Evidence map›Paper›PMID 40415058›Full record

ArticleScientific reports2025

Spatiotemporal dynamics and driving factors of human resources for health in traditional Chinese medicine in China.

Jiarui Zhang, Sheng Zhou, Yujie Feng, Huaijin Liu, Chengcheng Li

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Jiarui Zhang *School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, 511495, The People's Republic of China.
Sheng Zhou *School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, 511495, The People's Republic of China.
Yujie FengJockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, China.
Huaijin LiuSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, 310000, The People's Republic of China.
Chengcheng LiDepartment of Health Service Management, Humanities and Management School, Zhejiang Chinese Medical University, Hangzhou, 310000, The People's Republic of China. tskdlcc@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The uneven distribution of human resources for health (HRH) in China, particularly within the realm of traditional Chinese medicine (TCM), has long posed a significant challenge. Although prior studies have examined regional disparities in overall HRH, limited research has specifically addressed the spatial and temporal dynamics of HRH in TCM and their underlying determinants. This study employs a multiscale geographically weighted regression (MGWR) model to explore the spatial and temporal dynamics of HRH in TCM across 31 Chinese provinces from 2008 to 2021. MGWR allows each explanatory variable to operate at its optimal spatial scale, capturing localized patterns of spatial heterogeneity. The results reveal that although HRH in TCM has generally increased over time, substantial disparities persist, with eastern and central regions exhibiting a higher degree of resource agglomeration while western regions continue to lag behind. Economic factors such as wage income, the number of TCM institutions, and education funding emerge as the most significant and spatially heterogeneous determinants. These localized effects suggest that region-specific policy interventions are needed-such as financial incentives and infrastructure support for underserved western regions, and institutional integration and quality standardization in eastern areas-reflecting the differentiated roles and development contexts of TCM across regions. By leveraging the advantages of MGWR in capturing multiscale spatial patterns, this study provides empirical evidence to support more targeted and sustainable planning for HRH in TCM development. Enhancing the accessibility of TCM services not only addresses current regional imbalances but also strengthens the healthcare system's capacity to respond to the needs of an aging population and future public health emergencies. The findings offer valuable insights for policymakers aiming to improve health equity in China and may inform similar efforts in other countries facing spatial disparities in traditional medicine resources.

Indexed as

Medicine, Chinese TraditionalChinaHumansSpatio-Temporal AnalysisHuman resources for healthRegional disparities spatiotemporal analysisTraditional Chinese medicine

Identifiers

PMID40415058
PMCPMC12104421

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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.