Abstract
Objectives
To derive the population norms for EQ-5D-5L and SF-6Dv2 among the Chinese general population.
Methods
Data collected alongside the Chinese SF-6Dv2 valuation study conducted between June and September 2019 were used. SF-6Dv2 and EQ-5D-5L, as well as social-demographic characteristics and self-reported chronic conditions, were collected through face-to-face interviews among a representative sample of the general population stratified by age, gender, education, and area of residence (urban/rural) in China. SF-6Dv2 and EQ-5D-5L responses were converted to utility values using the corresponding Chinese value sets. Utility values for both measures and EQ VAS scores were summarized by age and gender, and then described by different social-demographic characteristics and chronic conditions.
Results
A total of 3397 respondents (51.2% male, age range 18–90 years) were included. 420 (12.4%) and 1726 (50.8%) respondents reported no problems on all SF-6Dv2 and EQ-5D-5L dimensions, respectively. The mean [standard deviation (SD)] utility values were 0.827 (0.143) for SF-6Dv2 and 0.946 (0.096) for EQ-5D-5L. The mean (SD) EQ VAS score was 87.1 (11.5). Respondents who resided in rural areas, were married, and were employed had higher utility values. Respondents with memory-related diseases or stroke had lower utility values than those with other chronic conditions. Utility values decreased with the increase in the number of chronic conditions.
Conclusion
This study reports the first Chinese population norms for the EQ-5D-5L and SF-6Dv2 derived using a representative sample of the Chinese general population. The norms can be used as references for economic evaluations and healthcare decision-making in China.
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References
Kaplan RM, Bush JW, Berry CC. Health status index: category rating versus magnitude estimation for measuring levels of well-being. Med Care. 1979;17:501–25.
Patrick DL, Deyo RA. Generic and disease-specific measures in assessing health status and quality of life. Med Care. 1989;27:S217-232.
Neumann PJ, Sanders GD, Russell LB, Siegel JE, Ganiats TG. Cost-effectiveness in health and medicine. 2nd ed. New York, NY: Oxford University Press; 2016.
Brazier J, Ratcliffe J, Saloman J, Tsuchiya A. Measuring and valuing health benefits for economic evaluation. Oxford: Oxford University Press; 2017.
Rascati K. Essentials of pharmacoeconomics. Commonwealth of Pennsylvania, Lippincott Williams & Wilkins; 2013.
Drummond MF, Sculpher MJ, Claxton K, Stoddart GL, Torrance GW. Methods for the economic evaluation of health care programmes. Oxford University Press; 2015.
Group TE. EuroQol-a new facility for the measurement of health-related quality of life. Health Policy. 1990;16:199–208.
Brazier J, Usherwood T, Harper R, et al. Deriving a preference-based single index from the UK SF-36 Health Survey. J Clin Epidemiol. 1998;51:1115–28.
Norman R, Cronin P, Viney R, et al. International comparisons in valuing EQ-5D health states: a review and analysis. Value Health. 2009;12:1194–200.
Xie F, Gaebel K, Perampaladas K, et al. Comparing EQ-5D valuation studies: a systematic review and methodological reporting checklist. Med Decis Making. 2014;34:8–20.
Herdman M, Gudex C, Lloyd A, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20:1727–36.
Poder TG, Fauteux V, He J, et al. Consistency between three different ways of administering the short form 6 dimension version 2. Value Health. 2019;22:837–42.
Brazier JE, Mulhern BJ, Bjorner JB, et al. Developing a new version of the SF-6D health state classification system from the SF-36v2: SF-6Dv2. Med Care. 2020;58:557–65.
Wu J, Xie S, He X, et al. The Simplified Chinese version of SF-6Dv2: translation, cross-cultural adaptation and preliminary psychometric testing. Qual Life Res. 2020;29:1385–91.
Liu GGHS, Wu JH, Wu J, Dong C, Li H. China guidelines for pharmacoeconomic evaluations. Beijing: China Market Press; 2020.
Luo N, Li M, Liu GG, et al. Developing the Chinese version of the new 5-level EQ-5D descriptive system: the response scaling approach. Qual Life Res. 2013;22:885–90.
Luo N, Liu G, Li M, et al. Estimating an EQ-5D-5L Value Set for China. Value in health. 2017;20:662–9.
Wu J, Xie S, He X, et al. Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension. Pharmacoeconomics. 2021;39:521–35.
Kendall PC, Marrs-Garcia A, Nath SR, et al. Normative comparisons for the evaluation of clinical significance. J Consult Clin Psychol. 1999;67:285–99.
Shiroiwa T, Noto S, Fukuda T. Japanese population norms of EQ-5D-5L and health utilities index mark 3: disutility catalog by disease and symptom in community settings. Value Health. 2021;24:1193–202.
Williams A. Calculating the global burden of disease: time for a strategic reappraisal? Health Econ. 1999;8:1–8.
Poder TG, Carrier N, Kouakou CRC. Quebec health-related quality-of-life population norms using the EQ-5D-5L: decomposition by sociodemographic data and health problems. Value in health. 2020;23:251–9.
Bailey H, Janssen MF, La Foucade A, et al. EQ-5D-5L population norms and health inequalities for Trinidad and Tobago. PLoS ONE. 2019;14:e0214283.
Janssen MF, Szende A, Cabases J, et al. Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries. Eur J Health Econ. 2019;20:205–16.
Palmer AJ, Campbell JA, de Graaff B, et al. Population norms for quality adjusted life years for the United States of America, China, the United Kingdom and Australia. Health Econ. 2021;30:1950–77.
Jiang R, Janssen MFB, Pickard AS. US population norms for the EQ-5D-5L and comparison of norms from face-to-face and online samples. Qual Life Res. 2021;30:803–16.
Grochtdreis T, Dams J, König HH, et al. Health-related quality of life measured with the EQ-5D-5L: estimation of normative index values based on a representative German population sample and value set. Eur J Health Econ. 2019;20:933–44.
Scalone L, Cortesi PA, Ciampichini R, et al. Health related quality of life norm data of the Italian general population: results using the EQ-5D-3L and EQ-5D-5L instruments. Epidemiol Biostat Public Health. 2015;12:24–32.
Bailey HH, Janssen MF, Varela RO, et al. EQ-5D-5L Population Norms and Health Inequality in Colombia. Value Health Reg Issues. 2021;26:24–32.
Bailey H, Janssen MF, La Foucade A, et al. EQ-5D self-reported health in Barbados and Jamaica with EQ-5D-5L population norms for the English-speaking Caribbean. Health Qual Life Outcomes. 2021;19:97.
Golicki D, Niewada M. EQ-5D-5L Polish population norms. Arch Med Sci. 2017;13:191–200.
Prevolnik Rupel V, Ogorevc M. EQ-5D-5L Slovenian population norms. Health Qual Life Outcomes. 2020;18:333.
Olsen JA, Lindberg MH, Lamu AN. Health and wellbeing in Norway: population norms and the social gradient. Soc Sci Med. 2020;259:113155.
Hernandez G, Garin O, Pardo Y, et al. Validity of the EQ-5D-5L and reference norms for the Spanish population. Qual Life Res. 2018;27:2337–48.
Garcia-Gordillo MA, Adsuar JC, Olivares PR. Normative values of EQ-5D-5L: in a Spanish representative population sample from Spanish Health Survey, 2011. Qual Life Res. 2016;25:1313–21.
Sullivan T, Turner RM, Derrett S, et al. New Zealand Population Norms for the EQ-5D-5L Constructed From the Personal Value Sets of Participants in a National Survey. Value in Health. 2021.
Hobbins A, Barry L, Kelleher D, et al. The health of the residents of Ireland: Population norms for Ireland based on the EQ-5D-5L descriptive system – a cross sectional study [version 1; peer review: 1 approved, 3 approved with reservations]. HRB Open Res. 2018;1:22. https://doi.org/10.12688/hrbopenres.12848.1.
McCaffrey N, Kaambwa B, Currow DC, et al. Health-related quality of life measured using the EQ-5D-5L: South Australian population norms. Health Qual Life Outcomes. 2016;14:133.
Nguyen LH, Tran BX, Le Hoang QN, et al. Quality of life profile of general Vietnamese population using EQ-5D-5L. Health Qual Life Outcomes. 2017;15:199.
Purba FD, Hunfeld JAM, Iskandarsyah A, et al. Quality of life of the Indonesian general population: test-retest reliability and population norms of the EQ-5D-5L and WHOQOL-BREF. PLoS ONE. 2018;13:e0197098.
Encheva M, Djambazov S, Vekov T, et al. EQ-5D-5L Bulgarian population norms. Eur J Health Econ. 2020;21:1169–78.
Health Quality Council of Alberta. EQ-5D-5L index norms for alberta population. Alberta: Health Quality Council of Alberta; 2016.
Emrani Z, Akbari Sari A, Zeraati H, et al. Health-related quality of life measured using the EQ-5D-5 L: population norms for the capital of Iran. Health Qual Life Outcomes. 2020;18:108.
Hołownia-Voloskova M, Tarbastaev A, Golicki D. Population norms of health-related quality of life in Moscow, Russia: the EQ-5D-5L-based survey. Qual Life Res. 2021;30:831–40.
van den Berg B. Sf-6d population norms. Health Econ. 2012;21:1508–12.
Norman R, Church J, van den Berg B, et al. Australian health-related quality of life population norms derived from the SF-6D. Aust N Z J Public Health. 2013;37:17–23.
Fryback DG, Dunham NC, Palta M, et al. US norms for six generic health-related quality-of-life indexes from the National Health Measurement study. Med Care. 2007;45:1162–70.
Ciconelli RM, Ferraz MB, Kowalski S, et al. Brazilian urban population norms derived from the health-related quality of life SF-6D. Qual Life Res. 2015;24:2559–64.
Garcia-Gordillo MA, Collado-Mateo D, Olivares PR, et al. Chilean population norms derived from the health-related quality of Life SF-6D. Eur J Health Econ. 2018;19:675–86.
Ferreira PL, Ferreira LN, Pereira LN. SF-6D Portuguese population norms. Eur J Health Econ. 2015;16:235–41.
Shiroiwa T, Fukuda T, Ikeda S, et al. Japanese population norms for preference-based measures: EQ-5D-3L, EQ-5D-5L, and SF-6D. Qual Life Res. 2016;25:707–19.
Wong EL, Cheung AW, Wong AY, et al. Normative profile of health-related quality of life for Hong Kong general population using preference-based instrument EQ-5D-5L. Value in health. 2019;22:916–24.
Yang Z, Busschbach J, Liu G, et al. EQ-5D-5L norms for the urban Chinese population in China. Health Qual Life Outcomes. 2018;16:210.
Wong CKH, Mulhern B, Cheng GHL, et al. SF-6D population norms for the Hong Kong Chinese general population. Qual Life Res. 2018;27:2349–59.
EuroQol Group. EQ-5D Registration. https://registration.euroqol.org. Accessed 23 Dec 2021.
The University of Sheffield. Measuring and Valuing Health – SF-6D. https://www.sheffield.ac.uk/scharr/research/themes/valuing-health#SF-6D. Accessed 23 Dec 2021.
National Bureau of Statistics of China. China Sixth National Census 2010. http://stats.tj.gov.cn/nianjian/2017nj/zk/indexch.htm. Accessed 20 Aug 2021.
National Bureau of Statistics of China. China Statistical Yearbook. 2018. http://www.stats.gov.cn/tjsj/ndsj/2018/indexch.htm. Accessed 20 Aug 2021.
Whitehurst DGT, Brazier JE, Viney R, Mulhern BJ. The SF-6Dv2: how does the new classification system impact the distribution of responses compared with the original SF-6D? Pharmacoeconomics. 2020;38(12):1283–8.
McDool E, Mukuria C, Brazier J. A Comparison of the SF-6Dv2 and SF-6D UK utility values in a mixed patient and healthy population. Pharmacoeconomics. 2021;39(8):929–40.
Marten O, Greiner W. EQ-5D-5L reference values for the German general elderly population. Health Qual Life Outcomes. 2021;19:76.
Filatova S, Upadhyaya S, Kronstrom K, et al. Time trends in the incidence of diagnosed depression among people aged 5–25 years living in Finland 1995–2012. Nord J Psychiatry. 2019;73:475–81.
Bretschneider J, Janitza S, Jacobi F, et al. Time trends in depression prevalence and health-related correlates: results from population-based surveys in Germany 1997–1999 vs. 2009–2012. BMC Psychiatry. 2018;18:394.
Zhang T, Shi W, Huang Z, et al. Influence of culture, residential segregation and socioeconomic development on rural elderly health-related quality of life in Guangxi, China. Health Qual Life Outcomes. 2016;14:98.
Dong WL, Li YC, Wang ZQ, et al. Self-rated health and health-related quality of life among Chinese residents, China, 2010. Health Qual Life Outcomes. 2016;14:5.
Xie F, Pullenayegum E, Pickard AS, et al. Transforming latent utilities to health utilities: east does not meet west. Health Econ. 2017;26:1524–33.
Konig HH, Bernert S, Angermeyer MC, et al. Comparison of population health status in six european countries: results of a representative survey using the EQ-5D questionnaire. Med Care. 2009;47:255–61.
Zajacova A, Lawrence EM. The relationship between education and health: reducing disparities through a contextual approach. Annu Rev Public Health. 2018;39:273–89.
Walters SJ, Brazier JE. Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Qual Life Res. 2005;14:1523–32.
Xie S, Wu J, He X, et al. Do discrete choice experiments approaches perform better than time trade-off in eliciting health state utilities? Evidence from SF-6Dv2 in China. Value Health. 2020;23:1391–9.
Acknowledgements
This study was funded by the National Natural Science Foundation of China (grant No. 71673197 and No. 72174142). We would like to thank all the interviewers and respondents for taking part in this study.
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This study was funded by the National Natural Science Foundation of China (Grant No. 71673197 and No. 72174142).
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JW reported receiving grants from the National Natural Science Foundation of China during the conduct of the study. No other conflicts of interest were reported by the authors.
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This study was approved by the Institutional Review Board of School of Pharmaceutical Science and Technology, Tianjin University (No. 20180615) and was conducted in accordance with the Declaration of Helsinki.
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Informed consent was obtained from all individual participants included in the study. Participants were informed about their freedom of refusal. Anonymity and confidentiality were maintained throughout the research process.
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The data are available only to the authors because we obtained informed consent from the respondents under that condition.
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Concept and design: SX, JW, and FX. Acquisition of data: SX, JW. Analysis and interpretation of data: SX, FX. Drafting of the manuscript: SX, FX. Statistical analysis: SX, FX. Obtaining funding: JW. Supervision: JW, FX. All authors commented on previous versions of the manuscript and approved the final manuscript.
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Xie, S., Wu, J. & Xie, F. Population Norms for SF-6Dv2 and EQ-5D-5L in China. Appl Health Econ Health Policy 20, 573–585 (2022). https://doi.org/10.1007/s40258-022-00715-2
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DOI: https://doi.org/10.1007/s40258-022-00715-2