Evidence map›Paper›PMID 40682090›Full record

ArticleCost effectiveness and resource allocation : C/E2025

Regional disparities, dynamic evolution, and spatial spillover effects of medical resource allocation efficiency in TCM hospitals.

Zhihao Wang, Zhiguang Li, Ruijin Xie

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Zhihao WangThe Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230012, Anhui, China.
Zhiguang LiSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, 230012, Anhui, China. lizhiguang0731@163.com.
Ruijin XieSchool of Economics and Management, Anhui University of Chinese Medicine, Hefei, 230012, Anhui, China. xierj@ahtcm.edu.cn.

Funding

Anhui Provincial Department of Education 2023xjzlts028; 2024zyxwjxalk115Anhui Provincial Education Department 2023AH030071Anhui Provincial Education Department GXXT-2022-095Anhui University of Chinese Medicine 2024rcyb06
6 · The paper itself

Abstract

backgroundTo analyze the regional disparities, dynamic evolution, and influencing factors of medical resource allocation efficiency in TCM hospitals across China from 2016 to 2022, providing references for optimizing resource allocation in TCM hospitals.

methodsThe study employed a super-efficiency Slack-Based Measure (SBM) model considering undesirable outputs to assess regional equity in efficiency, utilized the Dagum Gini coefficient to measure regional disparities in efficiency, and applied kernel density estimation and spatial econometric models to analyze the dynamic evolution and spatial spillover effects of medical resource allocation efficiency in TCM hospitals.

resultsIn 17 provinces, the efficiency is higher than the average value of 0.839, and in 8 provinces, the average value has exceeded 1. The regional pattern of efficiency shows a gradient characteristic of "high in the east and stable in the west, with the Northeast lagging behind." There is a significant spatial difference in the efficiency of resource allocation. The overall difference in the allocation of resources for traditional Chinese medicine (TCM) hospitals shows a fluctuating upward trend. The contribution rate of regional differences reaches 53.45%, which is the dominant factor. The largest regional differences are found within the central region, while the gaps between the eastern and central regions continue to widen, and those between the western and northeastern regions tend to become more balanced. The most significant interregional differences are observed between the central and western regions. The efficiency of resource allocation for TCM hospitals is on the rise, with the kernel density curve shifting to the right. The main peak height first decreases and then increases, while the width first expands and then contracts. The absolute difference first increases and then decreases. The rightward convergence of the tail indicates that there are efficient hospitals, but the gaps are narrowing. The multi-peak distribution reveals a multi-level differentiation pattern with the coexistence of low-efficiency and high-efficiency clusters. Per capita GDP, urbanization level, aging rate, population density, and the number of graduates from higher medical colleges can promote efficiency improvement. Population density and the proportion of TCM physicians have a positive spatial spillover effect on efficiency, while per capita GDP has a negative spatial spillover effect.

conclusionThe efficiency of medical resource allocation in traditional Chinese medicine (TCM) hospitals is steadily improving, and the regional differences are continuously narrowing. The degree of efficiency multi-polarization is becoming more moderate, and the development of regional equilibrium is being achieved. Both internal and external environmental factors jointly influence the improvement of medical resource allocation efficiency in TCM hospitals. It is recommended to take measures such as technological empowerment, institutional constraints, financial support, and talent absorption to enhance the efficiency of medical resource allocation in TCM hospitals and bridge the regional gaps.

Indexed as

Allocation efficiencyMedical and health resourcesTraditional Chinese Medicine (TCM) hospitals

Identifiers

PMID40682090
PMCPMC12273394

What OpenQuestion 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 OpenQuestion graph.