Mapping the Haem-A-QoL to the EQ-5D-5L in patients with hemophilia

Richard Huan Xu, Dong Dong (Corresponding Author), Nan Luo, Eliza Lai Yi Wong, Renchi Yang, Junshuai Liu, Huiqin Yuan, Shuyang Zhang (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)


Objective: This study’s objective was to develop an algorithm that mapping the Haem-A-QoL scores to EQ-5D-5L utility scores in patients with hemophilia in China. Methods: A national sample of 862 patients with hemophilia completed both the EQ-5D-5L and Haem-A-QoL instruments. Eight regression models were selected to develop the mapping algorithm, they were: the ordinary least squares, general linear regression, Tobit regression, censored least absolute deviation, mixture beta regression, adjusted limited dependent variable mixture, the two-part, and robust MM-estimator model. Root mean squared error (RMSE), mean absolute error (MAE), and R-square (R2) calculated using the tenfold cross-validation and random sample validation methods were used to assess the predictive ability of the models. Results: Based on RMSE, MAE, and R2, the mixture beta regression model with selected Haem-A-QoL subscale scores as the predicted variables showed the best performance. Conclusions: Our mapping algorithm bolsters the calculation of QALYs while conducting an economic evaluation of hemophilia-related interventions when only Haem-A-QoL data are available. The external validity of the algorithm should be further assessed in the other populations.

Original languageEnglish
JournalQuality of Life Research
Publication statusPublished - 30 Nov 2021


  • EQ-5D
  • Haem-A-QoL
  • Hemophilia
  • Mapping
  • Prediction

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health


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