Evidence map›Paper›PMID 41382271›Full record

ArticleInternational journal of health geographics2025

Study on edge villages based on cross-region healthcare-seeking behavior.

Lulu Liu, Yu Xiao, Haiqing Xiang, Jia Liang

Abstract read
In one paragraph

Article in International journal of health geographics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lulu LiuAcademy of Cultural Heritage and Creativity of Jinan University, Guangzhou, 510000, China.
Yu XiaoSchool of Mechanics and Constructions Engineering, Jinan University, Guangzhou, 510000, China.
Haiqing XiangThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, 510000, China. 56789201@qq.com.
Jia LiangSchool of Mechanics and Constructions Engineering, Jinan University, Guangzhou, 510000, China.

Funding

Guangdong Office of Philosophy and Social Science GD22CGL33Guangzhou Office of Philosophy and Social Science 2024GZYB22
6 · The paper itself

Abstract

backgroundThis study addresses spatial disparities in rural healthcare by introducing the concept of edge village -communities where a misalignment between administrative boundaries and functional hospital service areas (HSAs) leads to prevalent cross-region healthcare-seeking. This concept, grounded in edge-effect theory, provides a novel perspective for analyzing healthcare resource mismatches.

methodsUsing Liannan Yao Autonomous County, Guangdong Province, as a case study, we employed complex network community detection to delineate HSAs and identify edge villages. An institution-behavior-space integrative framework was applied, combining literature analysis and field surveys to establish a multidimensional factor system. Key indicators were selected via Elastic Net regression, and their impact mechanisms were analyzed using mixed logit models.

resultsEdge villages were systematically identified, revealing significant misalignment between actual healthcare service areas and administrative divisions. Key factors driving cross-region healthcare-seeking included service accessibility, resource quality, and patient mobility patterns. The proposed framework effectively interprets spatial disparities through the lens of edge villages.

conclusionsThe edge village concept offers a new micro-analytic unit and a transferable framework for understanding rural healthcare misallocation. It provides policymakers with an evidence-based tool to pinpoint underserved areas and formulate tailored governance strategies, thereby improving resource allocation fairness and efficiency and fostering inclusive regional development.

Indexed as

Catchment Area, HealthHealthcare DisparitiesHealth Services AccessibilityPatient Acceptance of Health CareRural Health ServicesRural PopulationChinaHumansRegression AnalysisSpatial AnalysisCross-region healthcareCross-region healthcare-seeking behaviorEdge villagePrimary rural healthcareRemote and underdeveloped areas

Identifiers

PMID41382271
PMCPMC12713250

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LicenceCC BY
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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.