Evidence map›Paper›PMID 41425281›Full record

ArticleDigital health

Coupling coordination between digital economy and healthcare service resources in China: Spatiotemporal evolution patterns and driving mechanisms.

Yiwen Wei, Qunshan Tao, Hua Wei, Kunyu Chen

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Yiwen WeiSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.ORCID https://orcid.org/0009-0000-2929-0417
Qunshan TaoSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.ORCID https://orcid.org/0009-0008-1410-398X
Hua WeiSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.ORCID https://orcid.org/0009-0002-6932-8410
Kunyu ChenSchool of Hospital Economics and Management, Anhui University of Chinese Medicine, Hefei, China.ORCID https://orcid.org/0009-0002-9241-7593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study systematically measures the coupling coordination between China's digital economy and healthcare service resources, reveals their spatiotemporal evolution, and identifies key driving factors. Methods: Using panel data from 31 Chinese provinces (2012-2023), we constructed a comprehensive evaluation system. The entropy weight method determined indicator weights, the coupling coordination degree model assessed coordinated development levels, kernel density estimation analyzed dynamic trends, spatial autocorrelation examined agglomeration characteristics, and the spatial Durbin model explored regional driving mechanisms. Results: The coupling coordination degree increased continuously from initial to medium-high coordination, with significant regional disparities: "high-stable coordination in the east, improvement in the center, and catch-up growth in the west." Spatial analysis revealed significant negative dependence with clustered low-value areas. Economic development, education, population aging, urbanization, and government digitalization significantly influenced coordination with regional heterogeneity: the east showed synergistic effects, the center relied on factor inputs, and the west faced resource diffusion constraints. Conclusion: While coordination levels are improving, regional imbalances persist. Promoting balanced digital infrastructure, optimizing resource mobility, and improving digital governance are essential for synergistic development.

Indexed as

coupling coordination degree modelDigital economyhealthcare service resourceskernel density estimationspatial Durbin model

Identifiers

PMID41425281
PMCPMC12712313

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Registered trials

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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.