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中国精品科技期刊2020
房军,曲佳明,张爱君,等. 食品安全突发事件应急响应效果评估标准体系的建立:一项德尔菲共识研究[J]. 华体会体育,2022,43(10):16−22. doi: 10.13386/j.issn1002-0306.2021090158.
引用本文: 房军,曲佳明,张爱君,等. 食品安全突发事件应急响应效果评估标准体系的建立:一项德尔菲共识研究[J]. 华体会体育,2022,43(10):16−22. doi: 10.13386/j.issn1002-0306.2021090158.
FANG Jun, QU Jiaming, ZHANG Aijun, et al. Establishment of the Standard System for Evaluating the Effectiveness of Emergency Response to Food Safety Emergencies: A Delphi Consensus Study[J]. Science and Technology of Food Industry, 2022, 43(10): 16−22. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021090158.
Citation: FANG Jun, QU Jiaming, ZHANG Aijun, et al. Establishment of the Standard System for Evaluating the Effectiveness of Emergency Response to Food Safety Emergencies: A Delphi Consensus Study[J]. Science and Technology of Food Industry, 2022, 43(10): 16−22. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021090158.

食品安全突发事件应急响应效果评估标准体系的建立:一项德尔菲共识研究

Establishment of the Standard System for Evaluating the Effectiveness of Emergency Response to Food Safety Emergencies: A Delphi Consensus Study

  • 摘要: 目的:为建立食品安全突发事件应急响应效果评估标准体系,并得到食品安全突发事件应对评价指数。方法:采用德尔菲专家评价法,确定评价体系的各项具体指标内容。应用四分位距与肯德尔一致性系数作为判断专家意见一致性的统计量。通过统计各专家对各指标的重要性评分,确认各指标的权重,得出食品安全突发事件应对评价指数的计算公式。结果:Kendall’ W≥0.3及IQRs≤1标志着各位专家的意见达成了统一,统计学显著性设定为P<0.05。经过三轮专家讨论,课题组共确定了8个一级指标(包括:1.应急准备、2.监测预警、3.报告通报等)、21个二级指标(包括:11.应急预案建设、12.应急机制建设、13.应急演练实施等)以及49个三级指标(包括:111.相应层级政府及相关部门应急预案制修订情况、112.相应涉事单位针对所发生事件(故)是否制定应急预案、121.应急指挥机构设置情况等)。在对各指标的重要性评分结果进行统计分析后,得到了各指标的权重,由此构建出评价体系模型。结论:本研究确定了食品安全事件应急响应效果评价标准体系的各项具体内容与权重,得到了量化指数。该体系可作为评价食品安全突发事件应急响应工作的有效工具。

     

    Abstract: Objective: To get the standard system for evaluating the effectiveness of emergency response to food safety emergencies and the index for evaluating the response to food safety emergencies. Method: Each specific index content of the evaluation system was determined with the Delphi method. The interquartile distance and Kendall's consistency coefficient were applied as the statistical quantities for judging the consistency of experts’ opinions. The importance ratings of the indicators by experts were calculated to confirm the weights of each indicator, and the formula for calculating the food safety emergency response evaluation index was derived. Result: Consensus was obtained, if the IQR was less than 1 and Kendall’ W was larger than 0.3 (statistical significance was set at P<0.05). 8 primary indicators (1.Emergency preparedness, 2.Monitoring and early warning, 3.Report and announcement, et al.), 21 secondary indicators (11.Establishment of emergency plan, 12.Establishment of emergency response mechanism, 13.Implementation of emergency drills, et al.) and 49 tertiary indicators (111.The corresponding level of government and related departments to develop and revise emergency plans, 112.The relevant departments involved in the accident for the occurrence of whether to develop emergency plans, 121.Emergency command structure settings, et al.) were identified after three rounds of discussions. The evaluation system model, including the weights of each indicator, was established based on the statistics on the importance ratings. Conclusion: The specific contents and weights of the food safety emergency response evaluation criteria system were determined, and the quantitative index was obtained in this study. The emergency response work of food safety emergencies could be evaluated better.

     

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