McFarland Lauren, Macken-Walsh Áine, Claydon Grace, Casey Mícheál, Douglass Alexander, McGrath Guy, McAloon Conor G
School of Veterinary Medicine, University College Dublin, Belfield, Dublin, Ireland D04 W6F6.
Department of Agri-Food Business and Spatial Analysis, Rural Economy Development Programme, Teagasc, Athenry, Ireland H65 R718.
J Dairy Sci. 2020 Nov;103(11):10614-10627. doi: 10.3168/jds.2019-17889. Epub 2020 Aug 26.
A high-quality animal health surveillance service is required to inform policy and decision-making in food-animal disease control, to substantiate claims regarding national animal health status and for the early detection of exotic or emerging diseases. In Ireland, the Department of Agriculture, Food and the Marine provides partially subsidized testing of farm animal samples and postmortem examinations to the Irish agriculture sector (farmers) at 6 regional veterinary laboratories (RVL) throughout the country. Diagnoses and data from these submissions are recorded and reported monthly and annually to enable animal health monitoring and disease surveillance. In a passive surveillance model, both the veterinary practitioner and the farmer play a vital role in sample submission by determining which cases are sent to the laboratory for postmortem or diagnostic testing. This paper identified factors influencing Irish dairy farmers' decisions to submit carcasses to RVL. Behavioral determinants of the submission of samples where veterinary professionals are concerned has been studied previously; however, limited work has studied determinants among farmers. This study conducted qualitative analyses of decisions of Irish dairy farmers relevant to diagnostic sample submission to an RVL and to examine the herd-level characteristics of farmers that submitted cases to an RVL. The biographical narrative interpretive method was used to interview 5 case-study farmers who were classified nonsubmitters, medium, or high submitters to the postmortem service based on the proportion of on-farm mortalities submitted to the laboratory service in 2016. The data obtained from these interviews were supplemented and triangulated through dairy farmer focus groups. The data were thematically analyzed and described qualitatively. In addition, quantitative analysis was undertaken. Data for herds within the catchment area of a central RVL were extracted, and a multivariable logistic regression model was constructed to examine the relationship between herds from which carcasses were submitted to the laboratory and those from which none were submitted. Results from the analysis show that the farmer's veterinary practitioner was the primary influence on submission of carcasses to the laboratory. Similarly, the type of incident, logistical issues with transporting carcasses to the laboratory, influence of peers, presence of alternative private laboratories, and a fear of government involvement were key factors emerging from the case-study interview and focus group data. Herd size was identified in both the qualitative and quantitative analysis as a factor determining submission. In the logistic regression model, herd size and increased levels of expansion were positively correlated with the odds of submission, whereas distance from the laboratory was negatively associated with odds of submission. These results identify the main factors influencing the use of diagnostic services for surveillance of animal health, signaling how services may be made more attractive by policy makers to a potentially wider cohort of users.
需要高质量的动物健康监测服务,以便为食用动物疾病控制方面的政策和决策提供依据,证实有关国家动物健康状况的说法,并尽早发现外来或新出现的疾病。在爱尔兰,农业、食品和海洋部在全国6个区域兽医实验室(RVL)为爱尔兰农业部门(农民)提供部分补贴的农场动物样本检测和尸检服务。这些送检样本的诊断结果和数据每月和每年进行记录和报告,以实现动物健康监测和疾病监控。在被动监测模式下,兽医从业者和农民在样本送检方面都发挥着至关重要的作用,他们要确定哪些病例被送到实验室进行尸检或诊断检测。本文确定了影响爱尔兰奶农将 carcasses 送到区域兽医实验室的决定的因素。以前曾研究过兽医专业人员相关样本送检的行为决定因素;然而,针对农民的决定因素的研究工作有限。本研究对爱尔兰奶农与向区域兽医实验室提交诊断样本相关的决定进行了定性分析,并研究了向区域兽医实验室提交病例的农民的畜群水平特征。采用传记叙事解释方法,采访了5位案例研究农民,他们根据2016年提交给实验室服务的农场死亡率比例被分类为非送检者、中等或高送检者。通过奶农焦点小组对从这些访谈中获得的数据进行了补充和三角验证。对数据进行了主题分析并进行了定性描述。此外,还进行了定量分析。提取了中央区域兽医实验室集水区内畜群的数据,并构建了多变量逻辑回归模型,以研究向实验室提交 carcasses 的畜群与未提交的畜群之间的关系。分析结果表明,农民的兽医从业者是影响向实验室提交 carcasses 的主要因素。同样,事件类型、将 carcasses 运送到实验室的后勤问题、同行的影响、替代私人实验室的存在以及对政府介入的担忧是案例研究访谈和焦点小组数据中出现的关键因素。在定性和定量分析中都确定畜群规模是决定送检的一个因素。在逻辑回归模型中,畜群规模和扩大水平的提高与送检几率呈正相关,而与实验室的距离与送检几率呈负相关。这些结果确定了影响动物健康监测诊断服务使用的主要因素,表明政策制定者如何使服务对潜在更广泛的用户群体更具吸引力。