Evidence map›Paper›PMID 41469650›Full record

ArticleBMC medical ethics2025

Stakeholder perception of quality management of investigator-initiated clinical trials.

Wenqiang Li, Kailibinuer Ailimu, Nanxi Jia, Hongling Chu, Yiming Zhao, Liyuan Tao, Siyan Zhan, Lin Zeng

Abstract read
In one paragraph

Article in BMC medical ethics, 2025. 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

8 authors.

Wenqiang LiResearch Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.ORCID 0000-0002-3232-0725
Kailibinuer AilimuResearch Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.ORCID 0009-0006-8349-5046
Nanxi JiaResearch Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.ORCID 0009-0006-0345-0391
Hongling ChuResearch Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.ORCID 0000-0003-1846-9192
Yiming ZhaoResearch Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.
Liyuan TaoResearch Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.ORCID 0000-0003-3497-1326
Siyan ZhanResearch Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China.ORCID 0000-0001-7252-5349
Lin ZengResearch Center of Clinical Epidemiology, Peking University Third Hospital, 49 Huayuan North Road, Haidian District, Beijing, 100191, China. zlwhy@163.com.ORCID 0000-0001-8707-5854

Funding

Beijing Municipal Health Science and Technology Achievements and Appropriate Technology Promotion Project BHTPP2022069Capital's Funds for Health Improvement and Research CFH 2024-2G-4097
6 · The paper itself

Abstract

backgroundInvestigator-initiated clinical trials have flourished in China. However, research on stakeholders’ perceptions and management capacity of investigator-initiated clinical trials, which are crucial for optimizing resource utilization, timely identifying barriers affecting high-quality Investigator-initiated clinical trials output, and providing evidence for establishing, improving, and evaluating the quality management system for Investigator-initiated clinical trials, is rare. Our objective is to assess the perception of the standardized quality management of Investigator-initiated clinical trials among stakeholders at different levels of healthcare institutions.

methodsWe conducted a cross-sectional study using an electronic survey designed using REDCap conducted between June and September 2024 in Healthcare institutions of various levels in Beijing, China. Hospital level, education level, years in research, familiarity, distinction ability, medical personnel, research administrators, methodologists, and other personnel were investigated as potential influencing factors. The primary outcomes were the total number of correct answers and weighted correct rates for each domain and all six domains.

resultsA total of 717 individuals participated in the study. The distribution of total correct answers and weighted correct rates across all domains was 20.0 (15.0–23.0) and 0.8 (0.6–0.9), respectively. Participants from higher-level hospitals, those with higher education levels, greater familiarity, and higher distinction ability, and administrators performed significantly better in terms of the total number of correct answers and weighted correct rates across all domains.

conclusionsThe stakeholders performed well overall. However, much room for improvement still exists. Hospital level, education level, familiarity, distinction ability, and the role of research administrators can influence the overall performance of stakeholders. Establishing, improving, and evaluating a quality management system for Investigator-initiated clinical trials in China is crucial.

trial registrationNot applicable.

Indexed as

Biomedical ResearchClinical Trials as TopicResearch PersonnelStakeholder ParticipationTotal Quality ManagementAdultChinaCross-Sectional StudiesFemaleHumansMalePerceptionSurveys and QuestionnairesInvestigator-initiated clinical trialsPerceptionQuality managementStakeholderSurvey

Identifiers

PMID41469650
PMCPMC12865991

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.