1
|
Jia YP, Cao GQ, Zhao R, Zhang Y, He LW, Wei YF, Huang L, Li RL, Gao XD, Jia N, Yang C, Shen F. [Interpretation for the group standards in technical specification for health risk investigation of central air conditioning ventilation system during coronavirus disease 2019 epidemic]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1381-1384. [PMID: 33076588 DOI: 10.3760/cma.j.cn112338-20200514-00722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The central air conditioning ventilation system plays an important role in the air circulation of buildings such as centralized isolation medical observation points and general public buildings. In order to meet the requirements of COVID-19 epidemic prevention and control, Beijing Preventive Medicine Association organized Beijing CDC and other professional institutes to write up the group standard entitled "Technical specification for health risk investigation of central air conditioning ventilation system during the COVID-19 epidemic (T/BPMA 0006-2020)" . According to the particularity of central air conditioning ventilation system risk control during the outbreak of similar respiratory infectious diseases, based on current laws and regulations and the principle of scientific, practical, consistency and normative, 8 key points of risk investigations were summarized, which were the location of fresh air outlet, air conditioning mode, air return mode, air system, air distribution, fresh air volume, exhaust and air conditioner components. The contents, process, method, data analysis and conclusion of the investigation implementation were also defined and unified. It could standardize and guide institutions such as disease control and health supervision to carry out relevant risk managements, and provided solutions and technical supports for such major public health emergencies in city operations.
Collapse
Affiliation(s)
- Y P Jia
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - G Q Cao
- China Academy of Building Research, Institute of Building Environment and Energy, Beijing 100013, China
| | - R Zhao
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Zhang
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - L W He
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y F Wei
- Chaoyang District Center for Disease Prevention and Control, Beijing 100021, China
| | - L Huang
- Dongcheng District Center for Disease Prevention and Control, Beijing 100036, China
| | - R L Li
- Xicheng District Center for Disease Prevention and Control, Beijing 100029, China
| | - X D Gao
- Beijing Municipal Health Supervision Institute, Beijing 100034, China
| | - N Jia
- Dongcheng District Health Supervision Institute, Beijing 100027, China
| | - C Yang
- Dongcheng District Health Supervision Institute, Beijing 100027, China
| | - F Shen
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| |
Collapse
|
2
|
[Good health management practice for chronic diseases (T/CHAA 007-2019)]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:39-41. [PMID: 31914567 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This standard specifies the terms and definitions, processes, components, information systems and information summary, analysis and utilization of health management of major chronic and non-communicable diseases (chronic diseases). It is suitable for medical and health service institutions, health examination institutions and health management-related enterprises to carry out health management services for individuals with major chronic diseases such as cardiovascular diseases, diabetes, cancer, chronic respiratory diseases and so on.
Collapse
|
3
|
Chen JS. [Health management needs standardization]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:6-7. [PMID: 31914561 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This article illustrates that health management, as one of the tools of health service, plays an important role in the control and treatment of chronic diseases as well as the history of health management development in China. It was pointed out that currently the concept of health management is not well established in China and the practice of health management in the Chinese market is quite in a mess. Therefore, there is an urgent need for the standardization of health management practice. The China Health Management Association released an organizational standard entitled "Standard for Chronic Disease Health Management" in November, 2019. It is comprehensive, science-based, easy to use and fit into the Chinese situation and it is expected that it will facilitate the development of health management in China.
Collapse
Affiliation(s)
- J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| |
Collapse
|
4
|
Zheng WJ, Yao HY, Liu JJ, Lyu XZ, Jiang C. [Interpretation for the group standard of Health check-up guide for rural residents]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:18-20. [PMID: 31914564 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
With the acceleration of the population aging in China, the health problems and the demands of health services such as health check-up for rural residents should attract the attention of the whole society. The group standard entitled Health check-up guide for rural residents (T/CHAA 005-2019), was written by experienced researchers from Chinese Center for Disease Control and Prevention and other professional institutes coordinated by Chinese Health Association. The standard aims to establish a service model that takes health information collection as a means, health risk assessment, health risk intervention and information services as the core, improving the health of rural residents as the target.
Collapse
Affiliation(s)
- W J Zheng
- Office for Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Y Yao
- Office for Epidemiology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J J Liu
- Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X Z Lyu
- Publishing House, Chinese Preventive Medicine Association, Beijing 100052, China
| | - C Jiang
- Health for All by All Fund, Beijing Red Cross Foundation, Beijing 100055, China
| |
Collapse
|
5
|
[Health check-up guide for rural residents (T/CHAA 005-2019)]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:37-38. [PMID: 31914566 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This standard stipulates the principles, institutional requirements, inspection items, service modes, data management and utilization requirements for carrying out the health check-up for rural residents. It is applicable to the standardized management of the health check-up for rural residents aged 15 years old and above under the relevant national laws and regulations.
Collapse
|
6
|
Wang X, Chen ZH, Ran L, Duan R, Qin S, Wang H, Zeng M, Zhu FC, Bao CC, Wang L, Liang WL, Li FQ, Qing ZT, Chun H, Jing HQ. [Interpretation for diagnosis of Yersiniosis]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:1048-1051. [PMID: 31594143 DOI: 10.3760/cma.j.issn.0254-6450.2019.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Yersiniosis is one of the "other infectious diarrhea" of the notifiable infectious diseases and also an important food-borne disease. However, it lacked the basis or standard for diagnosis. The Chinese Preventive Medicine Association coordinated experienced researchers from National Institute for Communicable Disease Control and Prevention, China CDC and other institutes to produce the group standard entitled "Diagnosis of Yersiniosis" (T/CPMA 005-2019). Based on the principle of "legality, scientificity, advancement, and feasibility" , the standard gives a clear definition for Yerisiniosis, stipulates diagnosis basis, principles and main differential diagnosis and provides two informative appendixes for epidemiological and clinical characteristics and a normative appendix for laboratory detection. The standard provides accurate basis and methods of Yersiniosis diagnosis for hospitals and CDCs at all levels in China. It will solve the problems that Yersiniosis cannot be clearly diagnosed for clinical cases and in the outbreaks.
Collapse
Affiliation(s)
- X Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z H Chen
- Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - L Ran
- Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - R Duan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - S Qin
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H Wang
- Peking University People's Hospital, Beijing 100044, China
| | - M Zeng
- National Institute for Food and Drug Control, Beijing 102629, China
| | - F C Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - C C Bao
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - L Wang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - W L Liang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F Q Li
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z T Qing
- Zhengzhou Engineering Research Center for Foodborne Pathogens Rapid Detection Reagents, Zhengzhou 450000, China
| | - H Chun
- Subei Mongolian Autonomous County Center for Disease Control and Prevention, Jiuquan 736300, China
| | - H Q Jing
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
7
|
Gong WW, Yu M, Guo Y, Wang M, Lyu J, Yu CQ, Bian Z, Wang H, Tan YL, Pei P, Li LM. [Interpretation for the group standards in technical specification of long-term follow-up for end point in large population-based cohort study]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:756-758. [PMID: 31357793 DOI: 10.3760/cma.j.issn.0254-6450.2019.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Long-term follow-up for end point is an extremely important and arduous task in large population-based cohort studies, which is also the key to the success of large cohort studies. Thus, the fundamental question of the achievements above is how to construct a large population- based cohort in a standardized way. The Chinese Preventive Medicine Association coordinated experienced researchers from Zhejiang Provincial Center for Disease Control and Prevention and other professional institutes to write up the group standard entitled Technical specification of long-term follow-up for end point in large population-based cohort study (T/CPMA 002-2019). The standard is drafted with principles of emphasizing the scientific, normative, applicability, and feasible nature. This group standard recommended the follow-up target population, time, content, methods, quality control, and indicators assessment. The standard aims to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
Collapse
Affiliation(s)
- W W Gong
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - M Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J Lyu
- Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - C Q Yu
- Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y L Tan
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P Pei
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - L M Li
- Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| |
Collapse
|
8
|
Bian Z, Xu X, Yu CQ, Han X, Yu M, Gong WW, Lyu J, Liu YN, Guo Y, Li LM. [Interpretation for the group standards in technical specification of management for field survey in large population-based cohort study]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:753-755. [PMID: 31357792 DOI: 10.3760/cma.j.issn.0254-6450.2019.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Large population-based cohort study is an important resource for population disease prevention and control, the results of which provide scientific basis for individualized treatment and precise prevention, and it is also the key strategic content of precision medicine. The Chinese Preventive Medicine Association coordinated experienced researchers from the Chinese Academy of Medical Sciences and other professional institutes to write up the group standard entitled Technical specification of management for field investigation in large population-based cohort study (T/CPMA 001-2019). Based on the research of large population-based cohort study in China and the principle of scientific, normative, applicable, and feasible, the standard proposed six aspects of management requirements including institutional arrangement, personnel composition, equipment, materials, documents and finance, as well as the basic requirements of the on-site investigation, the requirements of each position and the overall quality control requirements, etc.. The standard aims to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence to improve scientific research level, accelerate scientific research output and provide localization basis for disease prevention and control in China.
Collapse
Affiliation(s)
- Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X Xu
- School of Public Health, Qingdao University, Qingdao 266021, China
| | - C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X Han
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - M Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - W W Gong
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y N Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| |
Collapse
|
9
|
Yu CQ, Liu YN, Lyu J, Bian Z, Tan YL, Guo Y, Tang HJ, Yang X, Li LM. [Interpretation for the group standards in data management for large population-based cohorts]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:17-19. [PMID: 30669725 DOI: 10.3760/cma.j.issn.0254-6450.2019.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Precision medicine became the key strategy in development priority of science and technology in China. The large population-based cohorts become valuable resources in preventing and treating major diseases in the population, which can contribute scientific evidence for personalized treatment and precise prevention. The fundamental question of the achievements above, therefore, is how to construct a large population-based cohort in a standardized way. The Chinese Preventive Medicine Association co-ordinated experienced researchers from Peking University and other well-known institutes to write up two group standards Technical specification of data processing for large population-based cohort study (T/CPMA 001-2018) and Technical specification of data security for large population-based cohort study (T/CPMA 002-2018), on data management. The standards are drafted with principles of emphasizing their scientific, normative, feasible, and generalizable nature. In these two standards, the key principles are proposed, and technical specifications are recommended in data standardization, cleansing, quality control, data integration, data privacy protection, and database security and stability management in large cohort studies. The standards aim to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
Collapse
Affiliation(s)
- C Q Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y N Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Lyu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y L Tan
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing 100730, China
| | - H J Tang
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081
| | - X Yang
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081
| | - L M Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| |
Collapse
|