Hunter DJ, Bierma-Zeinstra S. Osteoarthritis. Lancet. 2019;393(10182):1745–59. https://doi.org/10.1016/S0140-6736(19)30417-9.
Article CAS PubMed Google Scholar
Prieto-Alhambra D, Judge A, Javaid MK, Cooper C, Diez-Perez A, Arden NK. Incidence and risk factors for clinically diagnosed knee, hip and hand osteoarthritis: influences of age, gender, and osteoarthritis affecting other joints. Ann Rheum Dis. 2014;73(9):1659–64. https://doi.org/10.1136/annrheumdis-2013-203355.
Hunter DJ, Schofield D, Callander E. The individual and socioeconomic impact of osteoarthritis. Nat Rev Rheumatol. 2014;10(7):437–41. https://doi.org/10.1038/nrrheum.2014.44.
Chang J, Fu M, Cao P, Ding C, Wang D. Patient-Reported Quality of life before and after total knee arthroplasty: a multicenter observational study. Patient Prefer Adherence. 2022;16:737–48. https://doi.org/10.2147/PPA.S357632.
Article PubMed PubMed Central Google Scholar
Roos EM, Roos HP, Lohmander LS, Ekdahl C, Beynnon BD. Knee Injury and Osteoarthritis Outcome Score (KOOS)–the development of a self-administered outcome measure. J Orthop Sports Phys Ther. 1998;28(2):88–96. https://doi.org/10.2519/jospt.1998.28.2.88.
Article CAS PubMed Google Scholar
Perruccio AV, Stefan Lohmander L, Canizares M, Tennant A, Hawker GA, Conaghan PG, et al. The development of a short measure of physical function for knee OA KOOS-Physical Function Shortform (KOOS-PS) – an OARSI/OMERACT initiative. Osteoarthritis Cartilage. 2008;16(5):542–50. https://doi.org/10.1016/j.joca.2007.12.014.
Article CAS PubMed Google Scholar
Tie X, Zheng R, Zhao M, Han Y, Guo H, Wang Z, et al. Prevalence of knee osteoarthritis in the middle-aged and elderly in China: a Meta-analysis. Chinese J Tissue Eng Res. 2018;22(4):650–6. https://doi.org/10.3969/j.issn.2095-4344.0105.
Cross M, Smith E, Hoy D, Nolte S, Ackerman I, Fransen M, et al. The global burden of hip and knee osteoarthritis: estimates from the global burden of disease 2010 study. Ann Rheum Dis. 2014;73(7):1323–30. https://doi.org/10.1136/annrheumdis-2013-204763.
Turkiewicz A, Petersson IF, Björk J, Hawker G, Dahlberg LE, Lohmander LS, et al. Current and future impact of osteoarthritis on health care: a population-based study with projections to the year 2032. Osteoarthritis Cartilage. 2014;22(11):1826–32. https://doi.org/10.1016/j.joca.2014.07.015.
Article CAS PubMed Google Scholar
Xie F, Kovic B, Jin X, He X, Wang M, Silvestre C. Economic and humanistic burden of osteoarthritis: a systematic review of large sample studies. Pharmacoeconomics. 2016;34(11):1087–100. https://doi.org/10.1007/s40273-016-0424-x.
van der Waal JM, Terwee CB, van der Windt DA, Bouter LM, Dekker J. The impact of non-traumatic hip and knee disorders on health-related quality of life as measured with the SF-36 or SF-12. A systematic review. Qual Life Res. 2005;14(4):1141–55. https://doi.org/10.1007/s11136-004-4599-9.
Puig-Junoy J, Ruiz Zamora A. Socio-economic costs of osteoarthritis: a systematic review of cost-of-illness studies. Semin Arthritis Rheum. 2015;44(5):531–41. https://doi.org/10.1016/j.semarthrit.2014.10.012.
König H-H, Neumann-Böhme S, Sabat I, Schreyögg J, Torbica A, van Exel J, et al. Health-related quality of life in seven European countries throughout the course of the COVID-19 pandemic: evidence from the European COvid Survey (ECOS). Qual Life Res. 2023. https://doi.org/10.1007/s11136-022-03334-5.
Article PubMed PubMed Central Google Scholar
Devlin NJ, Brooks R. EQ-5D and the EuroQol Group: Past, Present, and Future. Appl Health Econ Health Policy. 2017;15(2):127–37. https://doi.org/10.1007/s40258-017-0310-5.
Article PubMed PubMed Central Google Scholar
Brazier J, Roberts J, Deverill M. The estimation of a preference-based measure of health from the SF-36. J Health Econ. 2002;21(2):271–92. https://doi.org/10.1016/s0167-6296(01)00130-8.
Torrance GW, Feeny DH, Furlong WJ, Barr RD, Zhang Y, Wang Q. Multiattribute utility function for a comprehensive. health status classification system Health Utilities Index Mark 2. Medical Care. 1996;34(7):702–22. https://doi.org/10.1097/00005650-199607000-00004.
Article CAS PubMed Google Scholar
Wong EL, Cheung AW, Wong AY, Xu RH, Ramos-Goñi JM, Rivero-Arias O. 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(8):916–24. https://doi.org/10.1016/j.jval.2019.02.014.
McCaffrey N, Kaambwa B, Currow DC, Ratcliffe J. Health-related quality of life measured using the EQ-5D-5L: South Australian population norms. Health Qual Life Outcomes. 2016;14(1):133. https://doi.org/10.1186/s12955-016-0537-0.
Article PubMed PubMed Central Google Scholar
Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20(10):1727–36. https://doi.org/10.1007/s11136-011-9903-x.
Article CAS PubMed PubMed Central Google Scholar
Feng Y, Devlin N, Herdman M. Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare? Health Qual Life Outcomes. 2015;13:171. https://doi.org/10.1186/s12955-015-0356-8.
Article PubMed PubMed Central Google Scholar
Agborsangaya CB, Lahtinen M, Cooke T, Johnson JA. Comparing the EQ-5D 3L and 5L: measurement properties and association with chronic conditions and multimorbidity in the general population. Health Qual Life Outcomes. 2014;12(1):74. https://doi.org/10.1186/1477-7525-12-74.
Article PubMed PubMed Central Google Scholar
Craig BM, Pickard AS, Lubetkin EI. Health problems are more common, but less severe when measured using newer EQ-5D versions. J Clin Epidemiol. 2014;67(1):93–9. https://doi.org/10.1016/j.jclinepi.2013.07.011.
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(5):1313–21. https://doi.org/10.1007/s11136-015-1164-7.
Article CAS PubMed Google Scholar
Janssen MF, Pickard AS, Golicki D, Gudex C, Niewada M, Scalone L, et al. Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study. Qual Life Res. 2013;22(7):1717–27. https://doi.org/10.1007/s11136-012-0322-4.
Article CAS PubMed Google Scholar
Greenhawt M, Kimball S, Dunn Galvin A, Abrams EM, Shaker MS, Mosnaim G, et al. Media Influence on Anxiety, Health Utility, and Health Beliefs Early in the SARS-CoV-2 Pandemic-a Survey Study. J Gen Intern Med. 2021;36(5):1327–37. https://doi.org/10.1007/s11606-020-06554-y.
Article PubMed PubMed Central Google Scholar
Devlin NJ, Shah KK, Feng Y, Mulhern B, van Hout B. Valuing health-related quality of life: An EQ-5D-5L value set for England. Health Econ. 2018;27(1):7–22. https://doi.org/10.1002/hec.3564.
Hinz A, Kohlmann T, Stöbel-Richter Y, Zenger M, Brähler E. The quality of life questionnaire EQ-5D-5L: psychometric properties and normative values for the general German population. Qual Life Res. 2014;23(2):443–7. https://doi.org/10.1007/s11136-013-0498-2.
M, M. V., K, M. V., S, M. A. A. E., de Wit, G. A., Prenger, R., & E, A. S. Dutch Tariff for the Five-Level Version of EQ-5D. Value in Health. 2016;19(4), 343-352. https://doi.org/10.1016/j.jval.2016.01.003
Golicki D, Niewada M. EQ-5D-5L Polish population norms. Arch Med Sci. 2017;13(1):191–200. https://doi.org/10.5114/aoms.2015.52126.
Xie F, Pullenayegum E, Gaebel K, Bansback N, Bryan S, Ohinmaa A, et al. A Time Trade-off-derived Value Set of the EQ-5D-5L for Canada. Med Care. 2016;54(1):98–105. https://doi.org/10.1097/MLR.0000000000000447.
Purba FD, Hunfeld JAM, Iskandarsyah A, Fitriana TS, Sadarjoen SS, Ramos-Goñi JM, et al. The Indonesian EQ-5D-5L Value Set. Pharmacoeconomics. 2017;35(11):1153–65. https://doi.org/10.1007/s40273-017-0538-9.
Article PubMed PubMed Central Google Scholar
Augustovski F, Rey-Ares L, Irazola V, Garay OU, Gianneo O, Fernández G, et al. An EQ-5D-5L value set based on Uruguayan population preferences. Qual Life Res. 2016;25(2):323–33. https://doi.org/10.1007/s11136-015-1086-4.
Shiroiwa T, Ikeda S, Noto S, Igarashi A, Fukuda T, Saito S, et al. Comparison of Value Set Based on DCE and/or TTO Data: Scoring for EQ-5D-5L Health States in Japan. Value in Health. 2016;19(5):648–54. https://doi.org/10.1016/j.jval.2016.03.1834.
Kim SH, Ahn J, Ock M, Shin S, Park J, Luo N, et al. The EQ-5D-5L valuation study in Korea. Qual Life Res. 2016;25(7):1845–52. https://doi.org/10.1007/s11136-015-1205-2.
Luo N, Liu G, Li M, Guan H, Jin X, Rand-Hendriksen K. Estimating an EQ-5D-5L Value Set for China. Value in Health. 2017;20(4):662–9. https://doi.org/10.1016/j.jval.2016.11.016.
Yang Z, Busschbach J, Liu G, Luo N. EQ-5D-5L norms for the urban Chinese population in China. Health Qual Life Outcomes. 2018;16(1):210. https://doi.org/10.1186/s12955-018-1036-2.
Article PubMed PubMed Central Google Scholar
Wong ELY, Ramos-Goñi JM, Cheung AWL, Wong AYK, Rivero-Arias O. Assessing the use of a feedback module to model EQ-5D-5L health states values in Hong Kong. Patient-Patient-Centered Outcomes Res. 2018;11(2):235–47. https://doi.org/10.1007/s40271-017-0278-0.
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