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Liu Y, Xiao S, Yin X, Gao P, Wu J, Xiong S, Hockham C, Hone T, Wu JHY, Pearson SA, Neal B, Tian M. Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review. Public Health Rev 2022; 43:1605025. [PMID: 36211230 PMCID: PMC9532513 DOI: 10.3389/phrs.2022.1605025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 09/12/2022] [Indexed: 11/28/2022] Open
Abstract
Objectives: The potential for using routinely collected data for medical research in China remains unclear. We sought to conduct a scoping review to systematically characterise nation-wide routinely collected datasets in China that may be of value for clinical research. Methods: We searched public databases and the websites of government agencies, and non-government organizations. We included nation-wide routinely collected databases related to communicable diseases, non-communicable diseases, injuries, and maternal and child health. Database characteristics, including disease area, data custodianship, data volume, frequency of update and accessibility were extracted and summarised. Results: There were 70 databases identified, of which 46 related to communicable diseases, 20 to non-communicable diseases, 1 to injury and 3 to maternal and child health. The data volume varied from below 1000 to over 100,000 records. Over half (64%) of the databases were accessible for medical research mostly comprising communicable diseases. Conclusion: There are large quantities of routinely collected data in China. Challenges to using such data in medical research remain with various accessibility. The potential of routinely collected data may also be applicable to other low- and middle-income countries.
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Affiliation(s)
- Yishu Liu
- George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
| | - Shaoming Xiao
- The George Institute for Global Health, Health Science Centre, Peking University, Beijing, China
| | - Xuejun Yin
- George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
| | - Pei Gao
- School of Public Health, Health Science Center, Peking University, Beijing, China
| | - Jing Wu
- National Center for Chronic and Non-Communicable Diseases Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shangzhi Xiong
- George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
| | - Carinna Hockham
- The George Institute for Global Health, UK, London, United Kingdom
| | - Thomas Hone
- School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Jason H. Y. Wu
- George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
| | - Sallie Anne Pearson
- Centre for Big Data Research in Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Bruce Neal
- George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
- School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Maoyi Tian
- George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
- School of Public Health, Harbin Medical University, Harbin, China
- *Correspondence: Maoyi Tian,
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