Construction of a Monitoring Ability Evaluation Indicator System for Emerging Diseases

Jingzhi Li, Ju Yan, Yundan Cheng, Xiaoling Zhu, Xiaoxia Jiang
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Abstract

Objective: To construct a monitoring ability evaluation indicator system for emerging infectious diseases. Methods: This study adopted two rounds of expert consultation among 11 senior public health professionals using the Delphi method and the analytic hierarchy process (AHP) to determine the indicators and their weight coefficients. Results: The experts were aged 45.18 ± 8.44 years and had worked for 20.45 ± 9.97 years. All had a bachelor’s degree or above. The expert active coefficients for both rounds of consultation were 100%. The coefficient of expert authority was 0.861, and the coefficient of expert coordination was 0.4 for the first and second rounds of consultation (P < 0.01). After two rounds of expert consultation, the constructed monitoring ability evaluation indicator system consisted of 5 first-level indicators, 17 second-level indicators, and 45 third-level indicators. The five first-level indicators were epidemic discovery ability, epidemic report ability, laboratory testing ability, monitoring system operation guarantee, and comprehensive personnel ability. The top five secondary indicators were timely identification of infected persons, epidemic report time, timely laboratory testing, normalized monitoring ability, and funding. The maximum eigenvector (λmax) was 5.069, the consistency index (CI) was 0.017, the consistency ratio (CR) was 0.016, and CR < 0.1. Conclusion: The evaluation index system for monitoring the capability of emerging infectious diseases has scientific validity and rationality, and it can be used to evaluate the monitoring capability of emerging infectious diseases.
构建新发疾病监测能力评估指标系统
目的:构建新发传染病监测能力评估指标体系:构建新发传染病监测能力评估指标体系。方法:本研究采用德尔菲法和层次分析法(AHP)对 11 名资深公共卫生专业人员进行了两轮专家咨询,以确定指标及其权重系数。结果:专家年龄为(45.18±8.44)岁,工作年限为(20.45±9.97)年。所有专家均具有本科及以上学历。两轮咨询的专家活跃系数均为 100%。第一轮和第二轮会诊的专家权威系数为 0.861,专家协调系数为 0.4(P < 0.01)。经过两轮专家咨询,构建的监测能力评价指标体系包括 5 个一级指标、17 个二级指标和 45 个三级指标。5 个一级指标分别是疫情发现能力、疫情报告能力、实验室检测能力、监测系统运行保障能力和人员综合能力。前五个二级指标分别是感染者及时发现能力、疫情报告时间、实验室检测及时率、常态化监测能力和经费投入。最大特征向量(λmax)为 5.069,一致性指数(CI)为 0.017,一致性比值(CR)为 0.016,CR < 0.1。结论新发传染病监测能力评价指标体系具有科学性和合理性,可用于新发传染病监测能力评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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