Longworth, L., Yang, Y., Young, T., Mulhern, B., Alava, M.H., Mukuria, C., Rowen, D., Tosh, J., Tsuchiya, A., Evans, P.: Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: a systematic review, statistical modelling and survey. Health Technol. Assess. 18(9), 1–224 (2014). https://doi.org/10.3310/hta18090
Article
PubMed
PubMed Central
Google Scholar
Janssen, M., Pickard, A.S., Golicki, D., Gudex, C., Niewada, M., Scalone, L., Swinburn, P., Busschbach, J.: Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study. Qual. Life Res. 22(7), 1717–1727 (2013)
CAS
Article
Google Scholar
Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., Parkin, D., Bonsel, G., Badia, X.: Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual. Life Res. 20(10), 1727–1736 (2011)
CAS
Article
Google Scholar
Agborsangaya, C.B., Lahtinen, M., Cooke, T., Johnson, J.A.: Comparing the EQ-5D 3L and 5L: measurement properties and association with chronic conditions and multimorbidity in the general population. Health Qual. Life Outcomes 12(1), 74 (2014)
Article
Google Scholar
NICE: Guide to the methods of technology appraisal 2013. https://www.nice.org.uk/process/pmg9/chapter/1-foreword (2013). Accessed 28 Feb 2018
Luo, N., Wang, X., Ang, M., Finkelstein, E.A., Aung, T., Wong, T.-Y., Lamoureux, E.: A vision, “Bolt-On” item could increase the discriminatory power of the EQ-5D index score. Value Health 18(8), 1037–1042 (2015)
Article
Google Scholar
Longworth, L., Yang, Y., Young, T., Mulhern, B., Hernández Alava, M., Mukuria, C., Rowen, D., Tosh, J., Tsuchiya, A., Evans, P., Devianee Keetharuth, A., Brazier, J.: Use of generic and condition-specific measures of health-related quality of life in NICE decision-making: a systematic review, statistical modelling and survey. Health Technol Assess. 18(9), 1–224 (2014). https://doi.org/10.3310/hta18090
Article
PubMed
PubMed Central
Google Scholar
Geraerds, A.J.L.M., Bonsel, G.J., Janssen, M.F., de Jongh, M.A., Spronk, I., Polinder, S., Haagsma, J.A.: The added value of the EQ-5D with a cognition dimension in injury patients with and without traumatic brain injury. Qual. Life Res. (2019). https://doi.org/10.1007/s11136-019-02144-6
Article
PubMed
PubMed Central
Google Scholar
Swinburn, P., Lloyd, A., Boye, K.S., Edson-Heredia, E., Bowman, L., Janssen, B.: Development of a disease-specific version of the EQ-5D-5L for use in patients suffering from psoriasis: lessons learned from a feasibility study in the UK. Value Health 16(8), 1156–1162 (2013). https://doi.org/10.1016/j.jval.2013.10.003
Article
PubMed
Google Scholar
Hoogendoorn, M., Boland, M.R., Goossens, L.M., Oppe, M., Stolk, E.A., Rutten van-Molken, M.: Development of an Eq-5d respiratory bolt-on. Value Health 18(7), 714 (2015). https://doi.org/10.1016/j.jval.2015.09.2695
Article
Google Scholar
Yang, Y., Rowen, D., Brazier, J., Tsuchiya, A., Young, T., Longworth, L.: An exploratory study to test the impact on three “bolt-on” items to the EQ-5D. Value Health 18(1), 52–60 (2015)
Article
Google Scholar
Yang, Y., Brazier, J., Tsuchiya, A.: Effect of adding a sleep dimension to the EQ-5D descriptive system: a “bolt-on” experiment. Med. Decis. Mak 34(1), 42–53 (2014). https://doi.org/10.1177/0272989X13480428
Article
Google Scholar
Tosh, J., Brazier, J., Evans, P., Longworth, L.: A review of generic preference-based measures of health-related quality of life in visual disorders. Value Health 15(1), 118–127 (2012)
Article
Google Scholar
Gandhi, M., Ang, M., Teo, K., Wong, C.W., Wei, Y.C., Tan, R.L., Janssen, M.F., Luo, N.: EQ-5D-5L is more responsive than EQ-5D-3L to treatment benefit of cataract surgery. Patient (2019). https://doi.org/10.1007/s40271-018-00354-7
Article
PubMed
Google Scholar
Brooks, R.: EuroQol: the current state of play. Health Policy 37(1), 53–72 (1996)
CAS
Article
Google Scholar
Dolan, P.: Modeling valuations for EuroQol health states. Med. Care 35(11), 1095–1108 (1997)
CAS
Article
Google Scholar
Oppe, M., Rand-Hendriksen, K., Shah, K., Ramos-Goñi, J.M., Luo, N.: EuroQol protocols for time trade-off valuation of health outcomes. PharmacoEconomics 34(10), 993–1004 (2016)
Article
Google Scholar
NICE: Position statement on use of the EQ-5D-5L valuation set for England (updated November 2018). https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/technology-appraisal-guidance/eq-5d-5l (2018). 3 Jun 2019
Van Hout, B., Janssen, M., Feng, Y.-S., Kohlmann, T., Busschbach, J., Golicki, D., Lloyd, A., Scalone, L., Kind, P., Pickard, A.S.: Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets. Value Health 15(5), 708–715 (2012)
Article
Google Scholar
Devlin, N.J., Shah, K.K., Feng, Y., Mulhern, B., Hout, B.: Valuing health-related quality of life: an EQ-5D-5L value set for England. Health Econ. 27(1), 7–22 (2018)
Article
Google Scholar
Brazier, J., Roberts, J., Deverill, M.: The estimation of a preference-based measure of health from the SF-36. J. Health Econ. 21(2), 271–292 (2002)
Article
Google Scholar
Poder, T.G., Fauteux, V., He, J., Brazier, J.E.: Consistency between three different ways of administering the short form 6 dimension version 2. Value Health. 22(7), 837–842 (2019). https://doi.org/10.1016/j.jval.2018.12.012
Article
PubMed
Google Scholar
Horsman, J., Furlong, W., Feeny, D., Torrance, G.: The Health Utilities Index (HUI®): concepts, measurement properties and applications. Health Qual. Life Outcomes 1(1), 54 (2003)
Article
Google Scholar
Furlong, W., Feeny, D., Torrance, G., Goldsmith, C., DePauw, S., Zhu, Z., Denton, M., Boyle, M.: Multiplicative multi-attribute utility function for the Health Utilities Index Mark 3 (HUI3) system: a technical report. In: Centre for Health Economics and Policy Analysis (CHEPA). McMaster University, Hamilton (1998)
Steinberg, E.P., Tielsch, J.M., Schein, O.D., Javitt, J.C., Sharkey, P., Cassard, S.D., Legro, M.W., Diener-West, M., Bass, E.B., Damiano, A.M.: The VF-14: an index of functional impairment in patients with cataract. Arch. Ophthalmol. 112(5), 630–638 (1994)
CAS
Article
Google Scholar
Lamoureux, E.L., Pesudovs, K., Thumboo, J., Saw, S.-M., Wong, T.Y.: An evaluation of the reliability and validity of the visual functioning questionnaire (VF-11) using Rasch analysis in an Asian population. Investig. Ophthalmol. Vis. Sci. 50(6), 2607–2613 (2009)
Article
Google Scholar
Gandhi, M., Thumboo, J., Wee, H.-L., Luo, N., Cheung, Y.-B.: How is the most severe health state being valued by the general population? Health Qual. Life Outcomes 12(1), 1 (2014)
Article
Google Scholar
Deyo, R.A., Diehr, P., Patrick, D.L.: Reproducibility and responsiveness of health status measures statistics and strategies for evaluation. Control. Clin. Trials 12(4), S142–S158 (1991)
Article
Google Scholar
Cohen, J.: Statistical power analysis for the behavioral sciences, 2nd edn. In. Erlbaum Associates, Hillsdale (1988)
Google Scholar
Mooney CZ, Duval RD. Bootstrapping: a nonparametric approach to statistical inference. Sage university papers series. Quantitative applications in the social sciences, No. 95. Sage Publications, Inc. 1993. https://doi.org/10.4135/9781412983532
Morimoto, T., Fukui, T.: Utilities measured by rating scale, time trade-off, and standard gamble: review and reference for health care professionals. J. Epidemiol. 12(2), 160–178 (2002)
Article
Google Scholar
Bilbao, A., Quintana, J.M., Escobar, A., García, S., Andradas, E., Baré, M., Elizalde, B., Group, I.-C.: Responsiveness and clinically important differences for the VF-14 index, SF-36, and visual acuity in patients undergoing cataract surgery. Ophthalmology 116(3), 418–424.e411 (2009)
Article
Google Scholar
Polack, S., Eusebio, C., Mathenge, W., Wadud, Z., Mamunur, A., Fletcher, A., Foster, A., Kuper, H.: The impact of cataract surgery on health related quality of life in Kenya, the Philippines, and Bangladesh. Ophthalmic Epidemiol. 17(6), 387–399 (2010)
Article
Google Scholar
McWilliams, L.A., Goodwin, R.D., Cox, B.J.: Depression and anxiety associated with three pain conditions: results from a nationally representative sample. Pain 111(1–2), 77–83 (2004)
Article
Google Scholar