Construction of China cardiovascular health index

Cardiovascular disease (CVD) is not only the primary cause of death in developed western countries, but also its disease burden is increasing in China. The purpose of constructing population cardiovascular health index is to monitor, compare and evaluate disease burden, influencing factors and preve...

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Bibliographic Details
Published in:BMC public health 2018-07, Vol.18 (1), p.937-937, Article 937
Main Authors: Jiang, Yingying, Mao, Fan, Li, Yichong, Liu, Jing, Zhang, Yan, Jiang, Yong, Zhao, Dong, Chen, Weiwei, Nicholas, Stephen, Huo, Yong, Ge, Junbo, Wang, Linhong, Zhou, Maigeng
Format: Article
Language:English
Subjects:
Analysis
Analytical hierarchy process (AHP) model
Cardiovascular diseases
China cardiovascular health index (CHI)
Delphi method
Index system
Life expectancy
Monitor
Technical Advance
Weight
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Summary:Cardiovascular disease (CVD) is not only the primary cause of death in developed western countries, but also its disease burden is increasing in China. The purpose of constructing population cardiovascular health index is to monitor, compare and evaluate disease burden, influencing factors and prevention and control levels of Chinese population cardiovascular disease in order to provide evidence to improve population cardiovascular health. This study collected multi-source data and constructed China Cardiovascular Health Index (CHI) using literature review, questionnaire surveys, Delphi method and Analytical Hierarchy Process (AHP) model. China CHI system included 52 indices of 5 dimensions, which were prevalence status of CVD, exposure of risk factors, prevention and control of risk factors, treatment situation and public health policy and service ability. The weights of 5 dimensions from high to low were successively prevention and control of risk factors 0.3656, prevalence status of CVD 0.2070, treatment situation 0.1812, public health policy and service ability 0.1458, and exposure of risk factors 0.1004. China CHI is a comprehensive evaluation system raised to effectively control the prevalence of CVD. In the future, we should strengthen and improve CVD monitoring and big data usage, to ensure these indices to reflect the practical situations and to become utility of controlling CVD.
ISSN:1471-2458
1471-2458
DOI:10.1186/s12889-018-5647-7