Evidence map›Paper›PMID 36396878›Full record

ArticlePharmacoEconomics2022

Estimating an EQ-5D-Y-3L Value Set for China.

Zhihao Yang, Jie Jiang, Pei Wang, Xuejing Jin, Jing Wu, Yu Fang, Da Feng, Xiaoyu Xi, Shunping Li, Mingxia Jing and 3 more

Abstract read
In one paragraph

Article in PharmacoEconomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Validation of proxy-reported EQ-5D-Y-3L in younger children with spinal muscular atrophy: age-related differences in performance.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  5. Psychometric properties comparison of EQ-5D-Y-3L and CHU-9D in children with adenoid hypertrophy.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  6. Mapping the NEI-VFQ-25 scores to the EQ-5D-Y-3L and CHU-9D utility values among adolescents with myopia.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  7. Article
  8. Valuation of the EQ-5D-Y-5L Using DCE Methods That Account for Nonlinear Time Preferences.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  9. Do EQ-5D-Y-3L value sets have common properties, and how do they compare to EQ-5D-5L value sets?The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  10. Value set of EQ-5D-Y-3L for Hong Kong.Health and quality of life outcomes · 2026
    Article
  11. Article
  12. Psychometric properties comparison of EQ-5D-Y-3L and CHU9D in children and adolescents across different BMI classifications in Jiangsu, China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  13. Measuring health spillover effects in household members of adolescents and elderly individuals with health issues in China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. An Australian Value Set for the EQ-5D-Y-3L.Health and quality of life outcomes · 2025
    Article
  19. Article
  20. Comparison of the EQ-5D-Y and the CHU-9D instruments in a general child population based on self-reports and proxy-reports.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
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

13 authors.

Zhihao YangHealth Services Management Department, Guizhou Medical University, Gui'an, China. Zhihao_yang_cn@126.com.ORCID 0000-0001-5468-0847
Jie JiangCollege of Pharmacy, Jinan University, Guangzhou, China.
Pei WangSchool of Public Health, Fudan University, Shanghai, China.
Xuejing JinCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jing WuSchool of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Yu FangDepartment of Pharmacy Administration, School of Pharmacy, Health Science Centre, Xi'an Jiaotong University, Xi'an, China.
Da FengSchool of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaoyu XiThe Research Centre of National Drug Policy and Ecosystem, China Pharmaceutical University, Nanjing, China.
Shunping LiCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
Mingxia JingDepartment of Preventive Medicine, Medical College of Shihezi University, Shihezi, China.
Bin ZhengDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China.
Weidong HuangSchool of Health Management, Harbin Medical University, Harbin, China.
Nan LuoSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe standard EQ-5D-Y-3L valuation protocol applies DCE data as the primary preference source to model the relative importance of dimensions while cTTO data served to anchor the DCE coefficients onto the QALY scale. This study aims to estimate an EQ-5D-Y-3L value set for China following this protocol, but with a larger cTTO design to better understand the role of cTTO data in estimating EQ-5D-Y-3L value sets.

methodsIn total, 150 choice sets and 28 EQ-5D-Y-3L health states were valued using DCE and cTTO methods with two independent samples, respectively. General public from 14 different regions were recruited using quota sampling method to achieve representativeness. We compared two modelling strategies: (1) fit the DCE data with mixed logit model with correlated coefficients and a subsequent mapping procedure for anchoring; (2) fit the DCE and TTO data jointly in a hybrid model. Two evaluation criteria (1) coefficient significance and monotonicity; (2) prediction accuracy of the observed cTTO values were used to select the value set.

resultsIn total, 1476 individuals participated in the study, with 1058 participated the DCE interview and 418 participated the cTTO interview. The highest mean TTO value was 0.924 for state 11112 and the lowest mean TTO value was - 0.088 for state 33333. The hybrid model with an A3 term performed the best and was selected as the value set. DISCUSSION: Following the international protocol and using a larger cTTO design, this study established the EQ-5D-Y-3L value set using a hybrid model for China. Future EQ-5D-Y-3L valuation study could consider using a larger cTTO design for estimating the value set.

Indexed as

Health StatusQuality of LifeChinaHumansLogistic ModelsSurveys and Questionnaires

Identifiers

PMID36396878
PMCPMC9758244

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.