Evidence map›Paper›PMID 39148647›Full record

ArticleFrontiers in public health2024

Unmet healthcare needs and the local extinction index: an analysis of regional disparities impacting South Korea's older adults.

Younggyu Kwon, Minsung Sohn, Mankyu Choi

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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.

Younggyu KwonSchool of Health Policy and Management, College of Public Health Science, Korea University, Seoul, Republic of Korea.
Minsung SohnDivision of Health and Medical Sciences, The Cyber University of Korea, Seoul, Republic of Korea.
Mankyu ChoiSchool of Health Policy and Management, College of Public Health Science, Korea University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study examines the factors affecting unmet healthcare experiences by integrating individual-and community-level extinction indices. Methods: Using spatial autocorrelation and multilevel modeling, the study utilizes data from the Community Health Survey and Statistics Korea for 218 local government regions from 2018 to 2019. Results: The analysis identifies significant clustering, particularly in non-metropolitan regions with a higher local extinction index. At the individual level, some factors affect unmet medical needs, and unmet healthcare needs increase as the local extinction index at the community level increases. Conclusion: The findings underscore the need for strategic efforts to enhance regional healthcare accessibility, particularly for vulnerable populations and local infrastructure development.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityHealth Services Needs and DemandAgedAged, 80 and overFemaleHealth SurveysHumansMaleMiddle AgedRepublic of Koreahealthcare disparitieshierarchical linear modellocal extinction indexSouth Koreaspatial analysisspatial autocorrelation

Identifiers

PMID39148647
PMCPMC11325592

What OpenQuestion holds

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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 OpenQuestion graph.