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王佳, 袁蓓蓓, 李正懋, 王志锋. 中国一线城市卫生应急管理评估体系比较分析[J]. 中国公共卫生, 2019, 35(10): 1373-1378. DOI: 10.11847/zgggws1125501
引用本文: 王佳, 袁蓓蓓, 李正懋, 王志锋. 中国一线城市卫生应急管理评估体系比较分析[J]. 中国公共卫生, 2019, 35(10): 1373-1378. DOI: 10.11847/zgggws1125501
Jia WANG, Bei-bei YUAN, Zheng-mao LI, . Indicator systems for public health emergency management assessment in first-tier cities in China: a comparative analysis[J]. Chinese Journal of Public Health, 2019, 35(10): 1373-1378. DOI: 10.11847/zgggws1125501
Citation: Jia WANG, Bei-bei YUAN, Zheng-mao LI, . Indicator systems for public health emergency management assessment in first-tier cities in China: a comparative analysis[J]. Chinese Journal of Public Health, 2019, 35(10): 1373-1378. DOI: 10.11847/zgggws1125501

中国一线城市卫生应急管理评估体系比较分析

Indicator systems for public health emergency management assessment in first-tier cities in China: a comparative analysis

  • 摘要:
      目的  比较分析中国一线城市卫生应急管理评估体系。
      方法  全面检索中国知网(CNKI)、万方数据知识服务平台(WANFANG DATA)和维普数据库(VIP)),限定从建库的1988年1月 — 2019年3月,制定纳入、排除标准,采用框架整合法,从卫生应急管理主体分类角度出发,对中国一线城市的卫生应急管理评估体系进行整合。
      结果  纳入6篇研究,以政府和卫生行政部门、疾病预防控制机构、医疗卫生机构、卫生监督机构为卫生应急管理主体,共性指标分别为8、10、4和5项。个性指标更为细致化。
      结论  共性指标统一性和引领性仍需加强,个性指标兼容性和关联性有待完善,应用性和推广性还需提高。另外,中国卫生应急管理评估体系多为“结果”式评估,“过程”式的评估体系和作用机制的探索还有极大的研究空间。

     

    Abstract:
      Objective  To compare indicator systems for public health emergency management assessment applied in first-tier cities in China.
      Methods  From China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform (WANFANG DATA) and VIP database, we comprehensively and systematically searched literatures on indicator system for public health emergency management assessment in 4 first-tier cities (Beijing, Shanghai, Guangzhou and Shenzhen) published from January 1988 through March 2019. The retrieved literatures were screened based on inclusion and exclusion criteria with NoteExpress and the literatures were processed with NVivo 12.0 and framework integration method. The extracted information from the literatures were analyzed qualitatively in line with the four types of administrative agencies in public health emergency management.
      Results  The study finally included 6 literatures. In the indicator systems applied in the four cities, there were 8 common indicators for the government and administrative agencies, 10 for disease prevention and control institutions, 4 for medical institutions, and 5 for public health inspection institutes, respectively. There were more specific indicators for the assessment systems applied in the four cities.
      Conclusion  For the public health emergency management assessment indicator systems, the unification and guiding characteristics of the common indicators should be reinforced; the compatibility and associativity of specific indicators need to be improved; and the applicability of the indicator system should be promoted.

     

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