Evidence map›Paper›PMID 36466538›Full record

ArticleFrontiers in public health2022

Quantitative evaluation of traditional Chinese medicine development policy: A PMC index model approach.

Ciran Yang, Shicheng Yin, Dan Cui, Zongfu Mao, Yu Sun, Changli Jia, Shuhan An, Yuxin Wu, Xue Li, Yixin Du and 5 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 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

15 authors.

Ciran YangDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Shicheng YinDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Dan CuiDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Zongfu MaoDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Yu SunDepartment of Nursing, School of Nursing, Wuhan University, Wuhan, China.
Changli JiaDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Shuhan AnDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Yuxin WuDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Xue LiDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Yixin DuDepartment of Nursing, School of Nursing, Wuhan University, Wuhan, China.
Qiuling ZhaoDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Rui WangDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Yunxu LiuDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Junming RenDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.
Xue HeDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional Chinese medicine development policies (TCMDPs) are essential in improving the sustainable development of TCM undertakings, of which transmissions of policy information are closely related to the actual policy effectiveness. However, the inherent components of TCMDPs had not been explored from the structural dimension of policy design. Methods: Based on the policy modeling consistency (PMC) index model, we constructed a comprehensive evaluation system, including ten first-level and 40 second-level indicators, and focused on the TCMDPs released by the Chinese central government in the past 42 years (1980-2022) to conduct multi-dimensional inspections to TCMDPs by analyzing the overall policy quality, individual scoring performance, and indicators distribution characteristics. Results: This study pointed out that four policies were rated as "perfect," 35 were rated as "superb," 50 were rated as "excellent," 28 were rated as "good," and four were rated as "acceptable," with total mean values of the PMC index being 7.530 ± 0.835. Although most TCMDPs had appropriate policy structure and consistency, the potential weaknesses in the design of TCMDPs also needed our attention through careful checks on the outlier policy samples. Besides, the existing TCMDPs had room for improvement regarding policy areas, guarantees and incentives, objects included, and issuing agencies. Conclusions: We emphasized that the policy evaluation method used in this current study, the PMC index model, is scarce in the TCMDPs. These findings are helpful for fully understanding the strengths and weaknesses of TCMDPs and provide theoretical references for further studies optimizing TCMDPs.

Indexed as

Medicine, Chinese TraditionalPolicyAsian PeopleHumanshealth policy designhealth policy structurePMC index modelquantitative policy evaluationtraditional Chinese medicine

Identifiers

PMID36466538
PMCPMC9715970

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.