Abstract
Purpose
To compare the performance of three-level EuroQol five-dimensions (EQ-5D-3L) and five-level EuroQol five-dimensions (EQ-5D-5L) among common cancer patients in urban China.
Methods
A hospital-based cross-sectional survey was conducted in three provinces from 2016 to 2018 in urban China. Patients with breast cancer, colorectal cancer, or lung cancer were recruited to complete the EQ-5D-3L and EQ-5D-5L questionnaires. Response distribution, discriminatory power (indicator: Shannon index [H′] and Shannon evenness index [J′]), ceiling effect (the proportion of full health state), convergent validity, and health-related quality of life (HRQoL) were compared between the two instruments.
Results
A total of 1802 cancer patients (breast cancer: 601, colorectal cancer: 601, lung cancer: 600) were included, with the mean age of 55.6 years. The average inconsistency rate was 4.4%. Compared with EQ-5D-3L (average: H′ = 1.100, J′ = 0.696), an improved discriminatory power was observed in EQ-5D-5L (H′ = 1.473, J′ = 0.932), especially contributing to anxiety/depression dimensions. The ceiling effect was diminished in EQ-5D-5L (26.5%) in comparison with EQ-5D-3L (34.5%) (p < 0.001), mainly reflected in the pain/discomfort and anxiety/depression dimensions. The overall utility score was 0.790 (95% CI 0.778–0.801) for EQ-5D-3L and 0.803 (0.790–0.816) for EQ-5D-5L (p < 0.001). A similar pattern was also observed in the detailed cancer-specific analysis.
Conclusions
With greater discriminatory power, convergent validity and lower ceiling, EQ-5D-5L may be preferable to EQ-5D-3L for the assessment of HRQoL among cancer patients. However, higher utility scores derived form EQ-5D-5L may also lead to lower QALY gains than those of 3L potentially in cost-utility studies and underestimation in the burden of disease.
Similar content being viewed by others
Abbreviations
- HRQoL:
-
Health-related quality of life
- QALYs:
-
Quality-adjusted life years
- EQ-5D:
-
EuroQol five-dimensions
- EQ-5D-3L:
-
Three-level EuroQol five-dimensions
- EQ-5D-5L:
-
Five-level EuroQol five-dimensions
- 95% CI:
-
95% Confidence interval
References
Fitzmaurice, C., Abate, D., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdel-Rahman, O., et al. (2019). Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: A systematic analysis for the Global Burden of Disease Study. JAMA Oncology, 5, 1749–1768.
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A.(2018). Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 68, 394–424.
Zheng, R. S., Sun, K. X., Zhang, S. W., Zeng, H. M., Zou, X. N., et al. (2019). Report of cancer epidemiology in China, 2015. Chinese Journal of Oncology., 41, 19–28.
Lloyd, A., & Pickard, A. S. (2019). The EQ-5D and the EuroQol Group. Value in Health, 22, 21–22.
Brooks, R., Rabin, R., & De Charro, F. (2003). The measurement and valuation of health status using EQ-5D: A European perspective. Dordrecht: Springer.
EQ-5D-3L. (2020). https://euroqol.org/eq‐5d-instruments/eq-5d-3l-about/. Cited June 6 2020
The EuroQol Group. (1990). EuroQol—a new facility for the measurement of health-related quality of life. Health Policy, 16, 199–208.
Janssen, B., Szende, A., & Ramos-Goni, J. M. (2014). Self-reported population health: An international perspective based on EQ-5D. Dordrecht: Springer.
Rabin, R., Gudex, C., Selai, C., & Herdman, M. (2014). From translation to version management: A history and review of methods for the cultural adaptation of the EuroQol five-dimensional questionnaire. Value in Health, 17, 70–76.
Kopec, J. A., & Willison, K. D. (2003). A comparative review of four preference-weighted measures of health-related quality of life. Journal of Clinical Epidemiology, 56, 317–325.
Brazier, J., Deverill, M., & Green, C. (1999). A review of the use of health status measures in economic evaluation. Journal of Health Services Research & Policy, 4, 174–184.
Sakthong, P., Sonsa-Ardjit, N., Sukarnjanaset, P., & Munpan, W. (2015). Psychometric properties of the EQ-5D-5L in Thai patients with chronic diseases. Quality of Life Research, 24, 3015–3022.
Janssen, M. F., Pickard, A. S., Golicki, D., Gudex, C., Niewada, M., Scalone, L., et al. (2013). Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: A multi-country study. Quality of Life Research, 22, 1717–1727.
Golicki, D., Niewada, M., Karlińska, A., Buczek, J., Kobayashi, A., Janssen, M. F., et al. (2015). Comparing responsiveness of the EQ-5D-5L, EQ-5D-3L and EQ VAS in stroke patients. Quality of Life Research, 24, 1555–1563.
Pattanaphesaj, J., & Thavorncharoensap, M. (2015). Measurement properties of the EQ-5D-5L compared to EQ-5D-3L in the Thai diabetes patients. Health and Quality of Life Outcomes, 13, 14.
Tran, B. X., Ohinmaa, A., & Nguyen, L. T. (2012). Quality of life profile and psychometric properties of the EQ-5D-5L in HIV/AIDS patients. Health and Quality of Life Outcomes, 10, 132.
Yfantopoulos, J., Chantzaras, A., & Kontodimas, S. (2017). Assessment of the psychometric properties of the EQ-5D-3L and EQ-5D-5L instruments in psoriasis. Archives of Dermatological Research, 309, 1–14.
Jia, Y. X., Cui, F. Q., Li, L., Zhang, D. L., Zhang, G. M., Wang, F. Z., et al. (2014). Comparison between the EQ-5D-5L and the EQ-5D-3L in patients with hepatitis B. Quality of Life Research, 23, 2355–2363.
Pan, C. W., Sun, H. P., Wang, X., Ma, Q. H., Xu, Y., Luo, N., et al. (2015). The EQ-5D-5L index score is more discriminative than the EQ-5D-3L index score in diabetes patients. Quality of Life Research, 24, 1767–1774.
Lorgelly, P., CubiMolla, P., Pennington, M. W., & Norman, R. (2018). Comparing the EQ-5D-3L and EQ-5D-5L in a cohort of cancer patients. Value in Health, 21, S226.
Kim, S. H., Kim, H. J., Lee, S., & Jo, M. W. (2012). Comparing the psychometric properties of the EQ-5D-3L and EQ-5D-5L in cancer patients in Korea. Quality of Life Research, 21, 1065–1073.
Pickard, A. S., De Leon, M. C. D., Kohlmann, T., Cella, D., & Rosenbloom, S. (2007). Psychometric comparison of the standard EQ-5D to a 5 level version in cancer patients. Medical Care, 45, 259–263.
Zhou, T., Guan, H. J., Ma, A., & Liu, G. G. (2016). Comparison between the EQ-5D-5L and EQ-5D-3L for general population in China. Value in Health, 19, A829.
Su, M. Z., Hua, X. X., Wang, J. L., Yao, N. L., Zhao, D., Liu, W. D., et al. (2019). Health-related quality of life among cancer survivors in rural China. Quality of Life Research, 28, 695–702.
Liu, L., Li, S. P., Wang, M., & Chen, G. (2017). Comparison of EQ-5D-5L health state utilities using four country-specific tariffs on a breast cancer patient sample in mainland China. Patient Preference and Adherence, 11, 1049–1056.
Huang, W. D., Yang, J. J., Liu, Y., Liu, C. J., Zhang, X., Fu, W. Q., et al. (2018). Assessing health-related quality of life of patients with colorectal cancer using EQ-5D-5L: A cross-sectional study in Heilongjiang of China. British Medical Journal Open, 12, e022711.
Lee, C. F., Luo, N., Ng, R., Wong, N. S., Yap, Y. S., Lo, S. K., et al. (2013). Comparison of the measurement properties between a short and generic instrument, the 5-level EuroQoL Group’s 5-dimension (EQ-5D-5L) questionnaire, and a longer and disease-specific instrument, the Functional Assessment of Cancer Therapy-Breast (FACT-B), in Asian breast cancer patients. Quality of Life Research, 22(7), 1745–1751.
Janssen, M. F., Bonsel, G. J., & Luo, N. (2018). Is EQ-5D-5L better than EQ-5D-3L? A head-to-head comparison of descriptive systems and value sets from seven countries. Pharmacoeconomics, 36, 675–697.
Janssen, M. F., Birnie, E., Haagsma, J. A., & Bonsel, G. J. (2008). Comparing the standard EQ-5D three-level system with a five-level version. Value in Health, 11, 275–284.
Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.
Liu, G. G., Wu, H. Y., Li, M. H., Gao, C., & Luo, N. (2014). Chinese time trade-off values for EQ-5D health states. Value in Health, 17, 597–604.
Luo, N., Liu, G. G., Li, M. H., Guan, H. J., Jin, X. J., & Randhendriksen, K. (2017). Estimating an EQ-5D-5L value set for China. Value in Health, 20, 662–669.
Shannon, C. E. (1948). A mathematical theory of communication. Bell Labs Technical Journal, 27, 379–423.
Dahl, F. A., & Østerås, N. (2010). Quantifying information content in survey data by entropy. Entropy, 12, 161–163.
Pickard, A. S., Kohlmann, T., Janssen, M. F., Bonsel, G., Rosenbloom, S., Cella, D., et al. (2007). Evaluating equivalency between response systems: Application of the Rasch model to a 3-level and 5-level EQ-5D. Medical Care, 45, 812–819.
Janssen, M. F., Birnie, E., & Bonsel, G. J. (2007). Evaluating the discriminatory power of EQ-5D, HUI2 and HUI3 in a US general population survey using Shannon’s indices. Quality of Life Research, 16, 895–904.
Polinder, S., Haagsma, J. A., Bonsel, G., Essinkbot, M. L., Toet, H., & van Beeck, E. F. (2010). The measurement of long-term health-related quality of life after injury: Comparison of EQ-5D and the health utilities index. Injury Prevention, 16, 147–153.
Kang, E. J., & Ko, S. K. (2009). A catalogue of EQ-5D utility weights for chronic diseases among noninstitutionalized community residents in Korea. Value in Health, 12, S114–117.
Scalone, L., Ciampichini, R., Fagiuoli, S., Gardini, I., Fusco, F., Gaeta, L., et al. (2012). Comparing the performance of the standard EQ-5D 3L with the new version EQ-5D 5L in patients with chronic hepatic diseases. Quality of Life Research, 22, 1707–1716.
Kim, T. H., Jo, M. W., Lee, S. I., Kim, S. H., & Chung, M. S. (2013). Psychometric properties of the EQ-5D-5L in the general population of South Korea. Quality of Life Research, 22, 2245–2253.
Martipastor, M., Pont, A., Avila, M., Garin, O., Vilagut, G., Forero, C. G., et al. (2018). Head-to-head comparison between the EQ-5D-5L and the EQ-5D-3L in general population health surveys. Population Health Metrics, 16, 14.
Yfantopoulos, J. N., & Chantzaras, A. E. (2017). Validation and comparison of the psychometric properties of the EQ-5D-3L and EQ-5D-5L instruments in Greece. The European Journal of Health Economics, 18, 519–531.
Cabasés, J.M., Errea, M., & Hernandez-Arenaz, I. (2013). Comparing the psychometric properties of the EQ-5D-5L between mental and somatic chronic patients populations. Departamento de Economía - Universidad Pública de Navarra. (Internet). Retrieved April 9, 2019, from https://EconPapers.repec.org/RePEc:nav:ecupna:1308.
Kim, G. E., Seidler, E., & Kimball, A. B. (2014). The relative impact of psoriasis and obesity on socioeconomic and medical outcomes in psoriasis patients. Journal of the European Academy of Dermatology and Venereology, 28, 216–221.
Jin, X. J., Liu, G. G., Luo, N., Li, H. C., Guan, H. J., & Xie, F. (2016). Is bad living better than good death? Impact of demographic and cultural factors on health state preference. Quality of Life Research, 25(4), 979e86.
Hang, H. Y., Yang, J., Shi, J. F., Zheng, Z. X., Gu, X. Y., Liang, H., et al. (2017). Quality of life in patients with colorectal cancer in mainland China: A systematic review study. Chinese Journal of Prevention & Control of Chronic Diseases, 25, 629–635.
Wang, L., Shi, J. F., Zhu, J., Huang, H. Y., Bai, Y. N., Liu, G. X., et al. (2018). Health-related quality of life and utility scores of patients with breast neoplasms in China: A multicenter cross-sectional survey. Breast, 39, 53–62.
Huang, H. Y., Wang, H., Shi, J. F., Bai, Y. N., Wang, L., Liu, C. C., et al. (2020). Health-Related quality of life of patients with colorectal neoplasms in China: A multicenter cross-sectional survey. Journal of Gastroenterology and Hepatology. https://doi.org/10.1111/jgh.15238.
van den Bergh, K. A., Essinkbot, M. L., Borsboom, G. J., Scholten, E. T., Prokop, M., de Koninget, H. J., et al. (2010). Short-term health-related quality of life consequences in a lung cancer CT screening trial (NELSON). British Journal of Cancer, 102, 27–34.
Wilson, T. R., Alexander, D. J., & Kind, P. (2006). Measurement of health-related quality of life in the early follow-up of colon and rectal cancer. Diseases of the Colon & Rectum, 49, 1692–1702.
Alava, M. H., Wailoo, A., Grimm, S., Pudney, S., Gomes, M., Sadique, Z., et al. (2018). EQ-5D-5L versus EQ-5D-3L: The impact on cost-effectiveness in the United Kingdom. Value in Health, 21, 49–56.
Zhuo, L., Xu, L., Ye, J. T., Sun, S., Zhang, Y. G., Burstrom, K., et al. (2018). Time trade-off value set for EQ-5D-3L based on a nationally representative Chinese population survey. Value in Health, 21, 1330–1337.
Zhu, J., Wang, L., Huang, H. Y., Bai, F. Z., Li, J., Fang, Y., et al. (2019). Short-term impact of breast cancer screening intervention on health-related quality of life in China: A multicenter cross-sectional survey. Psycho-Oncology, 28, 1836–1844.
Acknowledgements
This study was supported by the National Natural Science Foundation of China (81773521, 81402740) and the State Key Projects Specialized on Infectious Diseases (2017ZX10201201-008-002). We thank local health administrative institutes in Guangdong Province, Hunan Province, and Inner Mongolia Autonomous Region for the implementation of the survey, and all cancer patients signed the informed consent. We also appreciate all the dedicated supervisors and interviewers.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Zhu, J., Yan, XX., Liu, CC. et al. Comparing EQ-5D-3L and EQ-5D-5L performance in common cancers: suggestions for instrument choosing. Qual Life Res 30, 841–854 (2021). https://doi.org/10.1007/s11136-020-02636-w
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-020-02636-w