Current situation and influencing factors of clinical research data sharing of gastroenterology collaboration network
10.3760/cma.j.cn.113565-20211126-00185
- VernacularTitle:消化内科学科协同网络单位临床研究数据共享现状及影响因素
- Author:
Mo LIU
1
;
Guiling DONG
;
Pei WANG
;
Yuanyuan KONG
Author Information
1. 首都医科大学附属北京友谊医院国家消化中心，北京 100050
- Keywords:
Data Sharing;
Collaboration Network;
Gastroenterology;
Clinicians
- From:
Chinese Journal of Medical Science Research Management
2022;35(4):307-313
- CountryChina
- Language:Chinese
-
Abstract:
Objective:The paper aims to investigate the current situation and influencing factors of clinical research data sharing of gastroenterology collaboration network of Beijing municipal hospitals so as to provide reference basis for establishing data sharing mode of collaboration center.Methods:A total of 13 gastroenterology department of Beijing municipal hospital collaboration network units enrolled the research. Each department selected 10-15 clinicians for a questionnaire survey. A total of 157 valid questionnaires were collected.Results:The awareness rate of public data platform(realized at least one) is 81.5%. The rate of browsing public data platform is 65.6%. The rate of downloading and uploading rare data are 13.4% and 1.3%, respectively. As the level of professional titles increases, the proportion of clinicians realizing and downloading raw data has increased significantly( P<0.05). In this survey, 31.3% clinicians used the sharing data from other hospitals within the research group and 53.5% clinicians indicated that there is the data sharing platform based on hospital information system within their hospital/department. The rate of willing to share clinical data is 73.3%. However, a majority of clinicians are inclined to accept the sharing within the research group/hospital, and they prefer to share their data when their papers or research results are published. Data storage is mainly numerical and text structured data. Sharing risk, sharing platform, sharing system and data itself are the top four factors affecting data sharing. Conclusions:Relevant departments should strive to establish sharing mechanism, build sharing platforms, refine the sharing access qualification and improve the sharing awareness of medical personnel so as to lay a necessary foundation for further open sharing of big data on digestive diseases.
