ArticleAnnals of translational medicine2023
Investigating the factors affecting the competence of a traditional Chinese medicine practitioner using structural equation model.
Article in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects and safety ofFrontiers in pharmacology · 2024Pooled it
- A triaxial benchmark for assessing responses from large language models in traditional Chinese medicine.Communications medicine · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Compared with other medical sciences, Chinese medicine provides professional advantages in disease prevention and the diagnosis of chronic diseases. The training of Chinese medicine practitioners is worthy of investigation. The present study focused on how structural equation modelling (SEM) can be used to analyze the competencies of traditional Chinese medicine (TCM) practitioners to help training an eligible TCM doctor and select suitable staff for TCM hospital. Methods: Before the analysis of competence factors for TCM, we developed the scale, including literature review, expert consultation, item pool for the proposed competency model, pilot test of the item pool, and finalization of the scale items. We analyzed questionnaires from 400 TCM practitioners in Hangzhou, Guangzhou, and Wuhan, and then performed an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) to extract the valuable items for TCM practitioners. Finally, SEM was employed to develop a competency structure. Results: A total of 21 items in this study's questionnaire were identified as being closely related to the competencies of TCM practitioners, which were further categorized by principal component analysis into five categories: (I) professional values; (II) basic medical knowledge; (III) communication skills; (IV) clinical skills; and (V) information management. Subsequent analyzes showed that clinical skills were the most important competency metric for TCM practitioners; additionally, the mediating role of basic medical knowledge and communication skills could not be ignored in both theory and practice. Conclusions: This research presents a preliminary methodology for evaluating the competence of TCM practitioners and provides hospitals with criteria theoretical reference for training and finding TCM practitioners.
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