Study on construction and application of technology system of chronic diseases and risk factor surveillance in China
10.3760/cma.j.cn112338-20210104-00002
- VernacularTitle:中国慢性病及危险因素监测创新技术体系构建与应用研究
- Author:
Limin WANG
1
;
Mei ZHANG
;
Maigeng ZHOU
;
Yong JIANG
;
Yichong LI
;
Zhengjing HUANG
;
Zhenping ZHAO
;
Xiao ZHANG
;
Chun LI
;
Linhong WANG
Author Information
1. 中国疾病预防控制中心慢性非传染性疾病预防控制中心，北京 100050
- Keywords:
Chronic diseases and risk factors surveillance;
Technical system;
Promotion;
Application
- From:
Chinese Journal of Epidemiology
2021;42(7):1154-1159
- CountryChina
- Language:Chinese
-
Abstract:
To study and establish a set technology systems of sampling, investigation, quality control, and data analysis of complex sampling for chronic diseases and risk factor surveillance in China based on the requirements of the WHO and China's national conditions, and provide evidence for the policy making and prevention and control evaluation of chronic diseases and technical support for the research of chronic diseases. Through the study of complex sampling technique, adjustment of surveillance points and evaluation of their representatives, a national and provincial representative surveillance system and a complex weighted data analysis were established. According to the relevant plans, actions, and policies in China and other countries, the surveillance content and index system were studied and constructed, which was in line with China's national conditions, "1 + X" steps surveillance, covering the content of questionnaire , physical measurement, and laboratory testing. Based on modern information technology, a three-level platform of information collection and a multi-center laboratory quality control technology system were established, including sampling, information collection, biological sample management, quality control, and result display. Relying on the above research techniques, a national epidemiological investigation was conducted in China, which covered cerebrovascular disease, mental disorders, digestive system disease, and diabetes complications, to obtain the national representative data. This study reflected the innovation of "combination of medicine and prevention" and multi department cooperation in the fields of clinical medicine and public health and provided some big data for the health policy making and the evaluation of the effects of chronic disease prevention and control.
