Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 11/2020

12-06-2020

How the EQ-5D utilities are derived matters in Chinese diabetes patients: a comparison based on different EQ-5D scoring functions for China

Auteurs: Chen-Wei Pan, Ruo-Yu Zhang, Nan Luo, Jun-Yi He, Rui-Jie Liu, Xiao-Hua Ying, Pei Wang

Gepubliceerd in: Quality of Life Research | Uitgave 11/2020

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Objectives

In China, multiple approaches to calculating EQ-5D utilities are available, including the two EQ-5D-3L (3L2014 and 3L2018) scoring functions, the EQ-5D-5L (5L) scoring function, and the crosswalk function linking the 3L utilities and 5L health states. The study compared utilities derived from them in terms of agreement and discriminative power; and assessed whether the use of different approaches may affect QALY estimation in Chinese type 2 diabetes (T2D) patients.

Methods

Cross-sectional data of 289 T2D patients who self-completed both the 5L and 3L questions were used. Agreement were examined using intraclass correlation coefficient (ICC) and Bland–Altman plots. The ability of the EQ-5D utilities in differentiating the patients with and without clinical conditions was evaluated using F-statistics. Their influence on QALY estimation was assessed adopting mean absolute difference (MAD) in utility values between the patients.

Results

The ICC values were 0.881 (3L2014-3L2018), 0.958 (5L-c5L2014), and 0.806 (5L-c5L2018). The two 3L utilities and the three 5L utilities had poor agreement at the lower end of utility scale according to Bland–Altman plots. The 3L2018 utilities had lower F-statistics compared to the 3L2014 utilities; the two c5L utilities had larger or similar F-statistics compared to the 5L utilities. The mean MADs were 0.138 (5L), 0.116 (3L2014), 0.115 (c5L2014), 0.055 (c5L2018), and 0.055 (3L2018).

Conclusion

The 3L2014 utilities is more discriminative than the 3L2018 utilities; and the two c5L utilities have no worse discriminative power compared with the 5L utilities. The choice of the approach to calculating the EQ-5D utilities is likely to affect QALY estimates.
vorige artikel Can survey data facilitate local priority setting? Experience from the Igunga and Nzega districts in Tanzania
volgende artikel Health-related quality of life after traumatic brain injury: deriving value sets for the QOLIBRI-OS for Italy, The Netherlands and The United Kingdom
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
2.
Devlin, N. J., & Brooks, R. (2017). EQ-5D and the EuroQol Group: Past, Present and Future. Appl Health Econ Health Policy, 15(2), 127–137.CrossRefPubMed
3.
4.
Liu, G. (2015). 2015 China Guidelines for Pharmacoeconomic Evaluations and Manual. Beijing: Science Press.
5.
Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRefPubMed
6.
7.
Herdman, M., Gudex, C., Lloyd, A., Janssen, M., Kind, P., et al. (2011). Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Quality of Life Research, 20(10), 1727–1736.CrossRefPubMed
8.
van Hout, B., Janssen, M. F., Feng, Y. S., Kohlmann, T., Busschbach, J., Golicki, D., et al. (2012). Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets. Value Health, 15(5), 708–715.CrossRefPubMed
9.
Golicki, D., Niewada, M., Hout, B. V., Janssen, M. F., & Pickard, A. S. (2014). Interim EQ-5D-5L Value Set for Poland: First Crosswalk Value Set in Central and Eastern Europe. Value Health Reg Issues, 4, 19–23.CrossRefPubMed
10.
Pan, C. W., Sun, H. P., Zhou, H. J., Ma, Q., Xu, Y., Luo, N., et al. (2016). Valuing Health-Related Quality of Life in Type 2 Diabetes Patients in China. Medical Decision Making, 36(2), 234–241.CrossRefPubMed
11.
Kim, S. H., Ahn, J., Ock, M., Shin, S., Park, J., Luo, N., et al. (2016). The EQ-5D-5L valuation study in Korea. Quality of Life Research, 25(7), 1845–1852.CrossRefPubMed
12.
Luo, N., Liu, G., Li, M., Guan, H., Jin, X., & Rand-Hendriksen, K. (2017). Estimating an EQ-5D-5L Value Set for China. Value Health, 20(4), 662–669.CrossRefPubMed
13.
Wong, E., Ramos-Goni, J. M., Cheung, A., Wong, A., & Rivero-Arias, O. (2018). Assessing the Use of a Feedback Module to Model EQ-5D-5L Health States Values in Hong Kong. Patient, 11(2), 235–247.CrossRefPubMed
14.
Ramos-Goni, J. M., Craig, B. M., Oppe, M., Ramallo-Farina, Y., Pinto-Prades, J. L., Luo, N., et al. (2018). Handling Data Quality Issues to Estimate the Spanish EQ-5D-5L Value Set Using a Hybrid Interval Regression Approach. Value Health, 21(5), 596–604.CrossRefPubMed
15.
Mulhern, B., Feng, Y., Shah, K., Janssen, M. F., Herdman, M., van Hout, B., et al. (2018). Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets. Pharmacoeconomics, 36(6), 699–713.CrossRefPubMed
16.
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(6), 675–697.CrossRefPubMed
17.
Ferreira, L. N., Ferreira, P. L., Ribeiro, F. P., & Pereira, L. N. (2016). Comparing the performance of the EQ-5D-3L and the EQ-5D-5L in young Portuguese adults. Health Qual Life Outcomes, 14, 89.CrossRefPubMed
18.
Jin, X., Al, S. F., Ohinmaa, A., Marshall, D. A., Smith, C., & Johnson, J. A. (2019). The EQ-5D-5L Is Superior to the -3L Version in Measuring Health-related Quality of Life in Patients Awaiting THA or TKA. Clinical Orthopaedics and Related Research, 477(7), 1632–1644.CrossRefPubMed
19.
20.
Yang, F., Devlin, N., & Luo, N. (2019). Cost-Utility Analysis Using EQ-5D-5L Data: Does How the Utilities Are Derived Matter? Value Health, 22(1), 45–49.CrossRefPubMed
21.
Hernandez, A. M., 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 Health, 21(1), 49–56.CrossRef
22.
Liu, G. G., Wu, H., Li, M., Gao, C., & Luo, N. (2014). Chinese time trade-off values for EQ-5D health states. Value Health, 17(5), 597–604.CrossRefPubMed
23.
Zhuo, L., Xu, L., Ye, J., Sun, S., Zhang, Y., Burstrom, K., et al. (2018). Time Trade-Off Value Set for EQ-5D-3L Based on a Nationally Representative Chinese Population Survey. Value Health, 21(11), 1330–1337.CrossRefPubMed
24.
25.
Jing, Z., Chu, J., Imam, S. Z., Zhang, X., Xu, Q., Sun, L., et al. (2019). Catastrophic health expenditure among type 2 diabetes mellitus patients: A province-wide study in Shandong China. J Diabetes Investig, 10(2), 283–289.CrossRefPubMed
26.
Zhuang, Y., Ma, Q. H., Pan, C. W., & Lu, J. (2020). Health-related quality of life in older Chinese patients with diabetes. PLoS ONE, 15(2), e229652.CrossRef
27.
Pan, C. W., Wang, S., Wang, P., Xu, C. L., & Song, E. (2018). Diabetic retinopathy and health-related quality of life among Chinese with known type 2 diabetes mellitus. Quality of Life Research, 27(8), 2087–2093.CrossRefPubMed
28.
Zhang, Y., Wu, J., Chen, Y., & Shi, L. (2020). EQ-5D-3L Decrements by Diabetes Complications and Comorbidities in China. Diabetes Ther, 11(4), 939–950.CrossRefPubMed
29.
Pan, C. W., Sun, H. P., Wang, X., Ma, Q., 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(7), 1767–1774.CrossRefPubMed
30.
Kind, P. (2009). A Revised Protocol for the Valuation of Health States Defined by the EQ-5D-3L Classification System: Learning the Lessons from the MVH Study. York: Centre for Health Economics, University of York.
31.
Oppe, M., Devlin, N. J., van Hout, B., Krabbe, P. F., & de Charro, F. (2014). A program of methodological research to arrive at the new international EQ-5D-5L valuation protocol. Value Health, 17(4), 445–453.CrossRefPubMed
32.
Machin, D., & Fayers, P. M. (2016). Quality of life: the assessment, analysis, and reporting of patient-reported outcomes (3rd ed.). Chichester: John Wiley & Sons Inc.
33.
Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1(8476), 307–310.CrossRefPubMed
34.
Jin, X., Liu, G. G., Gerstein, H. C., Levine, M., Guan, H., Li, H., et al. (2018). Minimally important difference and predictors of change in quality of life in type 2 diabetes: A community-based survey in China. Diabetes Metab Res Rev, 34(8), e3053.CrossRefPubMed
35.
McClure, N. S., Sayah, F. A., Ohinmaa, A., & Johnson, J. A. (2018). Minimally Important Difference of the EQ-5D-5L Index Score in Adults with Type 2 Diabetes. Value Health, 21(9), 1090–1097.CrossRefPubMed
36.
Luo, N., Cheung, Y. B., Ng, R., & Lee, C. F. (2015). Mapping and direct valuation: do they give equivalent EQ-5D-5L index scores? Health Qual Life Outcomes, 13, 166.CrossRefPubMed
Metagegevens
Titel
How the EQ-5D utilities are derived matters in Chinese diabetes patients: a comparison based on different EQ-5D scoring functions for China
Auteurs
Chen-Wei Pan
Ruo-Yu Zhang
Nan Luo
Jun-Yi He
Rui-Jie Liu
Xiao-Hua Ying
Pei Wang
Publicatiedatum
12-06-2020
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 11/2020
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02551-0

Andere artikelen Uitgave 11/2020

Quality of Life Research 11/2020 Naar de uitgave

OriginalPaper

3125 steps to perfect health: a nonparametric approach to developing the EQ-5D-5L value set

OriginalPaper

Filling the psycho-social gap in the EQ-5D: the empirical support for four bolt-on dimensions

OriginalPaper

Health-related quality of life of women after HPV testing as triage strategy for an abnormal Pap smear: a nested randomized pragmatic trial in a middle-income country

OriginalPaper

Longitudinal associations of light-intensity physical activity with quality of life, functioning and fatigue after colorectal cancer

OriginalPaper

Using a quality of life (QoL)-monitor: preliminary results of a randomized trial in Dutch patients with early breast cancer

OriginalPaper

Health-related quality of life and physical activity level after a behavior change program at Norwegian healthy life centers: a 15-month follow-up