Evidence map›Paper›PMID 36386571›Full record

ArticleIntegrative medicine research2022

A national survey on how to improve traditional Chinese medicine learning internationally: Perceptions from both teachers and students.

Yuhang Zhu, Yan Wu, Hao Zhang, Yanfei Zhao, Yule Ren, Wei Hu, Pan Li, Huiyi Wang, Ying Wang, Boda Zhang and 21 more

Abstract read
In one paragraph

Article in Integrative medicine research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

31 authors.

Yuhang ZhuDepartment of Chinese Integrative Medicine, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yan WuDepartment of Chinese Integrative Medicine, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Hao ZhangDepartment of Traditional Chinese Medicine, School of Basic Medicine, Qingdao University, Qingdao, China.
Yanfei ZhaoDepartment of Chinese Integrative Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Yule RenDepartment of Traditional Chinese Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Wei HuDepartment of Traditional Chinese Medicine, Medical College, China Three Gorges University, Yichang, China.
Pan LiBasic Teaching and Research Department of Acupuncture and Moxibustion, College of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi, China.
Huiyi WangInstitute of Integrative Medicine, Dalian Medical University, Dalian, China.
Ying WangDepartment of Chinese and Western Medicine, Chongqing Medical University, Chongqing, China.
Boda ZhangDepartment of Chinese and Western Medicine, North Sichuan Medical College, Nanchong, China.
Yujie WangDepartment of Chinese and Western Medicine, School of Medicine, Xiamen University, Xiamen, China.
Hongwen YuanSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Jiping ZhangSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Wenqiang LiDepartment of Traditional Chinese Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yufang ZhaoDepartment of Traditional Chinese Medicine, School of Medicine, Xiamen University, Xiamen, China.
Jie ZhaoDepartment of Chinese Medicine/Department of Chinese Integrative Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yedong ShiDepartment of Traditional Chinese Medicine, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Yanye ShuDepartment of Acupuncture, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Xiao ZhangTeaching and Research Section of Traditional Chinese Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Yan SunDepartment of Traditional Chinese Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Sheng YuDepartment of Chinese Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Ling YangDepartment of Chinese Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Zhenbo GengDepartment of Traditional Chinese Medicine, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Jiali ChenDepartment of Chinese Medicine, The First Affiliated Hospital of Jinzhou Medicine University, Jinzhou, China.
Kun LvDepartment of Integrated Traditional and Western Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Weilin WangDepartment of Chinese Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wenjuan XueDepartment of Traditional Chinese Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Yinger GuDepartment of Chinese Integrative Medicine, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Fangfang WangDepartment of Chinese Integrative Medicine, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xiangrong XuDepartment of Chinese Integrative Medicine, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Fan QuDepartment of Chinese Integrative Medicine, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the increasing popularity of traditional Chinese medicine (TCM) by the global community, how to teach basic knowledge of TCM to international students and improve the teaching quality are important issues for teachers of TCM. The present study was to analyze the perceptions from both students and teachers on how to improve TCM learning internationally. Methods: A cross-sectional national survey was conducted at 23 universities/colleges across China. A structured, self-reported on-line questionnaire was administered to 34 Chinese teachers who taught TCM course in English and to 1016 international undergraduates who were enrolled in the TCM course in China between 2017 and 2021. Results: Thirty-three (97.1%) teachers and 900 (88.6%) undergraduates agreed Chinese culture should be fully integrated into TCM courses. All teachers and 944 (92.9%) undergraduates thought that TCM had important significance in the clinical practice. All teachers and 995 (97.9%) undergraduates agreed that modern research of TCM is valuable. Thirty-three (97.1%) teachers and 959 (94.4%) undergraduates thought comparing traditional medicine in different countries with TCM can help the students better understand TCM. Thirty-two (94.1%) teachers and 962 (94.7%) undergraduates agreed on the use of practical teaching method with case reports. From the perceptions of the undergraduates, the top three beneficial learning styles were practice (34.3%), teacher's lectures (32.5%), case studies (10.4%). The first choice of learning mode was attending to face-to-face teaching (82.3%). The top three interesting contents were acupuncture (75.5%), Chinese herbal medicine (63.8%), and massage (55.0%). Conclusion: To improve TCM learning among international undergraduates majoring in conventional medicine, integration of Chinese culture into TCM course, comparison of traditional medicine in different countries with TCM, application of the teaching method with case reports, and emphasization of clinical practice as well as modern research on TCM should be fully considered.

Indexed as

A national surveyCross-sectional studyInternational undergraduatesPerceptionTraditional Chinese medicine

Identifiers

PMID36386571
PMCPMC9664354

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.