Evidence map›Paper›PMID 32103763›Full record

ArticleHealth and quality of life outcomes2020

Income-related inequality in quality-adjusted life expectancy in Korea at the national and district levels.

Dohee Lim, Jinwook Bahk, Minsu Ock, Ikhan Kim, Hee-Yeon Kang, Yeon-Yong Kim, Jong Heon Park, Young-Ho Khang

Abstract read
In one paragraph

Article in Health and quality of life outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  12. Changes in quality-adjusted life expectancy in Belgium, 2013 and 2018.Archives of public health = Archives belges de sante publique · 2022
    Article
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  14. A Review of the Types and Characteristics of Healthy Life Expectancy and Methodological Issues.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022
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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

8 authors.

Dohee LimInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea.
Jinwook BahkInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea.
Minsu OckDepartment of Preventive Medicine, University of Ulsan College of Medicine, Seoul, South Korea.
Ikhan KimDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, South Korea.
Hee-Yeon KangInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea.
Yeon-Yong KimBig Data Steering Department, National Health Insurance Service, Wonju, South Korea.
Jong Heon ParkBig Data Steering Department, National Health Insurance Service, Wonju, South Korea.
Young-Ho KhangInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea. yhkhang@snu.ac.kr.ORCID http://orcid.org/0000-0002-9585-8266

Funding

Korea Health Industry Development Institute HI18C0446
6 · The paper itself

Abstract

backgroundThe aim of this study was to measure differences in quality-adjusted life expectancy (QALE) by income in Korea at the national and district levels.

methodsMortality rates and EuroQol-5D (EQ-5D) scores were obtained from the National Health Information Database of the National Health Insurance Service and the Korea Community Health Survey, respectively. QALE and differences in QALE among income quintiles were calculated using combined 2008-2014 data for 245 districts in Korea. Correlation analyses were conducted to investigate the associations of neighborhood characteristics with QALE and income gaps therein.

resultsQALE showed a graded pattern of inequality according to income, and increased over time for all levels of income and in both sexes, except for low-income quintiles among women, resulting in a widened inequality in QALE among women. In all 245 districts, pro-rich inequalities in QALE were found in both men and women. Districts with higher QALE and smaller income gaps in QALE were concentrated in metropolitan areas, while districts with lower QALE and larger income gaps in QALE were found in rural areas. QALE and differences in QALE by income showed relatively close correlations with socioeconomic characteristics, but relatively weak correlations with health behaviors, except for smoking and indicators related to medical resources.

conclusionsThis study provides evidence of income-based inequalities in health measured by QALE in all subnational areas in Korea. Furthermore, QALE and differences in QALE by income were closely associated with neighborhood-level socioeconomic characteristics.

Indexed as

Health Status DisparitiesLife ExpectancyQuality of LifeAdultEconomic StatusFemaleHealth SurveysHumansIncomeMaleMiddle AgedRepublic of KoreaResidence CharacteristicsSex DistributionIncomeLife expectancyQuality of lifeRepublic of KoreaSocioeconomic factors

Identifiers

PMID32103763
PMCPMC7045490

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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.