Evidence map›Paper›PMID 39833907›Full record

ArticleBMC health services research2025

The association between health literacy, private health insurance, and medical expenditure in South Korea.

Jeehye Lee, Hye Sook Min, Dong-Hee Ryu

Abstract read
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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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6citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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.

Jeehye LeeDepartment of Preventive Medicine, School of Medicine, Konkuk University, Chungju, Korea.
Hye Sook MinPublic Health Research Institute, National Medical Center, Seoul, Korea.
Dong-Hee RyuDepartment of Preventive Medicine, Daegu Catholic University School of Medicine, Daegu, Korea. ryudh@cu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth literacy (HL) is crucial for effective healthcare utilization, but its relationship with private health insurance (PHI) enrollment and medical expenditure in South Korea remains unexplored.

objectivesThis study aimed to examine the associations between HL, PHI enrollment, and annual out-of-pocket (OOP) medical expenditure in South Korea's universal healthcare system.

methodsUsing data from the 2021 Korea Health Panel Study, we analyzed 5,469 participants aged 19-65. Logistic and multinomial logistic regression models were employed to assess factors influencing PHI enrollment. A Gamma GLM with a log- link function was used to examine the relationship between HL, PHI status, and OOP medical expenditure.

resultsAmong participants, 70.05% had indemnity insurance coverage, and 88.02% held at least one PHI policy. Individuals with sufficient HL showed higher indemnity insurance enrollment (71.47%) compared to those with inadequate HL (63.17%). In unadjusted analyses, those with sufficient HL were more likely to have indemnity insurance (OR = 1.46, 95% CI: 1.19-1.80) and PHI policies. However, after adjusting for sociodemographic and health-related factors, these associations became non-significant. Individuals with indemnity insurance spent 36% more on OOP medical expenditure compared to those without (p < 0.01), and OOP medical expenditure increased with the number of insurance policies (39.1%, 71.6%, and 107.5% higher for one, two, and three or more policies, respectively, all p < 0.01). Those with sufficient HL spent 18.9% less on OOP medical expenditure compared to those with inadequate HL (p < 0.01). However, after adjusting for other variables, the coefficients lost statistical significance. After adjusting for other variables, higher education levels were associated with lower OOP medical expenditure.

conclusionsWhile HL initially showed an association with PHI enrollment and reduced OOP medical expenditure, these relationships became non-significant after adjusting for socioeconomic and health-related factors. Higher education levels were associated with lower OOP medical expenditure, suggesting that educational attainment may better explain the observed HL effects. The positive association between PHI and OOP medical expenditure highlights the need for policy attention to ensure sustainable healthcare financing and appropriate medical service utilization in Korea's healthcare system.

Indexed as

Health ExpendituresHealth LiteracyInsurance, HealthAdultAgedFemaleHumansInsurance CoverageMaleMiddle AgedPrivate SectorRepublic of KoreaYoung AdultHealthcare utilizationHealth literacyMedical expenditurePrivate health insurance

Identifiers

PMID39833907
PMCPMC11744957

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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.