Evidence map›Paper›PMID 42247634›Full record

ArticleJMIR medical informatics2026

Knowledge, Attitudes, Practices, Barriers, and Promotional Strategies Related to Clinical Data Interchange Standards Consortium Adoption Among Clinical Data Management Professionals: Semiqualitative Interview Study.

Gaoqiang Xie, Jing He, Wenyao Ma, Phyo Kyaw Myint, Chongsheng Wu, Yangfeng Wu

Abstract read
In one paragraph

Article in JMIR medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Gaoqiang XieDepartment of Data Management, Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, No.38, Xueyuan Road, Haidian District, Beijing, 100191, China, 86 01082805836, 86 010-82805836.ORCID 0000-0002-4123-3535
Jing HeDepartment of Data Management, Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, No.38, Xueyuan Road, Haidian District, Beijing, 100191, China, 86 01082805836, 86 010-82805836.ORCID 0009-0004-0422-2310
Wenyao MaDepartment of Data Management, Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, No.38, Xueyuan Road, Haidian District, Beijing, 100191, China, 86 01082805836, 86 010-82805836.ORCID 0009-0000-4833-5991
Phyo Kyaw MyintAberdeen Cardiovascular & Diabetes Centre, University of Aberdeen, Aberdeen, Scotland, United Kingdom.ORCID 0000-0003-3852-6158
Chongsheng WuBeijing Data Science Express Consulting Co, Ltd, Beijing, China.ORCID 0009-0007-4766-1518
Yangfeng WuDepartment of Data Management, Clinical Research Institute, Institute of Advanced Clinical Medicine, Peking University, No.38, Xueyuan Road, Haidian District, Beijing, 100191, China, 86 01082805836, 86 010-82805836.ORCID 0000-0002-4451-1932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: National Medical Products Administration of China has actively encouraged organizations to adopt the Clinical Data Interchange Standards Consortium (CDISC) for clinical data submission since 2020. Objective: This study aimed to explore the knowledge, attitudes, practices, and barriers to using the CDISC among data managers and to propose strategies for promoting CDISC use in China. Methods: A total of 38 participants as leaders or experts of data management departments and teams were recruited from 38 organizations in China from April to August 2022. Data on knowledge, attitude, practice, and barriers to the CDISC, as well as strategies for its dissemination, were collected using a semiqualitative interview guide. For textual data, thematic analysis was conducted using a hybrid approach integrating constructivist and deductive logic, involving iterative coding and theme saturation checks. Results: Of the 38 participants, 36 (94.7%) mentioned that the National Medical Products Administration of China specifying CDISC standards used in submitting data is important for clinical trials, 32 (84.2%) supported this policy, and 29 (76.3%) had experience with CDISC-compliant submissions. The primary barriers to CDISC implementation included high costs, shortage of specialized expertise and training resources, inadequate localization support, inherent complexity of CDISC standards, incomplete standard specifications, lack of detailed regulatory guidelines, low overall proficiency in clinical research, heterogeneity among enterprises and institutions, and challenges related to organizational survival. Corresponding promotional strategies included cost reduction, strengthened publicity and training, adoption of the CDISC from clinical study design, development of supporting tools, integration of traditional Chinese medicine terminology into the CDISC, refinement of CDISC standards, formulation of detailed regulatory guidelines, establishment of a review system, and promotion of collaboration among enterprises and institutions. Conclusions: The CDISC has been recognized, adopted, and supported by most data management experts in China. However, key barriers to its widespread implementation continue to include cost burdens, expertise shortages, and inadequate technological, social, and policy support. Strategies to advance CDISC dissemination should prioritize improving cost-effectiveness, strengthening outreach and training, and refining regulatory frameworks. These findings provide valuable references for international regulators and sponsors in advancing the global adoption of the CDISC.

Indexed as

Data ManagementHealth Knowledge, Attitudes, PracticeChinaFemaleHumansInterviews as TopicbarriersCDISCClinical Data Interchange Standards Consortiumdata managementKAPknowledge, attitude, and practicepromotional strategies

Identifiers

PMID42247634
PMCPMC13240979

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.