Evidence map›Paper›PMID 37924090›Full record

ArticleBMC health services research2023

Continuing medical education in China: evidence from primary health workers' preferences for continuing traditional Chinese medicine education.

Hao Yan, Zhaoran Han, Hanlin Nie, Wanjin Yang, Stephen Nicholas, Elizabeth Maitland, Weihan Zhao, Yong Yang, Xuefeng Shi

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

9 authors.

Hao YanSchool of Management, Beijing University of Chinese Medicine, Beijing, China.
Zhaoran HanSchool of Management, Beijing University of Chinese Medicine, Beijing, China.
Hanlin NieSchool of Management, Beijing University of Chinese Medicine, Beijing, China.
Wanjin YangSchool of Management, Beijing University of Chinese Medicine, Beijing, China.
Stephen NicholasAustralian National Institute of Management and Commerce, Sydney, NSW, Australia.
Elizabeth MaitlandUniversity of Liverpool Management School, University of Liverpool, Liverpool, UK.
Weihan ZhaoSchool of Management, Beijing University of Chinese Medicine, Beijing, China.
Yong YangMedical Device Regulatory Research and Evaluation Centre, West China Hospital, Sichuan University, Chengdu, China.
Xuefeng ShiSchool of Management, Beijing University of Chinese Medicine, Beijing, China. shixuefeng981206@163.com.

Funding

National Natural Science Foundation of China NO:7207040925
6 · The paper itself

Abstract

backgroundContinuing Medical Education (CME) is an important part of the training process for health workers worldwide. In China, training in Traditional Chinese Medicine (TCM) not only improves the expertise of medical workers, but also supports the Chinese Government's policy of promoting TCM as an equal treatment to western medicine. CME, including learning Traditional Chinese Medicine Technologies (TCMTs), perform poorly and research into the motivation of health workers to engage in CME is urgently required. Using a discrete choice experiment, this study assessed the CME learning preferences of primary health workers, using TCMT as a case study of CME programs.

methodsWe conducted a discrete choice experiment among health workers in Shandong Province, Guizhou Province, and Henan provinces from July 1, 2021 to October 1, 2022 on the TCMT learning preferences of primary health workers. The mixed logit model and latent class analysis model were used to analyze primary health workers' TCMT learning preferences.

resultsA total of 1,063 respondents participated in this study, of which 1,001 (94.2%) passed the consistency test and formed the final sample. Our key finding was that there were three distinct classes of TCMT learners. Overall, the relative importance of the seven attributes impacting the learning of TCMTs were: learning expenses, expected TCMT efficacy, TCMT learning difficulty, TCMT mode of learning, TCMT type, time required to learn, and expected frequency of TCMT use. However, these attributes differed significantly across the three distinct classes of TCMT learners. Infrequent users (class 1) were concerned with learning expenses and learning difficulty; workaholics (class 2) focused on the mode of learning; and pragmatists (class 3) paid more attention to the expected TCMT efficacy and the expected frequency of TCMT use. We recommend targeted strategies to motivate TCMT learning suited to the requirements of each class of TCMT learners.

conclusionRather than a single TCMT medical education program for primary health workers, CME programs should be targeted at different classes of TCMT learners.

Indexed as

Education, Medical, ContinuingMedicine, Chinese TraditionalChinaHealth PersonnelHumansLearningContinuing medical educationDiscrete choice experimentHealth workersLearning preferencesTraditional Chinese Medicine technologies

Identifiers

PMID37924090
PMCPMC10623727

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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.