Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

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Statistical Analysis of Grass-Roots Traditional Chinese Medicine Services

Authors
Juan Zhang1, *, Xinrui Pi1, Li Chen1, Jun Li1, Jun Ma2, *
1School of Management, Hubei University of Chinese Medicine, Wuhan, China
2School of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan, China
*Corresponding author. Email: 10664820@qq.com
*Corresponding author. Email: mj-1964@163.com
Corresponding Authors
Juan Zhang, Jun Ma
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_77How to use a DOI?
Keywords
Community Health Centre; Village Clinics; Traditional Chinese Medicine; Health Services
Abstract

Objective: To study the current situation and problems in the service and utilization of Traditional Chinese Medicine (TCM) at the grass-roots level and realize the equity in health. Methods. Based on the 2014–2017 data from “National Statistical Extract of Traditional Chinese Medicine”, comparative analysis of the number of TCM service and the income in community health service centers, community health service stations, and township health centers. Results: 1. The proportion of TCM services exceeded the national requirements, and Village clinics service are below the national requirement, although they have increased significantly in recent years; 2. Grass-roots traditional Chinese medicine services achieved high benefits at a lower cost; 3. The lack of TCM services is particularly prominent in the most basic rural areas; 4. Only 27.81% of community health service centers and 10.87% of township health centers were able to provide more than 10 types of traditional Chinese medicine technical methods. Conclusion: It should strengthen the construction of grass-roots TCM talents, and improve the quality and effectiveness of TCM services, and promote the conditions of grass-roots medical services as well as increase the publicity of grass-roots TCM.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_77
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_77How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Juan Zhang
AU  - Xinrui Pi
AU  - Li Chen
AU  - Jun Li
AU  - Jun Ma
PY  - 2022
DA  - 2022/12/02
TI  - Statistical Analysis of Grass-Roots Traditional Chinese Medicine Services
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 757
EP  - 768
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_77
DO  - 10.2991/978-94-6463-010-7_77
ID  - Zhang2022
ER  -