Evidence map›Paper›PMID 39758406›Full record

ArticleHeliyon2025

Impact of medical resources in residential area on unmet healthcare needs: Findings from a multi-level analysis of Korean nationwide data.

Seo Yeong Choi, Il Yun, Jong Youn Moon

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Seo Yeong ChoiDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.
Il YunDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.
Jong Youn MoonDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to examine whether sufficient medical resources in residential areas influence individuals' unmet healthcare needs in South Korea, where overpopulation is of concern. Methods: Two publicly available datasets were utilized: The Korean Community Health Survey at the individual-level and the Korean medical utilization statistics at the regional-level. It included 176,378 individuals. To address the clustered nature of the regional-level data, a multi-level framework was applied, containing individual-level data, incorporating demographic details and health information. Results: Individuals living in small cities and rural areas with sufficient medical resources were 1.26 times more likely to experience unmet healthcare needs than those living in well-resourced metropolitan cities. Additionally, the adjusted odds ratio for unmet healthcare needs was the highest at 1.32 for those living in small cities and rural areas lacking sufficient medical resources. Stratified analyses revealed the largest disparity in unmet healthcare needs between income levels in regions with sufficient resources. In these areas, those with the lowest income were 1.77 times more likely to experience unmet healthcare than those with the highest income. Similarly, in metropolitan cities, the income-based gap in unmet healthcare needs was most pronounced, with the adjusted odds ratio for the lowest-income group being 1.66. Conclusions: Our findings demonstrate that living in small cities or rural areas with insufficient medical resources, as well as having a low income level even in an area with sufficient medical services, significantly increases individuals' unmet healthcare needs. This suggests then need for equitable distribution medical resources across regions and public health support policies that do not limit access to medical care for people with poor socioeconomic status.

Indexed as

Medical resourceMulti-level modelRegional health disparityUnmet healthcare needs

Identifiers

PMID39758406
PMCPMC11699379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.