风险评级工具的结果可以用来预测乳制品加工厂检验类别的结果吗?

Brad Waugh
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引用次数: 0

摘要

背景:很大一部分人消费乳制品。生产这些易腐产品的乳制品加工厂(DPP)可能会对健康造成危害(化学、物理、生物)。为了尽量减少这些产品的健康风险,DPP经过监管机构的检查。本研究检查了来自BCCDC乳制品项目的半定量风险排名工具(RRT)的二次数据,以检查DPP检查的趋势,并评估工具中的风险因素。方法:将2015年至2018年各DPP检查的RRT数据输入到主电子表格中。RRT有两种总体风险类别,固有风险和测量风险。工具中的固有风险类别来自对乳制品厂的调查,而工具中的测量风险来自检查访问(常规和深入),乳制品厂和检查员提交的环境和食品结果,并基于合规性和历史。共有107个项目在8个类别中进行了评估。使用NCSS 12软件进行描述性分析和统计分析(NCSS, 2018)。结果:本研究共纳入30个不同DPP的128份检验报告。在这些检查中,65%被认为是低风险,12%被认为是中度风险,23%被认为是高风险。发现位于农场内的DPP的总体检查风险得分明显高于位于农场外的奶牛场(平均农场检查风险排名得分= 694;非农检验风险平均排名得分= 153;p = 0.0003, = 95%)。当微生物评分类别(来自环境拭子和食品提交)与检验评分类别进行比较时,这些类别具有统计学显著相关(p=0.0000,幂函数=100%);当检查分数增加时,微生物分数也会增加。在生产多种乳制品的DPP中也发现了更高的风险评分(将一种产品与6或7种产品进行比较,p=0.009,功率=76%)。结论:乳制品检查确保DPP遵循良好的生产规范,因此有助于保护人群免受疾病爆发或其他污染。该研究表明,在农场内设置乳制品加工设施的风险增加,生产多种乳制品的更复杂的乳制品加工操作具有更高的风险评级得分,并且更高的检查得分违规与阳性微生物得分呈正相关。本研究进一步表明,在没有微生物学结果的情况下,仍然可以通过单独分析检查违规情况来计算风险评分。BCCDC的食品安全专家可以利用这些数据将他们的检查时间集中在高风险区域和项目上,以最大限度地延长在现场的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can risk rating tool results be used to predict results of inspection categories of dairy processing plants?
Background: Dairy products are consumed by a large portion of the population. The dairy processing plants (DPP) that produce these perishable products may create health hazards (chemical, physical, biological). In order to minimize any health risks from these products, DPP are inspected by regulating authorities. This study examined secondary data derived from the BCCDC dairy program’s semi-quantitative risk ranking tool (RRT) to examine trends over time with DPP inspections, and to assess risk factors within the tool. Methods: RRT based data from individual DPP inspections from 2015 through 2018 were entered into a master spreadsheet. The RRT has two overall risk categories, inherent and measured risk. Inherent risk categories in the tool were sourced from surveys of dairy plants, while measured risks in the tool were sourced from inspection visits (routine and in-depth), environmental and food result submissions from dairy plants and inspectors, and based on compliance and history. In total, 107 items were assessed within the eight categories. Descriptive analyses were conducted, and statistical analyses performed using NCSS 12 software (NCSS, 2018). Results: A total of 128 inspection reports from 30 different DPP were included in this study. From these inspections, 65% were considered low risk, 12% moderate and 23% high risk. DPP that were located on-farm were found to have significantly higher overall inspection risk scores than dairy plants located off-farm (average on-farm inspection risk ranking score = 694; average off-farm inspection risk ranking score = 153; p=0.0003, power=95%). When the microbiological scores category, derived from environmental swabs and food submissions, were compared to the inspection score category, these categories were statistically significantly correlated (p=0.0000, power=100%); when inspection score increases, so too does microbiological score. Higher risk scores were also found in DPP producing more than one category of dairy product (comparing one product versus 6 or 7 products, p=0.009, power=76%). Conclusion: Dairy inspections ensure DPP follow good manufacturing practices and therefore help to protect the population from disease outbreaks or other contaminations. This study demonstrated that there is increased risk of having a dairy processing facility located on-farm, that more complex dairy processing operations that produce more than one type of dairy product have higher risk rating scores and that higher inspection score violations positively correlated to positive microbiological scores. This study further showed that in the absence of microbiological results, a risk score could still be calculated by analyzing the inspection violations alone. The Food Safety Specialists at the BCCDC can use this data to focus their inspection time on higher risk areas and items to maximize time spent out in the field.  
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