Inequality in Life Expectancy in Korea according to Various Categorizations of the National Health Insurance Premiums as a Marker of Income.


Journal

Yonsei medical journal
ISSN: 1976-2437
Titre abrégé: Yonsei Med J
Pays: Korea (South)
ID NLM: 0414003

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 05 03 2020
revised: 28 05 2020
accepted: 01 06 2020
entrez: 2 7 2020
pubmed: 2 7 2020
medline: 19 8 2020
Statut: ppublish

Résumé

The purpose of this study was to examine the degree to which the magnitude of income inequality in life expectancy according to different categorization across beneficiary types under the National Health Insurance Service (NHIS) in Korea. We used population and death data in 2017 from the National Health Information Database of the NHIS. Income quintile groups were classified in four ways according to beneficiary type (employee insured, self-employed insured, and Medical Aid beneficiaries). Standard life table procedures were used to calculate life expectancy. The life expectancy gap between the lowest and highest income quintiles was the largest when the entire population was divided into quintiles without distinguishing among types of beneficiaries. In conclusion, we suggest that income quintile indicators in NHIS data, measured without distinguishing among types of beneficiaries, may best represent the magnitude of health inequalities in Korean society. This indicator could be used for future research on health inequalities, as well as for monitoring health inequalities in Korea.

Identifiants

pubmed: 32608209
pii: 61.640
doi: 10.3349/ymj.2020.61.7.640
pmc: PMC7329743
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

640-643

Subventions

Organisme : Korea Health Industry Development Institute
ID : HI18C0446
Pays : Republic of Korea
Organisme : National Research Foundation of Korea
ID : 2017R1C1B5017747
Pays : Korea

Informations de copyright

© Copyright: Yonsei University College of Medicine 2020.

Déclaration de conflit d'intérêts

The authors have no potential conflicts of interest to disclose.

Références

Int J Epidemiol. 2017 Jun 1;46(3):799-800
pubmed: 27794523
Burns. 2009 Jun;35(4):482-90
pubmed: 19216029
BMJ. 2000 May 13;320(7245):1303-7
pubmed: 10807620
Public Health. 2008 Mar;122(3):229-36
pubmed: 17935744
J Epidemiol Community Health. 2011 Jul;65(7):632-8
pubmed: 20584732
Asian Pac J Cancer Prev. 2012;13(4):1371-6
pubmed: 22799334
BMJ Open. 2019 Jun 27;9(6):e028687
pubmed: 31248930
Int J Epidemiol. 2010 Dec;39(6):1656-66
pubmed: 20647268
Eur J Public Health. 2019 Apr 1;29(2):225-231
pubmed: 30260368
Health Qual Life Outcomes. 2020 Feb 27;18(1):45
pubmed: 32103763
PLoS One. 2017 Sep 28;12(9):e0185458
pubmed: 28957371
PLoS One. 2015 Aug 18;10(8):e0136036
pubmed: 26284526
Eur J Public Health. 2016 Apr;26(2):242-8
pubmed: 26136463
BMJ Open. 2019 Jul 3;9(7):e030683
pubmed: 31272989
J Prev Med Public Health. 2006 Nov;39(6):511-9
pubmed: 17168205
Soc Sci Med. 1997 Mar;44(6):723-45
pubmed: 9080558
BMC Public Health. 2019 Aug 19;19(1):1137
pubmed: 31426770

Auteurs

Jinwook Bahk (J)

Department of Public Health, Keimyung University, Daegu, Korea.

Hee Yeon Kang (HY)

Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.

Young Ho Khang (YH)

Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.
Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea. yhkhang@snu.ac.kr.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH