Imperial College London
Portrait Picture

Dr Thomas Hone

Faculty of Medicine, School of Public Health

Lecturer in Global Health Systems Research
 
 
 
//

Contact

 

t.hone

 
 
//

Location

 

Reynolds BuildingCharing Cross Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Liu:2022:10.3389/phrs.2022.1605025,
author = {Liu, Y and Xiao, S and Yin, X and Gao, P and Wu, J and Xiong, S and Hockham, C and Hone, T and Wu, JHY and Pearson, SA and Neal, B and Tian, M},
doi = {10.3389/phrs.2022.1605025},
journal = {Public Health Reviews},
title = {Nation-wide routinely collected health datasets in China: a scoping review},
url = {http://dx.doi.org/10.3389/phrs.2022.1605025},
volume = {43},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Liu,Y
AU  - Xiao,S
AU  - Yin,X
AU  - Gao,P
AU  - Wu,J
AU  - Xiong,S
AU  - Hockham,C
AU  - Hone,T
AU  - Wu,JHY
AU  - Pearson,SA
AU  - Neal,B
AU  - Tian,M
DO  - 10.3389/phrs.2022.1605025
PY  - 2022///
SN  - 0301-0422
TI  - Nation-wide routinely collected health datasets in China: a scoping review
T2  - Public Health Reviews
UR  - http://dx.doi.org/10.3389/phrs.2022.1605025
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000863985500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/100082
VL  - 43
ER  -
Download