Exploratory Study of Dimensions of Health-related Quality of Life in the General Population of South Korea
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초록
Objectives: This study aimed to explore dimensions in addition to the 5 dimensions of the 5-level EQ-5D version (EQ-5D-5L) that could satisfactorily explain variation in health-related quality of life (HRQoL) in the general population of South Korea. Methods: Domains related to HRQoL were searched through a review of existing HRQoL instruments. Among the 28 potential dimensions, the 5 dimensions of the EQ-5D-5L and 7 additional dimensions (vision, hearing, communication, cognitive function, social relationships, vitality, and sleep) were included. A representative sample of 600 subjects was selected for the survey, which was administered through face-to-face interviews. Subjects were asked to report problems in 12 health dimensions at 5 levels, as well as their self-rated health status using the EuroQol visual analogue scale (EQ-VAS) and a 5-point Likert scale. Among subjects who reported no problems for any of the parameters in the EQ-5D-5L, we analyzed the frequencies of problems in the additional dimensions. A linear regression model with the EQ-VAS as the dependent variable was performed to identify additional significant dimensions. Results: Among respondents who reported full health on the EQ-5D-5L (n=365), 32% reported a problem for at least 1 additional dimension, and 14% reported worse than moderate self-rated health. Regression analysis revealed a R2 of 0.228 for the original EQ-5D-5L dimensions, 0.200 for the new dimensions, and 0.263 for the 12 dimensions together. Among the added dimensions, vitality and sleep were significantly associated with EQ-VAS scores. Conclusions: This study identified significant dimensions for assessing self-rated health among members of the general public, in addition to the 5 dimensions of the EQ-5D-5L. These dimensions could be considered for inclusion in a new preference-based instrument or for developing a country-specific HRQoL instrument.
Abstract
Objectives: This study aimed to explore dimensions in addition to the 5 dimensions of the 5-level EQ-5D version (EQ-5D-5L) that could satisfactorily explain variation in health-related quality of life (HRQoL) in the general population of South Korea. Methods: Domains related to HRQoL were searched through a review of existing HRQoL instruments. Among the 28 potential dimensions, the 5 dimensions of the EQ-5D-5L and 7 additional dimensions (vision, hearing, communication, cognitive function, social relationships, vitality, and sleep) were included. A representative sample of 600 subjects was selected for the survey, which was administered through face-to-face interviews. Subjects were asked to report problems in 12 health dimensions at 5 levels, as well as their self-rated health status using the EuroQol visual analogue scale (EQ-VAS) and a 5-point Likert scale. Among subjects who reported no problems for any of the parameters in the EQ-5D-5L, we analyzed the frequencies of problems in the additional dimensions. A linear regression model with the EQ-VAS as the dependent variable was performed to identify additional significant dimensions. Results: Among respondents who reported full health on the EQ-5D-5L (n=365), 32% reported a problem for at least 1 additional dimension, and 14% reported worse than moderate self-rated health. Regression analysis revealed a R2 of 0.228 for the original EQ-5D-5L dimensions, 0.200 for the new dimensions, and 0.263 for the 12 dimensions together. Among the added dimensions, vitality and sleep were significantly associated with EQ-VAS scores. Conclusions: This study identified significant dimensions for assessing self-rated health among members of the general public, in addition to the 5 dimensions of the EQ-5D-5L. These dimensions could be considered for inclusion in a new preference-based instrument or for developing a country-specific HRQoL instrument.
참고문헌 (32)
- Testa MA, "Assessment of quality-of-life outcomes", N Engl J Med, 334(13), pp.835~840 (1996)
- Cella DF, "Measuring quality of life in palliative care", Semin Oncol, 22(2 Suppl 3), pp.73~81 (1995)
- Rodríguez-Artalejo F, "Health-related quality of life as a predictor of hospital readmission and death among patients with heart failure", Arch Intern Med, 165(11), pp.1274~1279 (2005)
- Otero-Rodríguez A, "Change in health-related quality of life as a predictor of mortality in the older adults", Qual Life Res, 19(1), pp.15~23 (2010)
- Trask PC, "Other paradigms: health-related quality of life as a measure in cancer treatment: its importance and relevance", Cancer J, 15(5), pp.435~440 (2009)
- Walters SJ, "Quality of life outcomes in clinical trials and health-care evaluation: a practical guide to analysis and interpretation", pp.266~267 (2009), John Wiley & Sons
- Sintonen H, "Quality of life assessment: key issues in the 1990s", pp.185~195 (1993), Kluwer
- Torrance GW, "Multiattribute utility function for a comprehensive health status classification system. Health Utilities Index Mark 2", Med Care, 34, pp.702~722 (1996)
- Feeny D, "Multiattribute and single-attribute utility functions for the health utilities index mark 3 system", Med Care, 40(2), pp.113~128 (2002)
- Kim TH, "Psychometric properties of the EQ-5D-5L in the general population of South Korea", Qual Life Res, 22(8), pp.2245~2253 (2013)
- Kim SH, "Comparing the psychometric properties of the EQ-5D-3L and EQ-5D-5L in cancer patients in Korea", Qual Life Res, 21(6), pp.1065~1073 (2012)
- Pickard AS, "Psychometric comparison of the standard EQ-5D to a 5 level version in cancer patients", Med Care, 45(3), pp.259~263 (2007)
- Luo N, "Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and Health Utilities Index", Med Care, 43(11), pp.1078~1086 (2005)
- Wang H, "Variation in Chinese population health related quality of life: results from a EuroQol study in Beijing, China", Qual Life Res, 14(1), pp.119~132 (2005)
- Herdman M, "Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L)", Qual Life Res, 20(10), pp.1727~1736 (2011)
- Perneger TV, "Exploration of health dimensions to be included in multi-attribute health-utility assessment", Int J Qual Health Care, 23(1), pp.52~59 (2011)
- Szende A, "Measuring self-reported population health: an international perspective based on EQ-5D", pp.22~ (2004), Spring Med Publishing
- Tseng HM, "Cultural issues in using the SF-36 Health Survey in Asia: results from Taiwan", Health Qual Life Outcomes, 1, pp.72~ (2003)
- Seon Ha Kim, "Psychometric Properties of the Korean Short Form-36 Health Survey Version 2 for Assessing the General Population", Asian Nursing Research, 7(2), pp.61~66 (2013), 한국간호과학회
- Thumboo J, "A community-based study of scaling assumptions and construct validity of the English (UK) and Chinese (HK) SF-36 in Singapore", Qual Life Res, 10(2), pp.175~188 (2001)
- Wang W, "The psychometric properties of the Chinese version of the SF-36 health survey in patients with myocardial infarction in mainland China", Qual Life Res, 15(9), pp.1525~1531 (2006)
- 조민우, "EQ-5D를 이용한 일개 광역시 성인의 건강관련 삶의 질 측정", 보건행정학회지, 18(3), pp.18~40 (2008), 한국보건행정학회
- Johnson JA, "Comparison of the EQ-5D and SF-12 health surveys in a general population survey in Alberta, Canada", Med Care, 38(1), pp.115~121 (2000)
- Hinz A, "The quality of life questionnaire EQ-5D-5L: psychometric properties and normative values for the general German population", Qual Life Res, 23(2), pp.443~447 (2014)
- Badia X, "Using the EuroQoI 5-D in the Catalan general population: feasibility and construct validity", Qual Life Res, 7(4), pp.311~322 (1998)
- Mukuria C, "Valuing the EQ-5D and the SF-6D health states using subjective well-being: a secondary analysis of patient data", Soc Sci Med, 77, pp.97~105 (2013)
- Whynes DK, "Correspondence between EQ-5D health state classifications and EQ VAS scores", Health Qual Life Outcomes, 6, pp.94~ (2008)
- "Society at a glance: OECD social indicators"[URL]
- "Average annual hours actually worked per worker"[URL]
- Ock M, "Measuring health related quality of life using EQ-5D in South Korea", J Health Tech Assess, 1, pp.103~111 (2013)
- Van Loon AJ, "Survey non-response in the Netherlands: effects on prevalence estimates and associations", Ann Epidemiol, 13(2), pp.105~110 (2003)
- Bowling A, "Mode of questionnaire administration can have serious effects on data quality", J Public Health (Oxf), 27(3), pp.281~291 (2005)