Evidence map›Paper›PMID 40487534›Full record

ArticleFrontiers in public health2025

Structural imbalance of medical resources amid population mobility and digital empowerment: a study of national and port-developed provinces in China.

Haiwei Fu, Junjie Lu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

2 authors.

Haiwei FuSchool of Economics and Management, Ningbo University of Technology, Ningbo, China.
Junjie LuSchool of Economics and Management, Ningbo University of Technology, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, many cities in China are facing the problem of difficult medical care and expensive medical care, while at the same time a large number of hospitals are on the verge of closing. However, existing literature is unable to adequately explain these phenomena. To fill this gap, this study focuses on the causes of the structural imbalance of medical resources in China from the perspective of population mobility and the governance pathways of digital empowerment. By analyzing the entire country and the port-developed provinces with advanced medical conditions, several key findings are revealed: (1) Different types of medical resources in cities exert differentiated attraction effects on population mobility. High-tier hospitals exert a strong pull on population mobility, while the impact of primary care facilities is not evident; (2) Continuous population movements lead to a structural imbalance of medical resource, characterized by overburdened high-tier hospitals coexisting with underutilized primary care facilities; (3) Economic development has increased people's emphasis on health and prevention of critical illnesses, making the aforementioned structural imbalance more pronounced in the port-developed provinces of China; (4) Digital empowerment offers a new perspective for addressing these issues. By introducing digital diagnostic devices in primary care facilities, the likelihood of major diseases can be swiftly assessed. This technology not only enables intelligent triage but also effectively mitigates the structural imbalance of medical resources.

Indexed as

EmpowermentHealth ResourcesPopulation DynamicsChinaHumansPrimary Health CareChinadigital empowermentmedical resourcespopulation mobilityport-developed provincesstructural imbalance

Identifiers

PMID40487534
PMCPMC12141305

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.