Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study

Objectives There is an increasing trend in the use of electronic health records (EHRs) for clinical research. However, more knowledge is needed on how to assure and improve data quality. This study aimed to explore healthcare professionals’ experiences and perceptions of barriers and facilitators of...

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Main Authors: Hongling Chu, Nan Li, Yiming Zhao, Kaiwen Ni, Lin Zeng
Format: Article
Language:English
Published: BMJ Publishing Group 2019-07-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/9/7/e029314.full
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author Hongling Chu
Nan Li
Yiming Zhao
Kaiwen Ni
Lin Zeng
author_facet Hongling Chu
Nan Li
Yiming Zhao
Kaiwen Ni
Lin Zeng
author_sort Hongling Chu
collection DOAJ
description Objectives There is an increasing trend in the use of electronic health records (EHRs) for clinical research. However, more knowledge is needed on how to assure and improve data quality. This study aimed to explore healthcare professionals’ experiences and perceptions of barriers and facilitators of data quality of EHR-based studies in the Chinese context.Setting Four tertiary hospitals in Beijing, China.Participants Nineteen healthcare professionals with experience in using EHR data for clinical research participated in the study.Methods A qualitative study based on face-to-face semistructured interviews was conducted from March to July 2018. The interviews were audiorecorded and transcribed verbatim. Data analysis was performed using the inductive thematic analysis approach.Results The main themes included factors related to healthcare systems, clinical documentation, EHR systems and researchers. The perceived barriers to data quality included heavy workload, staff rotations, lack of detailed information for specific research, variations in terminology, limited retrieval capabilities, large amounts of unstructured data, challenges with patient identification and matching, problems with data extraction and unfamiliar with data quality assessment. To improve data quality, suggestions from participants included: better staff training, providing monetary incentives, performing daily data verification, improving software functionality and coding structures as well as enhancing multidisciplinary cooperation.Conclusions These results provide a basis to begin to address current barriers and ultimately to improve validity and generalisability of research findings in China.
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spelling doaj-art-c161d651f98f418a9379b8fef4e20b282025-08-20T02:01:57ZengBMJ Publishing GroupBMJ Open2044-60552019-07-019710.1136/bmjopen-2019-029314Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative studyHongling Chu0Nan Li1Yiming Zhao2Kaiwen Ni3Lin Zeng4Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China1The University of Texas MD Anderson Cancer Center, Houston, TX, USAHunan Cancer Hospital/the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, ChinaResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, ChinaClinical Epidemiology Research Center, Peking University Third Hospital, Beijing, ChinaObjectives There is an increasing trend in the use of electronic health records (EHRs) for clinical research. However, more knowledge is needed on how to assure and improve data quality. This study aimed to explore healthcare professionals’ experiences and perceptions of barriers and facilitators of data quality of EHR-based studies in the Chinese context.Setting Four tertiary hospitals in Beijing, China.Participants Nineteen healthcare professionals with experience in using EHR data for clinical research participated in the study.Methods A qualitative study based on face-to-face semistructured interviews was conducted from March to July 2018. The interviews were audiorecorded and transcribed verbatim. Data analysis was performed using the inductive thematic analysis approach.Results The main themes included factors related to healthcare systems, clinical documentation, EHR systems and researchers. The perceived barriers to data quality included heavy workload, staff rotations, lack of detailed information for specific research, variations in terminology, limited retrieval capabilities, large amounts of unstructured data, challenges with patient identification and matching, problems with data extraction and unfamiliar with data quality assessment. To improve data quality, suggestions from participants included: better staff training, providing monetary incentives, performing daily data verification, improving software functionality and coding structures as well as enhancing multidisciplinary cooperation.Conclusions These results provide a basis to begin to address current barriers and ultimately to improve validity and generalisability of research findings in China.https://bmjopen.bmj.com/content/9/7/e029314.full
spellingShingle Hongling Chu
Nan Li
Yiming Zhao
Kaiwen Ni
Lin Zeng
Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study
BMJ Open
title Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study
title_full Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study
title_fullStr Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study
title_full_unstemmed Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study
title_short Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study
title_sort barriers and facilitators to data quality of electronic health records used for clinical research in china a qualitative study
url https://bmjopen.bmj.com/content/9/7/e029314.full
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