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国家食品安全风险监测技术机构综合能力评价指标体系构建:基于德尔菲专家咨询法

Construction of a comprehensive capability evaluation indicator system for national food safety risk monitoring technical institutions: based on the Delphi method

  • 摘要:
    目的 构建国家食品安全风险监测技术机构综合能力评价指标体系,为开展监测机构食品安全风险监测能力评价提供工具。
    方法 通过文献研究法结合实际监测工作从资源保障、人员能力和监测技术3个维度初步构建国家食品安全风险监测技术机构综合能力评价指标体系,遴选12名从事相关领域的专家进行2轮德尔菲专家咨询,并应用层次分析法计算各级指标的权重。
    结果 2轮咨询的专家积极系数分别为100.0%和83.33%,专家权威系数分别为0.803和0.798,专家意见的协调系数分别为0.187和0.287(均P<0.001),专家意见的协调性较好;经过专家咨询后构建的国家食品安全风险监测技术机构综合能力评价指标体系包括一级指标3个、二级指标9个和三级指标36个,专家在2轮咨询中对各指标的重要性评分分别为(4.35±0.93)和(4.42±0.66)分,代表性评分分别为(4.19±0.96)和(4.29±0.66)分,可行性评分分别为(4.28±0.99)和(4.38±0.74)分,第1轮和第2轮重要性、代表性、可行性评分的CV分别为0.08~0.45和0.02~0.22、0.06~0.40和0.05~0.19、0.13~0.40和0.07~0.23;在构建的评价指标体系中,一级指标权重为0.164 ~ 0.539,二级指标权重为0.121~0.667,二级指标组合权重为0.027~0.360,三级指标权重为0.046~0.667,三级指标组合权重为0.002~0.129。
    结论 本研究构建的国家食品安全风险监测技术机构综合能力评价指标体系具有良好的科学性和可靠性,可作为相关监测技术机构可靠、量化的综合能力评价工具。

     

    Abstract:
    Objective  To establish a comprehensive capability evaluation indicator system for national food safety risk monitoring technical institutions, providing a tool for assessing the food safety risk monitoring capabilities of monitoring institutions.
    Methods Through literature review combined with practical monitoring work, a comprehensive capability evaluation indicator system for national food safety risk monitoring technical institutions was preliminarily constructed across three dimensions: resource support, personnel capability, and monitoring technology. Twelve experts in relevant fields were selected for two rounds of Delphi expert consultation, and the analytic hierarchy process (AHP) was adopted to calculate the weights of indicators at each level.
    Results The two rounds of expert consultation showed the expert positive coefficients of 100.0% and 83.33%, the expert authority coefficients of 0.803 and 0.798, and the Kendall′s coefficients of concordance of 0.187 and 0.287 (indicating good concordance among expert opinions), respectively (all P < 0.001). Following expert consultation, a comprehensive capability evaluation indicator system for national food safety risk monitoring technical institutions was established, comprising 3 first-level indicators, 9 second-level indicators, and 36 third-level indicators. In the two rounds of consultation, experts rated the importance of each indicator at (4.35 ± 0.93) and (4.42 ± 0.66) points, the representativeness at (4.19 ± 0.96) and (4.29 ± 0.66) points, and the feasibility at (4.28 ± 0.99) and (4.38 ± 0.74) points, respectively. The coefficients of variation (CV) for importance, representativeness, and feasibility scores in the first and second rounds were within the ranges of 0.08–0.45 and 0.02–0.22, 0.06–0.40 and 0.05–0.19, and 0.13–0.40 and 0.07–0.23, respectively. Within the constructed evaluation framework, first-level indicator weights ranged from 0.164 to 0.539, second-level indicator weights from 0.121 to 0.667, second-level indicator combination weights from 0.027 to 0.360, third-level indicator weights from 0.046 to 0.667, and third-level indicator combination weights from 0.002 to 0.129.
    Conclusions The comprehensive capability evaluation indicator system for national food safety risk monitoring technical institutions developed in this study demonstrates sound scientific validity and reliability. It can serve as a dependable, quantitative tool for assessing the overall capabilities of relevant monitoring technical institutions.

     

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