Mapping the Shah-modified Barthel Index to the Health Utility Index Mark III by the Mean Rank Method

Cheung, Yin Bun; Tan, Hui Xing; Luo, Nan; Wee, Hwee Lin; Koh, Gerald

doi:10.1007/s11136-019-02254-1

Cited by 6 publications

(6 citation statements)

References 27 publications

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“…Although the range of utility values in this study is relatively narrow, Cheung et al suggested that the range of utility values contributes to the relative performance of the different methods [30]. Concurrently, they developed the Mean Rank Method, a relatively new method that contributed to less over-estimation (under-estimation) of health utility among people in poor (good) health states [30]. Previous research indicated that OLS mapping of utility in a narrow range may be more accurate than in a broad range [29].…”

Section: Discussionmentioning

confidence: 80%

“…The minimum EQ-5D-3L score is 0.364, which is well above the theoretical minimum of -0.149 for the Chinese value set. Although the range of utility values in this study is relatively narrow, Cheung et al suggested that the range of utility values contributes to the relative performance of the different methods [30]. Concurrently, they developed the Mean Rank Method, a relatively new method that contributed to less over-estimation (under-estimation) of health utility among people in poor (good) health states [30].…”

Section: Discussionmentioning

confidence: 91%

“…Then Model 4 is Model 3 + their squared terms; Model 5 is Model 4 + interaction of linear terms. The covariate adjustment (i.e., age, gender) was omitted from in this study, because it may reduce the practical value of the developed mapping function in the regression analysis [30].…”

Section: Statistical Analysesmentioning

confidence: 99%

“…In previous studies [29; 30], the majority of the health utility scores had non-normal distributions with negative skew, as well as a ceiling effect, which violated the assumptions of the ordinary least squares method [OLS]. Despite the fact that its theoretical assumptions were not available, OLS outperformed other regression-based models [30]. In our sample, the distribution of EQ-5D-3L utility is negatively skewed, and there is a large ceiling effect in EQ-5D-3L (62.7% at ceiling).…”

Section: Statistical Analysesmentioning

confidence: 99%

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WITHDRAWN: Mapping the FACT-G to EQ-5D-3L utility index in cancer: data from a cross-sectional study in in Guangxi, China

Liang

et al. 2021

Preprint

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ObjectiveThis study aimed to develop a function for mapping the cancer-specific instrument (FACT–G) to a preference-based measure (EQ-5D-3L) utility index for HRQoL, in which the utility scores were generated using the Chinese value set.MethodThe data are based on a cross-sectional survey of 243 patients in China with different cancer types. Cancer patients who completed the EQ-5D-3L and the FACT-G questionnaire, and patient demographics and clinical characteristics were included in this study. Regression models were used to predict the EQ-5D-3L utility index values based on four subscale scores of the FACT-G using the ordinary least squares (OLS) model, generalized linear models (GLM), censored least absolute deviations (CLAD), Tobit model, and two-part model (TPM) regression approaches. The performance and predictive power of each model were also evaluated using r2 and adj- r2, mean absolute error (MAE) and root mean squared error (RMSE). Linear equating is a mapping technique that avoids regression to the mean.ResultsThe introduction of the square term and the interaction term improves the accuracy of the model. The social well-being subscale of the FACT-G was not associated with the EQ-5D-3L utility index, whereas, the physical, emotional, functional well-being, and FACT-G total scores were derived when mapping the FACT-G to the EQ-5D-3L utility index. For the FACT-G, the OLS model was the best at predicting mean EQ-5D-3L values among all the regression models and has 70% explanatory power for the observed EQ-5D-3L variation. Nevertheless, the OLS model overpredicted utilities for poorer health states and underestimated utilities for those with better health. The result of the OLS model, GLM, and CLAD models were similar to the MAE, MSE, and RMSE. The results showed that the mean prediction accuracy of the OLS models was higher than that of the other models, and the OLS model's linear equating predicted values were much closer to the observed values.ConclusionThe algorithm based on Chinese population development for mapping the FACT-G into the EQ-5D-3L utility index can be realized. We also recommend that OLS models be used to assess the economic evaluation of patients' health-related quality of life when the population is in moderate to good health for further cost-utility analysis in China.

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Section: Discussionmentioning

confidence: 80%

Section: Discussionmentioning

confidence: 91%

Section: Statistical Analysesmentioning

confidence: 99%

Section: Statistical Analysesmentioning

confidence: 99%

See 2 more Smart Citations

WITHDRAWN: Mapping the FACT-G to EQ-5D-3L utility index in cancer: data from a cross-sectional study in in Guangxi, China

Liang

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Mapping Between the Disease-Specific Scales and the Generic Scales With Explicit Transformation Formulas Quite a number of researchers had constructed mapping models between disease-specific scales and generic scales, with 19 articles [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] retrieved.…”

Section: General Characteristics Of the Studiesmentioning

confidence: 99%

Current Status of Research on the Mapping Function of Health Utility Values in the Asia Pacific Region: A Systematic Review

Sun

Zhang

2021

Value in Health Regional Issues

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Mapping IWQOL-Lite onto EQ-5D-5L and SF-6Dv2 among overweight and obese population in China

Guo,

Xie,

Wang

et al. 2024

Qual Life Res

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Mapping the Shah-modified Barthel Index to the Health Utility Index Mark III by the Mean Rank Method

Cited by 6 publications

References 27 publications

WITHDRAWN: Mapping the FACT-G to EQ-5D-3L utility index in cancer: data from a cross-sectional study in in Guangxi, China

WITHDRAWN: Mapping the FACT-G to EQ-5D-3L utility index in cancer: data from a cross-sectional study in in Guangxi, China

Current Status of Research on the Mapping Function of Health Utility Values in the Asia Pacific Region: A Systematic Review

Mapping IWQOL-Lite onto EQ-5D-5L and SF-6Dv2 among overweight and obese population in China

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