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Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review
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 d...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532513/ https://www.ncbi.nlm.nih.gov/pubmed/36211230 http://dx.doi.org/10.3389/phrs.2022.1605025 |
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author | Liu, Yishu Xiao, Shaoming Yin, Xuejun Gao, Pei Wu, Jing Xiong, Shangzhi Hockham, Carinna Hone, Thomas Wu, Jason H. Y. Pearson, Sallie Anne Neal, Bruce Tian, Maoyi |
author_facet | Liu, Yishu Xiao, Shaoming Yin, Xuejun Gao, Pei Wu, Jing Xiong, Shangzhi Hockham, Carinna Hone, Thomas Wu, Jason H. Y. Pearson, Sallie Anne Neal, Bruce Tian, Maoyi |
author_sort | Liu, Yishu |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9532513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95325132022-10-06 Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review Liu, Yishu Xiao, Shaoming Yin, Xuejun Gao, Pei Wu, Jing Xiong, Shangzhi Hockham, Carinna Hone, Thomas Wu, Jason H. Y. Pearson, Sallie Anne Neal, Bruce Tian, Maoyi Public Health Rev Public Health Archive 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. Frontiers Media S.A. 2022-09-21 /pmc/articles/PMC9532513/ /pubmed/36211230 http://dx.doi.org/10.3389/phrs.2022.1605025 Text en Copyright © 2022 Liu, Xiao, Yin, Gao, Wu, Xiong, Hockham, Hone, Wu, Pearson, Neal and Tian. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. PHR is edited by the Swiss School of Public Health (SSPH+) in a partnership with the Association of Schools of Public Health of the European Region (ASPHER)+ |
spellingShingle | Public Health Archive Liu, Yishu Xiao, Shaoming Yin, Xuejun Gao, Pei Wu, Jing Xiong, Shangzhi Hockham, Carinna Hone, Thomas Wu, Jason H. Y. Pearson, Sallie Anne Neal, Bruce Tian, Maoyi Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review |
title | Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review |
title_full | Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review |
title_fullStr | Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review |
title_full_unstemmed | Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review |
title_short | Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review |
title_sort | nation-wide routinely collected health datasets in china: a scoping review |
topic | Public Health Archive |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532513/ https://www.ncbi.nlm.nih.gov/pubmed/36211230 http://dx.doi.org/10.3389/phrs.2022.1605025 |
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