Yishu Liu, Shaoming Xiao, Xuejun Yin, Pei Gao, Jing Wu, Shangzhi Xiong, Carinna Hockham, Thomas Hone, Jason H Y Wu, Sallie Anne Pearson, Bruce Neal, Maoyi Tian
{"title":"Nation-Wide Routinely Collected Health Datasets in China: A Scoping Review.","authors":"Yishu Liu, Shaoming Xiao, Xuejun Yin, Pei Gao, Jing Wu, Shangzhi Xiong, Carinna Hockham, Thomas Hone, Jason H Y Wu, Sallie Anne Pearson, Bruce Neal, Maoyi Tian","doi":"10.3389/phrs.2022.1605025","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objectives:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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. <b>Conclusion:</b> 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.</p>","PeriodicalId":35944,"journal":{"name":"PUBLIC HEALTH REVIEWS","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532513/pdf/","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PUBLIC HEALTH REVIEWS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/phrs.2022.1605025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 1
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.