Evidence map›Paper›PMID 41730197›Full record

ArticleJMIR medical education2026

The Design and Evaluation of an Online Continuing Medical Education App for Medical Professionals in China: Quantitative Study.

Xu Zhang, Xianying He, Yuntian Chu, Dongqing Liu, Minzhao Lyu, Weiyi Wang, Haotian Chen, Meihao Ji, Fangfang Cui, Jie Zhao

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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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

10 authors.

Xu Zhang *National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0009-0003-4624-8175
Xianying He *National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0000-0001-6918-9997
Yuntian ChuNational Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0000-0001-8931-7917
Dongqing LiuNational Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0000-0002-8669-2946
Minzhao LyuSchool of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia.ORCID 0000-0001-8677-248X
Weiyi WangNational Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0000-0003-2995-9613
Haotian ChenNational Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0000-0002-8858-6477
Meihao JiNational Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0009-0004-4786-8875
Fangfang CuiNational Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0000-0002-1870-7907
Jie ZhaoNational Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, 1st Jianshe Road, Zhengzhou, 45002, China, 8637167966286.ORCID 0000-0003-1168-8384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As an emerging delivery mode of education, online continuing medical education (CME) increases the accessibility of high-quality medical training for professionals and students in China. Guoyuan (meaning "nationwide" in Chinese) is an online CME platform delivered via a mobile app and operated by the National Telemedicine Center of China since 2018, serving as an illustrative case of mobile online CME implementation. Objective: We identified trends in the adoption and usage of the Guoyuan mobile online CME platform from 2018 to 2023 and provided evidence for the application and optimization of online CME. Methods: We analyzed yearly usage data of the Guoyuan mobile app (The First Affiliated Hospital of Zhengzhou University) in 2018-2023 and collected surveys on the satisfaction and recognition of competency enhancement in online CME in each connected hospital in 2023. Using the IBM SPSS, the nonparametric Kruskal-Wallis H test was used to compare attendance across different disciplines, followed by post hoc pairwise comparisons for course types with significant differences and ordinal logistic regression analysis to examine factors influencing satisfaction with the online CME system and perceived competency enhancement among invited doctors. Results: From 2018 to 2023, Guoyuan had 94,537 registered trainees, 1672 published course videos, and 1,878,437 attendances. Attendance was higher for courses in ophthalmology, otolaryngology, and pathology than in other disciplines (median attendance 610, IQR 105-2055 vs 283, IQR 106-690 participants). Based on a sample size of 245 participants, ordinal regression analysis showed that discipline category, professional title, and working years significantly influenced satisfaction. General practitioners showed lower overall satisfaction than internal medicine doctors (odds ratio [OR] 0.323, 95% CI 0.110-0.948; OR 0.251, 95% CI 0.087-0.729; and OR 0.196, 95% CI 0.066-0.585; P=.04; P=.01; P=.003). Junior titles reported higher audio-visual clarity (OR 3.151, 95% CI 1.178-8.427; P=.02) and process satisfaction (OR 4.939, 95% CI 1.674-14.576; P=.004). More experienced doctors had higher system usability (OR 1.102, 95% CI 1.012-1.200; P=.03) and process satisfaction (OR 1.141, 95% CI 1.044-1.247; P=.003). Recognition of online CME's benefits was influenced by multiple factors. Greater clinical experience positively predicted recognition of clinical use (OR 1.106, 95% CI 1.004-1.218; P=.04), while an inverse association was observed with age (OR 0.894, 95% CI 0.802-0.996; P=.04). For research-related benefits, positive predictors included discipline category in obstetrics and gynecology compared to internal medicine (OR 6.217, 95% CI 1.236-31.258; P=.03) and junior professional title (OR 3.791, 95% CI 1.231-11.673; P=.02), whereas intensive care unit was a negative predictor compared to internal medicine (OR 0.111, 95% CI 0.014-0.893; P=.04). Conclusions: Online mobile CME platforms have gained widespread adoption among medical professionals in China, particularly after the COVID-19 outbreak. However, substantial disciplinary disparities in course availability and user experience persist, indicating the need for further optimization of course design and software interaction.

Indexed as

Education, DistanceEducation, Medical, ContinuingMobile ApplicationsAdultChinaFemaleHumansMaleSurveys and Questionnairesability enhancementmobile medical educationonline continuing medical educationsatisfactiontrend

Identifiers

PMID41730197
PMCPMC12928682

What OpenQuestion holds

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LicenceCC BY
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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.