Evidence map›Paper›PMID 40991666›Full record

ArticlePloS one2025

Regional disparities in the distribution of public and private healthcare facilities in South Korea.

Jiyu Park, Byeongyun Jeon, Eun Lee

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

3 authors.

Jiyu ParkDepartment of Scientific Computing, Pukyong National University, Busan, Republic of Korea.
Byeongyun JeonDepartment of Scientific Computing, Pukyong National University, Busan, Republic of Korea.
Eun LeeDepartment of Scientific Computing, Pukyong National University, Busan, Republic of Korea.ORCID https://orcid.org/0000-0003-3860-3213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unequal healthcare facility distributions remain a critical concern in South Korea, where medical resources are disproportionately concentrated in metropolitan areas, leading to disparities in the availability of services between regions. These spatial disparities are also influenced by broader contextual factors such as socioeconomic inequality and transportation infrastructure, which interact with access to care. Focusing on the spacial dimension of these disparities, this study investigates the spatial distribution of public and private medical facilities by analyzing their allocation patterns to identify underlying principles associated with these distributional trends, using a cost optimization approach rooted in statistical physics. By employing concentration index ([Formula: see text]), we quantify regional inequalities in general hospitals and clinics. Additionally, using scaling exponents, we aim to understand the principles underlying the distributional differences between public and private healthcare facilities and examine whether these differences vary across medical specialties. Our findings reveal that private hospitals and clinics exhibit stronger correlations with population density, reflecting commercial-like allocation patterns, while public institutions demonstrate more even spatial distributions. However, some essential medical specialties, including emergency medicine, pediatrics, and obstetrics and gynecology, are sparsely distributed in public sectors. Furthermore, temporal scaling exponent analysis suggests that private medical institutions are gradually intensifying their commercial characteristics, potentially exacerbating future disparities. These results provide a comprehensive understanding of the distribution patterns of healthcare facilities across regions and establishment types, while uncovering the underlying principles that shape these patterns based on medical specialties, providing valuable insights to inform future resource allocation strategies in the health sector.

Indexed as

Healthcare DisparitiesHealth FacilitiesHospitals, PrivatePrivate FacilitiesHealth Services AccessibilityHumansRepublic of KoreaSocioeconomic Factors

Identifiers

PMID40991666
PMCPMC12459777

What OpenQuestion holds

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LicenceCC BY
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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.