Literature DB >> 25595235

Estimating quality-adjusted life-year loss due to noncommunicable diseases in Korean adults through to the year 2040.

Minsu Ock1, Jung Won Han2, Jin Yong Lee3, Seon-Ha Kim4, Min-Woo Jo5.   

Abstract

OBJECTIVES: To estimate the loss in quality-adjusted life-years (QALYs) in Korean adults due to 13 noncommunicable diseases (NCDs) in 2010 and predict changes in QALY loss through to the year 2040.
METHODS: Thirteen NCDs (hypertension, diabetes mellitus, hyperlipidemia, stroke, myocardial infarction, angina, arthritis, osteoporosis, asthma, allergic rhinitis, atopic dermatitis, cataract, and depression) were selected from the Korean Community Health Survey 2010. The EuroQol five-dimensional questionnaire index from the Korean Community Health Survey 2010 and the Korean valuation set were used to estimate utility weights according to sex, age, and disease. Morbidity data were also obtained from the Korean Community Health Survey 2010. Mortality data according to disease and life expectancy were retrieved from the Korean Statistical Information Service. To predict future QALY loss, future population projection data from the Korean Statistical Information Service were used as substitutes for 2010 population size.
RESULTS: Among the assessed 13 NCDs, the largest total QALY loss was for hypertension (513,113 QALYs; units are omitted hereafter), followed by arthritis (509,317) and stroke (431,049). The largest QALY loss due to mortality was stroke (306,733), whereas the largest QALY loss due to morbidity was arthritis (502,513). By applying the middle estimate of future population, the largest increase in total QALY loss between 2010 and 2040 was for hypertension (840,582), followed by stroke (719,076) and diabetes mellitus (474,607).
CONCLUSIONS: Hypertension, arthritis, and stroke are important in terms of total QALY loss, which will continuous to increase because of aging. These results could be used to develop cost-effective interventions that reduce the burden of NCDs.
Copyright © 2015. Published by Elsevier Inc.

Entities:  

Keywords:  chronic disease; health-related quality of life; noncommunicable diseases; quality-adjusted life-year

Mesh:

Year:  2015        PMID: 25595235     DOI: 10.1016/j.jval.2014.09.008

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  18 in total

1.  Perceptions of the General Public About Health-related Quality of Life and the EQ-5D Questionnaire: A Qualitative Study in Korea.

Authors:  Minsu Ock; Jeehee Pyo; Min-Woo Jo; Michael Herdman; Nan Luo
Journal:  J Prev Med Public Health       Date:  2022-05-31

2.  QALY losses for chronic diseases and its social distribution in the general population: results from the Belgian Health Interview Survey.

Authors:  Lisa Van Wilder; Brecht Devleesschauwer; Els Clays; Johan Van der Heyden; Rana Charafeddine; Aline Scohy; Delphine De Smedt
Journal:  BMC Public Health       Date:  2022-07-07       Impact factor: 4.135

3.  Health-Adjusted Life Expectancy (HALE) in Korea: 2005-2011.

Authors:  Jin Yong Lee; Minsu Ock; Seung Hoon Kim; Dun Sol Go; Hyun Joo Kim; Min Woo Jo
Journal:  J Korean Med Sci       Date:  2016-11       Impact factor: 2.153

4.  Temporal trends in educational inequalities in non-communicable diseases in Korea, 2007-2015.

Authors:  Gyu Ri Kim; Chung Mo Nam
Journal:  PLoS One       Date:  2017-12-28       Impact factor: 3.240

5.  Estimating utility weights and quality-adjusted life year loss for colorectal cancer-related health states in Korea.

Authors:  Jin Yong Lee; Minsu Ock; Min-Woo Jo; Woo-Seung Son; Hyeon-Jeong Lee; Seon-Ha Kim; Hyun Joo Kim; Jong Lyul Lee
Journal:  Sci Rep       Date:  2017-07-17       Impact factor: 4.379

6.  Estimation of utility weights for major liver diseases according to disease severity in Korea.

Authors:  Minsu Ock; So Yun Lim; Hyeon-Jeong Lee; Seon-Ha Kim; Min-Woo Jo
Journal:  BMC Gastroenterol       Date:  2017-09-05       Impact factor: 3.067

7.  Association between Plasma Pentraxin 3 Levels and Bone Mineral Density in Elderly Koreans: the Dong-gu Study.

Authors:  Ran Lee; Hye-Ran Ahn; Min-Ho Shin; Hee-Nam Kim; Young-Hoon Lee; Seong-Woo Choi; Sun-Seog Kweon
Journal:  J Korean Med Sci       Date:  2018-05-09       Impact factor: 2.153

8.  Disease severity-based evaluation of utility weights for lung cancer-related health states in Korea.

Authors:  Eun-Jung Kim; Minsu Ock; Kyu-Pyo Kim; Nuri Hyun Jung; Hyeon-Jeong Lee; Seon-Ha Kim; Min-Woo Jo
Journal:  BMC Cancer       Date:  2018-11-08       Impact factor: 4.430

9.  Trend analysis of major cancer statistics according to sex and severity levels in Korea.

Authors:  Minsu Ock; Woong Jae Choi; Min-Woo Jo
Journal:  PLoS One       Date:  2018-09-13       Impact factor: 3.240

10.  Comparison of the Marginal Utility and Disease Burden of Hearing Loss and Other Chronic Diseases.

Authors:  Oh Deog Kwon; Se Young Jung; Hwa Yeon Park; Sue Kyoung Peak; Su Hwan Cho; Sang Jin Cho
Journal:  Korean J Fam Med       Date:  2018-07-16
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