Browse > Article
http://dx.doi.org/10.4332/KJHPA.2008.18.3.018

Measuring Health Related Quality of Life of General Adult Population in One Metropolitan City using EQ-5D  

Jo, Min-Woo (Department of Preventive Medicine, College of Medicine, University of Ulsan)
Lee, Sang-Il (Department of Preventive Medicine, College of Medicine, University of Ulsan)
Kil, Seol-Ryoung (Department of Preventive Medicine, College of Medicine, University of Ulsan)
Lee, Ji Ho (Department of Occupational and Environmental Medicine, College of Medicine, University of Ulsan)
Kang, Wee-Chang (Department of Applied Statistics, Daejeon University)
Sohn, Hae-Sook (Department of Preventive Medicine, College of Medicine, Inje University)
Yoo, Cheol-In (Department of Occupational and Environmental Medicine, College of Medicine, University of Ulsan)
Publication Information
Health Policy and Management / v.18, no.3, 2008 , pp. 18-40 More about this Journal
Abstract
Measurements of health related quality of life can be used to compare patients with specific conditions to average individuals in the general population in a similar age and gender group. However there are few data available regarding health related quality of life for the general population of Korea. Therefore, this study was conducted to examine the validity of the Korean version of EQ-5D and to measure the health related quality of life of the general adult population in a metropolitan city. The survey was cross-sectional and employed a stratified and multistage sampling design through 100 examination sites in 5 districts of UIsan. A total of 12,644 individuals from 4,112 households participated in the survey. Of these, we analyzed data from 8,068 adults who were over 19 years old and completed the EQ-5D. To examine the validity of the questionnaire, the differences in 5 dimensions and the $EQ-5D_{index}$ were analyzed with regard to demographic and socioeconomic factors such as sex, age, income, and education. In addition, visual analogue scales (VAS) were used to evaluate the overall health related quality of life issues of the respondents. The level of health related quality of life of the general adult population was then compared with the results from the third Korean National Health and Nutrition Examination Survey and other countries. There were a small number of people with problems related tomobility, self-care, and usual activity. In addition, many people complained ofpain/discomfort and anxiety/depression. The complaint rate in each dimension, VAS, and $EQ-5D_{index}$ indicated relatively better states for males, the younger group, the higher income group, and the higher education group. In addition, the level of health related quality of life of the general population of Ulsan was relatively higher than that of Koreans nationwide as well as the populations of other countries. EQ-SD provided a valid measure of the health-related quality of life of the general adult population. In addition, the results of a survey of Ulsan revealed that the quality of life of its population is better than that of the overall population of Korea and of the populations of other countries.
Keywords
Health-related quality of life; EQ-5D; South Korea;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 Burstrom K, Johannesson M, Diderichsen F. Health-related quality of life by disease and socio-economic group in the general population in Sweden. Heatlh Policy 2001;55:51-69   DOI   ScienceOn
2 Burstrom K, Johannesson M, Diderichsen F. Increasing socio-economic inequalities in life expectancy and QALYs in Sweden 1980-1997. Health Econ 2005;14(8):831-850   DOI   ScienceOn
3 Ware JE. Standards for validating health measures: Definition and content. J Chronic Dis 1987;40:473-480   DOI   ScienceOn
4 Shaw JW, Johnson JA, Coons SJ. US valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Med Care 2005; 43: 203-220   DOI   ScienceOn
5 Szende A, Williams A. Measuring Self-Reported Population Health: An International Perspective based on EQ-5D. Spring Publishing, Hungary, 2004
6 Saarni SI, Harkanen T, Sintonen H, Suvisaari J, Koskinen S, Aromaa A et al. The impact of 29 chronic conditions on health-related quality of life: a general population survey in Finland using 15D and EQ-5D. Qual Life Res 2006;15(8):1403-1414   DOI
7 한미아, 류소연, 박종, 강명근, 박종구, 김기순. 일부 농촌지역 성인에서 EQ-5D를 이용한 건강관련 삶의 질. 예방의학회지 2008;41(3):173-180   과학기술학회마을   DOI   ScienceOn
8 Coons SJ, Rao S, Keininger DL, Hays RD. A comparative review of generic quality-of-life instruments. Pharmacoeconomics 2000;17(1):13-35   DOI   ScienceOn
9 Feeny D, Furlong W, Boyle M, Torrance GW. Multiattribute health status classification systems: Health Utilities Index. Pharmacoeconomics 1995:7:490-502   DOI   ScienceOn
10 Kind P, Dolan P, Gudex C, Williams A. Variations in population health status: results from a United Kingdom national questionnaire survey. BMJ 1998;316:736-741   DOI   ScienceOn
11 McHorney CA, Ware JE Jr, Lu JF, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care 1994;32(1):40-66   DOI   ScienceOn
12 The WHOQOL Group. Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychol Med 1998;28(3):551-558   DOI   ScienceOn
13 Savoia E, Fantini MP, Pandolfi PP, Dallolio L, Collina N. Assessing the construct validity of the Italian version of the EQ-5D: preliminary results from a cross-sectional study in North Italy. Health Qual Life Outcomes 2006;10(4):47-55
14 Kontodimopoulos N, Pappa E, Niakas D, Yfantopoulos J, Dimitrakaki C, Tountas Y. Validity of the EuroQoL (EQ-5D) Instrument in a Greek General Population. Value Health 2008;11(6).(In press)
15 Lubetkin EI, Jia H, Frank P, Gold MR. Relationship among sociodemogrphic factors, clinical conditions, and health-related quality of life: Examining the EQ-5D in the US general population. Qual Life Res 2005;14(10):2187-2196   DOI
16 Hoeymans N, van Lindert H, Westert GP. The health status of the Dutch population as assessed by the EQ-6D. Qual Life Res 2005;14:655-663   DOI
17 조홍준, 강영호, 윤성철. 우리 나라 표준직업분류에 따른 흡연율 차이: 2003년도 사회통계조사 자료의 분석. 예방의학회지 2006;39(4):365-370   과학기술학회마을
18 지역보건법. (일부개정 2007.5.11, 법률 제8423호)
19 이중열, 박천만. WHOQOL-Bref를 이용한 대구시민의 삶의 질. 보건행정학회지 2000;10(3):129-154
20 Greiner W, Weijnen T, Nieuwenhuizen M et al. A single European currency for EQ-5D health states. Results from a six-country study. Eur J Health Econ 2003;4(3):222-31   DOI
21 Jo MW, Yun SC, Lee SI. Estimating quality weights for EQ-5D health states with the time trade-off method in South Korea. Value Health 2008;11(6).(In press)
22 Khang YH, Kim HR. Relationship of education, occupation, and income with mortality in a representative longitudinal study of South Korea. Eur J Epidemiol. 2005;20(3):217-220   DOI
23 Eurostat. Population by sex and age on 1. January of 1997 of the European Union. Available from: URL: http://epp.eurostat.ec.europa.eu/portal/page?_ pageid=1996,45323734&_dad=portal&_schema=PORTAL&screen=welcomeref&open=/popula/pop/demo/demo_pop&language=en&product=EU_MASTER_population&root=EU_MASTER_population&scrollto=0
24 강은정, 최은진, 송현종, 유근춘, 김나연, 남정자 등. 제3기 국민건강영양조사. 서울：한국보건사회연구원, 보건복지부;2005
25 강은정, 박혜자, 조민우, 신호성, 김나연. EQ-5D를 이용한 건강수준의 가치 평가. 보건경제와 정책연구. 2006;12(2):19-43
26 성상석, 최찬범, 성윤경, 박용욱, 이혜순, 엄완식 등. 한국인에서 EQ-5D를 이용한 건강 관련 삶의 질 측정. 대한류마티스학회지 2004;11(3):254-262
27 Badia X, Schiaffino A, Alonso J, Herdman M. Using the EuroQol 5-D in the Catalan general population: feasibility and construct validity. Qual Life Res 1998;7:311-322   DOI
28 통계청. 2005년도 인구주택총조사. Available from：URL：http://www.kosis.kr/
29 Kim Myuong-Hee, Cho Young-Shin, Uhm Wan-Sik, Kim Sehyun, Bae Sang-Cheol. Cross-cultural adaptation and validation of the Korean version of the EQ-5D in patients with rheumatic diseases. Qual Life Res 2005;14:1401-1406   DOI
30 Macran S, Weatherly H, Kind P. Measuring population health: A comparison of three generic health status measures. Med Care 2003;41(2):218-231   DOI
31 Dolan P. Modeling valuation for EuroQol Health States. Med Care 1997;35(11): 1095-1108   DOI   ScienceOn
32 Dorman PJ, Slattery J, Farrell B Dennis MS, Sandercock PA. A randomised comparison of the EuroQol and Short Form-36 after stroke: United Kingdom collaborators in the International Stroke Trial. BMJ 1997;315(7106):461   DOI   ScienceOn
33 EuroQol Group. EuroQol: a new facility for the measurement of health-related quality of life. The EuroQol Group. Health Policy 1990;16(3):199-208   DOI   ScienceOn
34 Nam HS, Kim KY, Kwon SS, Koh KW, Poul K. EQ-5D Korean Valuation Study Using Time Trade off Method, Seoul: Korea Centers for Disease Control and Prevention;2007
35 Tsuchiya A, Ikeda S, Ikegami N, Nishimura S, Sakai I, Fukuda T, Hamashima C, Hisachige A, Tamura M. Estimating an EQ-5D population value set: the case of Japan. Health Econ 2002; 11: 341-353   DOI   ScienceOn
36 강영호. 이상일, 이무송, 조민우. 사회경제적 사망률 불평등: 한국노동패널 조사의 추적 결과. 보건행정학회지. 2004;14(4):1-20