Evidence map›Paper›PMID 42232228›Full record

ArticleJournal of multidisciplinary healthcare2026

Willingness of CDC Staff to Participate in Continuing Education in China: A Bayesian Network Analysis.

Jialin Lu, Nan Meng, Yanping Wang, Kexin Wang, Peng Wang, Yiran Gao, Min Wei, Huan Liu, Qunhong Wu

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Jialin Lu *Department of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.
Nan Meng *Department of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.
Yanping Wang *Department of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.
Kexin WangDepartment of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.ORCID 0000-0002-2186-5826
Peng WangDepartment of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.
Yiran GaoDepartment of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.
Min WeiDepartment of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.
Huan LiuDepartment of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.ORCID 0000-0002-1882-1160
Qunhong WuDepartment of Social Medicine, Health Management College, Harbin Medical University, Harbin, 150081, People's Republic of China.ORCID 0000-0002-2873-5266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the willingness of China Centers for Disease Control and Prevention (C-CDC) staff in Northeast China to participate in continuing education and identify the factors associated with such willingness. Methods: This study adopted a cross-sectional design using stratified cluster sampling. Based on Expectancy-Value-Cost (EVC) and Job Demands-Resources (JD-R) theories, literature evidence, and study objectives, the survey variable system was constructed to cover multiple dimensions. Following multiple rounds of questionnaire revision, an online survey was administered to C-CDC staff at different administrative levels in Northeast China, yielding 11,912 valid responses. After identifying relevant variables through univariate analysis, a Bayesian network model was constructed to explore the association and their interrelationships. Results: A total of 19 variables were identified by univariate analysis as being significantly associated with willingness to participate in continuing education. Bayesian network analysis showed that family support for job, rationality of career development opportunities, work fatigue, and team cohesion were directly associated with willingness to participate in continuing education. Sensitivity analysis further identified nine key nodes. The conditional probability table indicated that when low work fatigue, more rational career development opportunities, higher team cohesion, and stronger family support were present simultaneously, the conditional probability of high willingness to participate in continuing education among C-CDC staff increased to 94.2%. Conclusion: Bayesian network analysis identified several professional identity related factors, particularly team cohesion, career development opportunities, and family support, as key factors associated with willingness to participate in continuing education. The analysis also revealed complex interrelationships among these factors.

Indexed as

bayesian networkcontinuing educationdisease control and prevention staffinterrelationshipswillingness

Identifiers

PMID42232228
PMCPMC13225026

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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.