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The EORTC QLU-C10D: the Hong Kong valuation study.
Xu, Richard Huan; Wong, Eliza Lai-Yi; Luo, Nan; Norman, Richard; Lehmann, Jens; Holzner, Bernhard; King, Madeleine T; Kemmler, Georg.
Afiliação
  • Xu RH; Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China. richard.xu@polyu.edu.hk.
  • Wong EL; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China. richard.xu@polyu.edu.hk.
  • Luo N; JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
  • Norman R; Saw Swee Hock School of Public Health, The National University of Singapore, Singapore, Singapore.
  • Lehmann J; School of Public Health, Curtin University, Perth, WA, Australia.
  • Holzner B; Division of Psychiatry II, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.
  • King MT; Division of Psychiatry II, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.
  • Kemmler G; School of Psychology, University of Sydney, Sydney, NSW, Australia.
Eur J Health Econ ; 2023 Sep 28.
Article em En | MEDLINE | ID: mdl-37768519
OBJECTIVE: The EORTC QLU-C10D is a new preference-based measure derived from the EORTC QLQ-C30. Country-specific value sets are required to support the cost-utility analysis of cancer-related interventions. This study aimed to generate an EORTC QLU-C10 value set for Hong Kong (HK). METHODS: A HK online panel was quota-sampled to achieve an adult general population sample representative by sex and age. Participants were invited to complete an online discrete choice experiment survey. Each participant was asked to complete 16 choice-pairs, randomly assigned from a total of 960 choice-pairs, each comprising two QLU-C10D health states and a duration attribute. Conditional and mixed logistic regression analyses were used to analyse the data. RESULTS: The analysis included data from 1041 respondents who had successfully completed the online survey. The distribution of sex did not differ from that of the general population, but a significant difference was found among age groups. A weighting analysis for non-representative variable (age) was used. Utility decrements were generally monotonic, with the largest decrements for physical functioning (- 0.308), role functioning (- 0.165), and pain (- 0.161). The mean QLU-C10D utility score of the participants was 0.804 (median = 0.838, worst to best = - 0.169 to 1). The value of the worst health state was - 0.223, which was sufficiently lower than 0 (being dead). CONCLUSIONS: This study established HK utility weights for the QLU-C10D, which can facilitate cost-utility analyses across cancer-related health programmes and technologies.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article