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[洪灾易发地区县级疾病预防控制中心应急能力评估]

[Assessment on the ability of emergency response at the county center for disease control and prevention level in flooding-prone areas].

作者信息

Chen Wei, Zeng Guang

机构信息

National Center for Tuberculosis Control and Prevention, Chinese Center for Diseases Control and Prevention, Beijing 100050, China.

出版信息

Zhonghua Liu Xing Bing Xue Za Zhi. 2006 Feb;27(2):112-6.

Abstract

OBJECTIVE

To establish a comprehensive assessment model on the ability of emergency response within the public health system in flooding-prone areas.

METHODS

A hierarchy process theory was used to establish the initial assessing framework. Delphi method was used to screen and choose the ultimate indicators and their weights before an assessment model was set up under the 'synthetic scored method' to assess the ability of the emergency response among twenty county public health units. We then used the 'analysis of variation (ANOVA)' methodology to test the feasibility of distinguishing the ability of emergency response among different county health units and correlation analysis was used to assess the independence of indicators in the assessing model.

RESULTS

A comprehensive model was then established including twenty first-class indicators and fifty-six second-class indicators and the degree of ability to emergency response with flooding of public health units was evaluated. There were five public health units having higher, ten having moderate but five with lower levels on emergency response. The assessment model was proved to be a good method in differentiating the ability of public health units, using independent indicators.

CONCLUSION

The assessment model which we established seemed to be practical and reliable.

摘要

目的

建立洪水易发地区公共卫生系统内应急响应能力的综合评估模型。

方法

运用层次分析法理论建立初始评估框架。采用德尔菲法筛选并确定最终指标及其权重,然后在“综合评分法”下建立评估模型,以评估20个县级公共卫生单位的应急响应能力。接着,运用方差分析方法检验区分不同县级卫生单位应急响应能力的可行性,并采用相关性分析评估评估模型中指标的独立性。

结果

建立了一个包含20个一级指标和56个二级指标的综合模型,并对公共卫生单位应对洪水的应急响应能力程度进行了评估。有5个公共卫生单位应急响应能力较高,10个中等,5个较低。该评估模型被证明是一种利用独立指标区分公共卫生单位能力的良好方法。

结论

我们建立的评估模型似乎实用且可靠。

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