外，确定的认知非技术技能可以在现有的农民课程中进行培训。
