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胡凌霞, 刘智勇, 严峰, 明珠, 王皓, 陶红兵. 数字化环境下区域卫生应急能力评估指标体系构建[J]. 中国公共卫生, 2023, 39(3): 357-364. DOI: 10.11847/zgggws1139039
引用本文: 胡凌霞, 刘智勇, 严峰, 明珠, 王皓, 陶红兵. 数字化环境下区域卫生应急能力评估指标体系构建[J]. 中国公共卫生, 2023, 39(3): 357-364. DOI: 10.11847/zgggws1139039
HU Ling-xia, LIU Zhi-yong, YAN Feng, . Construction of an index system for evaluation on regional health emergency response capability in digital environment[J]. Chinese Journal of Public Health, 2023, 39(3): 357-364. DOI: 10.11847/zgggws1139039
Citation: HU Ling-xia, LIU Zhi-yong, YAN Feng, . Construction of an index system for evaluation on regional health emergency response capability in digital environment[J]. Chinese Journal of Public Health, 2023, 39(3): 357-364. DOI: 10.11847/zgggws1139039

数字化环境下区域卫生应急能力评估指标体系构建

Construction of an index system for evaluation on regional health emergency response capability in digital environment

  • 摘要:
      目的  构建数字化环境下区域卫生应急能力评估指标体系,为帮助决策者科学合理地引导卫生应急体系的建设方向提供参考依据。
      方法  通过文献研究初步确定数字化环境下区域卫生应急能力评估指标体系,采用德尔菲专家咨询法征询15名卫生应急领域相关专家的意见后采用界值法对指标进行筛选,并采用层次分析法和比例分配法进行指标权重的计算。
      结果  2轮专家的积极系数均达到100 %,专家的权威系数分别为0.823和0.840,专家意见的协调系数分别为0.141和0.303(均P < 0.05),专家意见的协调性较好;经过2轮专家咨询后建立了数字化环境下区域卫生应急能力评估指标体系,该指标体系包括一级指标8个、二级指标32个、三级指标172个;一级指标中“应急保障”的权重最高(0.1961),二级指标中“培训”的权重最高(0.5903),三级指标中“卫生健康行政部门是否能够及时将处置和救援相关情况报本级政府和上级卫生健康行政部门”的权重最高(1.0000)。
      结论  本研究构建的数字化环境下区域卫生应急能力评估指标体系层次分明、权重合理、契合时代需求,可应用于数字化环境下区域卫生应急能力的评估管理与决策。

     

    Abstract:
      Objective   To establish an index system for the evaluation on regional health emergency response capability in digital environment and to provide a reference to decision makers in relevant management practice.
      Methods  An index system for evaluating regional health emergency response capacity in digital environment was preliminarily established through literature research. Two rounds of Delphi expert consultation were conducted among 15 professionals to assess the 16 first, 61 second, and 138 third level indexes covering 3 dimensions of process, structure and outcome. All the indexes were screened with boundary value method based on the experts′ assessments and the weight of each index was calculated with analytic hierarchy process (AHP) and proportional distribution method.
      Results  For the two rounds of consultation, the positive coefficients of experts reached 100%; the authority coefficients of the experts were 0.823 and 0.840 and the coordination coefficients of expert opinions were 0.141 and 0.303 (all P < 0.05). The finally established index system includes 8 first, 32 second, and 172 third level indicators, with the highest weight of 0.1961 for ‘emergency support′, 0.5903 for ‘training′, and 1.0000 for ‘local health administrative department′s timely report of information on rapid manipulation of a regional health emergency to local government and to superior health administrative department′s among the first, second, third level indicators, respectively.
      Conclusion  The established index system for the evaluation on regional health emergency response capability in digital environment is of clear hierarchy, indicators with reasonable weights, and practicability and the index system could be used in the evaluation-related survey, management and decision-making.

     

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