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Gap between real-world data and clinical research within hospitals in China: a qualitative study

OBJECTIVE: To investigate the gap between real-world data and clinical research initiated by doctors in China, explore the potential reasons for this gap and collect different stakeholders’ suggestions. DESIGN: This qualitative study involved three types of hospital personnel based on three intervie...

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Autores principales: Jin, Feifei, Yao, Chen, Yan, Xiaoyan, Dong, Chongya, Lai, Junkai, Li, Li, Wang, Bin, Tan, Yao, Zhu, Sainan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778758/
https://www.ncbi.nlm.nih.gov/pubmed/33376160
http://dx.doi.org/10.1136/bmjopen-2020-038375
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author Jin, Feifei
Yao, Chen
Yan, Xiaoyan
Dong, Chongya
Lai, Junkai
Li, Li
Wang, Bin
Tan, Yao
Zhu, Sainan
author_facet Jin, Feifei
Yao, Chen
Yan, Xiaoyan
Dong, Chongya
Lai, Junkai
Li, Li
Wang, Bin
Tan, Yao
Zhu, Sainan
author_sort Jin, Feifei
collection PubMed
description OBJECTIVE: To investigate the gap between real-world data and clinical research initiated by doctors in China, explore the potential reasons for this gap and collect different stakeholders’ suggestions. DESIGN: This qualitative study involved three types of hospital personnel based on three interview outlines. The data analysis was performed using the constructivist grounded theory analysis process. SETTING: Six tertiary hospitals (three general hospitals and three specialised hospitals) in Beijing, China, were included. PARTICIPANTS: In total, 42 doctors from 12 departments, 5 information technology managers and 4 clinical managers were interviewed through stratified purposive sampling. RESULTS: Electronic medical record data cannot be directly downloaded into clinical research files, which is a major problem in China. The lack of data interoperability, unstructured electronic medical record data and concerns regarding data security create a gap between real-world data and research data. Updating hospital information systems, promoting data standards and establishing an independent clinical research platform may be feasible suggestions for solving the current problems. CONCLUSIONS: Determining the causes of gaps and targeted solutions could contribute to the development of clinical research in China. This research suggests that updating the hospital information system, promoting data standards and establishing a clinical research platform could promote the use of real-world data in the future.
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spelling pubmed-77787582021-01-11 Gap between real-world data and clinical research within hospitals in China: a qualitative study Jin, Feifei Yao, Chen Yan, Xiaoyan Dong, Chongya Lai, Junkai Li, Li Wang, Bin Tan, Yao Zhu, Sainan BMJ Open Health Informatics OBJECTIVE: To investigate the gap between real-world data and clinical research initiated by doctors in China, explore the potential reasons for this gap and collect different stakeholders’ suggestions. DESIGN: This qualitative study involved three types of hospital personnel based on three interview outlines. The data analysis was performed using the constructivist grounded theory analysis process. SETTING: Six tertiary hospitals (three general hospitals and three specialised hospitals) in Beijing, China, were included. PARTICIPANTS: In total, 42 doctors from 12 departments, 5 information technology managers and 4 clinical managers were interviewed through stratified purposive sampling. RESULTS: Electronic medical record data cannot be directly downloaded into clinical research files, which is a major problem in China. The lack of data interoperability, unstructured electronic medical record data and concerns regarding data security create a gap between real-world data and research data. Updating hospital information systems, promoting data standards and establishing an independent clinical research platform may be feasible suggestions for solving the current problems. CONCLUSIONS: Determining the causes of gaps and targeted solutions could contribute to the development of clinical research in China. This research suggests that updating the hospital information system, promoting data standards and establishing a clinical research platform could promote the use of real-world data in the future. BMJ Publishing Group 2020-12-29 /pmc/articles/PMC7778758/ /pubmed/33376160 http://dx.doi.org/10.1136/bmjopen-2020-038375 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Informatics
Jin, Feifei
Yao, Chen
Yan, Xiaoyan
Dong, Chongya
Lai, Junkai
Li, Li
Wang, Bin
Tan, Yao
Zhu, Sainan
Gap between real-world data and clinical research within hospitals in China: a qualitative study
title Gap between real-world data and clinical research within hospitals in China: a qualitative study
title_full Gap between real-world data and clinical research within hospitals in China: a qualitative study
title_fullStr Gap between real-world data and clinical research within hospitals in China: a qualitative study
title_full_unstemmed Gap between real-world data and clinical research within hospitals in China: a qualitative study
title_short Gap between real-world data and clinical research within hospitals in China: a qualitative study
title_sort gap between real-world data and clinical research within hospitals in china: a qualitative study
topic Health Informatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778758/
https://www.ncbi.nlm.nih.gov/pubmed/33376160
http://dx.doi.org/10.1136/bmjopen-2020-038375
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