Evidence map›Paper›PMID 37768519›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2024

The EORTC QLU-C10D: the Hong Kong valuation study.

Richard Huan Xu, Eliza Lai-Yi Wong, Nan Luo, Richard Norman, Jens Lehmann, Bernhard Holzner, Madeleine T King, Georg Kemmler, EORTC QLG

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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  6. Comparing the measurement properties of the EQ-5D-5 L, SF-6Dv2, QLU-C10D and FACT-8D among survivors of classical Hodgkin's lymphoma.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Richard Huan XuDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China. richard.xu@polyu.edu.hk.ORCID http://orcid.org/0000-0002-4720-5172
Eliza Lai-Yi WongJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Nan LuoSaw Swee Hock School of Public Health, The National University of Singapore, Singapore, Singapore.
Richard NormanSchool of Public Health, Curtin University, Perth, WA, Australia.
Jens LehmannDivision of Psychiatry II, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.
Bernhard HolznerDivision of Psychiatry II, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.
Madeleine T KingSchool of Psychology, University of Sydney, Sydney, NSW, Australia.
Georg KemmlerDivision of Psychiatry I, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.
EORTC QLG

Funding

the European Organisation for Research and Treatment of Cancer Quality of Life Group 001/2018
6 · The paper itself

Abstract

objectiveThe 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).

methodsA 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.

resultsThe 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).

conclusionsThis study established HK utility weights for the QLU-C10D, which can facilitate cost-utility analyses across cancer-related health programmes and technologies.

Indexed as

Cost-Benefit AnalysisHealth StatusNeoplasmsQuality of LifeAdolescentAdultAgedAge FactorsFemaleHong KongHumansMaleMiddle AgedQuality-Adjusted Life YearsSex FactorsSurveys and QuestionnairesDecision makingDiscrete choice experimentEORTC QLQ-C30Hong KongQLU-C10DQuality of lifeUtility weights

Identifiers

PMID37768519

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.