Chinese utility weights for the EORTC cancer-specific utility instrument QLU-C10D
- PMID: 39269580
- DOI: 10.1007/s11136-024-03776-z
Chinese utility weights for the EORTC cancer-specific utility instrument QLU-C10D
Abstract
Objective: The aim of this study is to provide Chinese utility weights for the European Organization for Research and Treatment of Cancer Quality of Life Utility Measure-Core 10 Dimensions (EORTC QLU-C10D) which is a preference-based cancer-specific utility instrument derived from the EORTC QLQ-C30.
Methods: We conducted an online survey of the general population in China, with quota sampling for age and gender. Each respondent was asked to complete a discrete choice experimental survey consisting of 16 randomly selected choice sets. The conditional logit model and mixed logit model were used to analyze respondents' preferences, and the goodness of fit of the model was tested.
Results: A total of 2003 respondents were included in the analysis. Utility decrements within dimensions were typically monotonic. Monotonic inconsistency issues in the Fatigue, Sleep, and Nausea dimensions were normalized by monotonicity correction. Physical functioning, Pain, and Role functioning were associated with the greatest utility weights, with the smallest decrements being in Bowel problems and Emotional functioning. The utility value for the worst health state was 0.083, i.e. slightly higher than being dead.
Conclusions: This study provides the first China-specific set of value for the QLU-C10D based on societal preferences of the Chinese adult general population. The value set can be used as a cancer-specific scoring system for economic evaluations of new oncology therapies and technologies in China.
Keywords: Cancer; China; Discrete choice experiment; Health state valuation; QLU-C10D.
Plain language summary
1. This study provides the first China-specific set of value for the QLU-C10D based on societal preferences of the Chinese adult general population. 2. The value set can be used as a cancer-specific scoring system for economic evaluations of new oncology therapies and technologies in China.
© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Conflict of interest statement
Declarations. Conflict of interest: Madeleine King is the founding chair of the MAUCa Consortium. Richard Norman, Georg Kemmler and Nan Luo are members of MAUCa Consortium. Georg Kemmler and Madeleine T. King are members of EORTC QOL Group. As instrument developers, we are prone to bias towards our MAUI. All authors have no conflict of interest with each other. Ethical approval: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study was approved by the Ethics Committee of Harbin Medical University (project identification code: HMUIRB2023005). Consent to participate: Informed consent was obtained from all individual participants included in the study.
References
-
- Siegel, R. L., Miller, K. D., Fuchs, H. E., & Jemal, A. (2021). Cancer statistics, 2021. C Ca: A Cancer Journal for Clinicians, 71(1), 7–33. https://doi.org/10.3322/caac.21654 - DOI
-
- Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global Cancer statistics 2020: GLOBOCAN estimates of incidence and Mortality Worldwide for 36 cancers in 185 countries. C Ca: A Cancer Journal for Clinicians, 71(3), 209–249. https://doi.org/10.3322/caac.21660 - DOI
-
- McGuire, S., & WHO Press. (2016). World Cancer Report 2014. Geneva, Switzerland: World Health Organization, International Agency for Research on Cancer, 2015. Adv Nutr, 7(2), 418–419. https://doi.org/10.3945/an.116.012211
-
- World Health Organization. (2020). World cancer report: Cancer research for cancer prevention. International Agency for Research on Cancer.
-
- Zheng, R. S., Zhang, S. W., Sun, K. X., Chen, R., Wang, S. M., Li, L., Zeng, H. M., Wei, W. W., & He, J. (2023). [Cancer statistics in China, 2016]. Zhonghua Zhong Liu Za Zhi, 45(3), 212–220. https://doi.org/10.3760/cma.j.cn112152-20220922-00647 - DOI - PubMed
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
