ArticleFrontiers in public health2023
Mapping health assessment questionnaire disability index onto EQ-5D-5L in China.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mapping to estimate health state utility: a systematic review of development and limitations.Health and quality of life outcomes · 2025Pooled it
- Cost-Effectiveness Analysis of Recombinant Tumor Necrosis Factor Receptor: Fc Fusion Protein as First-Line Treatment for Active Rheumatoid Arthritis in China.Healthcare (Basel, Switzerland) · 2025Article
- Assessing the health-state utility values of rare disease-hemophilia B using EQ-5D-5L: a study based on the Chinese population.Orphanet journal of rare diseases · 2025Article
- Prevalence, combination patterns, and quality of life factors of multimorbidity among older adults in southern China based on the health ecological model.Journal of global health · 2025Article
- Observational
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Objective: This research aimed to develop the more accurate mapping algorithms from health assessment questionnaire disability index (HAQ-DI) onto EQ-5D-5L based on Chinese Rheumatoid Arthritis patients. Methods: The cross-sectional data of Chinese RA patients from 8 tertiary hospitals across four provincial capitals was used for constructing the mapping algorithms. Direct mapping using Ordinary least squares regression (OLS), the general linear regression model (GLM), MM-estimator model (MM), Tobit regression model (Tobit), Beta regression model (Beta) and the adjusted limited dependent variable mixture model (ALDVMM) and response mapping using Multivariate Ordered Probit regression model (MV-Probit) were carried out. HAQ-DI score, age, gender, BMI, DAS28-ESR and PtAAP were included as the explanatory variables. The bootstrap was used for validation of mapping algorithms. The average ranking of mean absolute error (MAE), root mean square error (RMSE), adjusted Results: According to the average ranking of MAE, RMSE, adj Conclusion: The mapping algorithms provided in this research can help researchers to obtain the health utility values more accurately. Researchers can choose the mapping algorithms under different combinations of variables based on the actual data.
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